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ORCIDPratyusha Rakshit
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2020 – today
- 2024
[j22]Souhardya Das, Proma Mondal, Shambhab Chaki, Pratyusha Rakshit, Archana Chowdhury:
EHR Innovations: Shedding Light on Anemia in the Healthcare Paradigm. Adv. Artif. Intell. Mach. Learn. 4(3): 2648-2664 (2024)- 2022
- [j21]Mousumi Laha, Amit Konar
, Pratyusha Rakshit, Atulya K. Nagar:
Hemodynamic Analysis for Olfactory Perceptual Degradation Assessment Using Generalized Type-2 Fuzzy Regression. IEEE Trans. Cogn. Dev. Syst. 14(3): 1217-1231 (2022) - 2020
- [j20]Pratyusha Rakshit:
Memory based self-adaptive sampling for noisy multi-objective optimization. Inf. Sci. 511: 243-264 (2020) - [j19]Pratyusha Rakshit:
Improved differential evolution for noisy optimization. Swarm Evol. Comput. 52 (2020) - [j18]Mousumi Laha, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar:
Exploration of Subjective Color Perceptual-Ability by EEG-Induced Type-2 Fuzzy Classifiers. IEEE Trans. Cogn. Dev. Syst. 12(3): 618-635 (2020) - [j17]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) - [c49]Pratyusha Rakshit, Archana Chowdhury, Amit Konar, Atulya K. Nagar:
Migration in Multi-Population Differential Evolution for Many Objective Optimization. CEC 2020: 1-8 - [c48]Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Q-Learning Induced Artificial Bee Colony for Noisy Optimization. CEC 2020: 1-8 - [c47]Sayantani Ghosh, Mousumi Laha, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar:
Vowel Sound Imagery Decoding by a Capsule Network for the Design of an Automatic Mind-Driven Type-Writer. IJCNN 2020: 1-8 - [p1]Sriparna Saha, Pratyusha Rakshit, Amit Konar:
Modified Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition. Computational Intelligence for Semantic Knowledge Management 2020: 91-135
2010 – 2019
- 2019
- [j16]Lidia Ghosh, Pratyusha Rakshit, Amit Konar:
Working memory modeling using inverse fuzzy relational approach. Appl. Soft Comput. 83 (2019) - [j15]Reshma Kar, Pratyusha Rakshit, Amit Konar, Aruna Chakraborty:
Uncertainty Management by Feature Space Tuning for Single-Trial P300 Detection. Int. J. Fuzzy Syst. 21(3): 916-929 (2019) - [j14]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) - [c46]Archana Chowdhury, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
A Ranking Based Technique to Predict Protein Complexes. CEC 2019: 2529-2536 - [c45]Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Modified Selection and Search in Learning Automata Based Artificial Bee Colony in Noisy Environment. CEC 2019: 3173-3180 - 2018
- [b1]Pratyusha Rakshit, Amit Konar:
Principles in Noisy Optimization - Applied to Multi-agent Coordination. Cognitive Intelligence and Robotics, Springer 2018, ISBN 978-981-10-8641-0, pp. 1-361 - [j13]Sriparna Saha, Pratyusha Rakshit, Amit Konar:
Ballet E-learning using fuzzy set induced posture recognition by piece-wise linear approximation of connected components. Appl. Soft Comput. 65: 554-576 (2018) - [j12]Pratyusha Rakshit, Amit Konar:
Realization of learning induced self-adaptive sampling in noisy optimization. Appl. Soft Comput. 69: 288-315 (2018) - [c44]Pratyusha Rakshit, Sriparna Saha, Amit Konar, Atulya K. Nagar:
Evolutionary Approach to Straight Line Approximation for Image Matching in Dance-Posture Recognition. CEC 2018: 1-8 - [c43]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 - [c42]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 - [c41]Mousumi Laha, Amit Konar, Pratyusha Rakshit, Susmita Chaki, Atulya K. Nagar:
