Document Frauds: Identification and Linking Fake Document to Scanners and Printers. - Gaurav Gupta; Sanjoy Kumar Saha 001; Shayok Chakraborty; Chandan Mazumdar (ICCTA, 2007)

Multiple cue integration in transductive confidence machines for head pose classification. - Vineeth N. Balasubramanian; Sethuraman Panchanathan; Shayok Chakraborty (CVPR Workshops, 2008)

Generalized Query by Transduction for online active learning. - Vineeth Balasubramanian; Shayok Chakraborty; Sethuraman Panchanathan (ICCV Workshops, 2009)

Learning from summaries of videos: Applying batch mode active learning to face-based biometrics. - Shayok Chakraborty; Vineeth N. Balasubramanian; Sethuraman Panchanathan (CVPR Workshops, 2010)

Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework. - Vineeth Nallure Balasubramanian; Shayok Chakraborty; Sethuraman Panchanathan; Jieping Ye (ICMLA, 2010)

Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics. - Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (ICMLA, 2010)

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. - Sébastien Marcel; Chris McCool; Pavel Matejka; Timo Ahonen; Jan Cernocký; Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan; Chi-Ho Chan; Josef Kittler; Norman Poh; Benoit G. B. Fauve; et al. (ICPR Contests, 2010)

Dynamic Batch Mode Active Learning via L1 Regularization. - Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (AAAI, 2011)

Dynamic batch mode active learning. - Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (CVPR, 2011)

Active Batch Selection for Fuzzy Classification in Facial Expression Recognition. - Shayok Chakraborty; Hemanth Venkateswara; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (ICMLA (1), 2011)

Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models. - Rita Chattopadhyay; Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (ICMLA (1), 2011)

Optimal batch selection for active learning in multi-label classification. - Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (ACM Multimedia, 2011)

Batch Mode Active Learning for Multimedia Pattern Recognition. - Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (ISM, 2012)

Active Matrix Completion. - Shayok Chakraborty; Jiayu Zhou; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan; Ian Davidson; Jieping Ye (ICDM, 2013)

PyCP: An Open-Source Conformal Predictions Toolkit. - Vineeth Nallure Balasubramanian; Aaron Baker; Matthew Yanez; Shayok Chakraborty; Sethuraman Panchanathan (AIAI, 2013)

Generalized batch mode active learning for face-based biometric recognition. - Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (Pattern Recognit., 2013)

Batch Mode Active Learning for Multimedia Pattern Recognition. - Shayok Chakraborty (2013)

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. - Shayok Chakraborty; Vineeth Nallure Balasubramanian; Adepu Ravi Sankar; Sethuraman Panchanathan; Jieping Ye (KDD, 2015)

Towards Distributed Video Summarization. - Shayok Chakraborty; Omesh Tickoo; Ravishankar R. Iyer 001 (ACM Multimedia, 2015)

Adaptive Keyframe Selection for Video Summarization. - Shayok Chakraborty; Omesh Tickoo; Ravi Iyer 001 (WACV, 2015)

Conformal predictions for information fusion - A comparative study of p-value combination methods. - Vineeth Nallure Balasubramanian; Shayok Chakraborty; Sethuraman Panchanathan (Ann. Math. Artif. Intell., 2015)

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds. - Shayok Chakraborty; Vineeth Nallure Balasubramanian; Qian Sun 002; Sethuraman Panchanathan; Jieping Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Adaptive Batch Mode Active Learning. - Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (IEEE Trans. Neural Networks Learn. Syst., 2015)

Transfer of multimodal emotion features in deep belief networks. - Hiranmayi Ranganathan; Shayok Chakraborty; Sethuraman Panchanathan (ACSSC, 2016)

Nonlinear Embedding Transform for Unsupervised Domain Adaptation. - Hemanth Venkateswara; Shayok Chakraborty; Sethuraman Panchanathan (ECCV Workshops (3), 2016)

Smart Stadium for Smarter Living: Enriching the Fan Experience. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel; Matt Bunch; Noel E. O'Connor; Suzanne Little; Kevin McGuinness; Mark Marsden (ISM, 2016)

Multimodal emotion recognition using deep learning architectures. - Hiranmayi Ranganathan; Shayok Chakraborty; Sethuraman Panchanathan (WACV, 2016)

Person-Centered Multimedia Computing: A New Paradigm Inspired by Assistive and Rehabilitative Applications. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel; Ramin Tadayon (IEEE Multim., 2016)

Social Interaction Assistant: A Person-Centered Approach to Enrich Social Interactions for Individuals With Visual Impairments. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel (IEEE J. Sel. Top. Signal Process., 2016)

Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. - Hemanth Venkateswara; Shayok Chakraborty; Troy McDaniel; Sethuraman Panchanathan (AAAI Workshops, 2017)

Deep Hashing Network for Unsupervised Domain Adaptation. - Hemanth Venkateswara; Jose Eusebio; Shayok Chakraborty; Sethuraman Panchanathan (CVPR, 2017)

Deep active learning for image classification. - Hiranmayi Ranganathan; Hemanth Venkateswara; Shayok Chakraborty; Sethuraman Panchanathan (ICIP, 2017)

Hierarchical learning for automated malware classification. - Shayok Chakraborty; Jack W. Stokes; Lin Xiao; Dengyong Zhou; Mady Marinescu; Anil Thomas (MILCOM, 2017)

Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel; Ramin Tadayon; Bijan Fakhri; Noel E. O'Connor; Mark Marsden; Suzanne Little; Kevin McGuinness; David S. Monaghan (Int. J. Semantic Comput., 2017)

Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations. - Hemanth Venkateswara; Shayok Chakraborty; Sethuraman Panchanathan (IEEE Signal Process. Mag., 2017)

Multi-Label Deep Active Learning with Label Correlation. - Hiranmayi Ranganathan; Hemanth Venkateswara; Shayok Chakraborty; Sethuraman Panchanathan (ICIP, 2018)

Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease. - Vishwas G. Torvi; Aditya R. Bhattacharya; Shayok Chakraborty (ICMLA, 2018)

Distributed Active Learning for Image Recognition. - Shayok Chakraborty (WACV, 2018)

A Generic Active Learning Framework for Class Imbalance Applications. - Aditya R. Bhattacharya; Ji Liu 002; Shayok Chakraborty (BMVC, 2019)

Deepsub: A Novel Subset Selection Framework for Training Deep Learning Architectures. - Subhankar Banerjee; Shayok Chakraborty (ICIP, 2019)

When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach. - Michael Woodham; Jason Hawkins; Ankita Singh; Shayok Chakraborty (ICMLA, 2019)

Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery. - Chris Mills; Javier Escobar-Avila; Aditya R. Bhattacharya; Grigoriy Kondyukov; Shayok Chakraborty; Sonia Haiduc (ICSME, 2019)

Active Learning with n-ary Queries for Image Recognition. - Aditya R. Bhattacharya; Shayok Chakraborty (WACV, 2019)

Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles. - Shayok Chakraborty (AAAI, 2020)

A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's Disease. - Alexander M. Yuan; Shayok Chakraborty (ICMLA, 2020)

Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications. - Subhankar Banerjee; Shayok Chakraborty (IJCNN, 2020)

Deep Active Transfer Learning for Image Recognition. - Ankita Singh; Shayok Chakraborty (IJCNN, 2020)

Active Learning for Multimedia Computing: Survey, Recent Trends and Applications. - Shayok Chakraborty (ACM Multimedia, 2020)

Deep Domain Adaptation for Regression. - Ankita Singh; Shayok Chakraborty (Development and Analysis of Deep Learning Architectures, 2020)

Deterministic Mini-batch Sequencing for Training Deep Neural Networks. - Subhankar Banerjee; Shayok Chakraborty (AAAI, 2021)

Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation. - Ankita Singh; Shayok Chakraborty (IJCNN, 2021)

High-resolution home location prediction from Twitter activities using consensus deep learning. - Meysam Ghaffari; Ashok Srinivasan; Xiuwen Liu; Shayok Chakraborty (Soc. Netw. Anal. Min., 2021)

Active Sampling for Text Classification with Subinstance Level Queries. - Shayok Chakraborty; Ankita Singh (AAAI, 2022)

Deep Active Learning with Range Feedback for Facial Age Estimation. - Aditya R. Bhattacharya; Shayok Chakraborty (IJCNN, 2022)

A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training. - Zhe He 001; Shubo Tian; Ankita Singh; Shayok Chakraborty; Shenghao Zhang; Mia Liza A. Lustria; Neil Charness; Nelson A. Roque; Erin Harrell; Walter R. Boot (Inf. Process. Manag., 2022)

Active Learning for Video Classification with Frame Level Queries. - Debanjan Goswami; Shayok Chakraborty (IJCNN, 2023)

ACIL: Active Class Incremental Learning for Image Classification. - Aditya R. Bhattacharya; Debanjan Goswami; Shayok Chakraborty (BMVC, 2024)

Multi-source Deep Domain Adaptation for Deepfake Detection. - Md Shamim Seraj; Shayok Chakraborty (ICPR (21), 2024)

Knowledge Distillation in Deep Networks Under a Constrained Query Budget. - Ankita Singh; Shayok Chakraborty (ICPR (1), 2024)

Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism. - Ronast Subedi; Lu Wei; Wenhan Gao 002; Shayok Chakraborty; Yi Liu 059 (NeurIPS, 2024)

FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification. - Chutian Jiang; Hansong Zhou; Xiaonan Zhang 001; Shayok Chakraborty (ECML/PKDD (3), 2024)

Active Batch Sampling for Multi-label Classification with Binary User Feedback. - Debanjan Goswami; Shayok Chakraborty (WACV, 2024)

Semi-Supervised Deep Domain Adaptation for Deepfake Detection. - Md Shamim Seraj; Ankita Singh; Shayok Chakraborty (WACV (Workshops), 2024)

D3GU: Multi-target Active Domain Adaptation via Enhancing Domain Alignment. - Lin Zhang 040; Linghan Xu; Saman Motamed; Shayok Chakraborty; Fernando De la Torre (WACV, 2024)

Applying multimodal data fusion to track autistic adolescents' representational flexibility development during virtual reality-based training. - Jewoong Moon; Fengfeng Ke; Zlatko Sokolikj; Shayok Chakraborty (Comput. Educ. X Real., 2024)

D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment. - Lin Zhang 040; Linghan Xu; Saman Motamed; Shayok Chakraborty; Fernando De la Torre (CoRR, 2024)

Active Learning for Image Segmentation with Binary User Feedback. - Debanjan Goswami; Shayok Chakraborty (WACV, 2025)

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision. - Xiao Fang; Minhyek Jeon; Zheyang Qin; Stanislav Panev; Celso de Melo; Shuowen Hu; Shayok Chakraborty; Fernando De la Torre (CoRR, 2025)