Moein Khajehnejad

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Forough Habibollahi SaatlouPhD student, University of MelbourneVerified email at student.unimelb.edu.au
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
Manuel Gomez RodriguezFaculty, Max Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org
Behzad TabibianReasonal Inc.Verified email at btabibian.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Adrian WellerPrincipal Research Fellow, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Mahmoudreza BabaeiPostdoctoral researcher at Max Planck Institute for Human Development in the CHM groupVerified email at mpib-berlin.mpg.de
Stratis TsirtsisPhD Student, Max Planck Institute for Software SystemsVerified email at mpi-sws.org
Pan HuiChair Professor, Nokia Chair in Data Science, FREng & IEEE Fellow (HKUST & University of Helsinki)Verified email at cse.ust.hk
Michael SmallThe University of Western AustraliaVerified email at uwa.edu.au
Tongfeng WengThe Hong Kong University of Science and TechnologyVerified email at ust.hk
Mahdi JaliliAssociate Professor at RMIT University, Melbourne, AustraliaVerified email at rmit.edu.au
Jessica HoffmannUniversity of Texas at AustinVerified email at utexas.edu
Krishna P. GummadiHead, Networked Systems Group, MPI-SWSVerified email at mpi-sws.org
Baharan MirzasoleimanUCLAVerified email at cs.ucla.edu
Amir DezfouliData61, CSIROVerified email at data61.csiro.au
Richard NockGoogle ResearchVerified email at uniagro.fr

Moein Khajehnejad

PhD Candidate at Monash University

Verified email at monash.edu - Homepage

Reinforcement Learning Evolutionary Game Theory Statistical Machine Learning Complex Networks Analysis


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Alzheimer’s disease early diagnosis using manifold-based semi-supervised learning M Khajehnejad, F Habibollahi Saatlou, H Mohammadzade Brain sciences 7 (8), 109, 2017	27	2017
Optimal decision making under strategic behavior M Khajehnejad, B Tabibian, B Schölkopf, A Singla, M Gomez-Rodriguez arXiv preprint arXiv:1905.09239, 2019	26*	2019
Navigation by anomalous random walks on complex networks T Weng, J Zhang, M Khajehnejad, M Small, R Zheng, P Hui Scientific reports 6 (1), 1-9, 2016	21	2016
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks M Khajehnejad, AA Rezaei, M Babaei, J Hoffmann, M Jalili, A Weller Proceedings of the 29th International Joint Conference on Artificial …, 2020	19	2020
CrossWalk: Fairness-enhanced Node Representation Learning A Khajehnejad, M Khajehnejad, M Babaei, KP Gummadi, A Weller, ... Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2021	7	2021
SimNet: Similarity-based network embeddings with mean commute time M Khajehnejad PloS one 14 (8), e0221172, 2019	5	2019
Neural Network Poisson Models for Behavioural and Neural Spike Train Data M Khajehnejad, F Habibollahi, R Nock, E Arabzadeh, P Dayan, ... Proceedings of the 39th International Conference on Machine Learning (ICML 2022), 2022	1*	2022
Efficiency of long-range navigation on Treelike fractals M Khajehnejad Chaos, Solitons & Fractals 122, 102-110, 2019	1	2019
Hunting for Dual-Target Set on a Class of Hierarchical Networks M Khajehnejad, F Habibollahi International Conference on Network Science, 94-111, 2022		2022

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