Understanding the Biological Underpinning of Auditory Perception for Vowel Sounds Using a Type-2 Fuzzy Neural Network. SSCI 2018: 258-265 - [c40]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 - [c39]Mousumi Laha, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar:
EEG-Analysis for Classification of Touch-Induced Affection by Type-2 Fuzzy Sets. SSCI 2018: 491-498 - [c38]Shreya Shrestha Meel, Sayantan Adhikary, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Multi-Robot Box-Pushing Using VIKOR Induced Particle Swarm optimization. SSCI 2018: 973-980 - [c37]Archana Chowdhury, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Prediction of Protein Complexes Using an Evolutionary Approach. SSCI 2018: 1056-1063 - [c36]Pratyusha Rakshit, Amit Konar, Atulya Nagar:
Self-Adaptive Sampling in Noisy Multi-objective Optimization. SSCI 2018: 2155-2162 - [i1]Sourya Dipta Das, Victor Bain, Pratyusha Rakshit:
Energy Optimized Robot Arm Path Planning using Differential Evolution in Dynamic Environment. CoRR abs/1806.08916 (2018) - 2017
- [j11]Rimita Lahiri, Pratyusha Rakshit, Amit Konar:
Evolutionary perspective for optimal selection of EEG electrodes and features. Biomed. Signal Process. Control. 36: 113-137 (2017) - [j10]Pratyusha Rakshit, Amit Konar, Swagatam Das:
Noisy evolutionary optimization algorithms - A comprehensive survey. Swarm Evol. Comput. 33: 18-45 (2017) - [c35]Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Learning automata induced artificial bee colony for noisy optimization. CEC 2017: 984-991 - [c34]Pratyusha Rakshit, Archana Chowdhury, Amit Konar, Atulya K. Nagar:
Differential evolution induced many objective optimization. CEC 2017: 2240-2247 - [c33]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 - [c32]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 - 2016
- [j9]Archana Chowdhury, Pratyusha Rakshit, Amit Konar:
Protein-protein interaction network prediction using stochastic learning automata induced differential evolution. Appl. Soft Comput. 49: 699-724 (2016) - [j8]Pratyusha Rakshit, Sriparna Saha, Amit Konar, Subhasish Saha:
A type-2 fuzzy classifier for gesture induced pathological disorder recognition. Fuzzy Sets Syst. 305: 95-130 (2016) - [j7]Archana Chowdhury, Pratyusha Rakshit, Amit Konar:
Prediction of protein-protein interaction network using a multi-objective optimization approach. J. Bioinform. Comput. Biol. 14(3): 1650008:1-1650008:34 (2016) - [j6]Arup Kumar Sadhu, Pratyusha Rakshit, Amit Konar:
A modified Imperialist Competitive Algorithm for multi-robot stick-carrying application. Robotics Auton. Syst. 76: 15-35 (2016) - [j5]Pratyusha Rakshit, Amit Konar:
Non-dominated Sorting Bee Colony optimization in the presence of noise. Soft Comput. 20(3): 1139-1159 (2016) - [c31]Archana Chowdhury, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
A meta-heuristic approach to predict protein-protein interaction network. CEC 2016: 2137-2144 - [c30]Rimita Lahiri, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Evolutionary approach for selection of optimal EEG electrode positions and features for classification of cognitive tasks. CEC 2016: 4846-4853 - [c29]Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Multi-robot box-pushing in presence of measurement noise. CEC 2016: 4926-4933 - [c28]Jishnu Mukhoti, Pratyusha Rakshit, Diptendu Bhattacharya, Amit Konar, Atulya K. Nagar:
Knowledge extraction from a time-series using segmentation, fuzzy matching and predictor graphs. FUZZ-IEEE 2016: 1201-1208 - 2015
