Tapabrata Chakraborti

According to our database, Tapabrata Chakraborti authored at least 32 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Generative AI models should include detection mechanisms as a condition for public release.

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

Ethics Inf. Technol., December, 2023

RUBic: rapid unsupervised biclustering.

Brijesh Kumar Sriwastava, Anup Kumar Halder, Subhadip Basu, Tapabrata Chakraborti

BMC Bioinform., December, 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, Ginestra Bianconi, Rubén J. Sánchez-García, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur

Nat. Mac. Intell., January, 2023

BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images.

Samiran Dey, Partha Basuchowdhuri, Debasis Mitra, Robin Augustine, Sanjoy Kumar Saha, Tapabrata Chakraborti

Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

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

Proceedings of the Fourteenth Indian Conference on Computer Vision, 2023

2022

Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images.

Kunal Biswas, Palaiahnakote Shivakumara, Umapada Pal, Tapabrata Chakraborti, Tong Lu, Mohamad Nizam Bin Ayub

Knowl. Based Syst., 2022

Active Data Enrichment by Learning What to Annotate in Digital Pathology.

George Batchkala, Tapabrata Chakraborti, Mark McCole, Fergus Gleeson, Jens Rittscher

Proceedings of the Cancer Prevention Through Early Detection, 2022

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

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Contrastive Representations for Continual Learning of Fine-Grained Histology Images.

Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Learning Cellular Phenotypes through Supervision.

Helen Theissen, Tapabrata Chakraborti, Stefano Malacrino, Korsuk Sirinukunwattana, Daniel Royston, Jens Rittscher

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Automated Annotator: Capturing Expert Knowledge for Free.

Sebastian Elmes, Tapabrata Chakraborti, Mengran Fan, Holm H. Uhlig, Jens Rittscher

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Microscopic Fine-Grained Instance Classification Through Deep Attention.

Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Comparative Study of Explainer Modules Applied to Automated Skin Lesion Classification.

Jia Sun, Tapabrata Chakraborti, J. Alison Noble

Proceedings of the First International Workshop on Explainable and Interpretable Machine Learning (XI-ML 2020) co-located with the 43rd German Conference on Artificial Intelligence (KI 2020), 2020

PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification.

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification.

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention.

Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Learn More, Forget Less: Cues from Human Brain.

Arijit Patra, Tapabrata Chakraborti

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

A deep learning-shape driven level set synergism for pulmonary nodule segmentation.

Rukhmini Roy, Tapabrata Chakraborti, Ananda S. Chowdhury

Pattern Recognit. Lett., 2019

Contrastive Algorithmic Fairness: Part 1 (Theory)

Tapabrata Chakraborti, Arijit Patra, J. Alison Noble

CoRR, 2019

Distance Metric Learned Collaborative Representation Classifier.

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

CoRR, 2019

PProCRC: Probabilistic Collaboration of Image Patches.

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

CoRR, 2019

CoCoNet: A Collaborative Convolutional Network.

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

CoRR, 2019

2018

LOOP Descriptor: Local Optimal-Oriented Pattern.

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

IEEE Signal Process. Lett., 2018

Fine-grained Collaborative K-Means Clustering.

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

2017

LOOP Descriptor: Encoding Repeated Local Patterns for Fine-grained Visual Identification of Lepidoptera.

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

CoRR, 2017

A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC).

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Collaborative representation based fine-grained species recognition.

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal

Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

A scale and rotation invariant scheme for multi-oriented Character Recognition.

Nilamadhaba Tripathy, Tapabrata Chakraborti, Mita Nasipuri, Umapada Pal

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

A self-adaptive matched filter for retinal blood vessel detection.

Tapabrata Chakraborti, Dhiraj K. Jha, Ananda S. Chowdhury, Xiaoyi Jiang

Mach. Vis. Appl., 2015

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

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

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