Pattern evaluation using polynomial regression- a clustering and probabilistic approach. - Asit Kumar Das; Jaya Sil (GrC, 2006)

A Probabilistic Approach on Association Rule-based Text Classifier System. - Asit Kumar Das; Jaya Sil; Mainak Mondal (IICAI, 2007)

An Efficient Classifier Design Integrating Rough Set and Graph Theory based Decision Forest. - Asit Kumar Das; Jaya Sil (IICAI, 2009)

Dimensionality Reduction and Optimum Feature Selection in Designing Efficient Classifiers. - Asit Kumar Das; Jaya Sil (SEMCCO, 2010)

An efficient classifier design integrating Rough Set and Dempster-Shafer Theory. - Asit Kumar Das; Jaya Sil (Int. J. Artif. Intell. Soft Comput., 2010)

Attribute Clustering and Dimensionality Reduction Based on In/Out Degree of Attributes in Dependency Graph. - Asit Kumar Das; Jaya Sil; Santanu Phadikar (SEMCCO (1), 2011)

An efficient classifier design integrating rough set and set oriented database operations. - Asit Kumar Das; Jaya Sil (Appl. Soft Comput., 2011)

Gene Selection and Classification Rule Generation for Microarray Dataset. - Soumen Kumar Pati; Asit Kumar Das (ACITY (3), 2012)

Region Identification of Infected Rice Images Using the Concept of Fermi Energy. - Santanu Phadikar; Jaya Sil; Asit Kumar Das (ACITY (2), 2012)

Reduct generation of microarray dataset using rough set and graph theory for unsupervised learning. - Asit Kumar Das; Soumen Kumar Pati; Saikat Chakrabarty (CCSEIT, 2012)

Gene Subset Selection for Cancer Classification Using Statsitical and Rough Set Approach. - Asit Kumar Das; Soumen Kumar Pati (SEMCCO, 2012)

Missing Value Estimation of Microarray Data Using Similarity Measurement. - Soumen Kumar Pati; Asit Kumar Das (SEMCCO, 2012)

Dimension Reduction Using Clustering Algorithm and Rough Set Theory. - Shampa Sengupta; Asit Kumar Das (SEMCCO, 2012)

Single Reduct Generation Based on Relative Indiscernibility of Rough Set Theory - Shampa Sengupta; Asit Kumar Das (CoRR, 2012)

Gene Selection Using Multi-objective Genetic Algorithm Integrating Cellular Automata and Rough Set Theory. - Soumen Kumar Pati; Asit Kumar Das; Arka Ghosh 001 (SEMCCO (2), 2013)

Selection of Graph-Based Features for Character Recognition Using Similarity Based Feature Dependency and Rough Set Theory. - Sunanda Das; Suvra Jyoti Choudhury; Asit Kumar Das; Jaya Sil (RAIT, 2014)

A Neighbourhood Based Hybrid Genetic Search Model for Feature Selection. - Sunanda Das; Arka Ghosh 001; Asit Kumar Das (SEMCCO, 2014)

Predicting Trends in the Twitter Social Network: A Machine Learning Approach. - Anubrata Das 001; Moumita Roy; Soumi Dutta; Saptarshi Ghosh 001; Asit Kumar Das (SEMCCO, 2014)

Sentiment Detection in Online Content: A WordNet Based Approach. - Soumi Dutta; Moumita Roy; Asit Kumar Das; Saptarshi Ghosh 001 (SEMCCO, 2014)

Simultaneous Feature Selection and Cluster Analysis Using Genetic Algorithm. - Sunanda Das; Shreya Chaudhuri; Sujata Ghatak; Asit Kumar Das (ICIT, 2016)

A noise resilient Differential Evolution with improved parameter and strategy control. - Arka Ghosh 001; Swagatam Das; Bijaya Ketan Panigrahi; Asit Kumar Das (CEC, 2017)

Optimal Set of Overlapping Clusters Using Multi-objective Genetic Algorithm. - Sunanda Das; Shreya Chaudhuri; Asit Kumar Das (ICMLC, 2017)

A Modified Differential Evolution With Distance-based Selection for Continuous Optimization in Presence of Noise. - Arka Ghosh 001; Swagatam Das; Rammohan Mallipeddi; Asit Kumar Das; Subhransu Sekhar Dash (IEEE Access, 2017)

A switched parameter differential evolution with optional blending crossover for scalable numerical optimization. - Arka Ghosh 001; Swagatam Das; Sankha Subhra Mullick; Rammohan Mallipeddi; Asit Kumar Das (Appl. Soft Comput., 2017)

Particle Swarm Optimization based incremental classifier design for rice disease prediction. - Shampa Sengupta; Asit Kumar Das (Comput. Electron. Agric., 2017)

Ensemble classifier design selecting important genes based on extracted features. - Soumen Kumar Pati; Asit Kumar Das (Int. J. Data Min. Bioinform., 2017)

Missing value estimation for microarray data through cluster analysis. - Soumen Kumar Pati; Asit Kumar Das (Knowl. Inf. Syst., 2017)

