Shounak Datta

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 37

Top Topics

Pareto Optimality

Fuzzy Clustering

Imbalanced Data Classification

Top Venues

Comput. Chem. Eng.

Pattern Recognit.

Pattern Recognit. Lett.

Publications

Shounak Datta, Shiladitya Mal, Arun K. Pati, Archan S. Majumdar
Remote state preparation by multiple observers using a single copy of a two-qubit entangled state. Quantum Inf. Process. 23 (2) (2024)
Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das
Interval Bound Interpolation for Few-shot Learning with Few Tasks. ICML (2023)
Yuanfang Ren, Yanjun Li, Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Shounak Datta, Matthew M. Ruppert, Ziyuan Guan, Benjamin Shickel, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. CoRR (2023)
Shounak Datta, Sankha Subhra Mullick, Swagatam Das
Interval Bound Propagation-aided Few-shot Learning. CoRR (2022)
Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Asit Kr. Das, Rammohan Mallipeddi
A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers. Pattern Recognit. 122 (2022)
Avisek Gupta, Shounak Datta, Swagatam Das
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach. IEEE Trans. Cybern. 51 (5) (2021)
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
Counterfactual Representation Learning with Balancing Weights. AISTATS (2021)
Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis. CoRR (2020)
Shounak Datta, Sayak Nag, Swagatam Das
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning. IEEE Trans. Knowl. Data Eng. 32 (5) (2020)
Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li
Double Robust Representation Learning for Counterfactual Prediction. CoRR (2020)
Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Rammohan Mallipeddi, Asit Kumar Das
One Sparse Perturbation to Fool them All, almost Always! CoRR (2020)
Shounak Datta, Eduardo B. Mariottoni, David Dov, Alessandro A. Jammal, Lawrence Carin, Felipe A. Medeiros
RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure. CoRR (2020)
Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Application of Deep Interpolation Network for Clustering of Physiologic Time Series. CoRR (2020)
Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das
Appropriateness of performance indices for imbalanced data classification: An analysis. Pattern Recognit. 102 (2020)
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
Counterfactual Representation Learning with Balancing Weights. CoRR (2020)
Benjamin Shickel, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. CoRR (2020)
Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert, Chris Giordano, Lasith Adhikari, Ying-Chih Peng, Yuanfang Ren, Benjamin Shickel, Zheng Feng, Gloria Lipori, Gilbert R. Upchurch Jr., Xiaolin Li, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. CoRR (2019)
Sankha Subhra Mullick, Shounak Datta, Swagatam Das
Generative Adversarial Minority Oversampling. CoRR (2019)
Sankha Subhra Mullick, Shounak Datta, Swagatam Das
Generative Adversarial Minority Oversampling. ICCV (2019)
Shounak Datta, Swagatam Das
Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Shounak Datta, Vikrant A. Dev, Mario R. Eden
Developing non-linear rate constant QSPR using decision trees and multi-gene genetic programming. Comput. Chem. Eng. 127 (2019)
Shounak Datta, Vikrant A. Dev, Mario R. Eden
Using correlation based adaptive LASSO algorithm to develop QSPR of antitumour agents for DNA-drug binding prediction. Comput. Chem. Eng. 122 (2019)
Swagatam Das, Shounak Datta, Bidyut B. Chaudhuri
Handling data irregularities in classification: Foundations, trends, and future challenges. Pattern Recognit. 81 (2018)
Sankha Subhra Mullick, Shounak Datta, Swagatam Das
Adaptive Learning-Based $k$ -Nearest Neighbor Classifiers With Resilience to Class Imbalance. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Avisek Gupta, Shounak Datta, Swagatam Das
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach. CoRR (2018)
Avisek Gupta, Shounak Datta, Swagatam Das
-means clustering. Pattern Recognit. Lett. 116 (2018)
Shounak Datta, Supritam Bhattacharjee, Swagatam Das
Clustering with missing features: a penalized dissimilarity measure based approach. Mach. Learn. 107 (12) (2018)
Shounak Datta, Sayak Nag, Swagatam Das
On Boosting, Tug of War, and Lexicographic Programming. CoRR (2017)
Shounak Datta, Sayak Nag, Sankha Subhra Mullick, Swagatam Das
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts. CoRR (2017)
Ananda G. Maity, Shounak Datta, Archan S. Majumdar
Tighter Einstein-Podolsky-Rosen steering inequality based on the sum uncertainty relation. CoRR (2017)
Shounak Datta, Sankha Subhra Mullick, Swagatam Das
Generalized mean based back-propagation of errors for ambiguity resolution. Pattern Recognit. Lett. 94 (2017)
Shounak Datta, Abhiroop Ghosh, Krishnendu Sanyal, Swagatam Das
A Radial Boundary Intersection aided interior point method for multi-objective optimization. Inf. Sci. 377 (2017)
Shounak Datta, Vikrant A. Dev, Mario R. Eden
Hybrid genetic algorithm-decision tree approach for rate constant prediction using structures of reactants and solvent for Diels-Alder reaction. Comput. Chem. Eng. 106 (2017)
Shounak Datta, Debaleena Misra, Swagatam Das
A feature weighted penalty based dissimilarity measure for k-nearest neighbor classification with missing features. Pattern Recognit. Lett. 80 (2016)
Shounak Datta, Supritam Bhattacharjee, Swagatam Das
Clustering with Missing Features: A Penalized Dissimilarity Measure based approach. CoRR (2016)
Shounak Datta, Swagatam Das
Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs. Neural Networks 70 (2015)
Sujoy Paul, Shounak Datta, Swagatam Das
Rough-Fuzzy Collaborative Multi-level Image Thresholding: A Differential Evolution Approach. MENDEL (2015)
Anwesha Banerjee, Sumantra Chakraborty, Pratyusha Das, Shounak Datta, Amit Konar, D. N. Tibarewala, Ramadoss Janarthanan
Single channel electrooculogram(EOG) based interface for mobility aid. IHCI (2012)
Anwesha Banerjee, Shounak Datta, Pratyusha Das, Amit Konar, D. N. Tibarewala, Ramadoss Janarthanan
Electrooculogram Based Online Control Signal Generation for Wheelchair. ISED (2012)