A Clustering Particle Based Artificial Bee Colony Algorithm for Dynamic Environment. - Subhodip Biswas; Digbalay Bose; Souvik Kundu 001 (SEMCCO, 2012)

Cooperative Co-evolutionary Teaching-Learning Based Algorithm with a Modified Exploration Strategy for Large Scale Global Optimization. - Subhodip Biswas; Souvik Kundu 001; Digbalay Bose; Swagatam Das (SEMCCO, 2012)

A Strategy Pool Adaptive Artificial Bee Colony Algorithm for Dynamic Environment through Multi-population Approach. - Digbalay Bose; Subhodip Biswas; Souvik Kundu 001; Swagatam Das (SEMCCO, 2012)

Circular Antenna Array Design Using Novel Perturbation Based Artificial Bee Colony Algorithm. - Digbalay Bose; Souvik Kundu 001; Subhodip Biswas; Swagatam Das (SEMCCO, 2012)

Differential Evolution with a Relational Neighbourhood-Based Strategy for Numerical Optimization. - Souvik Kundu 001; Digbalay Bose; Subhodip Biswas (SEMCCO, 2012)

A Selective Teaching-Learning Based Niching Technique with Local Diversification Strategy. - Souvik Kundu 001; Subhodip Biswas; Swagatam Das; Digbalay Bose (SEMCCO, 2012)

Synchronizing Differential Evolution with a modified affinity-based mutation framework. - Subhodip Biswas; Souvik Kundu 001; Digbalay Bose; Swagatam Das; Ponnuthurai Nagaratnam Suganthan (SDE, 2013)

Migrating forager population in a multi-population Artificial Bee Colony algorithm with modified perturbation schemes. - Subhodip Biswas; Souvik Kundu 001; Digbalay Bose; Swagatam Das; Ponnuthurai N. Suganthan; Bijaya K. Panigrahi (SIS, 2013)

Clustering using Vector Membership: An Extension of the Fuzzy C-Means Algorithm. - Srinjoy Ganguly; Digbalay Bose; Amit Konar (CoRR, 2013)

Optimal filter design using an improved artificial bee colony algorithm. - Digbalay Bose; Subhodip Biswas; Athanasios V. Vasilakos; Sougata Laha (Inf. Sci., 2014)

Hierarchical spectral clustering based large margin classification of visually correlated categories. - Digbalay Bose; Subhasis Chaudhuri (ICVGIP, 2016)

Robust resource demand estimation using hierarchical Bayesian model in a distributed service system. - Sumanta Mukherjee; Krishnasuri Narayanam; Nupur Aggarwal; Digbalay Bose; Amith Singhee (COMAD/CODS, 2021)

Cross Domain Emotion Recognition using Few Shot Knowledge Transfer. - Justin Olah; Sabyasachee Baruah; Digbalay Bose; Shrikanth Narayanan (CoRR, 2021)

Understanding of Emotion Perception from Art. - Digbalay Bose; Krishna Somandepalli; Souvik Kundu 001; Rimita Lahiri; Jonathan Gratch; Shrikanth Narayanan (CoRR, 2021)

Multimodal Estimation of Change Points of Physiological Arousal in Drivers. - Kleanthis Avramidis; Tiantian Feng; Digbalay Bose; Shrikanth Narayanan (CoRR, 2022)

Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. - Mohammad Rostami; Digbalay Bose; Shrikanth Narayanan; Aram Galstyan (EMNLP (Findings), 2023)

Signal Processing Grand Challenge 2023 - E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients. - Kleanthis Avramidis; Kranti Adsul; Digbalay Bose; Shrikanth Narayanan (ICASSP, 2023)

Multimodal Estimation Of Change Points Of Physiological Arousal During Driving. - Kleanthis Avramidis; Tiantian Feng; Digbalay Bose; Shrikanth Narayanan (ICASSP Workshops, 2023)

Contextually-Rich Human Affect Perception Using Multimodal Scene Information. - Digbalay Bose; Rajat Hebbar; Krishna Somandepalli; Shrikanth Narayanan (ICASSP, 2023)

A Dataset for Audio-Visual Sound Event Detection in Movies. - Rajat Hebbar; Digbalay Bose; Krishna Somandepalli; Veena Vijai; Shrikanth Narayanan (ICASSP, 2023)

FedMultimodal: A Benchmark for Multimodal Federated Learning. - Tiantian Feng; Digbalay Bose; Tuo Zhang; Rajat Hebbar; Anil Ramakrishna; Rahul Gupta 001; Mi Zhang 002; Salman Avestimehr; Shrikanth Narayanan (KDD, 2023)

MM-AU: Towards Multimodal Understanding of Advertisement Videos. - Digbalay Bose; Rajat Hebbar; Tiantian Feng; Krishna Somandepalli; Anfeng Xu; Shrikanth Narayanan (ACM Multimedia, 2023)

SEAR: Semantically-grounded Audio Representations. - Rajat Hebbar; Digbalay Bose; Shrikanth Narayanan (ACM Multimedia, 2023)

MovieCLIP: Visual Scene Recognition in Movies. - Digbalay Bose; Rajat Hebbar; Krishna Somandepalli; Haoyang Zhang; Yin Cui; Kree Cole-McLaughlin; Huisheng Wang; Shrikanth Narayanan (WACV, 2023)

Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content. - Tiantian Feng; Digbalay Bose; Xuan Shi; Shrikanth Narayanan (CoRR, 2023)

Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization. - Yoonsoo Nam; Adam Lehavi; Daniel Yang; Digbalay Bose; Swabha Swayamdipta; Shrikanth Narayanan (ICASSP, 2024)

Can Text-to-image Model Assist Multi-modal Learning for Visual Recognition with Visual Modality Missing? - Tiantian Feng; Daniel Yang; Digbalay Bose; Shrikanth Narayanan (ICMI, 2024)

Towards Child-Inclusive Clinical Video Understanding for Autism Spectrum Disorder. - Aditya Kommineni; Digbalay Bose; Tiantian Feng; So Hyun Kim; Helen Tager-Flusberg; Somer Bishop; Catherine Lord; Sudarsana Kadiri; Shrikanth Narayanan (CoRR, 2024)