Reshma Rastogi ( nee Khemchandani)

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Suresh ChandraProfessor(Retired) of Mathematics,Indian Institute of Technology,New DelhiVerified email at maths.iitd.ac.in
Pritam AnandAssistant Professor, Dhirubhai Ambani Institute of Information and Communication TechnologyVerified email at ieee.org
Sweta SharmaApplied Scientist, Amazon | South Asian UniversityVerified email at students.sau.ac.in
Pooja SaigalAssociate Professor, VIPS | South Asian UniversityVerified email at vips.edu
Aman PalPhD Scholar, Department of Computer Science, South Asian UniversityVerified email at students.sau.ac.in
M. Tanveer, INSA Associate FellowAssociate Professor and Ramanujan Fellow, IIT Indore (Some codes are available at GitHub.)Verified email at iiti.ac.in
Anuj KarpatneVirginia TechVerified email at vt.edu
Sanjay KumarSouth Asian UniversityVerified email at students.sau.ac.in
Yuan-Hai ShaoHainan UniversityVerified email at hainanu.edu.cn
Dr. Mudasir Ahmad GanaieUniversity of Michigan, Ann Arbor, USAVerified email at umich.edu
Sambhav Jainsouth asian universityVerified email at students.sau.ac.in
Ankit KumarUniversity of DelhiVerified email at lb.du.ac.in
Sayed Mortaza KazemiAssistant ProfessorVerified email at kardan.edu.af
Ritesh GangnaniOnward AssistVerified email at onwardhealth.co
Chin-Teng LinUniversity of Technology SydneyVerified email at uts.edu.au
Alok Kanti DebAssociate Professor of Electrical Engineering, IIT KharagpurVerified email at ee.iitkgp.ernet.in

Reshma Rastogi ( nee Khemchandani)

Associate Professor, Computer Science, South Asian University, India

Verified email at sau.ac.in - Homepage

Machine Learning Twin Support Vector Machines Optimization financial Modelling Image segmentation and retrieval.


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Twin support vector machines for pattern classification R Khemchandani, S Chandra IEEE Transactions on pattern analysis and machine intelligence 29 (5), 905-910, 2007	1647	2007
Comprehensive review on twin support vector machines M Tanveer, T Rajani, R Rastogi, YH Shao, MA Ganaie Annals of Operations Research, 1-46, 2022	145	2022
Regularized least squares fuzzy support vector regression for financial time series forecasting R Khemchandani, S Chandra Expert Systems with Applications 36 (1), 132-138, 2009	145	2009
Optimal kernel selection in twin support vector machines R Khemchandani, Jayadeva, S Chandra Optimization Letters 3, 77-88, 2009	112	2009
Robust least squares twin support vector machine for human activity recognition R Khemchandani, S Sharma Applied Soft Computing 47, 33-46, 2016	78	2016
TWSVR: regression via twin support vector machine R Khemchandani, K Goyal, S Chandra Neural Networks 74, 14-21, 2016	69	2016
Fast and robust learning through fuzzy linear proximal support vector machines R Khemchandani, S Chandra Neurocomputing 61, 401-411, 2004	64	2004
Knowledge based least squares twin support vector machines MA Kumar, R Khemchandani, M Gopal, S Chandra Information Sciences 180 (23), 4606-4618, 2010	57	2010
Knowledge based proximal support vector machines R Khemchandani, S Chandra European Journal of Operational Research 195 (3), 914-923, 2009	48	2009
Twin support vector machines: models, extensions and applications Jayadeva, R Khemchandani, S Chandra Springer Publishing Company, Incorporated, 2018	43	2018
Robust parametric twin support vector machine for pattern classification R Rastogi, S Sharma, S Chandra Neural processing letters 47 (1), 293-323, 2018	38	2018
Improvements on ν-twin support vector machine R Khemchandani, P Saigal, S Chandra Neural Networks 79, 97-107, 2016	37	2016
Fuzzy least squares twin support vector clustering R Khemchandani, A Pal, S Chandra Neural computing and applications 29, 553-563, 2018	36	2018
Large-scale twin parametric support vector machine using pinball loss function S Sharma, R Rastogi, S Chandra IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (2), 987-1003, 2019	35	2019
Fuzzy multi-category proximal support vector classification via generalized eigenvalues Jayadeva, R Khemchandani, S Chandra Soft Computing 11, 679-685, 2007	35	2007
A ν-twin support vector machine based regression with automatic accuracy control R Rastogi, P Anand, S Chandra Applied Intelligence 46, 670-683, 2017	33	2017
Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives R Khemchandani, S Chandra Information Sciences 178 (17), 3402-3414, 2008	31	2008
Color image classification and retrieval through ternary decision structure based multi-category TWSVM R Khemchandani, P Saigal Neurocomputing 165, 444-455, 2015	30	2015
Twin support vector regression for the simultaneous learning of a function and its derivatives R Khemchandani, A Karpatne, S Chandra International Journal of Machine Learning and Cybernetics 4 (1), 51-63, 2013	30	2013
Proximal support tensor machines R Khemchandani, A Karpatne, S Chandra International Journal of Machine Learning and Cybernetics 4, 703-712, 2013	29	2013

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