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ORCIDShayok Chakraborty
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Books and Theses
- 2013
[b1]Shayok Chakraborty:
Batch Mode Active Learning for Multimedia Pattern Recognition. Arizona State University, Tempe, USA, 2013
Journal Articles
- 2024
- [j11]Jewoong Moon
, Fengfeng Ke, Zlatko Sokolikj, Shayok Chakraborty:
Applying multimodal data fusion to track autistic adolescents' representational flexibility development during virtual reality-based training. Comput. Educ. X Real. 4: 100063 (2024) - 2022
- [j10]Zhe He, Shubo Tian, Ankita Singh, Shayok Chakraborty, Shenghao Zhang, Mia Liza A. Lustria, Neil Charness, Nelson A. Roque, Erin Harrell, Walter R. Boot:
A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training. Inf. Process. Manag. 59(5): 103034 (2022) - 2021
- [j9]Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu, Shayok Chakraborty:
High-resolution home location prediction from Twitter activities using consensus deep learning. Soc. Netw. Anal. Min. 11(1): 95 (2021) - 2017
- [j8]Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon, Bijan Fakhri, Noel E. O'Connor, Mark Marsden, Suzanne Little, Kevin McGuinness, David S. Monaghan:
Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. Int. J. Semantic Comput. 11(2): 137-170 (2017) - [j7]Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations. IEEE Signal Process. Mag. 34(6): 117-129 (2017) - 2016
- [j6]Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon:
Person-Centered Multimedia Computing: A New Paradigm Inspired by Assistive and Rehabilitative Applications. IEEE Multim. 23(3): 12-19 (2016) - [j5]Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel:
Social Interaction Assistant: A Person-Centered Approach to Enrich Social Interactions for Individuals With Visual Impairments. IEEE J. Sel. Top. Signal Process. 10(5): 942-951 (2016) - 2015
- [j4]Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan:
Conformal predictions for information fusion - A comparative study of p-value combination methods. Ann. Math. Artif. Intell. 74(1-2): 45-65 (2015) - [j3]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Qian Sun, Sethuraman Panchanathan, Jieping Ye:
Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 1945-1958 (2015) - [j2]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Adaptive Batch Mode Active Learning. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1747-1760 (2015) - 2013
- [j1]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Generalized batch mode active learning for face-based biometric recognition. Pattern Recognit. 46(2): 497-508 (2013)
Conference and Workshop Papers
- 2024
- [c48]Chutian Jiang, Hansong Zhou, Xiaonan Zhang, Shayok Chakraborty:
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification. ECML/PKDD (3) 2024: 178-196 - [c47]Md Shamim Seraj, Ankita Singh, Shayok Chakraborty:
Semi-Supervised Deep Domain Adaptation for Deepfake Detection. WACV (Workshops) 2024: 1061-1071 - [c46]Debanjan Goswami, Shayok Chakraborty:
Active Batch Sampling for Multi-label Classification with Binary User Feedback. WACV 2024: 2522-2531 - [c45]Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre:
D3GU: Multi-target Active Domain Adaptation via Enhancing Domain Alignment. WACV 2024: 2565-2574 - 2023
- [c44]Debanjan Goswami, Shayok Chakraborty:
Active Learning for Video Classification with Frame Level Queries. IJCNN 2023: 1-9 - 2022
- [c43]Shayok Chakraborty, Ankita Singh:
Active Sampling for Text Classification with Subinstance Level Queries. AAAI 2022: 6150-6158 - [c42]Aditya R. Bhattacharya, Shayok Chakraborty:
Deep Active Learning with Range Feedback for Facial Age Estimation. IJCNN 2022: 1-9 - 2021
- [c41]Subhankar Banerjee, Shayok Chakraborty:
Deterministic Mini-batch Sequencing for Training Deep Neural Networks. AAAI 2021: 6723-6731 - [c40]Ankita Singh, Shayok Chakraborty:
Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation. IJCNN 2021: 1-8 - 2020
- [c39]Shayok Chakraborty:
Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles. AAAI 2020: 3365-3372 - [c38]Alexander M. Yuan, Shayok Chakraborty:
A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's Disease. ICMLA 2020: 1324-1331 - [c37]Subhankar Banerjee, Shayok Chakraborty:
Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications. IJCNN 2020: 1-10 - [c36]Ankita Singh, Shayok Chakraborty:
Deep Active Transfer Learning for Image Recognition. IJCNN 2020: 1-9 - [c35]Shayok Chakraborty:
Active Learning for Multimedia Computing: Survey, Recent Trends and Applications. ACM Multimedia 2020: 4785-4786 - 2019
- [c34]Aditya R. Bhattacharya, Ji Liu, Shayok Chakraborty:
A Generic Active Learning Framework for Class Imbalance Applications. BMVC 2019: 121 - [c33]Subhankar Banerjee, Shayok Chakraborty:
Deepsub: A Novel Subset Selection Framework for Training Deep Learning Architectures. ICIP 2019: 1615-1619 - [c32]Michael Woodham, Jason Hawkins, Ankita Singh, Shayok Chakraborty:
When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach. ICMLA 2019: 426-431 - [c31]Chris Mills, Javier Escobar-Avila, Aditya Bhattacharya, Grigoriy Kondyukov, Shayok Chakraborty, Sonia Haiduc:
Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery. ICSME 2019: 103-113 - [c30]Aditya Bhattacharya, Shayok Chakraborty:
Active Learning with n-ary Queries for Image Recognition. WACV 2019: 800-808 - 2018
- [c29]Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Multi-Label Deep Active Learning with Label Correlation. ICIP 2018: 3418-3422 - [c28]Vishwas G. Torvi, Aditya Bhattacharya, Shayok Chakraborty:
Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease. ICMLA 2018: 1001-1006 - [c27]Shayok Chakraborty:
Distributed Active Learning for Image Recognition. WACV 2018: 1833-1841 - 2017
- [c26]Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan:
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. AAAI Workshops 2017 - [c25]Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan:
Deep Hashing Network for Unsupervised Domain Adaptation. CVPR 2017: 5385-5394 - [c24]Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Deep active learning for image classification. ICIP 2017: 3934-3938 - [c23]Shayok Chakraborty, Jack W. Stokes, Lin Xiao, Dengyong Zhou, Mady Marinescu, Anil Thomas:
Hierarchical learning for automated malware classification. MILCOM 2017: 23-28 - 2016
- [c22]Hiranmayi Ranganathan, Shayok Chakraborty, Sethuraman Panchanathan:
Transfer of multimodal emotion features in deep belief networks. ACSSC 2016: 449-453 - [c21]Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Nonlinear Embedding Transform for Unsupervised Domain Adaptation. ECCV Workshops (3) 2016: 451-457 - [c20]Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Matt Bunch, Noel E. O'Connor, Suzanne Little, Kevin McGuinness, Mark Marsden:
Smart Stadium for Smarter Living: Enriching the Fan Experience. ISM 2016: 152-157 - [c19]Hiranmayi Ranganathan, Shayok Chakraborty, Sethuraman Panchanathan:
Multimodal emotion recognition using deep learning architectures. WACV 2016: 1-9 - 2015
- [c18]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye:
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. KDD 2015: 99-108 - [c17]Shayok Chakraborty, Omesh Tickoo, Ravishankar R. Iyer:
Towards Distributed Video Summarization. ACM Multimedia 2015: 883-886 - [c16]Shayok Chakraborty, Omesh Tickoo, Ravi Iyer:
Adaptive Keyframe Selection for Video Summarization. WACV 2015: 702-709 - 2013
- [c15]Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye:
Active Matrix Completion. ICDM 2013: 81-90 - [c14]Vineeth Nallure Balasubramanian, Aaron Baker, Matthew Yanez, Shayok Chakraborty, Sethuraman Panchanathan:
PyCP: An Open-Source Conformal Predictions Toolkit. AIAI 2013: 361-370 - 2012
- [c13]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Batch Mode Active Learning for Multimedia Pattern Recognition. ISM 2012: 489-490 - 2011
- [c12]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Dynamic Batch Mode Active Learning via L1 Regularization. AAAI 2011: 1764-1765 - [c11]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Dynamic batch mode active learning. CVPR 2011: 2649-2656 - [c10]Shayok Chakraborty, Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Active Batch Selection for Fuzzy Classification in Facial Expression Recognition. ICMLA (1) 2011: 241-246 - [c9]Rita Chattopadhyay, Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models. ICMLA (1) 2011: 476-483 - [c8]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Optimal batch selection for active learning in multi-label classification. ACM Multimedia 2011: 1413-1416 - 2010
- [c7]Shayok Chakraborty, Vineeth N. Balasubramanian, Sethuraman Panchanathan:
Learning from summaries of videos: Applying batch mode active learning to face-based biometrics. CVPR Workshops 2010: 130-137 - [c6]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics. ICMLA 2010: 15-22 - [c5]Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan, Jieping Ye:
Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework. ICMLA 2010: 235-242 - [c4]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, Ondrej Glembek, Oldrich Plchot, Zdenek Jancik, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Ping-Han Lee, Jui-Yu Hung, Si-Wei Wu, Yi-Ping Hung, Lukás Machlica, John S. D. Mason, Sandra Mau, Conrad Sanderson, David Monzo, Antonio Albiol, Hieu V. Nguyen, Li Bai, Yan Wang, Matti Niskanen, Markus Turtinen, Juan Arturo Nolazco-Flores, L. Paola García-Perera, Roberto Aceves-Lopez, Mauricio Villegas, Roberto Paredes:
On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. ICPR Contests 2010: 210-225 - 2009
- [c3]Vineeth Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan:
Generalized Query by Transduction for online active learning. ICCV Workshops 2009: 1378-1385 - 2008
- [c2]Vineeth N. Balasubramanian, Sethuraman Panchanathan, Shayok Chakraborty:
Multiple cue integration in transductive confidence machines for head pose classification. CVPR Workshops 2008: 1-8 - 2007
- [c1]Gaurav Gupta, Sanjoy Kumar Saha, Shayok Chakraborty, Chandan Mazumdar:
Document Frauds: Identification and Linking Fake Document to Scanners and Printers. ICCTA 2007: 497-501
Parts in Books or Collections
- 2020
- [p1]Ankita Singh, Shayok Chakraborty:
Deep Domain Adaptation for Regression. Development and Analysis of Deep Learning Architectures 2020: 91-115
Informal and Other Publications
- 2024
- [i6]Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre:
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment. CoRR abs/2401.05465 (2024) - [i5]Chutian Jiang, Hansong Zhou, Xiaonan Zhang, Shayok Chakraborty:
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification. CoRR abs/2407.19103 (2024) - 2023
- [i4]Debanjan Goswami, Shayok Chakraborty:
Active Learning for Video Classification with Frame Level Queries. CoRR abs/2307.05587 (2023) - 2017
- [i3]Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan:
Deep Hashing Network for Unsupervised Domain Adaptation. CoRR abs/1706.07522 (2017) - [i2]Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Nonlinear Embedding Transform for Unsupervised Domain Adaptation. CoRR abs/1706.07524 (2017) - [i1]Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan:
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. CoRR abs/1706.07527 (2017)
Coauthor Index
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