Asit Kumar Das

Orcid: 0000-0002-9886-1735

According to our database1, Asit Kumar Das authored at least 77 papers between 2006 and 2024.

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Bibliography

2024
Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning.
Mach. Learn., October, 2024

Neighbour adjusted dispersive flies optimization based deep hybrid sentiment analysis framework.
Multim. Tools Appl., July, 2024

Majority biased facial emotion recognition using residual variational autoencoders.
Multim. Tools Appl., February, 2024

Link Prediction for Social Networks using Representation Learning and Heuristic-based Features.
CoRR, 2024

2023
Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis.
Multim. Tools Appl., September, 2023

Graph based fuzzy clustering algorithm for crime report labelling.
Appl. Soft Comput., July, 2023

Correction to: Class-biased sarcasm detection using BiLSTM variational autoencoder-based synthetic oversampling.
Soft Comput., May, 2023

Class-biased sarcasm detection using BiLSTM variational autoencoder-based synthetic oversampling.
Soft Comput., May, 2023

Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem.
Axioms, April, 2023

Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images.
New Gener. Comput., March, 2023

Key moment extraction for designing an agglomerative clustering algorithm-based video summarization framework.
Neural Comput. Appl., March, 2023

2022
An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images.
IEEE Trans. Fuzzy Syst., 2022

Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution.
Swarm Evol. Comput., 2022

A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers.
Pattern Recognit., 2022

Determining maximum cliques for community detection in weighted sparse networks.
Knowl. Inf. Syst., 2022

Graph-Based Text Summarization and Its Application on COVID-19 Twitter Data.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022

Graph based ensemble classification for crime report prediction.
Appl. Soft Comput., 2022

2021
Modified Lomax model: a heavy-tailed distribution for fitting large-scale real-world complex networks.
Soc. Netw. Anal. Min., 2021

Sparsity of weighted networks: Measures and applications.
Inf. Sci., 2021

Incremental classifier in crime prediction using bi-objective Particle Swarm Optimization.
Inf. Sci., 2021

Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization.
Neurocomputing, 2021

Nature inspired optimization and its application to engineering.
Evol. Intell., 2021

Towards effective discovery of natural communities in complex networks and implications in e-commerce.
Electron. Commer. Res., 2021

Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms.
Appl. Soft Comput., 2021

Uncovering patterns in heavy-tailed networks : A journey beyond scale-free.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020
Reusing the Past Difference Vectors in Differential Evolution - A Simple But Significant Improvement.
IEEE Trans. Cybern., 2020

A simple two-phase differential evolution for improved global numerical optimization.
Soft Comput., 2020

Finding patterns in the degree distribution of real-world complex networks: going beyond power law.
Pattern Anal. Appl., 2020

A framework for crime data analysis using relationship among named entities.
Neural Comput. Appl., 2020

Feature selection generating directed rough-spanning tree for crime pattern analysis.
Neural Comput. Appl., 2020

Relevant feature selection and ensemble classifier design using bi-objective genetic algorithm.
Knowl. Inf. Syst., 2020

Graph based feature selection investigating boundary region of rough set for language identification.
Expert Syst. Appl., 2020

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

2019
Graph-based clustering of extracted paraphrases for labelling crime reports.
Knowl. Based Syst., 2019

Clustering Model for Microblogging Sites using Dimension Reduction Techniques.
Int. J. Inf. Syst. Model. Des., 2019

Rough set based incremental crime report labelling in dynamic environment.
Appl. Soft Comput., 2019

A Graph Based Clustering Approach for Relation Extraction From Crime Data.
IEEE Access, 2019

Application of Deep Learning Techniques on Document Classification.
Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

2018
Attribute selection for improving spam classification in online social networks: a rough set theory-based approach.
Soc. Netw. Anal. Min., 2018

Cancer Classification by Gene Subset Selection from Microarray Dataset.
J. Univers. Comput. Sci., 2018

