default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShayok Chakraborty
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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)- [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 - [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
- [c44]Debanjan Goswami, Shayok Chakraborty:
Active Learning for Video Classification with Frame Level Queries. IJCNN 2023: 1-9 - [i4]Debanjan Goswami, Shayok Chakraborty:
Active Learning for Video Classification with Frame Level Queries. CoRR abs/2307.05587 (2023) - 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) - [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
- [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) - [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 - [p1]Ankita Singh, Shayok Chakraborty:
Deep Domain Adaptation for Regression. Development and Analysis of Deep Learning Architectures 2020: 91-115
2010 – 2019
- 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
- [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) - [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 - [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) - 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) - [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
- [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) - [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
- [b1]Shayok Chakraborty:
Batch Mode Active Learning for Multimedia Pattern Recognition. Arizona State University, Tempe, USA, 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) - [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
2000 – 2009
- 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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 21:02 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
