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ORCIDHimanshu Aggarwal
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2020 – today
- 2024
[j25]Himanshu Aggarwal, P. Venkata Subba Reddy:
Meta-heuristic Algorithms for Double Roman Domination Problem. Appl. Soft Comput. 154: 111306 (2024)- [j24]Sumit Bansal, Himanshu Aggarwal:
A multiobjective optimization of task workflow scheduling using hybridization of PSO and WOA algorithms in cloud-fog computing. Clust. Comput. 27(8): 10921-10952 (2024) - [j23]Navreen Kaur Boparai
, Himanshu Aggarwal, Rinkle Rani:
Analyzing fuzzy semantics of reviews for multi-criteria recommendations. Data Knowl. Eng. 152: 102314 (2024) - [j22]Sumit Bansal, Himanshu Aggarwal:
An Efficient Workflow Scheduling in Cloud-Fog Computing Environment Using a Hybrid Particle Whale Optimization Algorithm. Wirel. Pers. Commun. 137(1): 441-475 (2024) - [c4]Himanshu Aggarwal, Liza Al-Shikhley, Bertrand Thirion:
Across-Subject Ensemble-Learning Alleviates the Need for Large Samples for fMRI Decoding. MICCAI (3) 2024: 35-45 - [d4]Nilearn Contributors, Ahmad Chamma, Aina Frau-Pascual, Alex Rothberg, Alexandre Abadie, Alexandre Abraham, Alexandre Gramfort, Alexandre Savio, Alexandre Cionca, Alexis Thual, Alisha Kodibagkar, Amadeus Kanaan, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Christina Roßmanith, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Jordi Huguet, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Mia Zwally, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Nikhil Krish, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paul Reiners, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Suramya Pokharel, Sylvain Lan, Sylvain Takerkart, Tamer Gezici, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera:
nilearn. Zenodo, 2024
- [d3]Nilearn Contributors, Ahmad Chamma, Aina Frau-Pascual, Alex Rothberg, Alexandre Abadie, Alexandre Abraham, Alexandre Gramfort, Alexandre Savio, Alexandre Cionca, Alexis Thual, Alisha Kodibagkar, Amadeus Kanaan, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Christina Roßmanith, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Florent Pollet, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Jordi Huguet, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Mia Zwally, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Nikhil Krish, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paul Reiners, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Suramya Pokharel, Sylvain Lan, Sylvain Takerkart, Tamer Gezici, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera:
nilearn. Zenodo, 2024 - [i7]Himanshu Aggarwal, Liza Al-Shikhley, Bertrand Thirion:
Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding. CoRR abs/2407.12056 (2024) - 2023
- [j21]Gourav Bathla, Rinkle Rani, Himanshu Aggarwal:
Stocks of year 2020: prediction of high variations in stock prices using LSTM. Multim. Tools Appl. 82(7): 9727-9743 (2023) - [d2]Nilearn Contributors, Ahmad Chamma, Aina Frau-Pascual, Alex Rothberg, Alexandre Abadie, Alexandre Abraham, Alexandre Gramfort, Alexandre Savio, Alexandre Cionca, Alexis Thual, Alisha Kodibagkar, Amadeus Kanaan, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Sylvain Lan, Sylvain Takerkart, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera:
nilearn. Zenodo, 2023 - [d1]Yann Harel, André Cyr, Julie Boyle, Basile Pinsard, Jeremy Bernard, Marie-France Fourcade, Himanshu Aggarwal, Ana Fernanda Ponce, Bertrand Thirion, Karim Jerbi, Pierre Bellec:
Analyses code for the validation study of the CNeuromod controller. Zenodo, 2023 - 2022
- [j20]Sumit Bansal, Himanshu Aggarwal, Mayank Aggarwal:
A systematic review of task scheduling approaches in fog computing. Trans. Emerg. Telecommun. Technol. 33(9) (2022) - [j19]Moolchand Sharma, Shubbham Gupta, Himanshu Aggarwal, Tarun Aggarwal, Deepak Gupta, Ashish Khanna:
Quantum Grey Wolf optimisation and evolutionary algorithms for diagnosis of Alzheimer's disease. Int. J. Model. Identif. Control. 41(1/2): 53-67 (2022) - 2021
- [j18]Sukhpal Kaur, Himanshu Aggarwal, Rinkle Rani:
Diagnosis of Parkinson's disease using deep CNN with transfer learning and data augmentation. Multim. Tools Appl. 80(7): 10113-10139 (2021) - 2020
- [j17]Gourav Bathla, Himanshu Aggarwal, Rinkle Rani:
Scalable Recommendation Using Large Scale Graph Partitioning With Pregel and Giraph. Int. J. Cogn. Informatics Nat. Intell. 14(4): 42-61 (2020) - [j16]Bhim Sain Singla, Himanshu Aggarwal:
