Tapabrata Chakraborti

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Binary Patterns

Face Recognition

Gravitational Search Algorithm

Top Venues

Publications

Liangyi Lyu, Lei Lu, Hanjie Chen, David A. Clifton, Yuanting Zhang, Tapabrata Chakraborti
An improved deep regression model with state space reconstruction for continuous blood pressure estimation. Comput. Electr. Eng. 118 (2024)
Zhan Shen, Tapabrata Chakraborti, Wenyan Wang, Shuaiting Yao, Zhizhong Fu, Yifan Chen, Xiaorong Ding
Uncertainty quantification of cuffless blood pressure estimation based on parameterized model evidential ensemble learning. Biomed. Signal Process. Control. 92 (2024)
Avigyan Bhattacharya, Tapabrata Chakraborti, Subhadip Basu, Alistair Knott, Dino Pedreschi, Raja G. Chatila, Susan Leavy, David M. Eyers, Paul D. Teal, Przemyslaw Biecek
Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario. WebSci (Companion) (2024)
Anthony Baptista, Alessandro Barp, Tapabrata Chakraborti, Chris Harbron, Ben D. MacArthur, Christopher R. S. Banerji
Deep Learning as Ricci Flow. CoRR (2024)
Samiran Dey, Partha Basuchowdhuri, Debasis Mitra, Robin Augustine, Sanjoy Kumar Saha, Tapabrata Chakraborti
BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images. MIUA (2023)
Alistair Knott, Dino Pedreschi, Raja Chatila, Tapabrata Chakraborti, Susan Leavy, Ricardo Baeza-Yates, David M. Eyers, Andrew Trotman, Paul D. Teal, Przemyslaw Biecek, Stuart Russell, Yoshua Bengio
Generative AI models should include detection mechanisms as a condition for public release. Ethics Inf. Technol. 25 (4) (2023)
Brijesh Kumar Sriwastava, Anup Kumar Halder, Subhadip Basu, Tapabrata Chakraborti
RUBic: rapid unsupervised biclustering. BMC Bioinform. 24 (1) (2023)
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, Ginestra Bianconi, Rubén Sánchez-García, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Learning from data with structured missingness. CoRR (2023)
Samiran Dey, Tapabrata Chakraborti, Partha Basuchowdhuri, Debasis Mitra, Robin Augustine, Sanjoy Kumar Saha
MoMSGAN: Mode Collapse based Degradation Agnostic Multi-Scale Super-Resolution of Medical Images. ICVGIP (2023)
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, Ginestra Bianconi, Rubén J. Sánchez-García, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Learning from data with structured missingness. Nat. Mac. Intell. 5 (1) (2023)
Kunal Biswas, Palaiahnakote Shivakumara, Umapada Pal, Tapabrata Chakraborti, Tong Lu, Mohamad Nizam Bin Ayub
Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images. Knowl. Based Syst. 241 (2022)
George Batchkala, Tapabrata Chakraborti, Mark McCole, Fergus Gleeson, Jens Rittscher
Active Data Enrichment by Learning What to Annotate in Digital Pathology. CaPTion@MICCAI (2022)
Helen Theissen, Tapabrata Chakraborti, Stefano Malacrino, Korsuk Sirinukunwattana, Daniel Royston, Jens Rittscher
Learning Cellular Phenotypes through Supervision. EMBC (2021)
Sebastian Elmes, Tapabrata Chakraborti, Mengran Fan, Holm H. Uhlig, Jens Rittscher
Automated Annotator: Capturing Expert Knowledge for Free. EMBC (2021)
Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher
Contrastive Representations for Continual Learning of Fine-Grained Histology Images. MLMI@MICCAI (2021)
Tamal Chowdhury, Angad R. S. Bajwa, Tapabrata Chakraborti, Jens Rittscher, Umapada Pal
Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection. MIUA (2021)
Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
Microscopic fine-grained instance classification through deep attention. CoRR (2020)
Arijit Patra, Tapabrata Chakraborti
Learn More, Forget Less: Cues from Human Brain. ACCV (4) (2020)
Jia Sun, Tapabrata Chakraborti, J. Alison Noble
A Comparative Study of Explainer Modules Applied to Automated Skin Lesion Classification. XI-ML@KI (2020)
Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
Microscopic Fine-Grained Instance Classification Through Deep Attention. MICCAI (5) (2020)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification. IVCNZ (2020)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification. IVCNZ (2020)
Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. ISBI (2020)
Tapabrata Chakraborti, Arijit Patra, J. Alison Noble
Contrastive Algorithmic Fairness: Part 1 (Theory) CoRR (2019)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
PProCRC: Probabilistic Collaboration of Image Patches. CoRR (2019)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
Distance Metric Learned Collaborative Representation Classifier. CoRR (2019)
Rukhmini Roy, Tapabrata Chakraborti, Ananda S. Chowdhury
A deep learning-shape driven level set synergism for pulmonary nodule segmentation. Pattern Recognit. Lett. 123 (2019)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
CoCoNet: A Collaborative Convolutional Network. CoRR (2019)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
Fine-grained Collaborative K-Means Clustering. IVCNZ (2018)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
LOOP Descriptor: Local Optimal-Oriented Pattern. IEEE Signal Process. Lett. 25 (5) (2018)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC). BMVC (2017)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
LOOP Descriptor: Encoding Repeated Local Patterns for Fine-grained Visual Identification of Lepidoptera. CoRR (2017)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
Collaborative representation based fine-grained species recognition. IVCNZ (2016)
Nilamadhaba Tripathy, Tapabrata Chakraborti, Mita Nasipuri, Umapada Pal
A scale and rotation invariant scheme for multi-oriented Character Recognition. ICPR (2016)
Tapabrata Chakraborti, Dhiraj K. Jha, Ananda S. Chowdhury, Xiaoyi Jiang
A self-adaptive matched filter for retinal blood vessel detection. Mach. Vis. Appl. 26 (1) (2015)
Tapabrata Chakraborti, Amitava Chatterjee, Anisha Halder, Amit Konar
Automated emotion recognition employing a novel modified binary quantum-behaved gravitational search algorithm with differential mutation. Expert Syst. J. Knowl. Eng. 32 (4) (2015)
Tapabrata Chakraborti, Amitava Chatterjee
A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns. Eng. Appl. Artif. Intell. 33 (2014)
Tapabrata Chakraborti, Kaushik Das Sharma, Amitava Chatterjee
A novel local extrema based gravitational search algorithm and its application in face recognition using one training image per class. Eng. Appl. Artif. Intell. 34 (2014)