An Analysis of Non-Binary Genetic Algorithms with Cardinality 2υ. - Siddhartha Bhattacharyya; Gary J. Koehler (Complex Syst., 1994)

General Cardinality Genetic Algorithms. - Gary J. Koehler; Michael D. Vose; Siddhartha Bhattacharyya (Evol. Comput., 1997)

Direct Marketing Response Models Using Genetic Algorithms. - Siddhartha Bhattacharyya (KDD, 1998)

Genetic learning through simulation: An investigation in shop floor scheduling. - Haldun Aytug; Siddhartha Bhattacharyya; Gary J. Koehler (Ann. Oper. Res., 1998)

Combining rules learnt using genetic algorithms for financial forecasting. - Kumar Mehta; Siddhartha Bhattacharyya (CEC, 1999)

Direct Marketing Performance Modeling Using Genetic Algorithms. - Siddhartha Bhattacharyya (INFORMS J. Comput., 1999)

Crossover in Probability Spaces. - Siddhartha Bhattacharyya; Marvin D. Troutt (GECCO, 2000)

Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing. - Siddhartha Bhattacharyya (KDD, 2000)

Fault tolerant permutation mapping in multistage interconnection network. - Ujjwal Maulik; Sanghamitra Bandyopadhyay; Siddhartha Bhattacharyya (J. Syst. Archit., 2000)

Task-Structure Analysis: A Modularized Approach for Modeling Knowledge Intensive Processes. - Roman M. Wong; Siddhartha Bhattacharyya (HICSS, 2002)

Knowledge-intensive genetic discovery in foreign exchange markets . - Siddhartha Bhattacharyya; Olivier V. Pictet; Gilles Zumbach (IEEE Trans. Evol. Comput., 2002)

Special issue introduction. - Siddhartha Bhattacharyya; Gary J. Koehler (Decis. Support Syst., 2003)

Genetic search over probability spaces. - Siddhartha Bhattacharyya; Marvin D. Troutt (Eur. J. Oper. Res., 2003)

A discrete event systems approach to network fault management: detection & diagnosis of faults. - Siddhartha Bhattacharyya; Zhongdong Huang; Vigs Chandra; Ratnesh Kumar 001 (ACC, 2004)

Diagnosis of discrete event systems in rules-based model using first-order linear temporal logic. - Zhongdong Huang; Siddhartha Bhattacharyya; Vigs Chandra; Shengbing Jiang; Ratnesh Kumar 001 (ACC, 2004)

Topology, Search, and Fault Tolerance in Unstructured P2P Networks. - Kedar Samant; Siddhartha Bhattacharyya (HICSS, 2004)

Adequacy of training data for evolutionary mining of trading rules. - Kumar Mehta; Siddhartha Bhattacharyya (Decis. Support Syst., 2004)

Genetic programming in classifying large-scale data: an ensemble method. - Yifeng Zhang 002; Siddhartha Bhattacharyya (Inf. Sci., 2004)

Hybrid-model based hierarchical mission control architecture for autonomous underwater vehicles. - Sekhar Tangirala; Ratnesh Kumar 001; Siddhartha Bhattacharyya; M. O'Connor; Lawrence E. Holloway (ACC, 2005)

Design, development and validation of an agent-based model of electronic auctions. - Kumar Mehta; Siddhartha Bhattacharyya (Inf. Technol. Manag., 2006)

Effectiveness of Q-learning as a tool for calibrating agent-based supply network models. - Yifeng Zhang 002; Siddhartha Bhattacharyya (Enterp. Inf. Syst., 2007)

Binary object extraction using bi-directional self-organizing neural network (BDSONN) architecture with fuzzy context sensitive thresholding. - Siddhartha Bhattacharyya; Paramartha Dutta; Ujjwal Maulik (Pattern Anal. Appl., 2007)

A Leader-Follower Computational Learning Approach to the Study of Restructured Electricity Markets: Investigating Price Caps. - Kurian K. Tharakunnel; Siddhartha Bhattacharyya (HICSS, 2008)

Finding seller quality and quality sellers in online markets: an agent-based analysis. - Doug Lundquist; Siddhartha Bhattacharyya (Int. J. Electron. Bus., 2008)

High-speed target tracking by fuzzy hostility-induced segmentation of optical flow field. - Siddhartha Bhattacharyya; Ujjwal Maulik; Paramartha Dutta (Appl. Soft Comput., 2009)

