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Acharjee, Sumita and Fatima, Tanzeem and Krishnan, Rangachari and Srivastava, Ashutosh and Hanur, Vageeshbabu S and Rao, M Srinivasa (2022) Comparative transcriptome profiling of high and low oil yielding Santalum album L. In: PLOS ONE, 17 (4). ISSN 1932-6203
Acharya, S and Amrutur, B and Bharathesa, M and Simmhan, Y (2022) CORNET 2.0: A Co-Simulation Middleware for Robot Networks. In: 14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022, 4-8 Jan 2022, Bangalore, pp. 684-690.
Acharya, S and Bharadwaj, A and Simmhan, Y and Gopalan, A and Parag, P and Tyagi, H (2020) CORNET: A Co-Simulation Middleware for Robot Networks. In: 2020 International Conference on COMmunication Systems and NETworkS, 7-11 Jan 2020, Bengaluru;, pp. 245-251.
Addepalli, S and Bhogale, K and Dey, P and Babu, RV (2022) Towards Efficient and Effective Self-supervised Learning of Visual Representations. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 523-538.
Addepalli, S and Jain, S and Sriramanan, G and Babu, RV (2021) Boosting adversarial robustness using feature level stochastic smoothing. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 19-25 June 2021, Nashville, pp. 93-102.
Addepalli, S and Jain, S and Sriramanan, G and Venkatesh Babu, R (2022) Scaling Adversarial Training to Large Perturbation Bounds. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 27 October 2022, Tel Aviv, pp. 301-316.
Addepalli, S and Nasery, A and Netrapalli, P and Babu, VR and Jain, P (2023) FEATURE RECONSTRUCTION FROM OUTPUTS CAN MITIGATE SIMPLICITY BIAS IN NEURAL NETWORKS. In: 11th International Conference on Learning Representations, ICLR 2023, 1 May 2023through 5 May 2023, Kigali.
Addepalli, S and Nayak, GK and Chakraborty, A and Babu, RV (2020) Degan: Data-enriching gan for retrieving representative samples from a trained classifier. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7 - 12 February 2020, New York, pp. 3130-3137.
Addepalli, S and Tamboli, D and Babu, RV and Banerjee, B (2020) Saliency-Driven Class Impressions for Feature Visualization of Deep Neural Networks. In: Proceedings - International Conference on Image Processing, 25-28, September 2020, Virtual, Abu Dhabi; United Arab Emirates, pp. 1936-1940.
Addepalli, S and Vivek, BS and Baburaj, A and Sriramanan, G and Venkatesh Babu, R (2020) Towards Achieving Adversarial Robustness by Enforcing Feature Consistency across Bit Planes. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 14-19 JUne 2020, Virtual, Online, pp. 1017-1026.
Aggarwal, S and Babu, RV and Chakraborty, A (2020) Text-based person search via attribute-aided matching. In: IEEE/CVF Winter Conference on Applications of Computer Vision, 1-5 March 2020, Snowmass Village, United States, pp. 2606-2614.
Ahmad, T and Lyngdoh, Rb and Sahadevan, As and Raha, S and Gupta, PK and Misra, A (2020) Four-directional spatial regularization for sparse hyperspectral unmixing. In: Journal of Applied Remote Sensing, 14 (4). 046511.
Ahmad, T and Raha, S COMPUTATIONALLY-EFFICIENT BANDWISE GBM MODEL FOR HYPERSPECTRAL NONLINEAR UNMIXING. In: IGARSS 2022 .
Ahmad, Touseef and Lyngdoh, Rosly B and Anand, SS and Gupta, Praveen K and Misra, Arundhati and Raha, Soumyendu (2021) Robust Coupled Non-Negative Matrix Factorization for Hyperspectral and Multispectral Data Fusion. In: IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, 12-16 July, 2021, Brussels, Belgium, pp. 2456-2459.
Ahmad, Touseef and Raha, Soumyendu and B Lyngdoh, Rosly and S Sahadevan, Anand (2022) Robust generalized bilinear model with weighted low-rank representation for hyperspectral image unmixing. In: Journal of Applied Remote Sensing, 16 (2). 024524-1.
Ahne, A and Khetan, V and Tannier, X and Rizvi, MIH and Czernichow, T and Orchard, F and Bour, C and Fano, A and Fagherazzi, G (2022) Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach. In: JMIR Medical Informatics, 10 (7).
Ahuja, VR and Gupta, U and Rapole, SR and Saxena, N and Hofmann, R and Day-Stirrat, RJ and Prakash, J and Yalavarthy, PK (2022) Siamese-SR: A Siamese Super-Resolution Model for Boosting Resolution of Digital Rock Images for Improved Petrophysical Property Estimation. In: IEEE Transactions on Image Processing, 31 . pp. 3479-3493.
Aketh, TM and Vadhiyar, Sathish and Vinayachandran, PN and Nanjundiah, Ravi (2017) High Performance Horizontal Diffusion Calculations in Ocean Models on Intel® Xeon Phi™ Coprocessor Systems. In: 23rd IEEE International Conference on High Performance Computing, HiPC 2016, 19 - 22 December 2016, Hyderabad, pp. 203-211.
Ambikasaran, Sivaram and Narayanaswamy, Krithika (2017) An accurate, fast, mathematically robust, universal, non-iterative algorithm for computing multi-component diffusion velocities. In: PROCEEDINGS OF THE COMBUSTION INSTITUTE, 36 (1). pp. 507-515.
Anand, SK (2018) Robust Initial Position Estimate of GEO/IGSO Satellite from Projection based Processing of Range Observables. In: 8th International Conference on Localization and GNSS: Seamless Indoor-Outdoor Localization, ICL-GNSS 2018, 26 - 28 June 2018, Guimaraes.
Anjali, P and Subramani, DN (2021) Inter and Intra-Annual Spatio-Temporal Variability of Habitat Suitability for Asian Elephants in India: A Random Forest Model-based Analysis. In: 2021 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2021, 6 - 10 December 2021, Virtual, Online, pp. 467-470.
Annamalai, L and Chakraborty, A and Thakur, CS (2021) EvAn: Neuromorphic Event-Based Sparse Anomaly Detection. In: Frontiers in Neuroscience, 15 .
Arora, A and Patil, V and Kundu, P and Kondaiah, P and Hegde, AS and Arivazhagan, A and Santosh, V and Pal, D and Somasundaram, K (2019) Serum biomarkers identification by iTRAQ and verification by MRM: S100A8/S100A9 levels predict tumor-stroma involvement and prognosis in Glioblastoma. In: Scientific Reports, 9 (1).
Arun, I and Venkatapathi, Murugesan (2016) Analysis of numerical solutions to Sommerfeld integral relation of the half-space radiator problem. In: APPLIED NUMERICAL MATHEMATICS, 106 . pp. 79-97.
Avasarala, S and Subramani, D (2021) A non-Gaussian Bayesian filter for sequential data assimilation with non-intrusive polynomial chaos expansion. In: International Journal for Numerical Methods in Engineering .
Awasthi, N and Dayal, A and Cenkeramaddi, LR and Yalavarthy, PK (2021) Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19. In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68 (6). pp. 2023-2037.
Awasthi, N and Gupta, S and Kiran, A and Pardasani, R (2021) State-of-the-art equipment for rapid and accurate diagnosis of COVID-19. [Book Chapter]
Awasthi, N and Jain, G and Kalva, SK and Pramanik, M and Yalavarthy, PK (2020) Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography. In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 67 (12). pp. 2660-2673.
Awasthi, N and Kalva, SK and Pramanik, M and Yalavarthy, PK (2021) Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data. In: Biomedical Optics Express, 12 (3). pp. 1320-1338.
Awasthi, N and Katare, P and Gorthi, SS and Yalavarthy, PK (2020) Guided filter based image enhancement for focal error compensation in low cost automated histopathology microscopic system. In: Journal of Biophotonics .
Awasthi, N and Pardasani, R and Gupta, S (2021) Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. In: 6th International MICCAI Brainlesion Workshop, BrainLes 2020, 4 Oct 2020, pp. 168-178.
Awasthi, Navchetan and Kalva, Sandeep Kumar and Pramanik, Manojit and Yalavarthy, Phaneendra K (2018) Image-guided filtering for improving photoacoustic tomographic image reconstruction. In: JOURNAL OF BIOMEDICAL OPTICS, 23 (9).
Awasthi, Navchetan and Prabhakar, K Ram and Kalva, Sandeep Kumar and Pramanik, Manojit and Babu, R Venkatesh and Yalavarthy, Phaneendra K (2019) PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics. In: BIOMEDICAL OPTICS EXPRESS, 10 (5). pp. 2242-2258.
Badiger, S and Baheti, S and Simmhan, Y (2018) VIoLET: A Large-Scale Virtual Environment for Internet of Things. In: 24th International European Conference on Parallel and Distributed Computing, Euro-Par 2018, 27 - 31 August 2018, Turin, pp. 309-324.
Baheti, S and Anjana, PS and Peri, S and Simmhan, Y (2022) DiPETrans: A framework for distributed parallel execution of transactions of blocks in blockchains. In: Concurrency and Computation: Practice and Experience .
Baheti, S and Badiger, S and Simmhan, Y (2021) VIoLET: An Emulation Environment for Validating IoT Deployments at Large Scales. In: ACM Transactions on Cyber-Physical Systems, 5 (3).
Banerjee, Anupam and Pal, Abantika and Pal, Debnath and Mitra, Pralay (2018) Ebolavirus interferon antagonists-protein interaction perspectives to combat pathogenesis. In: BRIEFINGS IN FUNCTIONAL GENOMICS, 17 (6). pp. 392-401.
Banerjee, S and Mahesh, Y and Prabhu, D and Sekar, K and Sen, P (2023) Identification of potent anti-fibrinolytic compounds against plasminogen and tissue-type plasminogen activator employing in silico approaches. In: Journal of Biomolecular Structure and Dynamics .