Ensemble feature selection using bi-objective genetic algorithm. - Asit Kumar Das; Sunanda Das; Arka Ghosh 001 (Knowl. Based Syst., 2017)

Feature Selection Based on Bi-objective Differential Evolution. - Sunanda Das; Chi-Chang Chang; Asit Kumar Das; Arka Ghosh 001 (J. Comput. Sci. Eng., 2017)

A Comparative Study on Different Versions of Multi-Objective Genetic Algorithm for Simultaneous Gene Selection and Sample Categorization. - Asit Kumar Das; Sunanda Das (Multi-Objective Optimization, 2018)

Bi-objective Genetic Algorithm with Rough Set Theory for Important Gene Selection in Disease Diagnosis. - Asit Kumar Das; Soumen Kumar Pati (Multi-Objective Optimization, 2018)

A Switched Parameter Differential Evolution with Multi-donor Mutation and Annealing Based Local Search for Optimization of Lennard-Jones Atomic Clusters. - Arka Ghosh 001; Rammohan Mallipeddi; Swagatam Das; Asit Kumar Das (CEC, 2018)

A Novel Graph Based Clustering Approach to Document Topic Modeling. - Prateek Chanda; Asit Kumar Das (ICCCNT, 2018)

A group incremental feature selection for classification using rough set theory based genetic algorithm. - Asit Kumar Das; Shampa Sengupta; Siddhartha Bhattacharyya (Appl. Soft Comput., 2018)

Ensemble Algorithms for Microblog Summarization. - Soumi Dutta; Vibhash Chandra; Kanav Mehra; Asit Kumar Das; Tanmoy Chakraborty 002; Saptarshi Ghosh 001 (IEEE Intell. Syst., 2018)

Probability Based Most Informative Gene Selection From Microarray Data. - Sunanda Das; Asit Kumar Das (Int. J. Rough Sets Data Anal., 2018)

Sparsity measure of a network graph: Gini index. - Swati Goswami; C. A. Murthy; Asit Kumar Das (Inf. Sci., 2018)

Cancer Classification by Gene Subset Selection from Microarray Dataset. - Asit Kumar Das; Soumen Kumar Pati; Hsien-Hung Huang; Chi-Ken Chen (J. Univers. Comput. Sci., 2018)

Attribute selection for improving spam classification in online social networks: a rough set theory-based approach. - Soumi Dutta; Sujata Ghatak; Ratnadeep Dey; Asit Kumar Das; Saptarshi Ghosh 001 (Soc. Netw. Anal. Min., 2018)

Application of Deep Learning Techniques on Document Classification. - Mainak Manna; Priyanka Das 002; Asit Kumar Das (ICCCI (1), 2019)

A Graph Based Clustering Approach for Relation Extraction From Crime Data. - Priyanka Das 002; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi; Weiping Ding 001 (IEEE Access, 2019)

Rough set based incremental crime report labelling in dynamic environment. - Priyanka Das 002; Asit Kumar Das (Appl. Soft Comput., 2019)

Clustering Model for Microblogging Sites using Dimension Reduction Techniques. - Soumi Dutta; Nilan Saha; Asit Kumar Das; Saptarshi Ghosh 001 (Int. J. Inf. Syst. Model. Des., 2019)

Graph-based clustering of extracted paraphrases for labelling crime reports. - Priyanka Das 002; Asit Kumar Das (Knowl. Based Syst., 2019)

One Sparse Perturbation to Fool them All, almost Always! - Arka Ghosh 001; Sankha Subhra Mullick; Shounak Datta; Swagatam Das; Rammohan Mallipeddi; Asit Kumar Das (CoRR, 2020)

Graph based feature selection investigating boundary region of rough set for language identification. - Ghazaala Yasmin; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi; Weiping Ding 001 (Expert Syst. Appl., 2020)

Relevant feature selection and ensemble classifier design using bi-objective genetic algorithm. - Asit Kumar Das; Soumen Kumar Pati; Arka Ghosh 001 (Knowl. Inf. Syst., 2020)

Feature selection generating directed rough-spanning tree for crime pattern analysis. - Priyanka Das 002; Asit Kumar Das; Janmenjoy Nayak (Neural Comput. Appl., 2020)

A framework for crime data analysis using relationship among named entities. - Priyanka Das 002; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi (Neural Comput. Appl., 2020)

Finding patterns in the degree distribution of real-world complex networks: going beyond power law. - Swarup Chattopadhyay; Asit Kumar Das; Kuntal Ghosh (Pattern Anal. Appl., 2020)

A simple two-phase differential evolution for improved global numerical optimization. - Arka Ghosh 001; Swagatam Das; Asit Kumar Das (Soft Comput., 2020)

Reusing the Past Difference Vectors in Differential Evolution - A Simple But Significant Improvement. - Arka Ghosh 001; Swagatam Das; Asit Kumar Das; Liang Gao 001 (IEEE Trans. Cybern., 2020)

Uncovering patterns in heavy-tailed networks : A journey beyond scale-free. - Swarup Chattopadhyay; Tanujit Chakraborty; Kuntal Ghosh; Asit Kumar Das (COMAD/CODS, 2021)

Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms. - Chirantana Mallick; Asit Kumar Das; Weiping Ding 001; Janmenjoy Nayak (Appl. Soft Comput., 2021)

Towards effective discovery of natural communities in complex networks and implications in e-commerce. - Swarup Chattopadhyay; Tanmay Basu; Asit Kumar Das; Kuntal Ghosh; Late C. A. Murthy (Electron. Commer. Res., 2021)

Nature inspired optimization and its application to engineering. - Janmenjoy Nayak; Bighnaraj Naik; Asit Kumar Das; Danilo Pelusi (Evol. Intell., 2021)

Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization. - Priyanka Das 002; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi; Weiping Ding 001 (Neurocomputing, 2021)

Incremental classifier in crime prediction using bi-objective Particle Swarm Optimization. - Priyanka Das 002; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi; Weiping Ding 001 (Inf. Sci., 2021)

Sparsity of weighted networks: Measures and applications. - Swati Goswami; Asit Kumar Das; Subhas C. Nandy (Inf. Sci., 2021)

Modified Lomax model: a heavy-tailed distribution for fitting large-scale real-world complex networks. - Swarup Chattopadhyay; Tanujit Chakraborty; Kuntal Ghosh; Asit Kumar Das (Soc. Netw. Anal. Min., 2021)

Graph based ensemble classification for crime report prediction. - Asit Kumar Das; Priyanka Das 002 (Appl. Soft Comput., 2022)

Graph-Based Text Summarization and Its Application on COVID-19 Twitter Data. - Ajit Kumar Das; Bhaavanaa Thumu; Apurba Sarkar; S. Vimal 001; Asit Kumar Das (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022)

Determining maximum cliques for community detection in weighted sparse networks. - Swati Goswami; Asit Kumar Das (Knowl. Inf. Syst., 2022)

A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers. - Arka Ghosh 001; Sankha Subhra Mullick; Shounak Datta; Swagatam Das; Asit Kumar Das; Rammohan Mallipeddi (Pattern Recognit., 2022)

Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution. - Arka Ghosh 001; Swagatam Das; Asit Kumar Das; Roman Senkerik; Adam Viktorin; Ivan Zelinka; Antonio David Masegosa (Swarm Evol. Comput., 2022)

An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images. - Weiping Ding 001; Shouvik Chakraborty; Kalyani Mali; Sankhadeep Chatterjee; Janmenjoy Nayak; Asit Kumar Das; Soumen Banerjee (IEEE Trans. Fuzzy Syst., 2022)

Key moment extraction for designing an agglomerative clustering algorithm-based video summarization framework. - Ghazaala Yasmin; Sujit Chowdhury; Janmenjoy Nayak; Priyanka Das 002; Asit Kumar Das (Neural Comput. Appl., 2023)

Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images. - Sankhadeep Chatterjee; Soumyajit Maity; Mayukh Bhattacharjee; Soumen Banerjee; Asit Kumar Das; Weiping Ding 001 (New Gener. Comput., 2023)

Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem. - Mehwish Naushin; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi (Axioms, 2023)

Class-biased sarcasm detection using BiLSTM variational autoencoder-based synthetic oversampling. - Sankhadeep Chatterjee; Saranya Bhattacharjee; Kushankur Ghosh; Asit Kumar Das; Soumen Banerjee (Soft Comput., 2023)

Correction to: Class-biased sarcasm detection using BiLSTM variational autoencoder-based synthetic oversampling. - Sankhadeep Chatterjee; Saranya Bhattacharjee; Kushankur Ghosh; Asit Kumar Das; Soumen Banerjee (Soft Comput., 2023)

Graph based fuzzy clustering algorithm for crime report labelling. - Aparna Pramanik; Asit Kumar Das; Weiping Ding 001 (Appl. Soft Comput., 2023)

Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis. - Ranit Kumar Dey; Asit Kumar Das (Multim. Tools Appl., 2023)

A Feature Ensemble Framework for Stock Market Forecasting Using Technical Analysis and Aquila Optimizer. - Asit Kumar Das; Debahuti Mishra; Kaberi Das; Kailash Chandra Mishra (IEEE Access, 2024)

Link Prediction for Social Networks using Representation Learning and Heuristic-based Features. - Samarth Khanna; Sree Bhattacharyya; Sudipto Ghosh 002; Kushagra Agarwal; Asit Kumar Das (CoRR, 2024)

Majority biased facial emotion recognition using residual variational autoencoders. - Sankhadeep Chatterjee; Soumyajit Maity; Kushankur Ghosh; Asit Kumar Das; Soumen Banerjee (Multim. Tools Appl., 2024)

Neighbour adjusted dispersive flies optimization based deep hybrid sentiment analysis framework. - Ranit Kumar Dey; Asit Kumar Das (Multim. Tools Appl., 2024)

Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning. - Sankhadeep Chatterjee; Saranya Bhattacharjee; Asit Kumar Das; Soumen Banerjee (Mach. Learn., 2024)