Information Sharing Strategies in Business-to-Business E-Hubs: An Agent-Based Study. - Yifeng Zhang 002; Siddhartha Bhattacharyya (Int. J. Intell. Inf. Technol., 2010)

From Choice of Procurement Strategy to Supply Network Configuration: an Evolutionary Approach. - Yifeng Zhang 002; Siddhartha Bhattacharyya; Xiaoming Li 011 (Int. J. Inf. Technol. Decis. Mak., 2010)

Analysis of B2B e-marketplaces: an operations perspective. - Yifeng Zhang 002; Siddhartha Bhattacharyya (Inf. Syst. E Bus. Manag., 2010)

Social creativity as a function of agent cognition and network properties: A computer model. - Siddhartha Bhattacharyya; Stellan Ohlsson (Soc. Networks, 2010)

Predictive Modeling on Multiple Marketing Objectives Using Evolutionary Computation. - Siddhartha Bhattacharyya (Marketing Intelligent Systems Using Soft Computing, 2010)

How Network Structure Affects Social Creativity. - Siddhartha Bhattacharyya; Stellan Ohlsson (SocialCom/PASSAT, 2011)

Multilevel image segmentation with adaptive image context based thresholding. - Siddhartha Bhattacharyya; Ujjwal Maulik; Paramartha Dutta (Appl. Soft Comput., 2011)

Data mining for credit card fraud: A comparative study. - Siddhartha Bhattacharyya; Sanjeev Jha; Kurian K. Tharakunnel; J. Christopher Westland (Decis. Support Syst., 2011)

Efficient grey-level image segmentation using an optimised MUSIG (OptiMUSIG) activation function. - Sourav De; Siddhartha Bhattacharyya; Paramartha Dutta (Int. J. Parallel Emergent Distributed Syst., 2011)

Opening the Social Media Black Box - a Feature-Based Approach. - Iván Alfaro; Siddhartha Bhattacharyya; John Highlander; Surakshith Mayur Sampath; Mary Beth Watson-Manheim (ECIS, 2012)

Color image segmentation using parallel OptiMUSIG activation function. - Sourav De; Siddhartha Bhattacharyya; Susanta Chakraborty (Appl. Soft Comput., 2012)

Feature Based Fuzzy Rule Base Design for Image Extraction - Koushik Mondal; Paramartha Dutta; Siddhartha Bhattacharyya (CoRR, 2012)

Gray Image extraction using Fuzzy Logic - Koushik Mondal; Paramartha Dutta; Siddhartha Bhattacharyya (CoRR, 2012)

A parallel bi-directional self-organizing neural network (PBDSONN) architecture for color image extraction and segmentation. - Siddhartha Bhattacharyya; Ujjwal Maulik; Paramartha Dutta (Neurocomputing, 2012)

An Unsupervised Video Shot Boundary Detection Technique Using Fuzzy Entropy Estimation of Video Content. - Biswanath Chakraborty; Siddhartha Bhattacharyya; Paramartha Dutta (Handbook of Soft Computing for Video Surveillance, 2012)

Soft Computing for Image and Multimedia Data Processing - Siddhartha Bhattacharyya; Ujjwal Maulik (Springer, 2013)

Organizational Adoption Of Social Media In The Usa: A Mixed Method Approach. - Iván Alfaro; Siddhartha Bhattacharyya; Mary Beth Watson-Manheim (ECIS, 2013)

New quantum inspired meta-heuristic methods for multi-level thresholding. - Sandip Dey; Indrajit Saha; Ujjwal Maulik; Siddhartha Bhattacharyya (ICACCI, 2013)

Confidence in predictions from random tree ensembles. - Siddhartha Bhattacharyya (Knowl. Inf. Syst., 2013)

Empirical analysis of implicit brand networks on social media. - Kunpeng Zhang; Siddhartha Bhattacharyya; Sudha Ram (HT, 2014)

Towards redundancy reduction in storyboard representation for static video summarization. - Hrishikesh Bhaumik; Siddhartha Bhattacharyya; Surajit Dutta; Susanta Chakraborty (ICACCI, 2014)

Binary image denoising using a quantum multilayer self organizing neural network. - Siddhartha Bhattacharyya; Pankaj Pal; Sandip Bhowmick (Appl. Soft Comput., 2014)

Multi-level thresholding using quantum inspired meta-heuristics. - Sandip Dey; Indrajit Saha; Siddhartha Bhattacharyya; Ujjwal Maulik (Knowl. Based Syst., 2014)