Bashir, S and Banday, M and Qadri, O and Pal, D and Bashir, A and Hilal, N and Altaf, M and Fazili, KM (2023) The Bcl-2 family protein bid interacts with the ER stress sensor IRE1 to differentially modulate its RNase activity. In: FEBS Letters .
Behera, R and Gerontitis, D and Stanimirovi, P and Katsikis, V and Shi, Y and Cao, X (2023) An efficient zeroing neural network for solving time-varying nonlinear equations. In: Neural Computing and Applications .
Behera, R and Maharana, G and Sahoo, JK and Stanimirović, PS (2022) Characterizations of the Weighted Core-EP Inverses. In: Bulletin of the Iranian Mathematical Society .
Behera, R and Sahoo, JK and Stanimirovi�, PS and Stupina, A and Stupin, A (2024) Computing Tensor Generalized Bilateral Inverses. In: Communications on Applied Mathematics and Computation .
Bera, A and Dutta, A and Dhara, AK (2021) Deep learning based fault classification algorithm for roller bearings using time-frequency localized features. In: 2021 IEEE International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2021, 19-20 Feb 2021, Greater Noida, pp. 419-424.
Bhadra, Pratiti and Pal, Debnath (2017) Pipeline for inferring protein function from dynamics using coarse-grained molecular mechanics forcefield. In: COMPUTERS IN BIOLOGY AND MEDICINE, 83 . pp. 134-142.
Bhatia, J and Dayal, A and Jha, A and Vishvakarma, SK and Joshi, S and Srinivas, MB and Yalavarthy, PK and Kumar, A and Vadlamani, L and Koorapati, S and Cenkeramaddi, LR (2021) Classification of targets using statistical features from range fft of mmwave fmcw radars. In: Electronics (Switzerland), 10 (16).
Bhatia, S and Alsuwailam, RI and Roy, DG and Mashat, A (2022) Improved Multimedia Object Processing for the Internet of Vehicles. In: Sensors, 22 (11).
Bhatt, Manish and Acharya, Atithi and Yalavarthy, Phaneendra K (2016) Computationally efficient error estimate for evaluation of regularization in photoacoustic tomography. In: JOURNAL OF BIOMEDICAL OPTICS, 21 (10).
Bhatt, Manish and Ayyalasomayajula, Kalyan Ram and Yalavarthy, Phaneendra K (2016) Generalized Beer-Lambert model for near-infrared light propagation in thick biological tissues. In: JOURNAL OF BIOMEDICAL OPTICS, 21 (7).
Bhatt, Manish and Gutta, Sreedevi and Yalavarthy, Phaneendra K (2016) Exponential filtering of singular values improves photoacoustic image reconstruction. In: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 33 (9). pp. 1785-1792.
Bhoot, R and Ghanmode, SS and Simmhan, Y (2024) TARIS: Scalable Incremental Processing of Time-Respecting Algorithms on Streaming Graphs. In: IEEE Transactions on Parallel and Distributed Systems .
Bhowmick, A and Vadhiyar, S and Varun, P V (2022) Scalable multi-node multi-GPU Louvain community detection algorithm for heterogeneous architectures. In: Concurrency and Computation: Practice and Experience .
Bhowmik, A and Vadhiyar, S (2019) HyDetect: A Hybrid CPU-GPU Algorithm for Community Detection. In: 26th Annual IEEE International Conference on High Performance Computing, HiPC 2019, 17-19, December 2019, Hyderabad, pp. 2-11.
Bin Masood, Talha and Natarajan, Vijay (2016) An Integrated Geometric and Topological Approach to Connecting Cavities in Biomolecules. In: IEEE Pacific Visualization Symposium (IEEE PacificVis), APR 19-22, 2016, Natl Taiwan Univ Sci & Technol, Taipei, TAIWAN, pp. 104-111.
Biswas, Ansuman and Shukla, Arpit and Vijayan, R S K and Jeyakanthan, Jeyaraman and Sekar, Kanagaraj (2017) Crystal structures of an archaeal thymidylate kinase from Sulfolobus tokodaii provide insights into the role of a conserved active site Arginine residue. In: JOURNAL OF STRUCTURAL BIOLOGY, 197 (3). pp. 236-249.
Biswas, Arnab Kumar and Nandy, S K and Narayan, Ranjani (2017) Multiprocessor system-on-chip for processing data in cloud computing. [Book Chapter]
Biswas, P and Narayan, R and Nandy, SK and Alle, Mythri and Varadarajan, K and Mondal, R and Udupa, PP (2010) Accelerating Numerical Linear Algebra Kernels on a Scalable Run Time Reconfigurable Platform. In: 2010 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 5-7 July 2010, Lixouri, Kefalonia.
Biswas, Prasenjit and Alle, Mythri and Nandy, SK and Narayan, R and Varadarajan, Keshavan (2010) Design space exploration of systolic realization of QR factorization on a runtime reconfigurable platform. In: 2010 International Conference on Embedded Computer Systems (SAMOS), 19-22 July 2010, Samos.
Biswas, Sovan and Babu, RV (2017) Anomaly detection via short local trajectories. In: NEUROCOMPUTING, 242 . pp. 63-72.
Boda, Sunil Kumar and Pandit, Subhendu and Garai, Aditya and Pal, Debnath and Basu, Bikramjit (2016) Bacterial siderophore mimicking iron complexes as DNA targeting antimicrobials. In: RSC ADVANCES, 6 (45). pp. 39245-39260.
Boominathan, Lokesh and Kruthiventi, Srinivas SS and Babu, Venkatesh R (2016) CrowdNet: A Deep Convolutional Network for Dense Crowd Counting. In: 24th ACM Multimedia Conference (MM), OCT 15-19, 2016, Amsterdam, NETHERLANDS, pp. 640-644.
Boominathan, Lokesh and Srinivas, Suraj and Babu, RV (2016) Compensating for Large In-Plane Rotations in Natural Images. In: 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), DEC 18-22, 2016, Indian Inst Technol, Guwahati, INDIA.
Breland, DS and Dayal, A and Jha, A and Yalavarthy, PK and Pandey, OJ and Cenkeramaddi, LR (2021) Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images. In: IEEE Sensors Journal, 21 (23). pp. 26602-26614.
Breland, DS and Skriubakken, SB and Dayal, A and Jha, A and Yalavarthy, PK and Cenkeramaddi, LR (2021) Deep Learning-Based Sign Language Digits Recognition from Thermal Images with Edge Computing System. In: IEEE Sensors Journal, 21 (9). pp. 10445-10453.
Chakrabarti, Bornali and Bairagya, Hridoy R and Mukhopadhyay, Bishnu P and Sekar, K (2017) New biochemical insight of conserved water molecules at catalytic and structural Zn2+ ions in human matrix metalloproteinase-I: a study by MD-simulation. In: JOURNAL OF MOLECULAR MODELING, 23 (2).
Chakraborty, A and Singh, A and Bohara, VA and Srivastava, A (2020) A Visible Light Communication based predictive system for the height and location estimation of an obstacle. In: 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2020, 14-17 Dec 2020, New Delhi; India.
Chandra, G and Gibney, D and Jain, C (2024) Haplotype-Aware Sequence Alignment to Pangenome Graphs. In: 28th International Conference on Research in Computational Molecular Biology., 29 April 2024 through 2 May 2024, Cambridge, pp. 381-384.
Chandra, G and Jain, C (2023) Gap-Sensitive Colinear Chaining Algorithms for Acyclic Pangenome Graphs. In: Journal of Computational Biology .
Chandra, G and Jain, C (2023) Sequence to Graph Alignment Using Gap-Sensitive Co-linear Chaining. In: 27th International Conference on Research in Computational Molecular Biology, RECOMB 2023, 16 - 19 April 2023, Istanbul, pp. 58-73.
Chandrasekaran, P and Kumar, C Santosh and Rangachari, K and Sekar, K (2019) Disassociation of beta 1-alpha 1-beta 2 from the alpha 2-alpha 3 domain of prion protein (PrP) is a prerequisite for the conformational conversion of PrPC into PrPSc: Driven by the free energy landscape. In: INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 136 . pp. 368-376.
Chatterjee, D and Dutta, A and Sil, D and Chandra, A (2023) Deep Single Shot Musical Instrument Identification using Scalograms. In: 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023, 20 - 23 February 2023, Virtual, Online, pp. 386-389.
Chaturvedi, S and Simmhan, Y (2019) Toward resilient stream processing on clouds using moving target defense. In: 22nd IEEE International Symposium on Real-Time Distributed Computing, ISORC 2019, 7 May 2019-9 May 2019, Valencia, pp. 134-142.
Chaturvedi, S and Tyagi, S and Simmhan, Y (2021) Cost-Effective Sharing of Streaming Dataflows for IoT Applications. In: IEEE Transactions on Cloud Computing, 9 (4). pp. 1391-1407.
Chaturvedi, Shilpa and Tyagi, Sahil and Simmhan, Yogesh (2017) Collaborative Reuse of Streaming Dataflows in IoT Applications. In: 13th IEEE International Conference on eScience, eScience 2017, 24-27 October 2017, Auckland, pp. 403-412.
Chaudhary, D and Kahali, B and Simmhan, Y (2019) An empirical study on efficient storage of human genome data. In: 26th IEEE International Conference on High Performance Computing Workshops, HiPCW 2019, 17-20, December 2019, Hyderabad, pp. 87-92.
Chaudhary, SK and Iyyappan, Y and Elayappan, M and Jeyakanthan, J and Sekar, K (2019) Insights into product release dynamics through structural analyses of thymidylate kinase. In: International Journal of Biological Macromolecules, 123 . pp. 637-647.
