A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns. - Tapabrata Chakraborti; Amitava Chatterjee (Eng. Appl. Artif. Intell., 2014)

A novel local extrema based gravitational search algorithm and its application in face recognition using one training image per class. - Tapabrata Chakraborti; Kaushik Das Sharma; Amitava Chatterjee (Eng. Appl. Artif. Intell., 2014)

Automated emotion recognition employing a novel modified binary quantum-behaved gravitational search algorithm with differential mutation. - Tapabrata Chakraborti; Amitava Chatterjee; Anisha Halder; Amit Konar (Expert Syst. J. Knowl. Eng., 2015)

A self-adaptive matched filter for retinal blood vessel detection. - Tapabrata Chakraborti; Dhiraj K. Jha; Ananda S. Chowdhury; Xiaoyi Jiang 001 (Mach. Vis. Appl., 2015)

A scale and rotation invariant scheme for multi-oriented Character Recognition. - Nilamadhaba Tripathy; Tapabrata Chakraborti; Mita Nasipuri; Umapada Pal 001 (ICPR, 2016)

Collaborative representation based fine-grained species recognition. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IVCNZ, 2016)

A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC). - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (BMVC, 2017)

LOOP Descriptor: Encoding Repeated Local Patterns for Fine-grained Visual Identification of Lepidoptera. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (CoRR, 2017)

Fine-grained Collaborative K-Means Clustering. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IVCNZ, 2018)

LOOP Descriptor: Local Optimal-Oriented Pattern. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IEEE Signal Process. Lett., 2018)

CoCoNet: A Collaborative Convolutional Network. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (CoRR, 2019)

PProCRC: Probabilistic Collaboration of Image Patches. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (CoRR, 2019)

Distance Metric Learned Collaborative Representation Classifier. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (CoRR, 2019)

Contrastive Algorithmic Fairness: Part 1 (Theory) - Tapabrata Chakraborti; Arijit Patra; J. Alison Noble (CoRR, 2019)

A deep learning-shape driven level set synergism for pulmonary nodule segmentation. - Rukhmini Roy; Tapabrata Chakraborti; Ananda S. Chowdhury (Pattern Recognit. Lett., 2019)

Learn More, Forget Less: Cues from Human Brain. - Arijit Patra; Tapabrata Chakraborti (ACCV (4), 2020)

Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. - Mengran Fan; Tapabrata Chakraborti; Eric I-Chao Chang; Yan Xu 001; Jens Rittscher (ISBI, 2020)

CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IVCNZ, 2020)

PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IVCNZ, 2020)

A Comparative Study of Explainer Modules Applied to Automated Skin Lesion Classification. - Jia Sun; Tapabrata Chakraborti; J. Alison Noble (XI-ML@KI, 2020)

Microscopic Fine-Grained Instance Classification Through Deep Attention. - Mengran Fan; Tapabrata Chakraborti; Eric I-Chao Chang; Yan Xu 001; Jens Rittscher (MICCAI (5), 2020)

Automated Annotator: Capturing Expert Knowledge for Free. - Sebastian Elmes; Tapabrata Chakraborti; Mengran Fan; Holm H. Uhlig; Jens Rittscher (EMBC, 2021)

Learning Cellular Phenotypes through Supervision. - Helen Theissen; Tapabrata Chakraborti; Stefano Malacrino; Korsuk Sirinukunwattana; Daniel Royston; Jens Rittscher (EMBC, 2021)

Contrastive Representations for Continual Learning of Fine-Grained Histology Images. - Tapabrata Chakraborti; Fergus Gleeson; Jens Rittscher (MLMI@MICCAI, 2021)

Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection. - Tamal Chowdhury; Angad R. S. Bajwa; Tapabrata Chakraborti; Jens Rittscher; Umapada Pal 001 (MIUA, 2021)

Active Data Enrichment by Learning What to Annotate in Digital Pathology. - George Batchkala; Tapabrata Chakraborti; Mark McCole; Fergus Gleeson; Jens Rittscher (CaPTion@MICCAI, 2022)

Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images. - Kunal Biswas; Palaiahnakote Shivakumara; Umapada Pal 001; Tapabrata Chakraborti; Tong Lu; Mohamad Nizam Bin Ayub (Knowl. Based Syst., 2022)

MoMSGAN: Mode Collapse based Degradation Agnostic Multi-Scale Super-Resolution of Medical Images. - Samiran Dey; Tapabrata Chakraborti; Partha Basuchowdhuri; Debasis Mitra; Robin Augustine; Sanjoy Kumar Saha 001 (ICVGIP, 2023)

