Lidia Ghosh

According to our database, Lidia Ghosh authored at least 35 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Predicting stress levels for smartphone users using transfer learning induced residual net.

Sriparna Saha, Lidia Ghosh

Entertain. Comput., January, 2024

Efficient fuzzy-pruned high dimensional clustering with minimal distance measure.

Lidia Ghosh, Dipanjan Konar

Expert Syst. Appl., 2024

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., September, 2023

Local Binary Pattern Induced Optimized CNN for Brain Tumor Diagnosis from MRI Data.

Pranay Nath, Surajit Mondal, Lidia Ghosh

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

Stability and Limit Cycles of Fuzzy Inferences in a Recurrent Petri-like Neural Network.

Lidia Ghosh, Dipanjan Konar, Amit Konar, Atulya K. Nagar

Proceedings of the International Joint Conference on Neural Networks, 2023

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

Fuzzy vector quantization with a step-optimizer to improve pattern classification.

Abhinaba Saha, Dipayan Dewan, Lidia Ghosh, Amit Konar

Expert Syst. Appl., 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

Proceedings of the International Joint Conference on Neural Networks, 2022

Vertical Slice Based General Type-2 Fuzzy Reasoning and Defuzzification for Control Applications.

Lidia Ghosh, Amit Konar, Atulya K. Nagar

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

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

Decoding emotional changes of android-gamers using a fused Type-2 fuzzy deep neural network.

Lidia Ghosh, Sriparna Saha, Amit Konar

Comput. Hum. Behav., 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

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

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

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

Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing.

Biswadeep Chakraborty, Lidia Ghosh, Amit Konar

IEEE Trans. Biomed. Eng., 2020

Bi-directional Long Short-Term Memory model to analyze psychological effects on gamers.

Lidia Ghosh, Sriparna Saha, Amit Konar

Appl. Soft Comput., 2020

Assessment of Subjective Creativity Skill Using EEG Induced Capsule Network.

Sayantani Ghosh, Lidia Ghosh, Amit Konar, Atulya K. Nagar

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Working memory modeling using inverse fuzzy relational approach.

Lidia Ghosh, Pratyusha Rakshit, Amit Konar

Appl. Soft Comput., 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

Proceedings of the Soft Computing for Problem Solving 2019, 2019

Brain Connectivity Analysis in Color Perception Problem Using Convergent Cross Mapping Technique.

Abir Chowdhury, Dipayan Dewan, Lidia Ghosh, Amit Konar, Atulya K. Nagar

Proceedings of the Soft Computing for Problem Solving 2019, 2019

Phase-Sensitive Common Spatial Pattern for EEG Classification.

Biswadeep Chakraborty, Saptak Ghosal, Lidia Ghosh, Amit Konar, Atulya K. Nagar

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Quantitative Analysis of Cognitive Load Test While Driving in a VR vs Non-VR Environment.

Zeeshan Qadir, Eashita Chowdhury, Lidia Ghosh, Amit Konar

Proceedings of the Pattern Recognition and Machine Intelligence, 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

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Fuzzy Vector Quantization for Classification of Olfactory Stimuli from the Acquired Brain Signals.

Lidia Ghosh, Dipanjan Konar, Amit Konar

Proceedings of the 10th International Conference on Computing, 2019

EEG-Induced Adaptation of Controller Parameter for Closed-Loop Position Control of the End-Effecter in a Robot Arm.

Lidia Ghosh, Amit Konar

Proceedings of the 10th International Conference on Computing, 2019

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Identification of Brain Activation Regions in Inductive Learning Based Scientific Creativity Test.

Lidia Ghosh, Reshma Kar, Amit Konar, Aruna Chakraborty, Atulya K. Nagar

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

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

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

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

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Music-Induced Emotion Classification from the Prefrontal Hemodynamics.

Pallabi Samanta, Diptendu Bhattacharya, Amiyangshu De, Lidia Ghosh, Amit Konar

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

EEG induced working memory performance analysis using inverse fuzzy relational approach.

Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Anca L. Ralescu, Atulya K. Nagar

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017