Cheemanapalli, S and Palaniappan, C and Mahesh, Y and Iyyappan, Y and Yarrappagaari, S and Kanagaraj, S (2022) In vitro and in silico perspectives to explain anticancer activity of a novel syringic acid analog ((4-(1H-1, 3-benzodiazol-2-yl)-2, 6-dimethoxy phenol)) through apoptosis activation and NFkB inhibition in K562 leukemia cells. In: Computers in Biology and Medicine, 152 .
Chetan, U and Kar, PK and Sahu, TL and Dhopeshwar, S and Mahato, J and Aditya, K and Lakkaraju, R (2024) Laminar line source starting plumes and their interaction with energy expulsion events. In: Acta Mechanica .
Choubey, N and Verma, A and Chakraborty, A (2023) Automated Crowd Parameter Estimation and Crowd Movement Analysis in Kumbh Mela. In: 6th International Conference of Transportation Research Group of India, CTRG 2021, 14 - 17 December 2021, Tiruchirappalli, pp. 303-318.
Choudhury, S and Komaragiri, JR and Tiwari, PC and Sirunyan, AM and Tumasyan, A and Adam, W (2019) Search for low-mass resonances decaying into bottom quark-antiquark pairs in proton-proton collisions at root s=13 TeV. In: PHYSICAL REVIEW D, 99 (1).
Chowdhury, R and Subramani, DN (2020) Physics-Driven Machine Learning for Time-Optimal Path Planning in Stochastic Dynamic Flows. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2- 4 October 2020, Boston, pp. 293-301.
Chowdhury, Rohit and Navsalkar, Atharva and Subramani, Deepak (2022) GPU-Accelerated Multi-Objective Optimal Planning in Stochastic Dynamic Environments. In: Journal of Marine Science and Engineering, 10 (4). ISSN 2077-1312
Chowdhury, Shubhankar Roy and Roy, Debasish (2019) A non-equilibrium thermodynamic model for viscoplasticity and damage: Two temperatures and a generalized fluctuation relation. In: INTERNATIONAL JOURNAL OF PLASTICITY, 113 . pp. 158-184.
Cucinotta, T and Mueller, F and Simmhan, Y (2022) Guest editorial: Special issue on the 2020 IEEE symposium on real-time distributed computing (ISORC). In: Journal of Systems Architecture, 124 .
Das, A and Namtirtha, A and Dutta, A (2022) Fuzzy clustering of Acute Lymphoblastic Leukemia images assisted by Eagle strategy and morphological reconstruction. In: Knowledge-Based Systems, 239 .
Das, NR and Chaudhury, KN and Pal, D (2024) DREAMweb: An online tool for graph-based modeling of NMR protein structure. In: Proteomics .
Das, NR and Chaudhury, KN and Pal, D (2022) Improved NMR-data-compliant protein structure modeling captures context-dependent variations and expands the scope of functional inference. In: Proteins: Structure, Function and Bioinformatics .
Das, P and Singh, M and Roy, DG (2022) Blockchain-Based COVID-19 Detection Framework Using Federated Deep Learning. In: International Conference on Network Security and Blockchain Technology, ICNSBT 2021, 2 - 4 December 2021, Kolkata, pp. 369-378.
Das, S and Kanungo, B and Subramanian, V and Panigrahi, G and Motamarri, P and Rogers, D and Zimmerman, PM and Gavini, V (2023) Large-Scale Materials Modeling at Quantum Accuracy: Ab Initio Simulations of Quasicrystals and Interacting Extended Defects in Metallic Alloys. In: UNSPECIFIED.
Das, S and Manjunath, K and Biswas, A and Sekar, K (2022) Therapeutic target identification and evaluation using machine learning. [Book Chapter]
Das, S and Motamarri, P and Subramanian, V and Rogers, DM and Gavini, V (2022) DFT-FE 1.0: A massively parallel hybrid CPU-GPU density functional theory code using finite-element discretization. In: Computer Physics Communications, 280 .
Das, S and Sahoo, JK and Behera, R (2022) Further results on weighted core inverse in a ring. In: Linear and Multilinear Algebra .
Dasgupta, R and Arun, A and Sinha, S (2022) Emergent activity networks in a model of punctuated equilibrium. In: European Physical Journal Plus, 137 (12).
Dasgupta, SS and Ray, SN and Talukdar, P (2020) Hyte: Hyperplane-based temporally aware knowledge graph embedding. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 31 Oct-4 Nov 2018, Brussels, Belgium, pp. 2001-2011.
Dash, P and Aditya, K and Kolla, H and Chen, JH (2023) An analysis of lean premixed ethylene-air flame stabilization over a backward facing step. In: AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023, 12 June 2023through 16 June 2023, San Diego, USA.
Dash, P and Mallik, T and Verma, N and Choudhury, AR and Ravikrishna, RV and Aditya, K (2024) A DEEP LEARNING BASED MODEL FOR IDENTIFYING RECIRCULATION ZONES FROM EXPERIMENTAL IMAGES OF TRAPPED VORTEX COMBUSTORS. In: 69th ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition, GT 2024, 24 June 2024 through 28 June 2024, London.
Dayal, A and Paluru, N and Cenkeramaddi, LR and Soumya, J and Yalavarthy, PK (2021) Design and implementation of deep learning based contactless authentication system using hand gestures. In: Electronics (Switzerland), 10 (2). pp. 1-15.
Debnath, B and Kumaran, V and Kesava Rao, K (2019) The transition from steady non-oscillatory flow to oscillatory flow of granular material through a vertical channel: A dem study. In: 2019 AIChE Annual Meeting, 10-15 November 2019, Hyatt RegencyOrlando; United States.
Deepa Maheshvare, M and Charaborty, R and Haldar, S and Raha, S and Pal, D (2024) Kiphynet: an online network simulation tool connecting cellular kinetics and physiological transport. In: Metabolomics, 20 (5).
Deepa Maheshvare, M and Raha, S and König, M and Pal, D (2023) A pathway model of glucose-stimulated insulin secretion in the pancreatic β-cell. In: Frontiers in Endocrinology, 14 .
Dhanaprakaash, G and Jaiswal, B and Acharya, S and Kumar, A and Varman, AM and Shah, K and Gadde, MS and Mishra, S and Gopalan, A and Amrutur, B and Tyagi, H and Patil, P and Krishnapuram, R and Banerjee, SS and Sundaram, S (2021) Network Based Multi-Bot Awareness. In: 2021 International Conference on COMmunication Systems and NETworkS, COMSNETS 2021, 5-9 Jan 2021, Bangalore; India, pp. 138-139.
Dindokar, R and Simmhan, Y (2019) Adaptive partition migration for irregular graph algorithms on elastic resources. In: 12th IEEE International Conference on Cloud Computing, CLOUD 2019, 8 - 13 July 2019, Milan, pp. 281-290.
Divakar, Nithish and Babu, R Venkatesh (2017) Image Denoising via CNNs: An Adversarial Approach. In: 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017, 21 - 26 July 2017, Honolulu, pp. 1076-1083.
Doraiswamy, H and Kalagi, V and Ramachandra, K and Haritsa, JR (2023) A Case for Graphics-driven Query Processing. In: 49th International Conference on Very Large Data Bases, VLDB 2023, 28 August - 1 September 2023, Vancouver, pp. 2499-2511.
Dutta, Riya and Jain, Kritika and Venkatapathi, Murugesan and Basu, J K (2019) Large emission enhancement and emergence of strong coupling with plasmons in nanoassemblies: Role of quantum interactions and finite emitter size. In: PHYSICAL REVIEW B, 100 (15).
de Oliveira, Silvia Rodrigues and Raha, Soumyendu and Pal, Debnath (2018) Global Asymptotic Stability of a Non-linear Population Model of Diabetes Mellitus. In: Differential and Difference Equations with Applications. ICDDEA 2017 - International Conference on Differential & Difference Equations and Applications, June 5 - 9, 2017, Amadora, Portugal, pp. 351-357.
Emelyanov, PG and Krishna, M and Kulkarni, V and Nandy, SK and Ponomaryov, DK and Raha, S (2021) Factorization of Boolean Polynomials: Parallel Algorithms and Experimental Evaluation. In: Programming and Computer Software, 47 (2). pp. 108-118.
Ferraz, O and Subramaniyan, S and Chinthalaa, R and Andrade, J and Cavallaro, JR and Nandy, SK and Silva, V and Zhang, X and Purnaprajna, M and Falcao, G (2022) A Survey on High-Throughput Non-Binary LDPC Decoders: ASIC, FPGA, and GPU Architectures. In: IEEE Communications Surveys and Tutorials, 24 (1). pp. 524-556.
Floris, M and Shiva Sai, T and Nayak, D and Langella, I and Aditya, K and Doan, NAK (2024) Data-driven identification of precursors of flashback in a lean hydrogen reheat combustor. In: Proceedings of the Combustion Institute, 40 (1-4).
Foreman-Mackey, Daniel and Agol, Eric and Ambikasaran, Sivaram and Angus, Ruth (2017) Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series. In: ASTRONOMICAL JOURNAL, 154 (6).
Foreman-Mackey, Daniel and Agol, Eric and Ambikasaran, Sivaram and Angus, Ruth (2017) Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series. In: ASTRONOMICAL JOURNAL, 154 (6).
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Ghosh, I (2021) Within Host Dynamics of SARS-CoV-2 in Humans: Modeling Immune Responses and Antiviral Treatments. In: SN Computer Science, 2 (6).
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Ghosh, I and Nadim, SS and Raha, S and Pal, D (2023) Dynamics of a single-strain and two-strain respiratory infection driven by travel on a metapopulation network. In: Nonlinear Dynamics, 111 (22). pp. 21371-21389.
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Goswami, SK and Aditya, K (2022) An asynchronous discontinuous-Galerkin method for solving PDEs at extreme scales. In: AIAA AVIATION 2022 Forum, 27 June - 1 July 2022, Chicago.
Goswami, SK and Matthew, VJ and Aditya, K (2023) Implementation of low-storage Runge-Kutta time integration schemes in scalable asynchronous partial differential equation solvers. In: Journal of Computational Physics, 477 .