- [j4]Pratyusha Rakshit, Amit Konar:
Differential evolution for noisy multiobjective optimization. Artif. Intell. 227: 165-189 (2015) - [j3]Pratyusha Rakshit, Amit Konar:
Extending multi-objective differential evolution for optimization in presence of noise. Inf. Sci. 305: 56-76 (2015) - [c27]Archana Chowdhury, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
A multi-objective evolutionary approach to predict Protein-Protein Interaction network. CEC 2015: 1628-1635 - [c26]Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Type-2 fuzzy induced non-dominated sorting bee colony for noisy optimization. CEC 2015: 1869-1876 - 2014
- [j2]Pratyusha Rakshit, Amit Konar, Swagatam Das, Lakhmi C. Jain, Atulya K. Nagar:
Uncertainty Management in Differential Evolution Induced Multiobjective Optimization in Presence of Measurement Noise. IEEE Trans. Syst. Man Cybern. Syst. 44(7): 922-937 (2014) - [c25]Archana Chowdhury, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
A modified bat algorithm to predict Protein-Protein Interaction network. IEEE Congress on Evolutionary Computation 2014: 1046-1053 - [c24]Shreyasi Datta, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Selecting the optimal EEG electrode positions for a cognitive task using an Artificial Bee Colony with Adaptive Scale Factor optimization algorithm. IEEE Congress on Evolutionary Computation 2014: 2748-2755 - [c23]Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Artificial Bee Colony induced multi-objective optimization in presence of noise. IEEE Congress on Evolutionary Computation 2014: 3176-3183 - 2013
- [j1]Pratyusha Rakshit, Amit Konar, Pavel Bhowmik, Indrani Goswami, Swagatam Das, Lakhmi C. Jain, Atulya K. Nagar:
Realization of an Adaptive Memetic Algorithm Using Differential Evolution and Q-Learning: A Case Study in Multirobot Path Planning. IEEE Trans. Syst. Man Cybern. Syst. 43(4): 814-831 (2013) - [c22]Saugat Bhattacharyya, Pratyusha Rakshit, Amit Konar, D. N. Tibarewala, Swagatam Das, Atulya K. Nagar:
Differential evolution with temporal difference Q-learning based feature selection for motor imagery EEG data. CCMB 2013: 138-145 - [c21]Pratyusha Rakshit, Amit Konar, Archana Chowdhury, Eunjin Kim, Atulya K. Nagar:
Muti-objective evolutionary approach of ligand design for protein-ligand docking problem. IEEE Congress on Evolutionary Computation 2013: 237-244 - [c20]Abhishek Ghosh Roy, Pratyusha Rakshit, Amit Konar, Samar Bhattacharya, Eunjin Kim, Atulya K. Nagar:
Adaptive Firefly Algorithm for nonholonomic motion planning of car-like system. IEEE Congress on Evolutionary Computation 2013: 2162-2169 - [c19]Pratyusha Rakshit, Amit Konar, Eunjin Kim, Atulya K. Nagar:
DEMO-TDQL: An adaptive multi-objective optimization algorithm. IEEE Congress on Evolutionary Computation 2013: 3095-3102 - [c18]Pratyusha Rakshit, Aruna Chakraborty, Amit Konar, Atulya K. Nagar:
Secondary membership evaluation in Generalized Type-2 Fuzzy Sets by evolutionary optimization algorithm. FUZZ-IEEE 2013: 1-8 - [c17]Pratyusha Rakshit, Amit Konar, Swagatam Das, Atulya K. Nagar:
ABC-TDQL: An adaptive memetic algorithm. HIMA 2013: 35-42 - [c16]Anuradha Saha, Amit Konar, Pratyusha Rakshit, Anca L. Ralescu, Atulya K. Nagar:
Olfaction recognition by EEG analysis using differential evolution induced Hopfield neural net. IJCNN 2013: 1-8 - [c15]Archana Chowdhury, Pratyusha Rakshit, Amit Konar, Ramadoss Janarthanan:
