According to our database1, Shounak Datta authored at least 30 papers between 2012 and 2021.
Legend:Book In proceedings Article PhD thesis Other
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach.
IEEE Trans. Cybern., 2021
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
RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure.
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.
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.
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
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
Mach. Learn., 2018
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach.
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.
Tighter Einstein-Podolsky-Rosen steering inequality based on the sum uncertainty relation.
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
Proceedings of the International Symposium on Electronic System Design, 2012
Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, 2012