Gruber, A and Bothien, MR and Ciani, A and Aditya, K and Chen, JH and Williams, FA (2021) Direct Numerical Simulation of hydrogen combustion at auto-ignitive conditions: Ignition, stability and turbulent reaction-front velocity. In: Combustion and Flame, 229 .
Guha, S and Kodipalli, A and Rao, T (2023) Computational Deep Learning Models for Detection of COVID-19 Using Chest X-Ray Images. In: Lecture Notes in Electrical Engineering, 25- 26 February 2022, Bengaluru, pp. 291-306.
Guha Roy, D and Mahato, B and De, D and Srirama, SN (2022) Quality of experience aware recommendation system with IoT data filtration for handshaking among users using MQTT-SN protocol. In: Journal of Ambient Intelligence and Humanized Computing .
Guleria, A and Lakshmi, J and Padala, C (2019) EMF: Disaggregated GPUs in Datacenters for Efficiency, Modularity and Flexibility. In: 8th IEEE International Conference on Cloud Computing in Emerging Markets, 19-20 September 2019, Bengaluru, India, pp. 1-8.
Guleria, A and Lakshmi, J and Padala, C (2019) QuADD: QUantifying accelerator disaggregated datacenter efficiency. In: 12th IEEE International Conference on Cloud Computing, CLOUD 2019, 8 July 2019- 13 July 2019, Milan, pp. 349-357.
Gunalan, Seshan and Somarathinam, Kanagasabai and Bhattacharya, Jayanti and Srinivasan, Shantkriti and Jaimohan, S M and Manoharan, Ravi and Ramachandran, Sowmya and Kanagaraj, Sekar and Kothandan, Gugan (2019) Understanding the dual mechanism of bioactive peptides targeting the enzymes involved in Renin Angiotensin System (RAS): An in-silico approach. In: JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS .
Gupta, S and Padmashali, N and Pal, D (2023) INTERPIN: A repository for intrinsic transcription termination hairpins in bacteria. In: Biochimie .
Gupta, S and Padmashali, N and Pal, D (2023) INTERPIN: A repository for intrinsic transcription termination hairpins in bacteria. In: Biochimie, 214-B . pp. 228-236.
Gupta, S and Pal, D (2021) Clusters of hairpins induce intrinsic transcription termination in bacteria. In: Scientific Reports, 11 (1).
Gupta, S and Pal, D (2024) Detection of intrinsic transcription termination sites in bacteria: consensus from hairpin detection approaches. In: Journal of Biomolecular Structure and Dynamics .
Gupta, S and Rai, PK and Kumar, A and Yalavarthy, PK and Cenkeramaddi, LR (2021) Target Classification by mmWave FMCW Radars Using Machine Learning on Range-Angle Images. In: IEEE Sensors Journal, 21 (18). pp. 19993-20001.
Gupta, U and Paluru, N and Nankani, D and Kulkarni, K and Awasthi, N (2024) A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms. In: Heliyon, 10 (5).
Gupta, U and Periyasamy, V and Hofmann, R and Prakash, J and Yalavarthy, PK (2023) Two-step morphology-based denoising and non-local means smoothing improves micro-computed tomography digital rock images. In: Geophysical Prospecting .
Gupta, U and Vadhiyar, S (2019) Fast and Accurate Learning of Knowledge Graph Embeddings at Scale. In: 26th Annual IEEE International Conference on High Performance Computing, HiPC 2019, 17-20. December 2019, Hyderabad, pp. 173-182.
Gupta, V and Saw, A and Nokhiz, P and Netrapalli, P and Rai, P and Talukdar, P (2020) P-SIF: Document embeddings using partition averaging. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7- 12 February 2020, New York, pp. 7863-7870.
Gutta, S and Kalva, SK and Pramanik, M and Yalavarthy, PK (2018) Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography. In: Medical Physics, 45 (8). pp. 3749-3767.
Hariprasad, M (2019) Determinant of binary circulant matrices. In: Special Matrices, 7 (1). pp. 92-94.
Hariprasad, M (2022) MAGIC SQUARES FROM SIMPLE SQUARES. In: Mathematics Student, 91 (1-2). pp. 159-170.
Hariprasad, M and Venkatapathi, M (2024) Circulant decomposition of a matrix and the eigenvalues of Toeplitz type matrices. In: Applied Mathematics and Computation, 468 .
Haritha, K and Sukumaran, VB and Singh, C (2021) Slotted Aloha for FMCW Radar Networks. In: 27th National Conference on Communications, NCC 2021c, 27-30 Jul 2021, Kanpur.
Haritsa, JR (2020) Robust Query Processing: Mission Possible. In: Proceedings of the VLDB Endowment, 13 (12). pp. 3425-3428.
Haritsa, Jayant R and Sudarshan, S (2019) Turbocharging Database Query Processing and Testing. In: COMMUNICATIONS OF THE ACM, 62 (11). pp. 48-49.
Haty, A and Ray, RK and Kumar, A (2023) A computational study of forced convection from rotating circular cylinder heated with time-periodic pulsating temperature. In: 2nd International Conference on Recent Advances in Fluid and Thermal Sciences 2020, iCRAFT 2020, 19- 21 March 2021.
Honnalgere, A and Nayak, G (2019) Classification of normal versus malignant cells in B-ALL white blood cancer microscopic images. [Book Chapter]
Hsia, J and Pruthi, D and Singh, A and Lipton, ZC (2024) Goodhart�s Law Applies to NLP�s Explanation Benchmarks. In: 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024 - Findings of EACL 2024, 17 March 2024through 22 March 2024, St. Julian's, pp. 1322-1335.
Iqbal, S and Malik, MZ and Pal, D (2021) Network-based identification of miRNAs and transcription factors and in silico drug screening targeting δ-secretase involved in Alzheimer's disease. In: Heliyon, 7 (12).
Iqbal, S and Pal, D (2024) microRNA Isolation, Expression Profiling, and Target Identification for Neuroprotection in Alzheimer�s Disease. [Book Chapter]
Iqbal, S and Potharaju, R and Naveen, S and Lokanath, NK and Mohanakrishnan, AK and Gunasekaran, K (2021) Design, crystal structure determination, molecular dynamic simulation and MMGBSA calculations of novel p38-alpha MAPK inhibitors for combating Alzheimer�s disease. In: Journal of Biomolecular Structure and Dynamics .
Isaac, A and Jawlekar, A and Venkatapathi, M (2023) An algorithm for estimating non-convex volumes and other integrals in n dimensions. In: Computational and Applied Mathematics, 42 (6).
Iyer, N and Ganesan, S (2020) Parallel smoothers in multigrid method for heterogeneous CPU-GPU environment. [Book Chapter]
Iyyappan, Y and Dhayabaran, V and Elayappan, M and Chaudhary, SK and Palaniappan, C and Kanagaraj, S (2023) Functional characterization of a hypothetical protein (TTHA1873) from Thermus thermophilus. In: Proteins: Structure, Function and Bioinformatics .
Jain, C (2023) Coverage-preserving sparsification of overlap graphs for long-read assembly. In: Bioinformatics (Oxford, England), 39 (3).
Jain, C and Gibney, D and Thankachan, SV (2022) Algorithms for Colinear Chaining with Overlaps and Gap Costs. In: Journal of computational biology : a journal of computational molecular cell biology, 29 (11). pp. 1237-1251.
Jain, C and Gibney, D and Thankachan, SV (2022) Co-linear Chaining with Overlaps and Gap Costs. In: 26th International Conference on Research in Computational Molecular Biology, RECOMB 2022, 22 - 25 May 2022, San Diego, pp. 246-262.
Jain, C and Rhie, A and Hansen, NF and Koren, S and Phillippy, AM (2022) Long-read mapping to repetitive reference sequences using Winnowmap2. In: Nature Methods .
Jain, C and Tavakoli, N and Aluru, S (2021) A variant selection framework for genome graphs. In: Bioinformatics, 37 . I460-I467.
Jain, Kritika and Venkatapathi, Murugesan (2022) Radiative decay of an emitter due to non-Markovian interactions with dissipating matter. In: Journal of Physics: Condensed Matter, 34 (26). ISSN 0953-8984
Jain, Kritika and Venkatapathi, Murugesan (2019) Strong Coupling of an Emitter with Absorbing Matter: A Regime for Enhancement of Light Emission. In: PHYSICAL REVIEW APPLIED, 11 (5).
Jain, P and Manglani, K and Venkatapathi, M (2023) Error Estimators and Their Analysis for CG, Bi-CG, and GMRES. In: Numerical Analysis and Applications, 16 (2). pp. 135-153.
Jaiswal, SD and Simmhan, Y (2019) A partition-centric distributed algorithm for identifying euler circuits in large graphs. In: 33rd IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019, 20 - 24 May 2019, Rio de Janeiro, pp. 452-459.
Jamadagni, Nitin and Simmhan, Yogesh (2016) GoDB: From Batch Processing to Distributed Querying over Property Graphs. In: 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), MAY 16-19, 2016, Cartagena, COLOMBIA, pp. 281-290.
Jambigi, C and Masud, U and Chakraborty, A (2022) G-PReDICT: Generalizable Person Re-ID using Domain Invariant Contrastive Techniquesg±. In: 13th Indian Conference on Computer Vision, Graphics, and Image Processing,, 8 - 10 Dec 2022, Gandhinagar.
Jat, S and Tang, H and Talukdar, P and Mitchel, T (2020) Relating simple sentence representations in deep neural networks and the brain. In: 57th Annual Meeting of the Association for Computational Linguistics, ACL 2019, 28 July-2 August 2019, Florence; Italy, pp. 5137-5154.
Jha, Shantenu and Katz, S Daniel and Luckow, Andre and Hong, Neil Chue and Rana, Omer and Simmhan, Yogesh (2017) Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. In: CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 29 (8).
