Követés
Fredrik D. Johansson
Fredrik D. Johansson
Associate Professor, Chalmers University of Technology
E-mail megerősítve itt: chalmers.se - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
12912017
Learning representations for counterfactual inference
FD Johansson, U Shalit, D Sontag
Proceedings of the 33rd International Conference on Machine Learning 48 …, 2016
9442016
A survey on graph kernels
NM Kriege, FD Johansson, C Morris
Applied Network Science 5, 1-42, 2020
5542020
Why is my classifier discriminatory?
I Chen, FD Johansson, D Sontag
Proceedings of the 32nd International Conference on Neural Information …, 2018
5452018
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature Medicine 25 (1), 16--18, 2019
4942019
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
2122019
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
1472018
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
1362022
Learning weighted representations for generalization across designs
FD Johansson, N Kallus, U Shalit, D Sontag
arXiv preprint arXiv:1802.08598, 2018
962018
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
962016
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
772014
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
682013
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
572017
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
472015
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
362020
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
302015
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
292015
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
272021
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
262021
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