Lidia Ghosh

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Vector Quantization

Fuzzy Relational

Brain Connectivity

Top Venues

Appl. Soft Comput.

Publications

Lidia Ghosh, Dipanjan Konar
Efficient fuzzy-pruned high dimensional clustering with minimal distance measure. Expert Syst. Appl. 243 (2024)
Sriparna Saha, Lidia Ghosh
Predicting stress levels for smartphone users using transfer learning induced residual net. Entertain. Comput. 48 (2024)
Pranay Nath, Surajit Mondal, Lidia Ghosh
Local Binary Pattern Induced Optimized CNN for Brain Tumor Diagnosis from MRI Data. PReMI (2023)
Lidia Ghosh, Dipanjan Konar, Amit Konar, Atulya K. Nagar
Stability and Limit Cycles of Fuzzy Inferences in a Recurrent Petri-like Neural Network. IJCNN (2023)
Debolina Dey, Lidia Ghosh, Diptendu Bhattacharya, Amit Konar
A 2-phase prediction of a non-stationary time-series by Taylor series and reinforcement learning. Appl. Soft Comput. 145 (2023)
Abhinaba Saha, Dipayan Dewan, Lidia Ghosh, Amit Konar
Fuzzy vector quantization with a step-optimizer to improve pattern classification. Expert Syst. Appl. 188 (2022)
Reshma Kar, Lidia Ghosh, Amit Konar, Aruna Chakraborty, Atulya K. Nagar
EEG-Induced Autonomous Game-Teaching to a Robot Arm by Human Trainers Using Reinforcement Learning. IEEE Trans. Games 14 (4) (2022)
Lidia Ghosh, Mousumi Laha, Amit Konar, Saugat Bhattacharya, Atulya K. Nagar
Fuzzy Relational Approach to Determine Functional Brain Connectivity in Learning Tasks for Dyslexia Children Using an f-NIRS Device. IJCNN (2022)
Lidia Ghosh, Amit Konar, Atulya K. Nagar
Vertical Slice Based General Type-2 Fuzzy Reasoning and Defuzzification for Control Applications. FUZZ-IEEE (2022)
Lidia Ghosh, Sriparna Saha, Amit Konar
Decoding emotional changes of android-gamers using a fused Type-2 fuzzy deep neural network. Comput. Hum. Behav. 116 (2021)
Lidia Ghosh, Dipayan Dewan, Abir Chowdhury, Amit Konar
Exploration of face-perceptual ability by EEG induced deep learning algorithm. Biomed. Signal Process. Control. 66 (2021)
Suhita Karmakar, Dipayan Dewan, Lidia Ghosh, Abir Chowdhury, Amit Konar, Atulya K. Nagar
Brain-Connectivity Analysis to Differentiate Phasmophobic and Non-phasmophobic: An EEG Study. MIUA (2021)
Biswadeep Chakraborty, Lidia Ghosh, Amit Konar
Optimal Selection of EEG Electrodes Using Interval Type-2 Fuzzy-Logic-Based Semiseparating Signaling Game. IEEE Trans. Cybern. 51 (12) (2021)
Sayantani Ghosh, Lidia Ghosh, Amit Konar, Atulya K. Nagar
Assessment of Subjective Creativity Skill Using EEG Induced Capsule Network. SSCI (2020)
Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar
Mimicking Short-Term Memory in Shape-Reconstruction Task Using an EEG-Induced Type-2 Fuzzy Deep Brain Learning Network. IEEE Trans. Emerg. Top. Comput. Intell. 4 (4) (2020)
Lidia Ghosh, Sriparna Saha, Amit Konar
Bi-directional Long Short-Term Memory model to analyze psychological effects on gamers. Appl. Soft Comput. 95 (2020)
Biswadeep Chakraborty, Lidia Ghosh, Amit Konar
Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing. IEEE Trans. Biomed. Eng. 67 (7) (2020)
Dipayan Dewan, Lidia Ghosh, Biswadeep Chakraborty, Abir Chowdhury, Amit Konar, Atulya K. Nagar
Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach. IJCNN (2020)
Abir Chowdhury, Biswadeep Chakraborty, Lidia Ghosh, Dipayan Dewan, Amit Konar
A Dynamical Phase Synchronization Based Approach to Study the Effects of Long-Term Alcoholism on Functional Connectivity Dynamics. PReMI (2) (2019)
Abir Chowdhury, Dipayan Dewan, Lidia Ghosh, Amit Konar, Atulya K. Nagar
Brain Connectivity Analysis in Color Perception Problem Using Convergent Cross Mapping Technique. SocProS (1) (2019)
Lidia Ghosh, Pratyusha Rakshit, Amit Konar
Working memory modeling using inverse fuzzy relational approach. Appl. Soft Comput. 83 (2019)
Lidia Ghosh, Amit Konar
EEG-Induced Adaptation of Controller Parameter for Closed-Loop Position Control of the End-Effecter in a Robot Arm. ICCCNT (2019)
Lidia Ghosh, Sabari Ghosh, Dipanjan Konar, Amit Konar, Atulya K. Nagar
EEG-Induced Error Correction in Path Planning by a Mobile Robot Using Learning Automata. SocProS (1) (2019)
Lidia Ghosh, Dipanjan Konar, Amit Konar
Fuzzy Vector Quantization for Classification of Olfactory Stimuli from the Acquired Brain Signals. ICCCNT (2019)
Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar
Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets. IEEE Trans. Emerg. Top. Comput. Intell. 3 (3) (2019)
Biswadeep Chakraborty, Saptak Ghosal, Lidia Ghosh, Amit Konar, Atulya K. Nagar
Phase-Sensitive Common Spatial Pattern for EEG Classification. SMC (2019)
Zeeshan Qadir, Eashita Chowdhury, Lidia Ghosh, Amit Konar
Quantitative Analysis of Cognitive Load Test While Driving in a VR vs Non-VR Environment. PReMI (2) (2019)
Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Sricheta Parui, Anca L. Ralescu, Atulya K. Nagar
P-300 and N-400 Induced Decoding of Learning-Skill of Driving Learners Using Type-2 Fuzzy Sets. FUZZ-IEEE (2018)
Lidia Ghosh, Sayantani Ghosh, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar
Decoding of EEG Signals Using Deep Long Short-Term Memory Network in Face Recognition Task. SSCI (2018)
Lidia Ghosh, Reshma Kar, Amit Konar, Aruna Chakraborty, Atulya K. Nagar
Identification of Brain Activation Regions in Inductive Learning Based Scientific Creativity Test. SSCI (2018)
Mousumi Laha, Amit Konar, Pratyusha Rakshit, Lidia Ghosh, Susmita Chaki, Anca L. Ralescu, Atulya K. Nagar
Hemodynamic Response Analysis for Mind-Driven Type-writing using a Type 2 Fuzzy Classifier. FUZZ-IEEE (2018)
Anjali Shukla, Arnab Rakshit, Amit Konar, Lidia Ghosh, Atulya K. Nagar
Decoding of Mind-Generated Pattern Locks for Security Checking Using Type-2 Fuzzy Classifier. SSCI (2018)
Pallabi Samanta, Diptendu Bhattacharya, Amiyangshu De, Lidia Ghosh, Amit Konar
Music-Induced Emotion Classification from the Prefrontal Hemodynamics. PReMI (2017)
Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Anca L. Ralescu, Atulya K. Nagar
EEG analysis for short term memory modeling in visually explored shape recognition tasks. SSCI (2017)
Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Anca L. Ralescu, Atulya K. Nagar
EEG induced working memory performance analysis using inverse fuzzy relational approach. FUZZ-IEEE (2017)