Tameem Adel

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	All	Since 2016
Citations	740	709
h-index	11	11
i10-index	12	11

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2013201420152016201720182019202020212 9 12 31 71 130 183 267 24

Co-authors

Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Taco CohenPhD Student, University of AmsterdamVerified email at uva.nl
Luisa M ZintgrafUniversity of OxfordVerified email at cs.ox.ac.uk
Adrian WellerPrincipal Research Fellow, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Han ZhaoD.E.Shaw & Co, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Alexander WongCanada Research Chair / Professor of Systems Design Engineering, University of WaterlooVerified email at uwaterloo.ca
Daniel W StashukProfessor, Systems Design Engineering, University of WaterlooVerified email at uwaterloo.ca
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
David BalduzziXTX MarketsVerified email at google.com
Ali GhodsiProfessor of Statistics and Computer Science, University of WaterlooVerified email at uwaterloo.ca
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
Isabel ValeraSaarland University and Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Edward MeedsMicrosoft Research CambridgeVerified email at microsoft.com
Daniel LizotteAssistant Professor of Computer Science, University of Western OntarioVerified email at uwo.ca
Ruth UrnerAssistant Professor, York University, TorontoVerified email at eecs.yorku.ca
José Miguel Hernández-LobatoUniversity Lecturer (US Assistant Professor) University of CambridgeVerified email at cam.ac.uk
Francesco MasulliFull Professor of Computer Science, University of Genoa (ITALY)Verified email at unige.it
Stefano RovettaAssociate professor of Computer Science, DIBRIS, University of Genova, ItalyVerified email at unige.it
Mohamed A. IsmailProfessor of Computer Science, Alexandria University, Faculty of Engineering,Verified email at alexu.edu.eg

Tameem Adel

Machine Learning Group, University of Cambridge

Verified email at uwaterloo.ca - Homepage

Machine Learning Probabilistic Graphical Models Bayesian Inference Deep Learning MRI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Visualizing deep neural network decisions: Prediction difference analysis LM Zintgraf, TS Cohen, T Adel, M Welling International Conference on Learning Representations (ICLR) 2017, 2017	368	2017
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. T Adel, D Balduzzi, A Ghodsi UAI, 32-41, 2015	61	2015
Collapsed variational inference for sum-product networks H Zhao, T Adel, G Gordon, B Amos International Conference on Machine Learning, 1310-1318, 2016	43	2016
A new method to visualize deep neural networks LM Zintgraf, TS Cohen, M Welling arXiv preprint arXiv:1603.02518, 2016	39	2016
Discovering interpretable representations for both deep generative and discriminative models T Adel, Z Ghahramani, A Weller International Conference on Machine Learning, 50-59, 2018	36	2018
One-network adversarial fairness T Adel, I Valera, Z Ghahramani, A Weller Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2412-2420, 2019	27	2019
Lower bounds for exact model counting and applications in probabilistic databases P Beame, J Li, S Roy, D Suciu arXiv preprint arXiv:1309.6815, 2013	25	2013
Unsupervised domain adaptation with a relaxed covariate shift assumption T Adel, H Zhao, A Wong Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	20	2017
Conditional learning of fair representations H Zhao, A Coston, T Adel, GJ Gordon International Conference on Learning Representations, 2020	13	2020
Continual Learning with Adaptive Weights (CLAW) T Adel, H Zhao, RE Turner International Conference on Learning Representations, 2020	12	2020
Automatic variational ABC A Moreno, T Adel, E Meeds, JM Rehg, M Welling arXiv preprint arXiv:1606.08549, 2016	12	2016
Generative multiple-instance learning models for quantitative electromyography T Adel, B Smith, R Urner, D Stashuk, DJ Lizotte arXiv preprint arXiv:1309.6811, 2013	11	2013
A probabilistic covariate shift assumption for domain adaptation T Adel, A Wong Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	9	2015
Learning Bayesian networks with incomplete data by augmentation T Adel, C de Campos Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	7	2017
Muscle categorization using PDF estimation and naive Bayes classification TM Adel, BE Smith, DW Stashuk 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012	7	2012
Clinical quantitative electromyography T Adel, D Stashuk Electrodiagnosis in New Frontiers of Clinical Research, 89, 2013	6	2013
Visualizing deep neural network decisions: prediction difference analysis (2017) LM Zintgraf, TS Cohen, T Adel, M Welling	5
Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making RR Bond, M Mulvenna, D Finlay, A Wong, A Koene, R Brisk, J Boger, ... RoCHI 2019: International Conference on Human-Computer Interaction, 2019	4	2019
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis. CoRR, abs/1702. 04595 LM Zintgraf, TS Cohen, T Adel, M Welling arXiv preprint arXiv:1702.04595, 2017	4	2017
Decomposition of intramuscular EMG signals using a knowledge-based certainty classifier algorithm H Parsaei, DW Stashuk, TM Adel 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012	4	2012

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