EEG induced working memory performance analysis using inverse fuzzy relational approach. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2017)

Music-Induced Emotion Classification from the Prefrontal Hemodynamics. - Pallabi Samanta; Diptendu Bhattacharya; Amiyangshu De; Lidia Ghosh; Amit Konar (PReMI, 2017)

EEG analysis for short term memory modeling in visually explored shape recognition tasks. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Anca L. Ralescu; Atulya K. Nagar (SSCI, 2017)

P-300 and N-400 Induced Decoding of Learning-Skill of Driving Learners Using Type-2 Fuzzy Sets. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Sricheta Parui; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2018)

Hemodynamic Response Analysis for Mind-Driven Type-writing using a Type 2 Fuzzy Classifier. - Mousumi Laha; Amit Konar; Pratyusha Rakshit; Lidia Ghosh; Susmita Chaki; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2018)

Decoding of EEG Signals Using Deep Long Short-Term Memory Network in Face Recognition Task. - Lidia Ghosh; Sayantani Ghosh; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (SSCI, 2018)

Identification of Brain Activation Regions in Inductive Learning Based Scientific Creativity Test. - Lidia Ghosh; Reshma Kar; Amit Konar; Aruna Chakraborty; Atulya K. Nagar (SSCI, 2018)

Decoding of Mind-Generated Pattern Locks for Security Checking Using Type-2 Fuzzy Classifier. - Anjali Shukla; Arnab Rakshit; Amit Konar; Lidia Ghosh; Atulya K. Nagar (SSCI, 2018)

EEG-Induced Adaptation of Controller Parameter for Closed-Loop Position Control of the End-Effecter in a Robot Arm. - Lidia Ghosh; Amit Konar (ICCCNT, 2019)

Fuzzy Vector Quantization for Classification of Olfactory Stimuli from the Acquired Brain Signals. - Lidia Ghosh; Dipanjan Konar; Amit Konar (ICCCNT, 2019)

A Dynamical Phase Synchronization Based Approach to Study the Effects of Long-Term Alcoholism on Functional Connectivity Dynamics. - Abir Chowdhury; Biswadeep Chakraborty; Lidia Ghosh; Dipayan Dewan; Amit Konar (PReMI (2), 2019)

Quantitative Analysis of Cognitive Load Test While Driving in a VR vs Non-VR Environment. - Zeeshan Qadir; Eashita Chowdhury; Lidia Ghosh; Amit Konar (PReMI (2), 2019)

Phase-Sensitive Common Spatial Pattern for EEG Classification. - Biswadeep Chakraborty; Saptak Ghosal; Lidia Ghosh; Amit Konar; Atulya K. Nagar (SMC, 2019)

Brain Connectivity Analysis in Color Perception Problem Using Convergent Cross Mapping Technique. - Abir Chowdhury; Dipayan Dewan; Lidia Ghosh; Amit Konar; Atulya K. Nagar (SocProS (1), 2019)

EEG-Induced Error Correction in Path Planning by a Mobile Robot Using Learning Automata. - Lidia Ghosh; Sabari Ghosh; Dipanjan Konar; Amit Konar; Atulya K. Nagar (SocProS (1), 2019)

Working memory modeling using inverse fuzzy relational approach. - Lidia Ghosh; Pratyusha Rakshit; Amit Konar (Appl. Soft Comput., 2019)

Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach. - Dipayan Dewan; Lidia Ghosh; Biswadeep Chakraborty; Abir Chowdhury; Amit Konar; Atulya K. Nagar (IJCNN, 2020)

Assessment of Subjective Creativity Skill Using EEG Induced Capsule Network. - Sayantani Ghosh; Lidia Ghosh; Amit Konar; Atulya K. Nagar (SSCI, 2020)

Bi-directional Long Short-Term Memory model to analyze psychological effects on gamers. - Lidia Ghosh; Sriparna Saha 002; Amit Konar (Appl. Soft Comput., 2020)

Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing. - Biswadeep Chakraborty; Lidia Ghosh; Amit Konar (IEEE Trans. Biomed. Eng., 2020)

Mimicking Short-Term Memory in Shape-Reconstruction Task Using an EEG-Induced Type-2 Fuzzy Deep Brain Learning Network. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Atulya K. Nagar (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Brain-Connectivity Analysis to Differentiate Phasmophobic and Non-phasmophobic: An EEG Study. - Suhita Karmakar; Dipayan Dewan; Lidia Ghosh; Abir Chowdhury; Amit Konar; Atulya K. Nagar (MIUA, 2021)

Exploration of face-perceptual ability by EEG induced deep learning algorithm. - Lidia Ghosh; Dipayan Dewan; Abir Chowdhury; Amit Konar (Biomed. Signal Process. Control., 2021)

Decoding emotional changes of android-gamers using a fused Type-2 fuzzy deep neural network. - Lidia Ghosh; Sriparna Saha 002; Amit Konar (Comput. Hum. Behav., 2021)

Optimal Selection of EEG Electrodes Using Interval Type-2 Fuzzy-Logic-Based Semiseparating Signaling Game. - Biswadeep Chakraborty; Lidia Ghosh; Amit Konar (IEEE Trans. Cybern., 2021)

Vertical Slice Based General Type-2 Fuzzy Reasoning and Defuzzification for Control Applications. - Lidia Ghosh; Amit Konar; Atulya K. Nagar (FUZZ-IEEE, 2022)

Fuzzy Relational Approach to Determine Functional Brain Connectivity in Learning Tasks for Dyslexia Children Using an f-NIRS Device. - Lidia Ghosh; Mousumi Laha; Amit Konar; Saugat Bhattacharya; Atulya K. Nagar (IJCNN, 2022)

Fuzzy vector quantization with a step-optimizer to improve pattern classification. - Abhinaba Saha; Dipayan Dewan; Lidia Ghosh; Amit Konar (Expert Syst. Appl., 2022)

EEG-Induced Autonomous Game-Teaching to a Robot Arm by Human Trainers Using Reinforcement Learning. - Reshma Kar; Lidia Ghosh; Amit Konar; Aruna Chakraborty; Atulya K. Nagar (IEEE Trans. Games, 2022)

Stability and Limit Cycles of Fuzzy Inferences in a Recurrent Petri-like Neural Network. - Lidia Ghosh; Dipanjan Konar; Amit Konar; Atulya K. Nagar (IJCNN, 2023)

Local Binary Pattern Induced Optimized CNN for Brain Tumor Diagnosis from MRI Data. - Pranay Nath; Surajit Mondal; Lidia Ghosh (PReMI, 2023)

A 2-phase prediction of a non-stationary time-series by Taylor series and reinforcement learning. - Debolina Dey; Lidia Ghosh; Diptendu Bhattacharya; Amit Konar (Appl. Soft Comput., 2023)

Efficient fuzzy-pruned high dimensional clustering with minimal distance measure. - Lidia Ghosh; Dipanjan Konar (Expert Syst. Appl., 2024)

Predicting stress levels for smartphone users using transfer learning induced residual net. - Sriparna Saha 002; Lidia Ghosh (Entertain. Comput., 2024)

Integrating attention-based GRU with event-driven NMPC to enhance tracking performance of robotic manipulator under actuator failure. - Atanu Panda; Lidia Ghosh; Subhasish Mahapatra (Expert Syst. Appl., 2025)

Hybrid brain-computer interfacing paradigm for assistive robotics. - Ahona Ghosh; Lidia Ghosh; Sriparna Saha 002 (Robotics Auton. Syst., 2025)