Quantum inspired genetic algorithm and particle swarm optimization using chaotic map model based interference for gray level image thresholding. - Sandip Dey; Siddhartha Bhattacharyya; Ujjwal Maulik (Swarm Evol. Comput., 2014)

Dissolve detection in videos using an ensemble approach. - Hrishikesh Bhaumik; Siddhartha Bhattacharyya; Manideepa Chakraborty; Susanta Chakraborty (ICACCI, 2015)

A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) for binary image denoising. - Debanjan Konar; Siddhartha Bhattacharyya; Nibaran Das; Bijaya Ketan Panigrahi (ICACCI, 2015)

A quantum backpropagation multilayer perceptron (QBMLP) for predicting iron adsorption capacity of calcareous soil from aqueous solution. - Siddhartha Bhattacharyya; Siddhartha Bhattacharjee; Naba Kumar Mondal (Appl. Soft Comput., 2015)

Hybrid Soft Computing for Multilevel Image and Data Segmentation - Sourav De; Siddhartha Bhattacharyya; Susanta Chakraborty; Paramartha Dutta (Springer, 2016)

A quantum parallel bi-directional self-organizing neural network (QPBDSONN) architecture for extraction of pure color objects from noisy background. - Debanjan Konar; Udit Kr. Chakraborty; Siddhartha Bhattacharyya; Tapan Kumar Gandhi; Bijaya Ketan Panigrahi (ICACCI, 2016)

Preface. - Siddhartha Bhattacharyya; Paramartha Dutta; Ujjwal Maulik (Appl. Soft Comput., 2016)

Hybrid soft computing approaches to content based video retrieval: A brief review. - Hrishikesh Bhaumik; Siddhartha Bhattacharyya; Mausumi Das Nath; Susanta Chakraborty (Appl. Soft Comput., 2016)

Automatic magnetic resonance image segmentation by fuzzy intercluster hostility index based genetic algorithm: An application. - Sourav De; Siddhartha Bhattacharyya; Paramartha Dutta (Appl. Soft Comput., 2016)

New quantum inspired meta-heuristic techniques for multi-level colour image thresholding. - Sandip Dey; Siddhartha Bhattacharyya; Ujjwal Maulik (Appl. Soft Comput., 2016)

A quantum bi-directional self-organizing neural network (QBDSONN) architecture for binary object extraction from a noisy perspective. - Debanjan Konar; Siddhartha Bhattacharyya; Bijaya Ketan Panigrahi; Kazumi Nakamatsu (Appl. Soft Comput., 2016)

Large-Scale Network Analysis for Online Social Brand Advertising. - Kunpeng Zhang; Siddhartha Bhattacharyya; Sudha Ram (MIS Q., 2016)

Real-time server overloaded monitoring algorithm using back propagation artificial neural network. - Jongouk Choi; Chi Shen; Jens Hannemann; Siddhartha Bhattacharyya (CCWC, 2017)

Efficient quantum inspired meta-heuristics for multi-level true colour image thresholding. - Sandip Dey; Siddhartha Bhattacharyya; Ujjwal Maulik (Appl. Soft Comput., 2017)

Content-based image retrieval based on multiple extended fuzzy-rough framework. - Seikh Mazharul Islam; Minakshi Banerjee; Siddhartha Bhattacharyya; Susanta Chakraborty (Appl. Soft Comput., 2017)

An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system. - Debanjan Konar; Siddhartha Bhattacharyya; Kalpana Sharma; Sital Sharma; Sri Raj Pradhan (Appl. Soft Comput., 2017)

Large Scale Online Brand Networks to Study Brand Effects. - Pankhuri Malhotra; Siddhartha Bhattacharyya (AAAI Workshops, 2018)

Inferring Brand Knowledge from Online Consumer Associative Brand Networks. - Minghong Xu; Siddhartha Bhattacharyya (AAAI Workshops, 2018)

Swarming Behaviors of Chicken for Predicting Posts on Facebook Branding Pages. - Khaled Ahmed 001; Aboul Ella Hassanien; Ehab Ezzat; Siddhartha Bhattacharyya (AMLTA, 2018)

Comparative Sentiment Analysis on a Set of Movie Reviews Using Deep Learning Approach. - Koyel Chakraborty; Siddhartha Bhattacharyya; Rajib Bag; Aboul Ella Hassanien (AMLTA, 2018)

