Henrik Boström
机构: Professor of computer science - data science systems, KTH Royal Institute of Technology
每年引用次数
引用次数
引用: 3,839
H-指数: 30
I10-指数 : 95
出版物: 220
Advancing Antibiotic Resistance Classification with Deep Learning Using Protein Sequence and Structure
Aymen Qabel , Sofiane Ennadir , Giannis Nikolentzos , Johannes F Lutzeyer
bioRxiv 2022.10. 06.511103 -2022.10. 06.511103
1
2022
Assessing Explanation Quality by Venn Prediction
Amr Alkhatib , Henrik Boström , Ulf Johansson
Conformal and Probabilistic Prediction with Applications 42 -54
1
2022
Well-calibrated and sharp interpretable multi-class models
Ulf Johansson , Tuwe Löfström , Henrik Boström
Springer International Publishing 193 -204
1
2021
Orthogonal Mixture of Hidden Markov Models
Negar Safinianaini , Camila PE de Souza , Henrik Boström , Jens Lagergren
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part I 509 -525
1
2021
An interactive visual tool to enhance understanding of random forest predictions
R Gurung , Tony Lindgren , Henrik Boström
In European Conference on Data Analysis (ECDA)
1
2019
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Yassine Abbahaddou , Sofiane Ennadir , Johannes F Lutzeyer , Michalis Vazirgiannis
arXiv preprint arXiv:2404.17947
2024
Example-Based Explanations of Random Forest Predictions
Henrik Boström
Springer Nature Switzerland 185 -196
2024
UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks
Sofiane Ennadir , Amr Alkhatib , Giannis Nikolentzos , Michalis Vazirgiannis
Springer Nature Switzerland 100 -111
2023
Project links
Henrik Boström , OS Independent
2022
pypi i crepes Follow
Henrik Boström
2022
Classication of aerosol particles using inductive conformal prediction
Linn Karlsson , Henrik Boström , Paul Zieger
Conformal and Probabilistic Prediction and Applications 257 -268
2020
Conformal Prediction and Venn Predictors
Ulf Johansson , Henrik Linusson , Tuve Löfström , Henrik Boström
2019
conformal prediction
Henrik Linusson , Ulf Johansson , Tuve Löfström , Henrik Boström
2014
The INFUSIS Project
Henrik Boström , Ulf Norinder , Ulf Johansson , Cecilia Sönströd
2010
The INFUSIS Project–Data and Text Mining for In Silico Modeling
Henrik Boström , Ulf Norinder , Ulf Johansson , Cecilia Sönströd
The 26th annual workshop of the Swedish Artificial Intelligence Society (SAIS) 65 -65
2010
The effect of background knowledge in graph-based learning in the chemoinformatics domain
Thashmee Karunaratne , Henrik Boström
Trends in Intelligent Systems and Computer Engineering 141 -153
2008
Using Background Knowledge for Graph Based Learning: a Case Study in Chemoinformatics (extended version)
Thashmee Karunaratne , Henrik Boström
International Multiconference of Engineers and Computer Sceinctisit 153 -157
2007
Use of frequent itemset mining for learning from graphs–what is gained and what is lost?
Thashmee Karunaratne , Henrik Boström
2006
An unsupervised approach to substructure discovery for learning from structured data
Thashmee Karunaratne , Henrik Boström
Innovations for a Knowledge Economy 117 -117
2006
of Gene Expression Array Data
Lars Asker Per Lidén , Henrik Boström
Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002, Helsinki, Finland, August 19–23, 2002, Proceedings 2431 338 -338
2003
Ulf Johansson Tuwe Löfström Lars Asker Henrik Linusson Panagiotis Papapetrou Ulf Norinder Jing Zhao Cecilia Sönströd Aron Henriksson Tony Lindgren Sampath Deegalla Thashmee Karunaratne Amos H.C. Ng Ronnie Johansson Carlos J. Alonso González Hercules Dalianis Alexander Karlsson Kai Puolamäki Lars Carlsson Juan J. Rodríguez (ORCID:0000-0002-3291-2739)