Shounak Datta

According to our database1, Shounak Datta authored at least 30 papers between 2012 and 2021.

Collaborative distances:



In proceedings 
PhD thesis 




Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach.
IEEE Trans. Cybern., 2021

Counterfactual Representation Learning with Balancing Weights.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning.
IEEE Trans. Knowl. Data Eng., 2020

Appropriateness of performance indices for imbalanced data classification: An analysis.
Pattern Recognit., 2020

Double Robust Representation Learning for Counterfactual Prediction.
CoRR, 2020

RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure.
CoRR, 2020

Application of Deep Interpolation Network for Clustering of Physiologic Time Series.
CoRR, 2020

One Sparse Perturbation to Fool them All, almost Always!
CoRR, 2020

Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.
CoRR, 2020

Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality.
IEEE Trans. Neural Networks Learn. Syst., 2019

Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension.
CoRR, 2019

Developing non-linear rate constant QSPR using decision trees and multi-gene genetic programming.
Comput. Chem. Eng., 2019

Using correlation based adaptive LASSO algorithm to develop QSPR of antitumour agents for DNA-drug binding prediction.
Comput. Chem. Eng., 2019

Generative Adversarial Minority Oversampling.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adaptive Learning-Based $k$ -Nearest Neighbor Classifiers With Resilience to Class Imbalance.
IEEE Trans. Neural Networks Learn. Syst., 2018

Fast automatic estimation of the number of clusters from the minimum inter-center distance for <i>k</i>-means clustering.
Pattern Recognit. Lett., 2018

Handling data irregularities in classification: Foundations, trends, and future challenges.
Pattern Recognit., 2018

Clustering with missing features: a penalized dissimilarity measure based approach.
Mach. Learn., 2018

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach.
CoRR, 2018

Generalized mean based back-propagation of errors for ambiguity resolution.
Pattern Recognit. Lett., 2017

A Radial Boundary Intersection aided interior point method for multi-objective optimization.
Inf. Sci., 2017

Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts.
CoRR, 2017

Tighter Einstein-Podolsky-Rosen steering inequality based on the sum uncertainty relation.
CoRR, 2017

On Boosting, Tug of War, and Lexicographic Programming.
CoRR, 2017

Hybrid genetic algorithm-decision tree approach for rate constant prediction using structures of reactants and solvent for Diels-Alder reaction.
Comput. Chem. Eng., 2017

A feature weighted penalty based dissimilarity measure for k-nearest neighbor classification with missing features.
Pattern Recognit. Lett., 2016

Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs.
Neural Networks, 2015

Rough-Fuzzy Collaborative Multi-level Image Thresholding: A Differential Evolution Approach.
Proceedings of the Mendel 2015, 2015

Electrooculogram Based Online Control Signal Generation for Wheelchair.
Proceedings of the International Symposium on Electronic System Design, 2012

Single channel electrooculogram(EOG) based interface for mobility aid.
Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, 2012