Simulated Annealing Based Quantum Inspired Automatic Clustering Technique. - Alokananda Dey; Sandip Dey; Siddhartha Bhattacharyya; Václav Snásel; Aboul Ella Hassanien (AMLTA, 2018)

Quantum Spider Monkey Optimization (QSMO) Algorithm for Automatic Gray-Scale Image Clustering. - Siddhartha Bhattacharyya; Václav Snásel; Alokananda Dey; Sandip Dey; Debanjan Konar (ICACCI, 2018)

Formal Assurance for Cooperative Intelligent Autonomous Agents. - Siddhartha Bhattacharyya; Thomas C. Eskridge; Natasha A. Neogi; Marco M. Carvalho; Milton Stafford (NFM, 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)

Chaotic crow search algorithm for fractional optimization problems. - Rizk Masoud Rizk-Allah; Aboul Ella Hassanien; Siddhartha Bhattacharyya (Appl. Soft Comput., 2018)

Generative Model Based Video Shot Boundary Detection for Automated Surveillance. - Biswanath Chakraborty; Siddhartha Bhattacharyya; Susanta Chakraborty (Int. J. Ambient Comput. Intell., 2018)

Data Augmentation and Feature Fusion for Melanoma Detection with Content Based Image Classification. - Rik Das; Sourav De; Siddhartha Bhattacharyya; Jan Platos; Václav Snásel; Aboul Ella Hassanien (AMLTA, 2019)

Automatic Clustering of Hyperspectral Images Using Qutrit Based Particle Swarm Optimization. - Tulika Dutta; Sandip Dey; Siddhartha Bhattacharyya (DoSIER, 2019)

Patient-Specific Seizure Prediction Using the Convolutional Neural Networks. - Ranjan Jana; Siddhartha Bhattacharyya; Swagatam Das (DoSIER, 2019)

Towards a Framework for Performance Testing of Metaheuristics. - Ashish Mani; Nija Mani; Siddhartha Bhattacharyya (DoSIER, 2019)

QIBDS Net: A Quantum-Inspired Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Bijaya Ketan Panigrahi (PReMI (2), 2019)

Epileptic Seizure Prediction from EEG Signals Using DenseNet. - Ranjan Jana; Siddhartha Bhattacharyya; Swagatam Das (SSCI, 2019)

A Novel Qutrit Based Quantum Ant Colony Optimization for Multi-level Thresholding. - Siddhartha Bhattacharyya; Sandip Dey; Debanjan Konar (TENCON, 2019)

Opti-QIBDS Net: A Quantum-Inspired Optimized Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Sandip Dey; Bijaya Ketan Panigrahi (TENCON, 2019)

Assurance for CyberSecurity with Assume-Guarantee Reasoning. - Ali Alfageeh; Siddhartha Bhattacharyya; Samuel J. Perl; Milankumar Patel (UEMCON, 2019)

Formal Trust Architecture for Assuring Trusted Interactions in the Internet of Things. - Milankumar Patel; Siddhartha Bhattacharyya; Ali Alfageeh (UEMCON, 2019)

Assembling translations from multi-engine machine translation outputs. - Debajyoty Banik; Asif Ekbal; Pushpak Bhattacharyya; Siddhartha Bhattacharyya (Appl. Soft Comput., 2019)

A vague set approach for identifying shot transition in videos using multiple feature amalgamation. - Hrishikesh Bhaumik; Siddhartha Bhattacharyya; Susanta Chakraborty (Appl. Soft Comput., 2019)

Swarm selection method for multilevel thresholding image segmentation. - Mohamed E. Abd Elaziz; Siddhartha Bhattacharyya; Songfeng Lu (Expert Syst. Appl., 2019)

Enhancement of dronogram aid to visual interpretation of target objects via intuitionistic fuzzy hesitant sets. - Biswajit Biswas; Siddhartha Bhattacharyya; Jan Platos; Václav Snásel (Inf. Sci., 2019)

Information Networks to Derive Value from Social Media. - Pankhuri Malhotra; Siddhartha Bhattacharyya; Keran Zhao (AMCIS, 2020)

Multilevel Quantum Inspired Fractional Order Ant Colony Optimization for Automatic Clustering of Hyperspectral Images. - Siddhartha Bhattacharyya; Tulika Dutta; Sandip Dey (CEC, 2020)

Formal Compositional Reasoning of Autonomous Aerial Systems with Complex Algorithms. - Milton Stafford; Siddhartha Bhattacharyya; Matthew Clark; Natasha A. Neogi (SysCon, 2020)

