Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis. - Soma Bandyopadhyay; Anish Datta; Arpan Pal 001 (CoRR, 2021)

Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training. - Soma Bandyopadhyay; Anish Datta; Arpan Pal 001 (CoRR, 2021)

Unsupervised Feature Recommendation using Representation Learning. - Anish Datta; Soma Bandyopadhyay; Shruti Sachan; Arpan Pal 001 (EUSIPCO, 2022)

Intelligent Continuous Monitoring to Handle Data Distributional Changes for IoT Systems. - Soma Bandyopadhyay; Anish Datta; Arpan Pal 001; Srinivas Raghu Raman Gadepally (SenSys, 2022)

Unsupervised Driving Behavior Analysis using Representation Learning and Exploiting Group-based Training. - Soma Bandyopadhyay; Anish Datta; Shruti Sachan; Arpan Pal 001 (CoRR, 2022)

Physics Guided Generative Learning for Domain Adaptable Data Synthesis : Progressive Fault Synthesization for Predictive Machine Maintenance. - Soma Bandyopadhyay; Anish Datta; Mudassir Ali Sayyed; Tapas Chakravarty; Arpan Pal 001; Chirabrata Bhaumik (AIMLSystems, 2023)

Emotion Pattern Recognition of Speech Signals Using Representation Learning with Limited Annotations. - Anish Datta; Soma Bandyopadhyay; Gauri Deshpande; Ramesh K. Ramakrishnan; Arpan Pal 001 (ICPR (Workshops and Challenges, 1), 2024)

Generalizable Journey Mode Detection Using Unsupervised Representation Learning. - Soma Bandyopadhyay; Anish Datta; Ramesh Kumar Ramakrishnan; Arpan Pal 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Generative Model based Optical Response Prediction for Plasmonic Sensing. - Anish Datta; Soma Bandyopadhyay; Subhasri Chatterjee; Tapas Chakravarty; Arpan Pal 001 (ICASSP, 2025)