Jonnalagadda, A and Sharma, A and Agrawal, A (2023) On application of the regularized lattice Boltzmann method for isothermal flows with non-vanishing Knudsen numbers. In: Numerical Heat Transfer, Part B: Fundamentals .
Joshi, SM and Kazolea, M and Ricchiuto, M (2022) Parameter Sensitivity for Wave-Breaking Closures in Boussinesq-Type Models. In: Water Waves .
Jouquet, P and Pando, A and Aroui, H and Harit, A and Capowiez, Y and Bottinelli, N (2018) Evidence from Mid-Infrared Spectroscopy (MIRS) that the biochemical fingerprints of Odontotermes obesus colonies change according to their geographical location and age. In: INSECTES SOCIAUX, 65 (1). pp. 77-84.
Kadimesetty, VS and Gutta, S and Ganapathy, S and Yalavarthy, PK (2019) Convolutional neural network-based robust denoising of low-dose computed tomography perfusion maps. In: IEEE Transactions on Radiation and Plasma Medical Sciences, 3 (2). pp. 137-152.
Kala, S and Nalesh, S and Jose, BR and Mathew, J (2017) Image reconstruction using novel two-dimensional Fourier transform. [Book Chapter]
Kala, S and Nalesh, S and Jose, BR and Mathew, J and Ottavi, M (2018) Two dimensional FFT architecture based on radix-43 algorithm with efficient output reordering. In: 13th IEEE International Conference on Design and Technology of Integrated Systems In Nanoscale Era, DTIS 2018, 10 - 12 April 2018, Taormina, pp. 1-2.
Kalikar, S and Jain, C and Vasimuddin, M and Misra, S (2022) Accelerating minimap2 for long-read sequencing applications on modern CPUs. In: Nature Computational Science, 2 (2). pp. 78-83.
Karanjkar, N and Joshi, SM (2021) Mixed discrete-continuous simulation for digital Twins. In: 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 7-9 Jul 2021, pp. 422-429.
Karmali, T and Atrishi, A and Harsha, SS and Agrawal, S and Jampani, V and Babu, RV (2022) LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 January 2022 through 8 January 2022, Waikoloa, pp. 3046-3055.
Karmali, T and Parihar, R and Agrawal, S and Rangwani, H and Jampani, V and Singh, M and Babu, RV (2022) Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 443-459.
Karthik, S and Haritsa, JR and Kenkre, S and Pandit, V and Krishnan, L (2019) Platform-Independent Robust Query Processing. In: IEEE Transactions on Knowledge and Data Engineering, 31 (1). pp. 17-31.
Karthik, Srinivas and Haritsa, Jayant R and Kenkre, Sreyash and Pandit, Vinayaka (2016) Platform-independent Robust Query Processing. In: 32nd IEEE International Conference on Data Engineering (ICDE), MAY 16-20, 2016, Helsinki, FINLAND, pp. 325-336.
Kashyap, R and Yerra, NV and Oja, J and Bala, S and Potuganti, GR and Thota, JR and Alla, M and Pal, D and Addlagatta, A (2021) Exo-selective intermolecular Diels�Alder reaction by PyrI4 and AbnU on non-natural substrates. In: Communications Chemistry, 4 (1).
Kathirvel, RP and Agrawal, S and Radhakrishnan, VB (2021) Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. In: IEEE Transactions on Computational Imaging, 7 . pp. 1228-1239.
Katrahalli, U and Shanker, G and Pal, D and Hadagali, MD (2022) Molecular spectroscopic and docking analysis of the interaction of fluorescent thiadicarbocyanine dye with biomolecule bovine serum albumin. In: Journal of Biomolecular Structure and Dynamics .
Kaur, N and Choudhury, M and Pruthi, D (2024) Evaluating Large Language Models for Health-related Queries with Presuppositions. In: Findings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024, 11 August 2024-16 August 2024, Bangkok, pp. 14308-14331.
Kaushik, A and Yalavarthy, PK and Saha, RK (2020) Convergent Born series improves the accuracy of numerical solution of time-independent photoacoustic wave equation. In: Journal of Modern Optics, 67 (9). pp. 849-855.
Kesarwani, M and Kaul, A and Singh, G and Deshpande, PM and Haritsa, JR (2018) Collusion-Resistant Processing of SQL Range Predicates. In: Data Science and Engineering, 3 (4). pp. 323-340.
Kesarwani, M and Kaul, A and Singh, G and Deshpande, PM and Haritsa, JR (2018) Collusion-resistant processing of SQL range predicates. In: 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, 21 - 24 May 2018, Gold Coast, pp. 211-227.
Khamvilai, T and Sutter, L and Mains, JB and Feron, E and Baufreton, P and Neumann, F and Krishna, M and Nandy, SK and Narayan, R and Haldar, C (2019) Task Allocation of Safety-Critical Applications on Reconfigurable Multi-Core Architectures with an Application on Control of Propulsion System. In: 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), 8-12 Sept. 2019, San Diego, CA, USA, USA.
Khochare, A and Krishnan, A and Simmhan, Y (2021) A Scalable Platform for Distributed Object Tracking across a Many-Camera Network. In: IEEE Transactions on Parallel and Distributed Systems, 32 (6). pp. 1479-1493.
Khochare, A and Ravindra, P and Reddy, SP and Simmhan, Y (2018) Distributed Video Analytics Across Edge and Cloud Using ECHO. In: 15th International Conference on Service-Oriented Computing, ICSOC 2017,, 13 - 16 November 2017, Malaga, pp. 402-407.
Khochare, A and Sheshadri, KR and Shriram, R and Simmhan, Y (2019) Dynamic scaling of video analytics for wide-area tracking in Urban spaces. In: Proceedings - 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2019, 14 May 2019 - 17 May 2019, Larnaca, pp. 76-81.
Khochare, A and Simmhan, Y (2019) A scalable and composable analytics platform for distributed wide-area tracking. In: 20th International Conference on Distributed Computing and Networking, ICDCN 2019, 4 - 7 January 2019, Bangalore, p. 506.
Khochare, A and Simmhan, Y and Mehta, S and Agarwal, A (2022) Toward Scientific Workflows in a Serverless World. In: Proceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022, 10 - 14 October 2022, Salt Lake City, pp. 399-400.
Kilpatrick, AM and Rahman, F and Anjum, A and Shome, S and Andalib, KMS and Banik, S and Chowdhury, SF and Coombe, P and Astroz, YC and Douglas, JM and Eranti, P and Kiran, AD and Kumar, S and Lim, H and Lorenzi, V and Lubiana, T and Mahmud, S and Puche, R and Rybarczyk, A and Al Sium, SM and Twesigomwe, D and Zok, T and Orengo, CA and Friedberg, I and Kelso, JF and Welch, L (2022) Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia. In: Bioinformatics (Oxford, England), 38 (1). i19-i27.
Kolla, H and Aditya, K and Chen, JH Aditya, K, ed (2020) Higher order tensors for DNS data analysis and compression. Data Analysis for Direct Numerical Simulations of Turbulent Combustion . Springer International Publishing, Switzerland, pp. 109-134. ISBN 978-303044718-2, 978-303044717-5
Kon, R and Kumar, D (2023) Stability of Rosenzweig–MacArthur models with non-diffusive dispersal on non-regular networks. In: Theoretical Population Biology, 150 . pp. 14-22.
Krishnan, MN and Prakash, N and Lalitha, V and Sasidharan, B and Kumar, PV and Narayanamurthy, S and Kumar, R and Nandi, S (2014) Evaluation of codes with inherent double replication for hadoop. In: 6th USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage 2014, 17-18, June, 2014, Philadelphia; United States.
Kulkarni, V and Emelyanov, P and Ponomaryov, D and Krishna, M and Raha, S and Nandy, SK (2019) Parallel Factorization of Boolean Polynomials. In: 12th International Andrei P. Ershov Informatics Conference, PSI 2019; Novosibirsk; Russian Federation, 2-5 July 2019, Novosibirsk; Russian Federation, pp. 80-94.
Kumar, A and Ahuja, K and Vadapalli, R and Talukdar, P (2020) Syntax-guided controlled generation of paraphrases. In: Transactions of the Association for Computational Linguistics, 8 . pp. 330-345.
Kumar, A and Bhattamishra, S and Bhandari, M and Talukdar, P (2019) Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation. In: 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019, 2-7 June 2019, Minneapolis; United States, pp. 3609-3619.
Kumar, A and Ray, RK (2020) A Structural Bifurcation Analysis of Flow Phenomenon for Shear Flow Past an Inclined Square Cylinder: Application to 2D Unsteady Separation. In: Fluid Dynamics, 55 (3). pp. 391-406.
Kumar, A and Ray, RK (2020) Theoretical understanding of unsteady flow separation for shear flow past three square cylinders in vee shape using structural bifurcation analysis. In: Computational and Applied Mathematics, 39 (3).
Kumar, A and Ray, RK and Mittal, HVR (2022) Heat Transfer Past a Rotationally Oscillating Circular Cylinder in Linear Shear Flow. In: Journal of Heat Transfer, 144 (7).
Kumar, A and Ray, RK and Raha, S (2021) Impact of inlet shear on unsteady boundary layer separation from two square cylinders in tandem arrangement. In: Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43 (12).
Kumar, D and Ajayakumar, A and Raha, S (2021) Stability aware spatial cut of metapopulations ecological networks. In: Ecological Complexity, 47 .
Kumar, Dinesh and Gupta, Jatin and Raha, Soumyendu (2019) Partitioning a reaction-diffusion ecological network for dynamic stability. In: PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 475 (2223).
Kumar, S and Mehta, K and Garg, S and Rasiwasia, N (2020) Improving answer selection and answer triggering using hard negatives. In: 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, 3-7 November 2019, Hong Kong; China, pp. 5911-5917.
Kumar, S and Rangarajan, A and Pal, D (2022) Somatic mutation analyses of stem-like cells in gingivobuccal oral squamous cell carcinoma reveals DNA damage response genes. In: Genomics, 114 (2).