Border Collie Optimization. - Tulika Dutta; Siddhartha Bhattacharyya; Sandip Dey; Jan Platos (IEEE Access, 2020)

Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans. - Ahmed M. Anter; Siddhartha Bhattacharyya; Zhiguo Zhang 001 (Appl. Soft Comput., 2020)

Colonoscopy contrast-enhanced by intuitionistic fuzzy soft sets for polyp cancer localization. - Biswajit Biswas; Siddhartha Bhattacharyya; Amlan Chakrabarti; Kashi Nath Dey; Jan Platos; Václav Snásel (Appl. Soft Comput., 2020)

Chest X-ray enhancement to interpret pneumonia malformation based on fuzzy soft set and Dempster-Shafer theory of evidence. - Biswajit Biswas; Swarup Kr Ghosh; Siddhartha Bhattacharyya; Jan Platos; Václav Snásel; Amlan Chakrabarti (Appl. Soft Comput., 2020)

Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers - A study to show how popularity is affecting accuracy in social media. - Koyel Chakraborty; Surbhi Bhatia; Siddhartha Bhattacharyya; Jan Platos; Rajib Bag; Aboul Ella Hassanien (Appl. Soft Comput., 2020)

Novel quantum inspired approaches for automatic clustering of gray level images using Particle Swarm Optimization, Spider Monkey Optimization and Ageist Spider Monkey Optimization algorithms. - Alokananda Dey; Sandip Dey; Siddhartha Bhattacharyya; Jan Platos; Václav Snásel (Appl. Soft Comput., 2020)

A Quantum-Inspired Self-Supervised Network model for automatic segmentation of brain MR images. - Debanjan Konar; Siddhartha Bhattacharyya; Tapan Kumar Gandhi; Bijaya Ketan Panigrahi (Appl. Soft Comput., 2020)

Unconstrained texture classification using efficient jet texton learning. - Swalpa Kumar Roy; Dipak Kumar Ghosh; Shiv Ram Dubey; Siddhartha Bhattacharyya; Bidyut B. Chaudhuri (Appl. Soft Comput., 2020)

Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions. - Pranav Kairon; Siddhartha Bhattacharyya (CoRR, 2020)

Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Bijaya K. Panigrahi; Elizabeth Behrman (CoRR, 2020)

A Survey of Sentiment Analysis from Social Media Data. - Koyel Chakraborty; Siddhartha Bhattacharyya; Rajib Bag (IEEE Trans. Comput. Soc. Syst., 2020)

Lightweight Spectral-Spatial Squeeze-and- Excitation Residual Bag-of-Features Learning for Hyperspectral Classification. - Swalpa Kumar Roy; Subhrasankar Chatterjee; Siddhartha Bhattacharyya; Bidyut B. Chaudhuri; Jan Platos (IEEE Trans. Geosci. Remote. Sens., 2020)

Graph Neural Network for Customer Engagement Prediction on Social Media Platforms. - Tengteng Ma; Yuheng Hu; Yingda Lu; Siddhartha Bhattacharyya (HICSS, 2021)

Machine Learning with System/Software Engineering in Selection and Integration of Intelligent Algorithms. - Jasser Alharbi; Siddhartha Bhattacharyya (SysCon, 2021)

Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network. - Debanjan Konar; Bijaya K. Panigrahi; Siddhartha Bhattacharyya; Nilanjan Dey; Richard Jiang 001 (IEEE Access, 2021)

Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach. - Akhilesh Kumar Sharma; Gaurav Aggarwal; Sachit Bhardwaj; Prasun Chakrabarti; Tulika Chakrabarti; Jemal H. Abawajy; Siddhartha Bhattacharyya; Richa Mishra; Anirban Das; Hairulnizam Mahdin (IEEE Access, 2021)

ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions. - Abidhan Bardhan; Pijush Samui; Kuntal Ghosh; Amir H. Gandomi; Siddhartha Bhattacharyya (Appl. Soft Comput., 2021)

Quantum fractional order Darwinian particle swarm optimization for hyperspectral multi-level image thresholding. - Tulika Dutta; Sandip Dey; Siddhartha Bhattacharyya; Somnath Mukhopadhyay (Appl. Soft Comput., 2021)

Assuring Increasingly Autonomous Systems in Human-Machine Teams: An Urban Air Mobility Case Study. - Siddhartha Bhattacharyya; Jennifer A. Davis; Anubhav Gupta 003; Nandith Narayan; Michael Matessa (FMAS, 2021)