An Evolutionary Approach for Analysing the Effect of Interaction Site Structural Features on Protein- Protein Complex Formation. PReMI 2013: 656-661 - [c14]Archana Chowdhury, Amit Konar, Pratyusha Rakshit, Ramadoss Janarthanan:
Protein Function Prediction Using Adaptive Swarm Based Algorithm. SEMCCO (2) 2013: 55-68 - [c13]Saugat Bhattacharyya, Pratyusha Rakshit, Amit Konar, D. N. Tibarewala, Ramadoss Janarthanan:
Feature Selection of Motor Imagery EEG Signals Using Firefly Temporal Difference Q-Learning and Support Vector Machine. SEMCCO (2) 2013: 534-545 - 2012
- [c12]Pratyusha Rakshit, Saugat Bhattacharyya, Amit Konar, Anwesha Khasnobish, D. N. Tibarewala, Ramadoss Janarthanan:
Artificial Bee Colony Based Feature Selection for Motor Imagery EEG Data. BIC-TA (2) 2012: 127-138 - [c11]Pavel Bhowmik, Pratyusha Rakshit, Amit Konar, Eunjin Kim, Atulya K. Nagar:
DE-TDQL: An adaptive memetic algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c10]Arindam Jati, Garima Singh, Pratyusha Rakshit, Amit Konar, Eunjin Kim, Atulya K. Nagar:
A hybridisation of Improved Harmony Search and Bacterial Foraging for multi-robot motion planning. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c9]Anisha Halder, Pratyusha Rakshit, Sumantra Chakraborty, Amit Konar, Aruna Chakraborty, Eunjin Kim, Atulya K. Nagar:
Reducing uncertainty in interval type-2 fuzzy sets for qualitative improvement in emotion recognition from facial expressions. FUZZ-IEEE 2012: 1-8 - [c8]Pratyusha Rakshit, Archana Chowdhury, Amit Konar, Atulya K. Nagar:
Evaluating the designing perspective of Protein-Protein Interaction network using evolutionary algorithm. NaBIC 2012: 130-137 - [c7]Pratyusha Rakshit, Papia Das, Amit Konar, Mita Nasipuri, Ramadoss Janarthanan:
A recurrent fuzzy neural model of a gene regulatory network for knowledge extraction using invasive weed and artificial bee colony optimization algorithm. RAIT 2012: 385-391 - [c6]Pratyusha Rakshit, Dhrubojyoti Banerjee, Amit Konar, Ramadoss Janarthanan:
An Adaptive Memetic Algorithm for Multi-robot Path-Planning. SEMCCO 2012: 248-258 - 2011
- [c5]Preetha Bhattacharjee, Pratyusha Rakshit, Indrani Goswami, Amit Konar, Atulya K. Nagar:
Multi-robot path-planning using artificial bee colony optimization algorithm. NaBIC 2011: 219-224 - [c4]Papia Das, Pratyusha Rakshit, Amit Konar, Ramadoss Janarthanan:
A recurrent fuzzy neural model of a gene regulatory network for knowledge extraction using Artificial Bee Colony optimization algorithm. ReTIS 2011: 42-47 - [c3]Pratyusha Rakshit, Arup Kumar Sadhu, Preetha Bhattacharjee, Amit Konar, Ramadoss Janarthanan:
Multi-Robot Box-Pushing Using Non-dominated Sorting Bee Colony Optimization Algorithm. SEMCCO (1) 2011: 601-609 - [c2]Anisha Halder, Pratyusha Rakshit, Aruna Chakraborty, Amit Konar, Ramadoss Janarthanan:
Emotion Recognition from the Lip-Contour of a Subject Using Artificial Bee Colony Optimization Algorithm. SEMCCO (1) 2011: 610-617 - [c1]Pratyusha Rakshit, Arup Kumar Sadhu, Anisha Halder, Amit Konar, Ramadoss Janarthanan:
Multi-robot Box-Pushing Using Differential Evolution Algorithm for Multiobjective Optimization. SocProS (1) 2011: 355-365
Coauthor Index
[j21] [j18] [j17] [c49] [c48] [c47] [p1] [j16] [j15] [j14] [c46] [c45] [b1] [j13] [j12] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [j11] [j10] [c35] [c34] [c33] [c32] [j9] [j8] [j7] [j6] [j5] [c31] [c30] [c29] [c28] [j4] [j3] [c27] [c26] [j2] [c25] [c24] [c23] [j1] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Atulya K. Nagar
aka: Atulya Nagar
aka: Atulya Nagar
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