Kumar, S and Sreenivasan, V and Talukdar, P and Pestilli, F and Sridharan, D (2019) ReAl-life: Accelerating the discovery of individualized brain connectomes on GPUs. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 27 January 2019through 1 February 2019, Honolulu, pp. 630-638.
Kumar, V (2021) Deep Neural Network Approach to Estimate Early Worst-Case Execution Time. In: IEEE Digital Avionics Systems Conference - Proceedings, 3 - 7 October 2021, San Antonio.
Kumar, V (2023) Estimation of an Early WCET Using Different Machine Learning Approaches. In: 17th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2022, held in conjunction with the 17th International Conference on Broadband Wireless Computing, Communication and Applications, BWCCA 2022, 27 - 29 October 2022, Tirana, pp. 297-307.
Kumar, V (2022) An integrated approach of Genetic Algorithm and Machine Learning for generation of Worst-Case Data for Real-Time Systems. In: 26th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2022, 26 - 28 September 2022, Ales, pp. 87-95.
Kumar, V and Lal, R and Patil, H and Chakraborty, A (2023) CoNMix for Source-free Single and Multi-target Domain Adaptation. In: 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, 3 - 7 January 2023, Waikoloa, pp. 4167-4177.
Kumar, V and Patil, H and Lal, R and Chakraborty, A (2023) Improving Domain Adaptation Through Class Aware Frequency Transformation. In: International Journal of Computer Vision .
Kumar, V and Sadekar, O and Basu, U (2020) Active Brownian motion in two dimensions under stochastic resetting. In: Physical Review E, 102 (5).
Kumar, V and Srivastava, S and Lal, R and Chakraborty, A (2021) CAFT: Class Aware Frequency Transform for Reducing Domain Gap. In: 18th IEEE/CVF International Conference on Computer Vision Workshops, 11-17 Oct 2021, pp. 2525-2534.
Kumar, V and Srivastava, S and Lal, R and Chakraborty, A (2021) CAFT: Class Aware Frequency Transform for Reducing Domain Gap. In: 18th IEEE/CVF International Conference on Computer Vision Workshops, 11-17 Oct 2021, Virtual, Online, pp. 2525-2534.
Kumar Nayak, G and Jain, S and Venkatesh Babu, R and Chakraborty, A (2020) Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. In: 6th IEEE International Conference on Multimedia Big Data, BigMM 2020, 24 - 26 September 2020, New Delhi, pp. 267-271.
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Prabhakar, K Ram and Srikar, V Sai and Babu, R Venkatesh (2017) DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. In: 16th IEEE International Conference on Computer Vision, ICCV 2017, 22 - 29 October 2017, Venice, pp. 4724-4732.
Prabhakar, KR and Agrawal, S and Singh, DK and Ashwath, B and Babu, RV (2020) Towards Practical and Efficient High-Resolution HDR Deghosting with CNN. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 497-513.
Prabhakar, KR and Arora, R and Swaminathan, A and Singh, KP and Babu, RV (2019) A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion. In: 2019 IEEE International Conference on Computational Photography, ICCP 2019, 15 May 2019 - 17 May 2019, Tokyo.
Prabhakar, KR and Ramaswamy, A and Bhambri, S and Gubbi, J and Babu, RV and Purushothaman, B (2020) CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. In: International Joint Conference on Neural Networks, IJCNN 2020;, 19 July 2020 through 24 July 2020, Virtual, Glasgow; United Kingdom.
Prabhakar, KR and Vinod, V and Sahoo, NR and Babu, RV (2021) Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. In: UNSPECIFIED.
Prabhu, SS and Suku, L and Babu, GLS (2019) Effect of Anisotropic Consolidation on Response of Aggregates Subjected to Repeated Loading. In: Indian Geotechnical Journal, 49 (3). pp. 328-340.
Pradhan, BR and Bethi, Y and Narayanan, S and Chakraborty, A and Thakur, CS (2019) N-HAR: A neuromorphic event-based human activity recognition system using memory surfaces. In: 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019, 26 - 29 May 2019, Sapporo.
Prakash, J and Agarwal, U and Yalavarthy, PK (2021) Multi GPU parallelization of maximum likelihood expectation maximization method for digital rock tomography data. In: Scientific Reports, 11 (1).
Prakash, J and Kalva, SK and Pramanik, M and Yalavarthy, PK (2021) Binary photoacoustic tomography for improved vasculature imaging. In: Journal of Biomedical Optics, 26 (8).
Prakash, Jaya and Sanny, Dween and Kalva, Sandeep Kumar and Pramanik, Manojit and Yalavarthy, Phaneendra K (2019) Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction. In: IEEE TRANSACTIONS ON MEDICAL IMAGING, 38 (8). pp. 1935-1947.
Prasanna, B and Sanyal, S and Babu, RV (2023) Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, 18 - 22 June 2023, Vancouver, BC, Canada, pp. 2457-2463.
Prashanthi, SK and Hegde, V and Patchava, K and Das, A and Simmhan, Y (2023) Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. In: 30th Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2023, 18 December 2023 through 21 December 2023, Goa, pp. 127-131.
Prashanthi, SK and Kesanapalli, SA and Simmhan, Y (2022) Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. In: Proceedings of the ACM on Measurement and Analysis of Computing Systems, 6 (3).
Purathekandy, A and Oommen, MA and Wikelski, M and Subramani, DN (2024) An agent-based model of elephant crop raid dynamics in the Periyar�Agasthyamalai complex, India. In: Ecological Modelling, 496 .
Qadri, O and Bashir, S and Banday, M and Hilal, N and Majeed, Y and Fatima, NI and Pal, D and Fazili, KM (2024) Tumour suppressor protein sMEK1 links to IRE1 signalling pathway to modulate its activity during ER stress. In: Biochimica et Biophysica Acta - Molecular Cell Research, 1871 (7).
Radhakrishnan, PP and Talukdar, PK and Varma, V (2018) ELDEN: Improved entity linking using densified knowledge graphs. In: 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1 Jun 6 2018, New Orleans, pp. 1844-1853.
Raghavan, SS and Iqbal, S and Ayyadurai, N and Gunasekaran, K (2022) Insights in the structural understanding of amyloidogenicity and mutation-led conformational dynamics of amyloid beta (Aβ) through molecular dynamics simulations and principal component analysis. In: Journal of Biomolecular Structure and Dynamics, 40 (12). pp. 5577-5587.
Rai, Durgesh K. and Gurusaran, Manickam and Urban, Volker and Aran, Kiana and Ma, Lulu and Li, Pingzuo and Qian, Shuo and Narayanan, Tharangattu N. and Ajayan, Pulickel M. and Liepmann, Dorian and Sekar, Kanagaraj and Alvarez-Cao, Maria-Efigenia and Escuder-Rodriguez, Juan-Jose and Cerdan, Maria-Esperanza and Gonzalez-Siso, Maria-Isabel and Viswanathan, Sowmya and Paulmurugan, Ramasamy and Renugopalakrishnan, Venkatesan (2019) Structural determination of Enzyme-Graphene Nanocomposite Sensor Material. In: SCIENTIFIC REPORTS, 9 .
Raj, R and Walker, JP and Vinod, V and Pingale, R and Naik, B and Jagarlapudi, A (2021) Leaf water content estimation using top-of-canopy airborne hyperspectral data. In: International Journal of Applied Earth Observation and Geoinformation, 102 .
Raj, S and Padhi, S and Simmhan, Y (2023) Ocularone: Exploring Drones-based Assistive Technologies for the Visually Impaired. In: 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, 23-28 April 2023, Hamburg.
Raja, Sreekanth and Babu, Venkatesh R (2013) A NEAR OPTIMAL PROJECTION FOR SPARSE REPRESENTATION BASED CLASSIFICATION. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), MAY 26-31, 2013, Vancouver, CANADA, pp. 2089-2093.
Rajak, AM and Subramani, D (2024) Comparison of Convolutional Autoencoder Architectures for Representation Learning of MODIS Aqua and Terra Observations. In: 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, 7 July 2024through 12 July 2024, Athens, pp. 7576-7579.
Rajalingam, A and Sekar, K and Ganjiwale, A (2023) Identification of Potential Genes and Critical Pathways in Postoperative Recurrence of Crohn�s Disease by Machine Learning And WGCNA Network Analysis. In: Current Genomics, 24 (2). pp. 84-99.
Rajput, J and Chandra, G and Jain, C (2023) Co-Linear Chaining on Pangenome Graphs. In: 23rd International Workshop on Algorithms in Bioinformatics, WABI 2023, 4-6 September 2023, Bangalore, India.
Rajput, J and Chandra, G and Jain, C (2024) Co-linear chaining on pangenome graphs. In: Algorithms for Molecular Biology, 19 (1).
Rakesh, M and Kundu, JN and Jampani, V and Babu, RV (2021) Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. In: 35th Conference on Neural Information Processing Systems, NeurIPS 2021, 6 - 14 December 2021, Virtual, Online, pp. 4582-4593.
Ramakrishnan, K and Nori, SKK and Lee, S-C and Das, GP and Bhattacharjee, S and Motamarri, P (2023) Chemical Bonding in Large Systems Using Projected Population Analysis from Real-Space Density Functional Theory Calculations. In: Journal of Chemical Theory and Computation, 19 (13). pp. 4216-4231.
Ramesh, S and Baranawal, A and Simmhan, Y (2020) A Distributed Path Query Engine for Temporal Property Graphs. In: 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020, 11-14, May 2020, Australia, pp. 499-508.
Ramesh, S and Baranawal, A and Simmhan, Y (2021) Granite: A distributed engine for scalable path queries over temporal property graphs. In: Journal of Parallel and Distributed Computing, 151 . pp. 94-111.