Taste Transitivity for Collaborative Filtering: A Stochastic Network Dynamics Approach. - Minghong Xu; Siddhartha Bhattacharyya (Decis. Sci., 2021)

Hyperspectral multi-level image thresholding using qutrit genetic algorithm. - Tulika Dutta; Sandip Dey; Siddhartha Bhattacharyya; Somnath Mukhopadhyay; Prasun Chakrabarti (Expert Syst. Appl., 2021)

DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments. - Salman Khan 004; Khan Muhammad 001; Tanveer Hussain; Javier Del Ser; Fabio Cuzzolin; Siddhartha Bhattacharyya; Zahid Akhtar; Victor Hugo C. de Albuquerque (Expert Syst. Appl., 2021)

Quantum inspired meta-heuristic approaches for automatic clustering of colour images. - Alokananda Dey; Sandip Dey; Siddhartha Bhattacharyya; Jan Platos; Václav Snásel (Int. J. Intell. Syst., 2021)

Assurance for Integrating Advanced Algorithms in Autonomous Safety-Critical Systems. - Milton Stafford; Siddhartha Bhattacharyya; Matthew Clark; Natasha A. Neogi; Thomas C. Eskridge (IEEE Syst. J., 2021)

Assuring Intelligent Systems: Contingency Management for UAS. - Natasha A. Neogi; Siddhartha Bhattacharyya; Daniel Griessler; Harshitha Kiran; Marco M. Carvalho (IEEE Trans. Intell. Transp. Syst., 2021)

Social Media vs. News Platforms: A Cross-analysis for Fake News Detection Using Web Scraping and NLP. - Fahad Alsuliman; Siddhartha Bhattacharyya; Khaled Slhoub; Nasheen Nur; Candice Normalee Chambers (PETRA, 2022)

Evaluating the Influence of Twitter Bots via Agent-Based Social Simulation. - Aldo Averza; Khaled Slhoub; Siddhartha Bhattacharyya (IEEE Access, 2022)

Optimized activation for quantum-inspired self-supervised neural network based fully automated brain lesion segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Sandip Dey; Bijaya Ketan Panigrahi (Appl. Intell., 2022)

Enhancing cybersecurity by generating user-specific security policy through the formal modeling of user behavior. - Arwa AlQadheeb; Siddhartha Bhattacharyya; Samuel J. Perl (Array, 2022)

Recognition of cancer mediating biomarkers using rough approximations enabled intuitionistic fuzzy soft sets based similarity measure. - Swarup Kr Ghosh; Anupam Ghosh; Siddhartha Bhattacharyya (Appl. Soft Comput., 2022)

A deep fuzzy model for diagnosis of COVID-19 from CT images. - Liping Song; Xinyu Liu 012; Shuqi Chen; Shuai Liu 002; Xiangbin Liu; Khan Muhammad 001; Siddhartha Bhattacharyya (Appl. Soft Comput., 2022)

Editorial: Assuring trustworthiness of autonomous systems as intelligent and ethical teammates. - Siddhartha Bhattacharyya; Meredith Carroll (Frontiers Robotics AI, 2022)

Citation recommendation employing heterogeneous bibliographic network embedding. - Zafar Ali; Guilin Qi; Khan Muhammad 001; Siddhartha Bhattacharyya; Irfan Ullah 001; Waheed Ahmed Abro (Neural Comput. Appl., 2022)

Assuring Behavior of Multirobot Autonomous Systems With Translation From Formal Verification to ROS Simulation. - Praveen Thachappully Adithya; Anubhav Gupta 003; Siddhartha Bhattacharyya; Raja Muthalagu (IEEE Syst. J., 2022)

Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Bijaya K. Panigrahi; Elizabeth C. Behrman (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multilevel Quantum Evolutionary Butterfly Optimization Algorithm for Automatic Clustering of Hyperspectral Images. - Tulika Dutta; Siddhartha Bhattacharyya; Bijaya Ketan Panigrahi (AICV, 2023)

AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations. - Parth Ganeriwala; Siddhartha Bhattacharyya; Sean Gunther; Brian Kish; Mohammed Abdul Hafeez Khan; Ankur Dhadoti; Natasha A. Neogi (ICMLA, 2023)

Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data. - Van Minh Nguyen; Nasheen Nur; William Stern; Thomas Mercer; Chiradeep Sen; Siddhartha Bhattacharyya; Victor Tumbiolo; Seng Jhing Goh (ICMLA, 2023)

