Supervised learning Methods for Bangla Web Document Categorization. - Ashis Kumar Mandal; Rikta Sen (CoRR, 2014)

Binary Owl Search Algorithm for Feature Subset Selection. - Ashis Kumar Mandal; Rikta Sen; Basabi Chakraborty (iCAST, 2019)

A Comparative Study of the Stability of Filter based Feature Selection Algorithms. - Rikta Sen; Ashis Kumar Mandal; Saptarsi Goswami; Basabi Chakraborty (iCAST, 2019)

All-Optical DFT Using TOAD-Based Cross-Bar Switches. - Ashis Kumar Mandal (J. Circuits Syst. Comput., 2019)

Addressing Examination Timetabling Problem Using a Partial Exams Approach in Constructive and Improvement. - Ashis Kumar Mandal; Mohd Nizam Mohmad Kahar; Graham Kendall (Comput., 2020)

Performance Analysis of Extended Lustgarten Index for Stability of Feature Selection. - Rikta Sen; Ashis Kumar Mandal; Basabi Chakraborty (SOLI, 2021)

Feature selection in classification using self-adaptive owl search optimization algorithm with elitism and mutation strategies. - Ashis Kumar Mandal; Rikta Sen; Basabi Chakraborty (J. Intell. Fuzzy Syst., 2021)

A Critical Study on Stability Measures of Feature Selection with a Novel Extension of Lustgarten Index. - Rikta Sen; Ashis Kumar Mandal; Basabi Chakraborty (Mach. Learn. Knowl. Extr., 2021)

Comparative Study of Univariate and Multivariate Long Short-Term Memory for Very Short-Term Forecasting of Global Horizontal Irradiance. - Ashis Kumar Mandal; Rikta Sen; Saptarsi Goswami; Basabi Chakraborty (Symmetry, 2021)

An effective feature subset selection approach based on Jeffries-Matusita distance for multiclass problems. - Rikta Sen; Saptarsi Goswami; Ashis Kumar Mandal; Basabi Chakraborty (J. Intell. Fuzzy Syst., 2022)

Study on Development of Feature Subset Selection Algorithms using Metaheuristic and Quantum Computing. - Ashis Kumar Mandal (2022)

Quantum-Inspired Owl Search Algorithm with Ensembles of Filter Methods for Gene Subset Selection from Microarray Data. - Ashis Kumar Mandal; Rikta Sen; Basabi Chakraborty (Int. J. Pattern Recognit. Artif. Intell., 2023)

Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction. - Ashis Kumar Mandal; Md. Nadim; Chanchal K. Roy; Banani Roy; Kevin A. Schneider (QCE, 2024)

Feature Subset Selection for High-Dimensional, Low Sampling Size Data Classification Using Ensemble Feature Selection With a Wrapper-Based Search. - Ashis Kumar Mandal; Md. Nadim; Hasi Saha; Tangina Sultana; Md. Delowar Hossain; Eui-Nam Huh (IEEE Access, 2024)

Medium-Term AQI Prediction in Selected Areas of Bangladesh Based on Bidirectional GRU Network Model. - Ashis Kumar Mandal; Rikta Sen (SN Comput. Sci., 2024)

Quantum Vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities. - Md. Nadim; Mohammad Hassan; Ashis Kumar Mandal; Chanchal K. Roy (Q-SE, 2025)

Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study. - Md. Nadim; Mohammad Hassan; Ashis Kumar Mandal; Chanchal K. Roy; Banani Roy; Kevin A. Schneider (CoRR, 2025)

Quantum computing and quantum-inspired techniques for feature subset selection: a review. - Ashis Kumar Mandal; Basabi Chakraborty (Knowl. Inf. Syst., 2025)

Quantum software engineering and potential of quantum computing in software engineering research: a review. - Ashis Kumar Mandal; Md. Nadim; Chanchal K. Roy; Banani Roy; Kevin A. Schneider (Autom. Softw. Eng., 2025)

Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study. - Md. Nadim; Mohammad Mahdi Hassan; Ashis Kumar Mandal; Chanchal K. Roy; Banani Roy; Kevin A. Schneider (Quantum Mach. Intell., 2025)