Ramesh, Srinivasan and Vadhiyar, Sathish and Nanjundiah, Ravi and Vinayachandran, PN (2018) Deep and Shallow convections in Atmosphere Models on Intel (R) Xeon Phi (TM) Coprocessor Systems. In: 13th International Manufacturing Science and Engineering Conference, 18-20 Dec. 2017, Bangkok, Thailand, pp. 316-323.
Ramoji, S and Mohan, A and Mysore, B and Bhatia, A and Singh, P and Vardhan, H and Ganapathy, S (2019) The Leap Speaker Recognition System for NIST SRE 2018 Challenge. In: 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12 May 2019-17 May 2019, Brighton, pp. 5771-5775.
Rangachari, K and Bankoti, Namrata and Shyamala, N and Michael, Daliah and Ahmed, Z Sameer and Chandrasekaran, P and Sekar, K (2019) Glaucoma Pred: Glaucoma prediction based on Myocilin genotype and phenotype information. In: GENOMICS, 111 (4). pp. 696-699.
Rangwani, H and Aithal, SK and Mishra, M and Venkatesh Babu, R (2022) Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. In: 36th Conference on Neural Information Processing Systems, NeurIPS 2022, 28 - 9 December 2022, New Orleans.
Rangwani, H and Jaswani, N and Karmali, T and Jampani, V and Babu, RV (2022) Improving GANs for Long-Tailed Data Through Group Spectral Regularization. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 426-442.
Rangwani, H and Mopuri, KR and Babu, RV (2021) Class Balancing GAN with a Classifier in the Loop. In: 37th Conference on Uncertainty in Artificial Intelligence, UAI 2021, 27 - 30 July 2021, pp. 1618-1627.
Ranjan, E and Sanyal, S and Talukdar, P (2020) ASAP: Adaptive structure aware pooling for learning hierarchical graph representations. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7 - 12 February 2020, New York, pp. 5470-5477.
Rastogi, A and Dutta, A and Yalavarthy, PK (2022) VTDCE-Net: A time invariant deep neural network for direct estimation of pharmacokinetic parameters from undersampled DCE MRI data. In: Medical Physics .
Rastogi, A and Yalavarthy, PK (2020) Comparison of iterative parametric and indirect deep learning-based reconstruction methods in highly undersampled DCE-MR Imaging of the breast. In: Medical Physics .
Rastogi, A and Yalavarthy, PK (2021) SpiNet: A deep neural network for Schatten p-norm regularized medical image reconstruction. In: Medical Physics .
Ravibabu, M and Singh, A (2020) The Least squares and line search in extracting eigenpairs in Jacobi–Davidson method. In: BIT Numerical Mathematics, 60 (4). pp. 1033-1055.
Ravindra, Pushkara and Khochare, Aakash and Reddy, Siva Prakash and Sharma, Sarthak and Varshney, Prateeksha and Simmhan, Yogesh (2017) ECHO: An adaptive orchestration platform for hybrid dataflows across cloud and edge. In: 15th International Conference on Service-Oriented Computing, ICSOC 2017, 13 November 2017 through 16 November 2017, Malaga, pp. 395-410.
Ray, SN and Dasgupta, SS and Talukdar, P (2018) Ad3: Attentive deep document dater. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 31st October- 4th November 2018, Brussels, Belgium, pp. 1871-1880.
Raychaudhury, C and Pal, D (2020) Usefulness of graph vertex complexity and class partial information content in explaining gas phase thermal entropy of chemical compounds. In: Journal of Mathematical Chemistry, 58 (5). pp. 887-892.
Raychaudhury, C and Rizvi, I H and Pal, D (2019) Predicting gas phase entropy of select hydrocarbon classes through specific information-theoretical molecular descriptors. In: SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 30 (7). pp. 491-505.
Raychaudhury, C and Srinivasan, S and Pal, D (2023) Identification of potential oral cancer drugs as Bcl-2 inhibitors from known anti-neoplastic agents through docking studies. In: Journal of Mathematical Chemistry .
Raychaudhury, Chandan and Rizvi, Md Imbesat Hassan and Pal, Debnath (2019) Combinatorial Design of Molecule using Activity-Linked Substructural Topological Information as Applied to Antitubercular Compounds. In: CURRENT COMPUTER-AIDED DRUG DESIGN, 15 (1). pp. 67-81.
Reddy, Kasireddy V and Mitra, Abhishek and Yalavarthy, Phaneendra K (2017) Fast Analytical Spectral Filtering Methods for Magnetic Resonance Perfusion Quantification. In: 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), AUG 16-20, 2016, Orlando, FL, pp. 1224-1227.
Reddy, MHL and Ganesan, S (2019) Thirty-five moment theory for dilute smooth hard sphere gases. In: 31st International Symposium on Rarefied Gas Dynamics, RGD 2018, 23 - 27 July 2018, Glasgow.
Reja, S and Ghosh, S and Ghosh, I and Paul, A and Bhattacharya, S (2022) Investigation and control strategy for canine distemper disease on endangered wild dog species: a model-based approach. In: SN Applied Sciences, 4 (6).
Renga Bashyam, KG and Vadhiyar, S (2020) Fast Scalable Approximate Nearest Neighbor Search for High-dimensional Data. In: 22nd IEEE International Conference on Cluster Computing, CLUSTER 2020, 14-17 September 2020, Kobe; Japan, pp. 294-302.
Rishi, J and Gafoor, A and Kumar, S and Subramani, D (2024) On the Training Efficiency of Shallow Architectures for Physics Informed Neural Networks. In: 24th International Conference on Computational Science, ICCS 2024, 2 July 2024 through 4 July 2024, Malaga, pp. 363-377.
Rizvi, MIH and Raychaudhury, C and Pal, D (2019) Combinatorial Drug Discovery from Activity-Related Substructure Identification. [Book Chapter]
Rodhiya, A and Gruber, A and Bothien, MR and Chen, JH and Aditya, K (2024) Spontaneous ignition and flame propagation in hydrogen/methane wrinkled laminar flames at reheat conditions: Effect of pressure and hydrogen fraction. In: Combustion and Flame, 269 .
Rodriguez-R, LM and Jain, C and Conrad, RE and Aluru, S and Konstantinidis, KT (2021) Reply to: �Re-evaluating the evidence for a universal genetic boundary among microbial species�. In: Nature Communications, 12 (1).
Rodriguez-R, LM and Jain, C and Conrad, RE and Aluru, S and Konstantinidis, KT (2021) Reply to: “Re-evaluating the evidence for a universal genetic boundary among microbial species”. In: Nature Communications, 12 (1).
Safiriyu, AA and Mulchandani, V and Anakkacheri, MN and Pal, D and Das Sarma, J (2023) Proline-Proline Dyad in the Fusion Peptide of the Murine β-Coronavirus Spike Protein's S2 Domain Modulates Its Neuroglial Tropism. In: Viruses, 15 (1).
Safiriyu, AA and Singh, M and Kishore, A and Mulchandani, V and Maity, D and Behera, A and Sinha, B and Pal, D and Das Sarma, J (2022) Two Consecutive Prolines in the Fusion Peptide of Murine β-Coronavirus Spike Protein Predominantly Determine Fusogenicity and May Be Essential but Not Sufficient to Cause Demyelination. In: Viruses, 14 (4).
Saha, A and Sarkar, I (2023) Highly Accurate Protein Structure Classification and Prediction. In: 2nd International Conference on Computational Systems and Communication, ICCSC 2023, 3- 4 March 2023, Thiruvananthapuram.
Saha, M and Deshpande, N and Dubey, A and Pal, D and Atreya, HS and Rangarajan, A (2021) Sustained AMPK Activation and Proline Metabolism Play Critical Roles in the Survival of Matrix-Deprived Transformed Cells. In: Frontiers in Cell and Developmental Biology, 9 .
Sahadevan, AS and Ahmad, T and Lyngdoh, RB and Kumar, DN (2023) Endmember variability based abundance estimation of red and black soil over sparsely vegetated area using AVIRIS-NG hyperspectral image. In: Advances in Space Research .
Sahoo, JK and Boggarapu, P and Behera, R and Nashed, MZ (2023) GD1 inverse and 1GD inverse for bounded operators on Banach spaces. In: Computational and Applied Mathematics, 42 (5).
Sahu, PK and Patel, KS and Behera, R (2023) Three-Time Levels Compact Scheme for Pricing European Options Under Regime Switching Jump-Diffusion Models. In: International Conference on Mathematics and Computing (ICMC 2023), 6-8 January 2023, Goa, pp. 367-378.
Sahu, R and Nagal, A and Dixit, KK and Unnibhavi, H and Mantravadi, S and Nair, S and Simmhan, Y and Mishra, B and Zele, R and Sutaria, R and Motghare, VM and Kar, P and Tripathi, SN (2021) Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors to quantify real-time O3 and NO2 concentrations in diverse environments. In: Atmospheric Measurement Techniques, 14 (1). pp. 37-52.
Saichand, C and Alageshan, JK and Roy, A and Hatwalne, Y (2020) Stability of topological wall defects on spheres with n-atic order. In: Physical Review Research, 2 (2).
Sailapathi, A and Murugan, G and Somarathinam, K and Gunalan, S and Jagadeesan, R and Yoosuf, N and Kanagaraj, S and Kothandan, G (2020) Proposing the Promiscuous Protein Structures in JNK1 and JNK3 for Virtual Screening in Pursuit of Potential Leads. In: ACS Omega, 5 (8). pp. 3969-3978.
Sailor, HB and Patil, HA and Rajpal, A (2018) Unsupervised Filterbank Learning for Speech-based Access System for Agricultural Commodity. In: 9th International Conference on Advances in Pattern Recognition, ICAPR 2017, 27 - 30 December 2017, Bangalore, pp. 210-215.
Sajini Anand, PS and Bhat, VH and Ramesh, S (2019) Optimal Cost Truck Triangulation in a Dynamic Intermodal Freight Transportation Supply Chain. In: 2019 Fifteenth International Conference on Information Processing (ICINPRO), 20-22 Dec. 2019, Bengaluru, India, India.
