Fredrik D. Johansson

Fredrik D. Johansson

Chalmers tekniska högskola

H-index: 19

Europe-Sweden

About Fredrik D. Johansson

Fredrik D. Johansson, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Chalmers tekniska högskola, specializes in the field of Machine Learning, Causal Inference, Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

Pure exploration in bandits with linear constraints

The impact of austerity on children: Uncovering effect heterogeneity by political, economic, and family factors in low-and middle-income countries

Patterns in the Sequential Treatment of Patients With Rheumatoid Arthritis Starting a Biologic or Targeted Synthetic Disease‐Modifying Antirheumatic Drug: 10‐Year Experience …

MINTY: Rule-based models that minimize the need for imputing features with missing values

Sharing pattern submodels for prediction with missing values

Off-Policy Evaluation with Out-of-Sample Guarantees

Integrating earth observation data into causal inference: challenges and opportunities

Using satellite images and deep learning to measure health and living standards in india

Fredrik D. Johansson Information

University

Position

Assistant Professor

Citations(all)

3930

Citations(since 2020)

3598

Cited By

1443

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

23

i10Index(since 2020)

21

Email

University Profile Page

Chalmers tekniska högskola

Google Scholar

View Google Scholar Profile

Fredrik D. Johansson Skills & Research Interests

Machine Learning

Causal Inference

Healthcare

Top articles of Fredrik D. Johansson

Title

Journal

Author(s)

Publication Date

Pure exploration in bandits with linear constraints

Emil Carlsson

Debabrota Basu

Fredrik Johansson

Devdatt Dubhashi

2024/4/18

The impact of austerity on children: Uncovering effect heterogeneity by political, economic, and family factors in low-and middle-income countries

Social Science Research

Adel Daoud

Fredrik D Johansson

2024/2/1

Patterns in the Sequential Treatment of Patients With Rheumatoid Arthritis Starting a Biologic or Targeted Synthetic Disease‐Modifying Antirheumatic Drug: 10‐Year Experience …

ACR Open Rheumatology

Anton Matsson

Daniel H Solomon

Margaux M Crabtree

Ryan W Harrison

Heather J Litman

...

2024/1

MINTY: Rule-based models that minimize the need for imputing features with missing values

Lena Stempfle

Fredrik Johansson

2024/4/18

Sharing pattern submodels for prediction with missing values

The 37th AAAI Conference on Artificial Intelligence

Lena Stempfle

Fredrik Johansson

2023/2/7

Off-Policy Evaluation with Out-of-Sample Guarantees

Transactions on Machine Learning Research

Sofia Ek

Dave Zachariah

Fredrik D Johansson

Petre Stoica

2023/6

Integrating earth observation data into causal inference: challenges and opportunities

Connor T Jerzak

Fredrik Johansson

Adel Daoud

2023/1/30

Using satellite images and deep learning to measure health and living standards in india

Social Indicators Research

Adel Daoud

Felipe Jordán

Makkunda Sharma

Fredrik Johansson

Devdatt Dubhashi

...

2023/6

Image-based treatment effect heterogeneity

Connor T Jerzak

Fredrik Johansson

Adel Daoud

2023/5

Unsupervised domain adaptation by learning using privileged information

arXiv preprint arXiv:2303.09350

Adam Breitholtz

Anton Matsson

Fredrik D Johansson

2023/3/16

Assessing clusters of comorbidities in rheumatoid arthritis: a machine learning approach

Arthritis Research & Therapy

Daniel H Solomon

Hongshu Guan

Fredrik D Johansson

Leah Santacroce

Wendi Malley

...

2023/11/22

Fast treatment personalization with latent bandits in fixed-confidence pure exploration

Transactions on Machine Learning Research

Newton Mwai Kinyanjui

Emil Carlsson

Fredrik D Johansson

2023/2/22

Time series of satellite imagery improve deep learning estimates of neighborhood-level poverty in africa

Markus B Pettersson

Mohammad Kakooei

Julia Ortheden

Fredrik D Johansson

Adel Daoud

2023/8

Estimating causal effects under image confounding bias with an application to poverty in Africa

arXiv preprint arXiv:2206.06410

Connor T Jerzak

Fredrik Johansson

Adel Daoud

2022/6/13

ADCB: An Alzheimer's disease simulator for benchmarking observational estimators of causal effects

Newton Mwai Kinyanjui

Fredrik Johansson

2022/4/7

Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models

Rickard Karlsson

Martin Willbo

Zeshan Hussain

Rahul G. Krishnan

David Sontag

...

2022/3/28

Efficient learning of nonlinear prediction models with time-series privileged information

Advances in Neural Information Processing Systems

Bastian Jung

Fredrik D Johansson

2022/12/6

Using satellites and artificial intelligence to measure health and material-living standards in India

Adel Daoud

Felipe Jordan

Makkunda Sharma

Fredrik Johansson

Devdatt Dubhashi

...

2022/1

Practicality of generalization guarantees for unsupervised domain adaptation with neural networks

Transactions on Machine Learning Research

Adam Breitholtz

Fredrik D Johansson

2022/10

Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects

Journal of Machine Learning Research

Fredrik D. Johansson

Uri Shalit

Nathan Kallus

David Sontag

2022

See List of Professors in Fredrik D. Johansson University(Chalmers tekniska högskola)

Co-Authors

H-index: 127
Daniel H. Solomon

Daniel H. Solomon

Harvard University

H-index: 52
Finale Doshi-Velez

Finale Doshi-Velez

Harvard University

H-index: 50
David Sontag

David Sontag

Massachusetts Institute of Technology

H-index: 38
Nathan Kallus

Nathan Kallus

Cornell University

H-index: 34
Jamie E Collins

Jamie E Collins

Harvard University

H-index: 31
Pierre Nugues

Pierre Nugues

Lunds Universitet

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