IPAssess: A Protocol-Based Fingerprinting Model for Device Identification in the IoT. - Parth Ganeriwala; Siddhartha Bhattacharyya; Raja Muthalagu; Shreya Nandanwar; Anubhav Gupta 003 (IntelliSys (3), 2023)

Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection*. - Parth Ganeriwala; Siddhartha Bhattacharyya; Raja Muthalagu (IV, 2023)

Assuring Learning-Enabled Increasingly Autonomous Systems*. - Nandith Narayan; Parth Ganeriwala; Randolph M. Jones; Michael Matessa; Siddhartha Bhattacharyya; Jennifer A. Davis; Hemant Purohit; Simone Fulvio Rollini (SysCon, 2023)

Towards Knowledge Extraction and Parsing of XML Metadata for SysML System Architecture Modeling. - Candice Normalee Chambers; Parth Ganeriwala; Siddhartha Bhattacharyya; Chiradeep Sen; Nasheen Nur (UEMCON, 2023)

DQNAS: Neural Architecture Search using Reinforcement Learning. - Anshumaan Chauhan; Siddhartha Bhattacharyya; S. Vadivel (CoRR, 2023)

A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. - Debanjan Konar; Aditya Das Sarma; Soham Bhandary; Siddhartha Bhattacharyya; Attila Cangi; Vaneet Aggarwal (Appl. Soft Comput., 2023)

A brief review of portfolio optimization techniques. - Abhishek Gunjan; Siddhartha Bhattacharyya (Artif. Intell. Rev., 2023)

Automatic clustering of colour images using quantum inspired meta-heuristic algorithms. - Alokananda Dey; Siddhartha Bhattacharyya; Sandip Dey; Jan Platos; Václav Snásel (Appl. Intell., 2023)

Multi-level quantum inspired metaheuristics for automatic clustering of hyperspectral images. - Tulika Dutta; Siddhartha Bhattacharyya; Bijaya Ketan Panigrahi; Ivan Zelinka; Leo Mrsic (Quantum Mach. Intell., 2023)

Natural Language Explanations for Suicide Risk Classification Using Large Language Models. - William Stern; Seng Jhing Goh; Nasheen Nur; Patrick J. Aragon; Thomas Mercer; Siddhartha Bhattacharyya; Chiradeep Sen; Van Minh Nguyen (ML4CMH@AAAI, 2024)

Harnessing LSTM Neural Networks and Hyperparameter Optimization for Precise Sales Forecasting in Retail. - Mainak Mitra; Soumit Roy; Sourav De; Siddhartha Bhattacharyya; Jan Platos; Václav Snásel (AISI (2), 2024)

A Brief Review on Different Machine Learning-Based Intrusion Detection Systems. - Swarnadeep Samanta; Arka Provo Sen; Debarka Mukhopadhyay; Sourav De; Siddhartha Bhattacharyya; Jan Platos (AISI (2), 2024)

Educational Management System Using Hybrid Blockchain Network. - Aniket Sarkar; Sourav Mondal; Debarka Mukhopadhyay; Sourav De; Siddhartha Bhattacharyya; Jan Platos; Leo Mrsic (AISI (2), 2024)

ALINA: Advanced Line Identification and Notation Algorithm. - Mohammed Abdul Hafeez Khan; Parth Ganeriwala; Siddhartha Bhattacharyya; Natasha A. Neogi; Raja Muthalagu (CVPR Workshops, 2024)

Automatic Cluster Detection in Hyperspectral Images using Quantum Walrus Optimizers. - Tulika Dutta; Siddhartha Bhattacharyya; Bijaya Ketan Panigrahi; Jan Platos; Ivan Zelinka; Václav Snásel (DoSIER, 2024)

Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV). - Aneesha Guna; Parth Ganeriwala; Siddhartha Bhattacharyya (ICMLA, 2024)

Automatic Hyperspectral Image Clustering Using Qutrit Differential Evolution. - Tulika Dutta; Siddhartha Bhattacharyya; Bijaya Ketan Panigrahi; Jan Platos; Václav Snásel (ICSI, 2024)

MBSE for Contingency Planning for Cellular Networks with OPM. - Hemant Purohit; Siddhartha Bhattacharyya (UEMCON, 2024)

Game-Theoretic Resource Allocation and Dynamic Pricing Mechanism in Fog Computing. - Anjan Bandyopadhyay; Sujata Swain; Raj Singh; Pritam Sarkar; Siddhartha Bhattacharyya; Leo Mrsic (IEEE Access, 2024)

