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Lidia Ghosh
Person information
- affiliation: Jadavpur University, Kolkata, West Bengal, India
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2020 – today
- 2024
- [j13]Sriparna Saha
, Lidia Ghosh:
Predicting stress levels for smartphone users using transfer learning induced residual net. Entertain. Comput. 48: 100609 (2024) - [j12]Lidia Ghosh
, Dipanjan Konar:
Efficient fuzzy-pruned high dimensional clustering with minimal distance measure. Expert Syst. Appl. 243: 122748 (2024) - 2023
- [j11]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: 110565 (2023) - [c22]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: 1-8 - [c21]Pranay Nath, Surajit Mondal, Lidia Ghosh
:
Local Binary Pattern Induced Optimized CNN for Brain Tumor Diagnosis from MRI Data. PReMI 2023: 388-396 - 2022
- [j10]Abhinaba Saha
, Dipayan Dewan
, Lidia Ghosh
, Amit Konar
:
Fuzzy vector quantization with a step-optimizer to improve pattern classification. Expert Syst. Appl. 188: 115941 (2022) - [j9]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): 610-622 (2022) - [c20]Lidia Ghosh, Amit Konar, Atulya K. Nagar:
Vertical Slice Based General Type-2 Fuzzy Reasoning and Defuzzification for Control Applications. FUZZ-IEEE 2022: 1-8 - [c19]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: 1-8 - 2021
- [j8]Lidia Ghosh
, Dipayan Dewan
, Abir Chowdhury, Amit Konar:
Exploration of face-perceptual ability by EEG induced deep learning algorithm. Biomed. Signal Process. Control. 66: 102368 (2021) - [j7]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: 106640 (2021) - [j6]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): 6200-6212 (2021) - [c18]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: 108-122 - 2020
- [j5]Lidia Ghosh
, Sriparna Saha, Amit Konar:
Bi-directional Long Short-Term Memory model to analyze psychological effects on gamers. Appl. Soft Comput. 95: 106573 (2020) - [j4]Biswadeep Chakraborty
, Lidia Ghosh
, Amit Konar:
Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing. IEEE Trans. Biomed. Eng. 67(7): 2064-2072 (2020) - [j3]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): 571-588 (2020) - [c17]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: 1-8 - [c16]Sayantani Ghosh, Lidia Ghosh
, Amit Konar, Atulya K. Nagar:
Assessment of Subjective Creativity Skill Using EEG Induced Capsule Network. SSCI 2020: 3107-3114
2010 – 2019
- 2019
- [j2]Lidia Ghosh
, Pratyusha Rakshit, Amit Konar
:
Working memory modeling using inverse fuzzy relational approach. Appl. Soft Comput. 83 (2019) - [j1]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): 245-260 (2019) - [c15]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: 1-7 - [c14]Lidia Ghosh
, Dipanjan Konar, Amit Konar:
Fuzzy Vector Quantization for Classification of Olfactory Stimuli from the Acquired Brain Signals. ICCCNT 2019: 1-7 - [c13]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: 218-226 - [c12]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: 481-489 - [c11]Biswadeep Chakraborty
, Saptak Ghosal, Lidia Ghosh
, Amit Konar, Atulya K. Nagar:
Phase-Sensitive Common Spatial Pattern for EEG Classification. SMC 2019: 3654-3659 - [c10]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: 273-285 - [c9]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: 287-299 - 2018
- [c8]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: 1-8 - [c7]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: 1-8 - [c6]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: 477-483 - [c5]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: 950-957 - [c4]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: 1976-1981 - 2017
- [c3]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: 1-6 - [c2]Pallabi Samanta, Diptendu Bhattacharya, Amiyangshu De, Lidia Ghosh
, Amit Konar:
Music-Induced Emotion Classification from the Prefrontal Hemodynamics. PReMI 2017: 289-295 - [c1]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: 1-8
Coauthor Index
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last updated on 2024-06-03 00:09 CEST by the dblp team
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