Pradipta Maji

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Sushmita PaulHautklinik, FAU Erlangen-Nürnberg and Universitätsklinikum ErlangenZweryfikowany adres z uk-erlangen.de
Niloy GangulyDepartment of CSE, Indian Institute of Technology, KharagpurZweryfikowany adres z cse.iitkgp.ac.in
Biplab Kumar SikdarIndian Institute of Engineering Science and TechnologyZweryfikowany adres z cs.iiests.ac.in
Partha GaraiKalyani Government Engineering College, Kalyani, WB, IndiaZweryfikowany adres z isical.ac.in
Abhirup BanerjeeInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UKZweryfikowany adres z cardiov.ox.ac.uk
Chandra DasAssociate Professor in the Dept. CSE, Netaji Subhash Engineering College, IndiaZweryfikowany adres z nsec.ac.in
Malay K KunduIndian Statistical InstituteZweryfikowany adres z alum.mit.edu
Bhabatosh ChandaProfessor, Computer and Communication Science, Indian Statistical InstituteZweryfikowany adres z isical.ac.in
Sukanta DasAssociate Professor of Information Technology, Indian Institute of Engineering Science andZweryfikowany adres z it.iiests.ac.in
Samiran ChattopadhyayEx-Professor, Jadavpur UniversityZweryfikowany adres z technoindiaeducation.com
Kuntal GhoshMachine Intelligence Unit, Indian Statistical InstituteZweryfikowany adres z isical.ac.in
Narasimha Murty M/ M. N. Murty/M. N....honorary professor, computer science and automation, indian institute of scienceZweryfikowany adres z iisc.ac.in
Andrzej SkowronProfessor, IBS PAN, UKSW, University of Warsaw (emeritus professor)Zweryfikowany adres z mimuw.edu.pl

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Pradipta Maji

Machine Intelligence Unit, Indian Statistical Institute, Kolkata, INDIA

Zweryfikowany adres z isical.ac.in - Strona główna

Pattern Recognition Machine Learning Medical Image Processing Bioinformatics


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018	2159	2018
Rough Set Based Generalized Fuzzy C-Means Algorithm and Quantitative Indices P Maji, SK Pal Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 37 …, 2007	269	2007
RFCM: a hybrid clustering algorithm using rough and fuzzy sets P Maji, SK Pal Fundamenta Informaticae 80 (4), 475-496, 2007	200	2007
Theory and application of cellular automata for pattern classification P Maji, C Shaw, N Ganguly, BK Sikdar, PP Chaudhuri Fundamenta Informaticae 58 (3-4), 321-354, 2003	153	2003
Rough set based maximum relevance-maximum significance criterion and gene selection from microarray data P Maji, S Paul International Journal of Approximate Reasoning 52 (3), 408-426, 2011	143	2011
Content-based image retrieval using visually significant point features M Banerjee, MK Kundu, P Maji	98	2009
Rough-fuzzy clustering for grouping functionally similar genes from microarray data P Maji, S Paul IEEE/ACM transactions on computational biology and bioinformatics 10 (2 …, 2012	96	2012
Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging P Maji, SK Pal John Wiley & Sons, 2012	96	2012
Fuzzy–rough sets for information measures and selection of relevant genes from microarray data P Maji, SK Pal IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009	96	2009
Fuzzy–rough supervised attribute clustering algorithm and classification of microarray data P Maji IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010	91	2010
A rough hypercuboid approach for feature selection in approximation spaces P Maji IEEE Transactions on Knowledge and Data Engineering 26 (1), 16-29, 2012	84	2012
Mutual information based supervised attribute clustering for microarray sample classification P Maji IEEE Transactions on Knowledge and Data Engineering 24 (1), 127-140, 2012	74	2012
A simple skull stripping algorithm for brain MRI S Roy, P Maji 2015 Eighth International Conference on Advances in Pattern Recognition …, 2015	73	2015
Fuzzy cellular automata for modeling pattern classifier P Maji, PP Chaudhuri IEICE Transactions on Information and Systems 88 (4), 691-702, 2005	71	2005
On fuzzy-rough attribute selection: criteria of max-dependency, max-relevance, min-redundancy, and max-significance P Maji, P Garai Applied Soft Computing 13 (9), 3968-3980, 2013	68	2013
Feature selection using f-information measures in fuzzy approximation spaces P Maji, SK Pal IEEE Transactions on Knowledge and Data Engineering 22 (6), 854-867, 2009	67	2009
Rough-fuzzy C-medoids algorithm and selection of bio-basis for amino acid sequence analysis P Maji, SK Pal IEEE transactions on knowledge and data engineering 19 (6), 859-872, 2007	63	2007
Fuzzy–rough simultaneous attribute selection and feature extraction algorithm P Maji, P Garai IEEE Transactions on Cybernetics 43 (4), 1166-1177, 2012	61	2012
Evolving cellular automata as pattern classifier N Ganguly, P Maji, S Dhar, BK Sikdar, PP Chaudhuri International Conference on Cellular Automata, 56-68, 2002	61	2002
Maximum class separability for rough-fuzzy c-means based brain mr image segmentation P Maji, SK Pal Transactions on rough sets IX, 114-134, 2008	60	2008

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