An Explainable AI framework for credit evaluation and analysis. - M. K. Nallakaruppan 001; Balamurugan Balusamy; M. Lawanya Shri; V. Malathi; Siddhartha Bhattacharyya (Appl. Soft Comput., 2024)

Evaluation of performance enhancement in Ethereum fraud detection using oversampling techniques. - Vaishali Ravindranath; M. K. Nallakaruppan 001; M. Lawanya Shri; Balamurugan Balusamy; Siddhartha Bhattacharyya (Appl. Soft Comput., 2024)

Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection. - Parth Ganeriwala; Siddhartha Bhattacharyya; Raja Muthalagu (CoRR, 2024)

A brief review on quantum computing based drug design. - Poulami Das 006; Avishek Ray; Siddhartha Bhattacharyya; Jan Platos; Václav Snásel; Leo Mrsic; Tingwen Huang; Ivan Zelinka (WIREs Data. Mining. Knowl. Discov., 2024)

Virtual special issue on quantum inspired soft computing for intelligent data processing guest editorial. - Siddhartha Bhattacharyya; Debashis De; Sergey Gorbachev; Debanjan Konar (Appl. Soft Comput., 2024)

A quantum inspired differential evolution algorithm for automatic clustering of real life datasets. - Alokananda Dey; Siddhartha Bhattacharyya; Sandip Dey; Jan Platos; Václav Snásel (Multim. Tools Appl., 2024)

Quantum-inspired meta-heuristic approaches for a constrained portfolio optimization problem. - Abhishek Gunjan; Siddhartha Bhattacharyya (Evol. Intell., 2024)

Sentiment analysis on labeled and unlabeled datasets using BERT architecture. - Koyel Chakraborty; Siddhartha Bhattacharyya; Rajib Bag; Leo Mrsic (Soft Comput., 2024)

3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images. - Debanjan Konar; Siddhartha Bhattacharyya; Tapan K. Gandhi; Bijaya K. Panigrahi; Richard Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fusion Based Technique for Underwater Image Enhancement. - Rajdeep Basu; Ronit Kumar; Pratima Sarkar; Sourav De; Siddhartha Bhattacharyya; Jan Platos; Václav Snásel (AISI, 2025)

Automating Physics-Based Reasoning for SysML Model Validation. - Candice Normalee Chambers; Summer Mueller; Parth Ganeriwala; Chiradeep Sen; Siddhartha Bhattacharyya (SysCon, 2025)

Runway vs. Taxiway: Challenges in Automated Line Identification and Notation Approaches. - Parth Ganeriwala; Amy Alvarez; Abdullah AlQahtani; Siddhartha Bhattacharyya; Mohammed Abdul Hafeez Khan; Natasha A. Neogi (SysCon, 2025)

Design and Validation of Learning Aware HMI for Learning-Enabled Increasingly Autonomous Systems. - Parth Ganeriwala; Michael Matessa; Siddhartha Bhattacharyya; Randolph M. Jones; Jennifer A. Davis; Parneet Kaur; Simone Fulvio Rollini; Natasha A. Neogi (SysCon, 2025)

Evolutionary Algorithm for the Traveling Salesman Problem With Innovative Encoding on Hybrid Quantum-Classical Machines. - Ravi Saini; Ashish Mani; M. S. Prasad; Siddhartha Bhattacharyya; Jan Platos (IEEE Access, 2025)

ResQ: A hybrid classical-quantum model for efficient breast cancer image classification. - Dibyasree Guha; Somenath Kuiry; Shyamali Mitra; Siddhartha Bhattacharyya; Nibaran Das (Appl. Soft Comput., 2025)

Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging. - Mohammed Abdul Hafeez Khan; Samuel Morries Boddepalli; Siddhartha Bhattacharyya; Debasis Mitra (CoRR, 2025)

Adapt, But Don't Forget: Fine-Tuning and Contrastive Routing for Lane Detection under Distribution Shift. - Mohammed Abdul Hafeez Khan; Parth Ganeriwala; Sarah M. Lehman; Siddhartha Bhattacharyya; Amy Alvarez; Natasha A. Neogi (CoRR, 2025)

Test-time Prompt Refinement for Text-to-Image Models. - Mohammed Abdul Hafeez Khan; Yash Jain; Siddhartha Bhattacharyya; Vibhav Vineet (CoRR, 2025)