Sam, DB and Agarwalla, A and Radhakrishnan, VB (2022) Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. In: 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 22 February - 1 March 2022, Virtual, Online, pp. 2162-2170.
Sam, DB and Peri, SV and Sundararaman, MN and Kamath, A and Babu, RV (2021) Locate, size, and count: Accurately resolving people in dense crowds via detection. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (8). pp. 2739-2751.
Sam, DB and Vishwanath Peri, S and Mukuntha, NS and Venkatesh Babu, R (2020) Going beyond the regression paradigm with accurate dot prediction for dense crowds. In: 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020, 1-5 March 2020, Snowmass Village; United States, pp. 2853-2861.
Sam, Deepak Babu and Sajjan, Neeraj N and Babu, R Venkatesh and Srinivasan, Mukundhan (2018) Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN. In: 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), JUN 18-23, 2018, Salt Lake City, UT, pp. 3618-3626.
Sammeturi, Manjunatha and Shaik, Althaf Hussain and Bongu, Sasi Bhusana Rao and Cheemanapalli, Srinivasulu and Mohammad, Altaf and Kodidhela, Lakshmi Devi (2019) Protective effects of syringic acid, resveratrol and their combination against isoprenaline administered cardiotoxicity in wistar rats. In: SAUDI JOURNAL OF BIOLOGICAL SCIENCES, 26 (7). pp. 1429-1435.
Sanghi, A and Santhanam, R and Haritsa, JR (2021) Towards Generating HiFi Databases. In: 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, 11-14 Apr 2021, Taipei, pp. 105-112.
Sanny, Dween Rabius and Prakash, Jaya and Kalva, Sandeep Kumar and Pramanik, Manojit and Yalavarthy, Phaneendra K (2018) Spatially variant regularization based on model resolution and fidelity embedding characteristics improves photoacoustic tomography. In: JOURNAL OF BIOMEDICAL OPTICS, 23 (10).
Santhosh, R and Bankoti, N and Gurudarshan, M and Jeyakanthan, J and Sekar, K (2020) IMRPS: Inserted and Modified Residues in Protein Structures. A database. In: Journal of Applied Crystallography, 53 . pp. 569-573.
Santhosh, R and Chandrasekaran, P and Michael, Daliah and Rangachari, K and Bankoti, Namrata and Jeyakanthan, J and Sekar, K (2019) ACMS: a database of alternate conformations found in the atoms of main and side chains of protein structures. In: JOURNAL OF APPLIED CRYSTALLOGRAPHY, 52 (4). pp. 910-913.
Santra, S (2024) Analysis of a higher-order scheme for multi-term time-fractional integro-partial differential equations with multi-term weakly singular kernels. In: Numerical Algorithms .
Santra, S and Behera, R (2025) Simultaneous space�time Hermite wavelet method for time-fractional nonlinear weakly singular integro-partial differential equations. In: Communications in Nonlinear Science and Numerical Simulation, 140 .
Santra, S and Mohapatra, J and Das, P and Choudhuri, D (2023) Higher order approximations for fractional order integro-parabolic partial differential equations on an adaptive mesh with error analysis. In: Computers and Mathematics with Applications, 150 . pp. 87-101.
Sarkar, L and Oko, L and Gupta, S and Bubak, AN and Das, B and Gupta, P and Safiriyu, AA and Singhal, C and Neogi, U and Bloom, D and Banerjee, A and Mahalingam, R and Cohrs, RJ and Koval, M and Shindler, KS and Pal, D and Nagel, M and Sarma, JD (2022) Azadirachta indica A. Juss bark extract and its Nimbin isomers restrict β-coronaviral infection and replication. In: Virology, 569 . pp. 13-28.
Sarvadevabhatla, RK and Surya, S and Mittal, T and Venkatesh Babu, R (2018) Game of sketches: Deep recurrent models of pictionary-style word guessing. In: 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, 2 - 7 February 2018, New Orleans, pp. 7331-7338.
Sarvadevabhatla, Ravi Kiran and Babu, Venkatesh R (2016) Analyzing Structural Characteristics of Object Category Representations From Their Semantic-part Distributions. In: 24th ACM Multimedia Conference (MM), OCT 15-19, 2016, Amsterdam, NETHERLANDS, pp. 92-96.
Sarvadevabhatla, Ravi Kiran and Dwivedi, Isht and Biswas, Abhijat and Manocha, Sahil and Venkatesh Babu, R (2017) SketchParse: Towards rich descriptions for poorly drawn sketches using multi-task hierarchical deep networks. In: 25th ACM International Conference on Multimedia, MM 2017, 23 - 27 October 2017, Mountain View, pp. 10-18.
Sarvadevabhatla, Ravi Kiran and Suresh, Sudharshan and Babu, RV (2017) Object Category Understanding via Eye Fixations on Freehand Sketches. In: IEEE TRANSACTIONS ON IMAGE PROCESSING, 26 (5). pp. 2508-2518.
Sarvadevabhatla, Ravi Kiran and Surya, Shiv and Mittal, Trisha and Babu, R Venkatesh (2020) Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 42 (1). pp. 221-231.
Sarvadevabhatla, Ravi Kiran and Venkatraman, Shanthakumar and Venkatesh Babu, R (2017) ‘Part’ly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems. In: 13th Asian Conference on Computer Vision, ACCV 2016, November 20-24, 2016, Taipei, Taiwan, pp. 181-197.
Savojardo, Castrense and Petrosino, Maria and Babbi, Giulia and Bovo, Samuele and Corbi-Verge, Caries and Casadio, Rita and Fariselli, Piero and Folkman, Lukas and Garg, Aditi and Karimi, Mostafa and Katsonis, Panagiotis and Kim, Philip M and Lichtarge, Olivier and Martelli, Pier Luigi and Pasquo, Alessandra and Pal, Debnath and Shen, Yang and Strokach, Alexey and Turin, Paola and Zhou, Yaoqi and Andreoletti, Gaia and Brenner, Steven E and Chiaraluce, Roberta and Consalvi, Valerio and Capriotti, Emidio (2019) Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge. In: HUMAN MUTATION, 40 (9, SI). pp. 1392-1399.
Sawant, Y and Kundu, JN and Radhakrishnan, VB and Sridharan, D (2022) A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection. In: Journal of Neuroscience, 42 (44). pp. 8262-8283.
Saxena, A and Chakrabarti, S and Talukdar, P (2021) Question answering over temporal knowledge graphs. In: Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, 1 August - 6 August 2021, Virtual, Online, pp. 6663-6676.
Scaria, N and Dharani Chenna, S and Subramani, D (2024) Automated Educational Question Generation at Different Bloom�s Skill Levels Using Large Language Models: Strategies and Evaluation. In: 25th International Conference on Artificial Intelligence in Education, AIED 2024, 8 July 2024through 12 July 2024, Recife, Brazil., pp. 165-179.
Sen, K and Vadhiyar, S and Vinayachandran, PN (2023) Strategies for Fast I/O Throughput in Large-Scale Climate Modeling Applications. In: 30th Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2023, Proceedings - 2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics, HiPC 2023, Goa, pp. 203-212.
Seshan, G and Kanagasabai, S and Ananthasri, S and Kannappan, B and Suvitha, A and Jaimohan, S M and Kanagaraj, S and Kothandan, G (2020) Insights of structure-based pharmacophore studies and inhibitor design against Gal3 receptor through molecular dynamics simulations. In: Journal of Biomolecular Structure and Dynamics .
Sharma, A and Parekh, Z and Talukdar, P (2017) Speeding up reinforcement learning-based information extraction training using asynchronous methods. In: 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, 9 - 11 September 2017, Copenhagen, pp. 2658-2663.
Shaw, Calvin B and Li, Zhiqiu and Pogue, Brian W and Yalavarthy, Phaneendra K (2016) Direct Sensitivity Based Data-Optimization Strategy for Image-Guided Diffuse Optical Tomography. In: IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 22 (3).
Shravan, SK and Lakshmi, J and Bisht, Neeraj (2018) Towards Improving Data Center Utilisation by Reducing Fragmentation. In: 11th IEEE International Conference on Cloud Computing (CLOUD) Part of the IEEE World Congress on Services, JUL 02-07, 2018, San Francisco, CA, pp. 941-945.
Shreemali, U and Chakraborty, A (2020) Robust gait based human identification on incomplete and multi-view sequences. In: Multimedia Tools and Applications .
Shukla, Anshu and Simmhan, Yogesh (2017) Benchmarking Distributed Stream Processing Platforms for IoT Applications. In: PERFORMANCE EVALUATION AND BENCHMARKING: TRADITIONAL - BIG DATA - INTERNET OF THINGS, TPCTC 2016, SEP 05-09, 2016, New Delhi, INDIA, pp. 90-106.
Siddalingappa, R and Kanagaraj, S (2021) Anomaly Detection on Medical Images using Autoencoder and Convolutional Neural Network. In: International Journal of Advanced Computer Science and Applications, 12 (7). pp. 148-156.
Siddalingappa, R and Kanagaraj, S (2023) A Novel ML Approach for Computing Missing Sift, Provean, and Mutassessor Scores in Tp53 Mutation Pathogenicity Prediction. In: International Journal of Advanced Computer Science and Applications, 14 (6). pp. 1038-1047.
Siddalingappa, R and Sekar, K (2022) Bi-directional long short term memory using recurrent neural network for biological entity recognition. In: IAES International Journal of Artificial Intelligence, 11 (1). pp. 89-101.
Simha, A and Raha, S (2019) A Riemannian geometric approach to output tracking for nonholonomic systems. In: 11th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2019, 4-6 September 2019, Vienna; Austria, pp. 144-149.
Simmhan, Y and Khochare, A and Ramachandra, SK (2020) Computing and storage models for edge computing. [Book Chapter]
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