Ret2Ret: Retinal Blood Vessel Extraction via Improved Pix2Pix Image Translation. - Rohan Banerjee; Sanjoy Kumar Saha 001; Tapabrata Chakraborti (MICAD, 2023)

BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images. - Samiran Dey; Partha Basuchowdhuri; Debasis Mitra; Robin Augustine; Sanjoy Kumar Saha 001; Tapabrata Chakraborti (MIUA, 2023)

Learning from data with structured missingness. - Robin Mitra; Sarah F. McGough; Tapabrata Chakraborti; Chris C. Holmes; Ryan Copping; Niels Hagenbuch; Stefanie Biedermann; Jack Noonan; Brieuc Lehmann; Aditi Shenvi; Xuan Vinh Doan; David Leslie; et al. (Nat. Mac. Intell., 2023)

RUBic: rapid unsupervised biclustering. - Brijesh Kumar Sriwastava; Anup Kumar Halder; Subhadip Basu; Tapabrata Chakraborti (BMC Bioinform., 2023)

Generative AI models should include detection mechanisms as a condition for public release. - Alistair Knott; Dino Pedreschi; Raja Chatila 001; Tapabrata Chakraborti; Susan Leavy; Ricardo Baeza-Yates; David M. Eyers; Andrew Trotman; Paul D. Teal; Przemyslaw Biecek; Stuart Russell 001; Yoshua Bengio (Ethics Inf. Technol., 2023)

Unsupervised Hybrid Deep Feature Encoder for Robust Feature Learning from Resting-State EEG Data. - Yuan Yue; Jeremiah D. Deng; Tapabrata Chakraborti; Dirk De Ridder; Patrick Manning (EMBC, 2024)

Conformal Adversarial Generative Ensemble. - Ahmad Shahi; Mamehgol Yousefi; Brendon J. Woodford; Farhaan Mirza; Tapabrata Chakraborti (ICONIP (2), 2024)

A Fast Domain-Inspired Unsupervised Method to Compute COVID-19 Severity Scores from Lung CT. - Samiran Dey; Bijon Kundu; Partha Basuchowdhuri; Sanjoy Kumar Saha 001; Tapabrata Chakraborti (ICPR (12), 2024)

Investigating Feature Clustering for Generalised 3D Point Cloud Part Segmentation. - Nirmal Das; Steven Mills; Lech Szymanski; Xinyu Jiang; Tapabrata Chakraborti (IVCNZ, 2024)

RetNet: A Two-Stage Deep Neural Network for Clinically Traceable Retinal Disease Classification. - Rohan Banerjee; Sanjoy Kumar Saha 001; Tapabrata Chakraborti (MICAD, 2024)

A Lightweight Feature Fusion and Machine Learning Method for Effective Home Monitoring and Early Detection of Sleep Apnea. - Subrata Sarkar; Debjit Dhar; Rajib Sarkar; Sanjoy Kumar Saha 001; Tapabrata Chakraborti (MICAD, 2024)

Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias. - Faizanuddin Ansari; Tapabrata Chakraborti; Swagatam Das (MICCAI (1), 2024)

SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). - Zhihang Ren; Yunqi Li; Xinyu Li; Xinrong Xie; Erik P. Duhaime; Kathy Fang; Tapabrata Chakraborti; Yunhui Guo; Stella X. Yu; David Whitney (MICCAI (1), 2024)

Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario. - Avigyan Bhattacharya; Tapabrata Chakraborti; Subhadip Basu; Alistair Knott; Dino Pedreschi; Raja G. Chatila; Susan Leavy; David M. Eyers; Paul D. Teal; Przemyslaw Biecek (WebSci (Companion), 2024)

Uncertainty quantification of cuffless blood pressure estimation based on parameterized model evidential ensemble learning. - Zhan Shen; Tapabrata Chakraborti; Wenyan Wang; Shuaiting Yao; Zhizhong Fu; Yifan Chen 001; Xiaorong Ding (Biomed. Signal Process. Control., 2024)

An improved deep regression model with state space reconstruction for continuous blood pressure estimation. - Liangyi Lyu; Lei Lu; Hanjie Chen; David A. Clifton; Yuanting Zhang; Tapabrata Chakraborti (Comput. Electr. Eng., 2024)

