Shayok Chakraborty

According to our database1, Shayok Chakraborty authored at least 57 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment.
CoRR, 2024

2023
Active Learning for Video Classification with Frame Level Queries.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training.
Inf. Process. Manag., 2022

Deep Active Learning with Range Feedback for Facial Age Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Active Sampling for Text Classification with Subinstance Level Queries.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
High-resolution home location prediction from Twitter activities using consensus deep learning.
Soc. Netw. Anal. Min., 2021

Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deterministic Mini-batch Sequencing for Training Deep Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Domain Adaptation for Regression.
Proceedings of the Development and Analysis of Deep Learning Architectures, 2020

Active Learning for Multimedia Computing: Survey, Recent Trends and Applications.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Active Transfer Learning for Image Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's Disease.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Active Learning with n-ary Queries for Image Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Deepsub: A Novel Subset Selection Framework for Training Deep Learning Architectures.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Generic Active Learning Framework for Class Imbalance Applications.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Distributed Active Learning for Image Recognition.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Multi-Label Deep Active Learning with Label Correlation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations.
IEEE Signal Process. Mag., 2017

Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies.
Int. J. Semantic Comput., 2017

Hierarchical learning for automated malware classification.
Proceedings of the 2017 IEEE Military Communications Conference, 2017

Deep active learning for image classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Hashing Network for Unsupervised Domain Adaptation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Social Interaction Assistant: A Person-Centered Approach to Enrich Social Interactions for Individuals With Visual Impairments.
IEEE J. Sel. Top. Signal Process., 2016

Person-Centered Multimedia Computing: A New Paradigm Inspired by Assistive and Rehabilitative Applications.
IEEE Multim., 2016

Multimodal emotion recognition using deep learning architectures.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Smart Stadium for Smarter Living: Enriching the Fan Experience.
Proceedings of the IEEE International Symposium on Multimedia, 2016

Nonlinear Embedding Transform for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Transfer of multimodal emotion features in deep belief networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Adaptive Batch Mode Active Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Conformal predictions for information fusion - A comparative study of p-value combination methods.
Ann. Math. Artif. Intell., 2015

Adaptive Keyframe Selection for Video Summarization.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Towards Distributed Video Summarization.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013
Batch Mode Active Learning for Multimedia Pattern Recognition.
PhD thesis, 2013

Generalized batch mode active learning for face-based biometric recognition.
Pattern Recognit., 2013

PyCP: An Open-Source Conformal Predictions Toolkit.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Active Matrix Completion.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Batch Mode Active Learning for Multimedia Pattern Recognition.
Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012

2011
Optimal batch selection for active learning in multi-label classification.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Active Batch Selection for Fuzzy Classification in Facial Expression Recognition.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Dynamic batch mode active learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Dynamic Batch Mode Active Learning via L1 Regularization.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Learning from summaries of videos: Applying batch mode active learning to face-based biometrics.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Generalized Query by Transduction for online active learning.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008
Multiple cue integration in transductive confidence machines for head pose classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Document Frauds: Identification and Linking Fake Document to Scanners and Printers.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007


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