Sparsity measure of a network graph: Gini index.
Inf. Sci., 2018

Probability Based Most Informative Gene Selection From Microarray Data.
Int. J. Rough Sets Data Anal., 2018

Ensemble Algorithms for Microblog Summarization.
IEEE Intell. Syst., 2018

A group incremental feature selection for classification using rough set theory based genetic algorithm.
Appl. Soft Comput., 2018

A Novel Graph Based Clustering Approach to Document Topic Modeling.
Proceedings of the 9th International Conference on Computing, 2018

A Switched Parameter Differential Evolution with Multi-donor Mutation and Annealing Based Local Search for Optimization of Lennard-Jones Atomic Clusters.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Bi-objective Genetic Algorithm with Rough Set Theory for Important Gene Selection in Disease Diagnosis.
Proceedings of the Multi-Objective Optimization - Evolutionary to Hybrid Framework, 2018

A Comparative Study on Different Versions of Multi-Objective Genetic Algorithm for Simultaneous Gene Selection and Sample Categorization.
Proceedings of the Multi-Objective Optimization - Evolutionary to Hybrid Framework, 2018

2017
Feature Selection Based on Bi-objective Differential Evolution.
J. Comput. Sci. Eng., December, 2017

Ensemble feature selection using bi-objective genetic algorithm.
Knowl. Based Syst., 2017

Missing value estimation for microarray data through cluster analysis.
Knowl. Inf. Syst., 2017

Ensemble classifier design selecting important genes based on extracted features.
Int. J. Data Min. Bioinform., 2017

Particle Swarm Optimization based incremental classifier design for rice disease prediction.
Comput. Electron. Agric., 2017

A switched parameter differential evolution with optional blending crossover for scalable numerical optimization.
Appl. Soft Comput., 2017

A Modified Differential Evolution With Distance-based Selection for Continuous Optimization in Presence of Noise.
IEEE Access, 2017

Optimal Set of Overlapping Clusters Using Multi-objective Genetic Algorithm.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

A noise resilient Differential Evolution with improved parameter and strategy control.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Simultaneous Feature Selection and Cluster Analysis Using Genetic Algorithm.
Proceedings of the 2016 International Conference on Information Technology, 2016

2014
Sentiment Detection in Online Content: A WordNet Based Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Predicting Trends in the Twitter Social Network: A Machine Learning Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

A Neighbourhood Based Hybrid Genetic Search Model for Feature Selection.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Selection of Graph-Based Features for Character Recognition Using Similarity Based Feature Dependency and Rough Set Theory.
Proceedings of the Recent Advances in Information Technology, 2014

2013
Gene Selection Using Multi-objective Genetic Algorithm Integrating Cellular Automata and Rough Set Theory.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

2012
Single Reduct Generation Based on Relative Indiscernibility of Rough Set Theory
CoRR, 2012

Dimension Reduction Using Clustering Algorithm and Rough Set Theory.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Missing Value Estimation of Microarray Data Using Similarity Measurement.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Gene Subset Selection for Cancer Classification Using Statsitical and Rough Set Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Reduct generation of microarray dataset using rough set and graph theory for unsupervised learning.
Proceedings of the Second International Conference on Computational Science, 2012

Region Identification of Infected Rice Images Using the Concept of Fermi Energy.
Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012

Gene Selection and Classification Rule Generation for Microarray Dataset.
Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012

2011
An efficient classifier design integrating rough set and set oriented database operations.
Appl. Soft Comput., 2011

Attribute Clustering and Dimensionality Reduction Based on In/Out Degree of Attributes in Dependency Graph.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

2010
An efficient classifier design integrating Rough Set and Dempster-Shafer Theory.
Int. J. Artif. Intell. Soft Comput., 2010

Dimensionality Reduction and Optimum Feature Selection in Designing Efficient Classifiers.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

2009
An Efficient Classifier Design Integrating Rough Set and Graph Theory based Decision Forest.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

2007
A Probabilistic Approach on Association Rule-based Text Classifier System.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

2006
Pattern evaluation using polynomial regression- a clustering and probabilistic approach.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006


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