Deep Learning as Ricci Flow. - Anthony Baptista; Alessandro Barp; Tapabrata Chakraborti; Chris Harbron; Ben D. MacArthur; Christopher R. S. Banerji (CoRR, 2024)

AI content detection in the emerging information ecosystem: new obligations for media and tech companies. - Alistair Knott; Dino Pedreschi; Toshiya Jitsuzumi; Susan Leavy; David M. Eyers; Tapabrata Chakraborti; Andrew Trotman; Sundar Sundareswaran; Ricardo Baeza-Yates; Przemyslaw Biecek; Adrian Weller; Paul D. Teal; et al. (Ethics Inf. Technol., 2024)

Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies. - Alistair Knott; Dino Pedreschi; Toshiya Jitsuzumi; Susan Leavy; David M. Eyers; Tapabrata Chakraborti; Andrew Trotman; Sundar Sundareswaran; Ricardo Baeza-Yates; Przemyslaw Biecek; Adrian Weller; Paul D. Teal; et al. (Ethics Inf. Technol., 2024)

Detection of Multiple Cardiac Disorders Based on Heartbeat Morphology and Time Segment Analysis of ECG Signals. - Subrata Sarkar; Debjit Dhar; Rajib Sarkar; Sanjoy Kumar Saha 001; Tapabrata Chakraborti (AIiH (2), 2025)

Conformal Prediction for Reliable Image Super-Resolution. - Tapabrata Chakraborti; Samiran Dey (COPA, 2025)

Get a GRIP on Test Time Adaptation! - Group Robust Inference-Time Policy Optimization for Vision Models. - Prabhav Sanga; Jaskaran Singh; Tapabrata Chakraborti (CVPR Workshops, 2025)

Attention Aware Continual Learning in Digital Pathology Contexts. - Arijit Patra; Tapabrata Chakraborti (ISBI, 2025)

Uncertainty estimation using boundary prediction for medical image super-resolution. - Samiran Dey; Partha Basuchowdhuri; Debasis Mitra; Robin Augustine; Sanjoy Kumar Saha 001; Tapabrata Chakraborti (Comput. Vis. Image Underst., 2025)

Personalized uncertainty quantification in artificial intelligence. - Tapabrata Chakraborti; Christopher R. S. Banerji; Ariane Marandon; Vicky Hellon; Robin Mitra; Brieuc Lehmann; Leandra Bräuninger; Sarah F. McGough; Cagatay Turkay; Alejandro F. Frangi; Ginestra Bianconi; Weizi Li; et al. (Nat. Mac. Intell., 2025)

VECT-GAN: A variationally encoded generative model for overcoming data scarcity in pharmaceutical science. - Youssef Abdalla; Marrisa Taub; Eleanor Hilton; Priya Akkaraju; Alexander Milanovic; Mine Orlu; Abdul W. Basit; Michael T. Cook; Tapabrata Chakraborti; David Shorthouse (CoRR, 2025)

Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions. - Samiran Dey; Christopher R. S. Banerji; Partha Basuchowdhuri; Sanjoy Kumar Saha 001; Deepak Parashar; Tapabrata Chakraborti (CoRR, 2025)

Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics. - Swarnava Bhattacharyya; Umapada Pal 001; Tapabrata Chakraborti (CoRR, 2025)

Leakage and Interpretability in Concept-Based Models. - Enrico Parisini; Tapabrata Chakraborti; Chris Harbron; Ben D. MacArthur; Christopher R. S. Banerji (CoRR, 2025)

Pan-Ret: a semi-supervised framework for scalable detection of pan-retinal diseases. - Rohan Banerjee; Rakhshanda Mujib; Prayas Sanyal; Tapabrata Chakraborti; Sanjoy Kumar Saha 001 (Medical Biol. Eng. Comput., 2025)

Deep features and metaheuristics guided optimization-based method for breast cancer diagnosis. - Emon Asad; Ayatullah Faruk Mollah; Subhadip Basu; Tapabrata Chakraborti (Multim. Tools Appl., 2025)

DEPP: dictionary embedded probabilistic priors for scene text image super-resolution. - Avigyan Bhattacharya; Subhadip Basu; Tapabrata Chakraborti (Neural Comput. Appl., 2025)

2dSpAn-Auto: an automated tool for analysis of two-dimensional dendritic spine images. - Shauvik Paul; Rahul Pramanick; Nirmal Das; Ewa Baczynska; Zeinab Bedrood; Tapabrata Chakraborti; Subhadip Basu; Jakub Wlodarczyk (BMC Bioinform., 2025)