Henrik Boström

Henrik Boström

Kungliga Tekniska högskolan

H-index: 29

Europe-Sweden

About Henrik Boström

Henrik Boström, With an exceptional h-index of 29 and a recent h-index of 20 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of data science, machine learning, data mining.

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

Example-Based Explanations of Random Forest Predictions

A Simple and Yet Fairly Effective Defense for Graph Neural Networks

Can local explanation techniques explain linear additive models?

Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks

Interpretable graph neural networks for tabular data

Tutorial on using Conformal Predictive Systems in KNIME

Conformal predictive distribution trees

Mondrian Predictive Systems for Censored Data

Henrik Boström Information

University

Position

Professor in computer science - data science systems

Citations(all)

3678

Citations(since 2020)

1808

Cited By

2596

hIndex(all)

29

hIndex(since 2020)

20

i10Index(all)

92

i10Index(since 2020)

48

Email

University Profile Page

Kungliga Tekniska högskolan

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Henrik Boström Skills & Research Interests

data science

machine learning

data mining

Top articles of Henrik Boström

Title

Journal

Author(s)

Publication Date

Example-Based Explanations of Random Forest Predictions

Henrik Boström

2024/4/16

A Simple and Yet Fairly Effective Defense for Graph Neural Networks

AAAI Conference on Artificial Intelligence (AAAI)

Sofiane Ennadir

Yassine Abbahaddou

Johannes F Lutzeyer

Michalis Vazirgiannis

Henrik Boström

2024/2/21

Can local explanation techniques explain linear additive models?

Data Mining and Knowledge Discovery

Amir Hossein Akhavan Rahnama

Judith Bütepage

Pierre Geurts

Henrik Boström

2024/1

Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks

Yassine ABBAHADDOU

Sofiane ENNADIR

Johannes F Lutzeyer

Michalis Vazirgiannis

Henrik Boström

2023/10/13

Interpretable graph neural networks for tabular data

arXiv preprint arXiv:2308.08945

Amr Alkhatib

Sofiane Ennadir

Henrik Boström

Michalis Vazirgiannis

2023/8/17

Tutorial on using Conformal Predictive Systems in KNIME

Tuwe Lofstrom

Alexander Bondaletov

Artem Ryasik

Henrik Bostrom

Ulf Johansson

2023/8/17

Conformal predictive distribution trees

Annals of Mathematics and Artificial Intelligence

Ulf Johansson

Tuwe Löfström

Henrik Boström

2023/6/3

Mondrian Predictive Systems for Censored Data

Henrik Bostrom

Henrik Linusson

Anders Vesterberg

2023/8/17

Conformalized Adversarial Attack Detection for Graph Neural Networks

Sofiane Ennadir

Amr Alkhatib

Henrik Bostrom

Michalis Vazirgiannis

2023/8/17

Investigating the Contribution of Privileged Information in Knowledge Transfer LUPI by Explainable Machine Learning

Niharika Gauraha

Henrik Bostrom

2023/8/17

UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks

Sofiane Ennadir

Amr Alkhatib

Giannis Nikolentzos

Michalis Vazirgiannis

Henrik Boström

2023/11/28

Approximating Score-based Explanation Techniques Using Conformal Regression

Amr Alkhatib

Henrik Bostrom

Sofiane Ennadir

Ulf Johansson

2023/8/17

Confidence Classifiers with Guaranteed Accuracy or Precision

Ulf Johansson

Cecilia Sonstrod

Tuwe Lofstrom

Henrik Bostrom

2023/8/17

pypi i crepes Follow

Henrik Boström

2022

Assessing Explanation Quality by Venn Prediction

Amr Alkhatib

Henrik Boström

Ulf Johansson

2022/8/30

Image keypoint matching using graph neural networks

Nancy Xu

Giannis Nikolentzos

Michalis Vazirgiannis

Henrik Boström

2022

Conformal Regressors and Predictive Systems–a Gentle Introduction

Henrik Boström

2022/8/24

Structure-Aware Antibiotic Resistance Classification Using Graph Neural Networks

NeurIPS AI for Science Workshop

Aymen Qabel

Sofiane Ennadir

Giannis Nikolentzos

Johannes F Lutzeyer

Michail Chatzianastasis

...

2022/1/1

Rule extraction with guarantees from regression models

Pattern Recognition

Ulf Johansson

Cecilia Sönströd

Tuwe Löfström

Henrik Boström

2022/6/1

Advancing Antibiotic Resistance Classification with Deep Learning Using Protein Sequence and Structure

bioRxiv

Aymen Qabel

Sofiane Ennadir

Giannis Nikolentzos

Johannes F Lutzeyer

Michail Chatzianastasis

...

2022/10/8

See List of Professors in Henrik Boström University(Kungliga Tekniska högskolan)

Co-Authors

H-index: 80
Jing Zhao

Jing Zhao

North Carolina State University

H-index: 48
Ulf Norinder

Ulf Norinder

Stockholms universitet

H-index: 30
Amos H.C. Ng

Amos H.C. Ng

Högskolan i Skövde

H-index: 29
Hercules Dalianis

Hercules Dalianis

Stockholms universitet

H-index: 28
Kai Puolamäki

Kai Puolamäki

Helsingin yliopisto

H-index: 25
Panagiotis Papapetrou

Panagiotis Papapetrou

Stockholms universitet

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