Fredrik D. Johansson

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David SontagProfessor, Massachusetts Institute of TechnologyEmail verificata su csail.mit.edu
Devdatt DubhashiProfessor ChalmersEmail verificata su chalmers.se
Uri ShalitAssociate Professor, Tel Aviv UniversityEmail verificata su tauex.tau.ac.il
Omer GottesmanAmazonEmail verificata su amazon.com
Adel DaoudInstitute for Analytical Sociology, Linköping University, Division for Data Science and AI, ChalmersEmail verificata su liu.se
Finale Doshi-VelezProfessor, HarvardEmail verificata su seas.harvard.edu
Matthieu KomorowskiMD, PhD, Clinical Senior Lecturer at Imperial College London ; Visiting Scholar at MITEmail verificata su imperial.ac.uk
Daniel H. SolomonBrigham and Women's HospitalEmail verificata su partners.org
Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceEmail verificata su csa.iisc.ernet.in
Emil CarlssonResearch ScientistEmail verificata su sleepcycle.com
Mikael KågebäckChalmers University of TechnologyEmail verificata su chalmers.se
Christopher MorrisRWTH Aachen UniversityEmail verificata su cs.rwth-aachen.de
Nils M. KriegeUniversity of ViennaEmail verificata su univie.ac.at
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoEmail verificata su berkeley.edu
Nathan KallusCornell UniversityEmail verificata su cornell.edu
Lena StempfleChalmers University of TechnologyEmail verificata su chalmers.se
Jamie E CollinsBrigham and Women's HospitalEmail verificata su bwh.harvard.edu
Rajesh RanganathAssistant Professor, NYUEmail verificata su cs.princeton.edu
Ashkan PanahiAssistant ProfessorEmail verificata su chalmers.se
Richard JohanssonUniversity of Gothenburg and Chalmers University of TechnologyEmail verificata su gu.se

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Fredrik D. Johansson

Associate Professor, Chalmers University of Technology

Email verificata su chalmers.se - Home page

Machine Learning Causal Inference Healthcare


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Estimating individual treatment effect: generalization bounds and algorithms U Shalit, F Johansson, D Sontag Proceedings of the 34th International Conference on Machine Learning 70 …, 2017	1290	2017
Learning representations for counterfactual inference FD Johansson, U Shalit, D Sontag Proceedings of the 33rd International Conference on Machine Learning 48 …, 2016	943	2016
A survey on graph kernels NM Kriege, FD Johansson, C Morris Applied Network Science 5, 1-42, 2020	553	2020
Why is my classifier discriminatory? I Chen, FD Johansson, D Sontag Proceedings of the 32nd International Conference on Neural Information …, 2018	545	2018
Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature Medicine 25 (1), 16--18, 2019	493	2019
Support and Invertibility in Domain-Invariant Representations FD Johansson, R Ranganath, D Sontag AISTATS, Proceedings of Machine Learning Research, in PMLR 89, 527-536, 2019	212	2019
Evaluating reinforcement learning algorithms in observational health settings O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018	147	2018
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects FD Johansson, U Shalit, N Kallus, D Sontag Journal of Machine Learning Research 23 (166), 1–50, 2022	136	2022
Learning weighted representations for generalization across designs FD Johansson, N Kallus, U Shalit, D Sontag arXiv preprint arXiv:1802.08598, 2018	96	2018
Learning to play guess who? and inventing a grounded language as a consequence E Jorge, M Kågebäck, FD Johansson, E Gustavsson arXiv preprint arXiv:1611.03218, 2016	96	2016
Global graph kernels using geometric embeddings FD Johansson, V Jethava, D Dubhashi, C Bhattacharyya Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014	77	2014
Entity disambiguation in anonymized graphs using graph kernels L Hermansson, T Kerola, F Johansson, V Jethava, D Dubhashi Proceedings of the 22nd ACM international conference on Information …, 2013	68	2013
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery A Panahi, D Dubhashi, FD Johansson, C Bhattacharyya Proceedings of the 34th International Conference on Machine Learning 70 …, 2017	57	2017
Learning with similarity functions on graphs using matchings of geometric embeddings FD Johansson, D Dubhashi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	47	2015
Characterization of overlap in observational studies M Oberst, F Johansson, D Wei, T Gao, G Brat, D Sontag, K Varshney International Conference on Artificial Intelligence and Statistics, 788-798, 2020	36	2020
Visions and open challenges for a knowledge-based culturomics N Tahmasebi, L Borin, G Capannini, D Dubhashi, P Exner, M Forsberg, ... International Journal on Digital Libraries 15, 169-187, 2015	30	2015
Neural context embeddings for automatic discovery of word senses M Kågebäck, F Johansson, R Johansson, D Dubhashi Proceedings of the 1st Workshop on Vector Space Modeling for Natural …, 2015	29	2015
Predicting Progression & Cognitive Decline in Amyloid-Positive Patients with Alzheimer's Disease HV Dansson, L Stempfle, H Egilsdóttir, A Schliep, E Portelius, K Blennow, ... Alzheimer's Research & Therapy, 2021	27	2021
Using satellite images and deep learning to measure health and living standards in india A Daoud, F Jordán, M Sharma, F Johansson, D Dubhashi, S Paul, ... Social Indicators Research 167 (1), 475-505, 2023	26*	2023
Predicting response to tocilizumab monotherapy in rheumatoid arthritis: a real-world data analysis using machine learning FD Johansson, JE Collins, V Yau, H Guan, SC Kim, E Losina, D Sontag, ... The Journal of Rheumatology 48 (9), 1364-1370, 2021	26	2021

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