Farzaneh Mahdisoltani

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	All	Since 2018
Citations	1042	869
h-index	6	6
i10-index	5	4

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20142015201620172018201920202021202220234 25 54 80 122 136 155 164 213 79

Co-authors

Fabian SuchanekProfessor at Télécom ParisTech, Paris, FranceVerified email at telecom-paristech.fr
Asia J. BiegaTenure-track Faculty @ Max Planck Institute for Security and PrivacyVerified email at mpi-sp.org
Roland MemisevicTwenty Billion Neurons, University of MontrealVerified email at twentybn.com
Waseem GharbiehMeta PlatformsVerified email at fb.com
Guillaume BergerQualcommVerified email at qti.qualcomm.com
David J FleetGoogle Deepmind; University of Toronto; Vector InstituteVerified email at cs.toronto.edu
Bianca SchroederProfessor of Computer Science, University of TorontoVerified email at cs.cmu.edu
Ioan StefanoviciPrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
Hamid BeigySharif University of TechnologyVerified email at sharif.edu
Thomas BroxUniversity of Freiburg and AmazonVerified email at cs.uni-freiburg.de
MohammadReza ZolfaghariPhD, University of FreiburgVerified email at cs.uni-freiburg.de
Ingo BaxQualcomm A.I. ResearchVerified email at qti.qualcomm.com

Farzaneh Mahdisoltani

University of Toronto, Vector Institute

Verified email at cs.toronto.edu

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Yago3: A knowledge base from multilingual wikipedias F Mahdisoltani, J Biega, FM Suchanek CIDR, 2014	847	2014
Proactive error prediction to improve storage system reliability. F Mahdisoltani, IA Stefanovici, B Schroeder USENIX Annual Technical Conference, 391-402, 2017	92	2017
Fine-grained video classification and captioning F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic arXiv preprint arXiv:1804.09235 5 (6), 2018	38	2018
On the effectiveness of task granularity for transfer learning F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic arXiv preprint arXiv:1804.09235, 2018	36	2018
On the effectiveness of task granularity for transfer learning F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic https://arxiv.org/pdf/1804.09235.pdf, 2018	36	2018
A knowledge base from multilingual Wikipedias–yago3 F Mahdisoltani, J Biega, FM Suchanek Technical report, Telecom ParisTech. http://suchanek. name/work/publications …, 2014	10	2014
Learning representations for predicting future activities M Zolfaghari, Ö Çiçek, SM Ali, F Mahdisoltani, C Zhang, T Brox arXiv preprint arXiv:1905.03578, 2019	6	2019
WISECODE: wise image segmentation based on community detection AA Abin, F Mahdisoltani, H Beigy The Imaging Science Journal 62 (6), 327-336, 2014	5	2014
A New Image Segmentation Algorithm: A Community Detection Approach. AA Abin, F Mahdisoltani, H Beigy IICAI, 1047-1059, 2011	5	2011
Evaluating visual "common sense" using fine-grained classification and captioning tasks R Goyal, F Mahdisoltani, G Berger, W Gharbieh, I Bax, R Memisevic ICLR 2018, 2018	2	2018
Natural Gradient Variational Inference with Gaussian Mixture Models F Mahdisoltani arXiv preprint arXiv:2111.08002, 2021	1	2021
Hierarchical Video Understanding F Mahdisoltani, R Memisevic, D Fleet ECCV 2018, 2018		2018
The more fine-grained, the better for transfer learning F Mahdisoltani, G Berger, W Gharbieh, R Memisevic, D Fleet

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