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Pagadala, KM and Rathore, P (2024) HaVAT: Automatic Cluster Structure Assessment in Unlabeled data. In: UNSPECIFIED, pp. 45-53.
Mazumder, A and Baruah, T and Kumar, B and Sharma, R and Pattanaik, V and Rathore, P (2024) Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights. In: UNSPECIFIED, pp. 2839-2848.
Kanthuru, VA and Rajasegarar, S and Rathore, P and Doss, RRM and Pan, L and Ray, B and Chowdhury, M and Srimathi, C and Durai, MAS (2022) Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 28 - 30 November 2022, Brisbane, pp. 118-130.
Milardo, S and Rathore, P and Santi, P and Ratti, C (2022) A Data-Driven Framework for Driving Style Classification. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 28 - 30 November 2022, Brisbane, pp. 253-265.
Sai, NJ and Rathore, P and Sridharan, K and Chauhan, A (2023) Machine learning-based predictions of yield strength for neutron-irradiated ferritic/martensitic steels. In: Fusion Engineering and Design, 195 .
Sai, NJ and Rathore, P and Chauhan, A (2023) Machine learning-based predictions of fatigue life for multi-principal element alloys. In: Scripta Materialia, 226 .