Effect of Information Architecture on the Usability of a University Website: A Comparative Study of Selected Websites of Punjab (India). Int. J. Distributed Syst. Technol. 11(1): 38-52 (2020) - [j15]Bhim Sain Singla, Himanshu Aggarwal:
A Set of Usability Heuristics and Design Recommendations for Higher Education Institutions' Websites. Int. J. Inf. Syst. Model. Des. 11(1): 58-73 (2020) - [j14]Gourav Bathla, Himanshu Aggarwal, Rinkle Rani:
AutoTrustRec: Recommender System with Social Trust and Deep Learning using AutoEncoder. Multim. Tools Appl. 79(29-30): 20845-20860 (2020) - [j13]Sukhpal Kaur, Himanshu Aggarwal, Rinkle Rani:
Hyper-parameter optimization of deep learning model for prediction of Parkinson's disease. Mach. Vis. Appl. 31(5): 32 (2020) - [j12]Gourav Bathla, Himanshu Aggarwal, Rinkle Rani:
A graph-based model to improve social trust and influence for social recommendation. J. Supercomput. 76(6): 4057-4075 (2020)
2010 – 2019
- 2019
- [j11]Sukhpal Kaur, Himanshu Aggarwal, Rinkle Rani:
Diagnosis of Parkinson's Disease Using Principle Component Analysis and Deep Learning. J. Medical Imaging Health Informatics 9(3): 602-609 (2019) - [c3]Himanshu Aggarwal, Rajiv Ratn Shah, Suhua Tang, Feida Zhu:
Supervised Generative Adversarial Cross-Modal Hashing by Transferring Pairwise Similarities for Venue Discovery. BigMM 2019: 321-330 - 2018
- [j10]Bhim Sain Singla, Himanshu Aggarwal:
Evaluation of Indian universities' websites in terms of information quality: differences in the perspectives of end users segments based on their socio-demographic characteristics. Int. J. Bus. Inf. Syst. 27(2): 135-176 (2018) - [j9]Anjali Anand, Rinkle Rani, Himanshu Aggarwal:
An Adaptive Security Model for Dynamic Node Behaviour in MANETs. KSII Trans. Internet Inf. Syst. 12(6): 2861-2880 (2018) - [j8]Himanshu Aggarwal, Dinesh Kumar Vishwakarma:
Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants. IEEE Trans. Cogn. Dev. Syst. 10(2): 397-407 (2018) - 2017
- [c2]Suvam Patra, Himanshu Aggarwal, Himani Arora, Subhashis Banerjee, Chetan Arora:
Computing Egomotion with Local Loop Closures for Egocentric Videos. WACV 2017: 454-463 - [i6]Suvam Patra, Himanshu Aggarwal, Himani Arora, Chetan Arora, Subhashis Banerjee:
Computing Egomotion with Local Loop Closures for Egocentric Videos. CoRR abs/1701.04743 (2017) - 2016
- [j7]Gaurav Gupta, Himanshu Aggarwal, Rinkle Rani:
Segmentation of retail customers based on cluster analysis in building successful CRM. Int. J. Bus. Inf. Syst. 23(2): 212-228 (2016) - [j6]Anjali Anand, Rinkle Rani, Himanshu Aggarwal:
Energy Efficient and Secure Multipoint Relay Selection in Mobile Ad hoc Networks. KSII Trans. Internet Inf. Syst. 10(4): 1571-1589 (2016) - [j5]Anjali Anand, Himanshu Aggarwal, Rinkle Rani:
Partially distributed dynamic model for secure and reliable routing in mobile ad hoc networks. J. Commun. Networks 18(6): 938-947 (2016) - [i5]Himanshu Aggarwal, Dinesh Kumar Vishwakarma:
Covariate conscious approach for Gait recognition based upon Zernike moment invariants. CoRR abs/1611.06683 (2016) - 2015
- [j4]Anjali Anand, Rinkle Rani, Himanshu Aggarwal:
A Security Model based on Reputation and Collaboration through Route-Request in Mobile Ad Hoc Networks. KSII Trans. Internet Inf. Syst. 9(11): 4701-4719 (2015) - 2014
- [j3]Sushil Kumar Singla, Himanshu Aggarwal:
Status of e-governance in the state of Punjab (India): an analytical study. Electron. Gov. an Int. J. 11(1/2): 1-15 (2014) - 2013
- [j2]Ashish Seth, Himanshu Aggarwal, Ashim Raj Singla:
Framework for business values chain activities using SOA and cloud. Int. J. Inf. Technol. Commun. Convergence 2(4): 281-294 (2013) - [i4]Ashish Seth, Himanshu Aggarwal, Ashim Raj Singla:
Testing and Evaluation of Service Oriented Systems. CoRR abs/1302.1912 (2013) - [i3]Ashish Seth, Himanshu Aggarwal, Ashim Raj Singla:
Unified Modeling Language for Describing Business Value Chain Activities. CoRR abs/1302.5788 (2013) - 2012
- [c1]Ashish Seth, Ashim Raj Singla, Himanshu Aggarwal:
Service Oriented Architecture Adoption Trends: A Critical Survey. IC3 2012: 164-175 - 2011
- [j1]Ashish Seth, Himanshu Aggarwal, Ashim Raj Singla:
Designing a SOA based model. ACM SIGSOFT Softw. Eng. Notes 36(5): 1-7 (2011) - 2010
- [i2]Raman Maini, Himanshu Aggarwal:
A Comprehensive Review of Image Enhancement Techniques. CoRR abs/1003.4053 (2010) - [i1]Bikrampal Kaur, Himanshu Aggarwal:
Artificial Neural Network based Diagnostic Model For Causes of Success and Failures. CoRR abs/1005.0965 (2010)
Coauthor Index
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