Alexander Karlsson

University of Skövde — Sweden

Computer Science · Physical Sciences

13h-index769citations92works1.32yr avg
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Research Topics

Bayesian Modeling and Causal Inference(13), Anomaly Detection Techniques and Applications(12), Autonomous Vehicle Technology and Safety(7), Multi-Criteria Decision Making(6), Computational Drug Discovery Methods(6)

Publications92 total

Imbalanced data oversampling through subspace optimization with Bayesian reinforcement
Artificial Intelligence Review·2025Open Access
Data-Driven Prediction of Vehicle-Vulnerable Road User Collisions at Road Intersections Using Machine Learning Models
Procedia Computer Science·2025Open Access
Predicting Remaining Useful Life with Sparse Measurement Data
IFAC-PapersOnLine·2025Open Access
Designing deep neural networks for driver intention recognition
Engineering Applications of Artificial Intelligence·2024· 4 citedOpen Access
PT-HMC: Optimization-based Pre-Training with Hamiltonian Monte-Carlo Sampling for Driver Intention Recognition
ACM transactions on probabilistic machine learning.·2024· 2 citedOpen Access
Designing deep neural networks for driver intention recognition
arXiv (Cornell University)·2024Open Access
Condition Monitoring of a Machine Tool Ballscrew Using Wavelet Transform based Unsupervised Learning
Procedia CIRP·2024· 3 citedOpen Access
Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition
2023· 1 citedOpen Access
Driver Intention Recognition: State-of-the-Art Review
IEEE Open Journal of Intelligent Transportation Systems·2022· 39 citedOpen Access
A Data-Driven Approach to Air Leakage Detection in Pneumatic Systems
2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)·2021· 5 cited
Multi-Machine Gaussian Topic Modeling for Predictive Maintenance
IEEE Access·2021· 4 citedOpen Access
Multi-assignment clustering: Machine learning from a biological perspective
Journal of Biotechnology·2020· 4 citedOpen Access
Increased Network Monitoring Support through Topic Modelling
International Journal of Information Communication Technology and Applications·2020Open Access
Evaluation of Uncertainty Quantification in Deep Learning
Communications in computer and information science·2020· 40 citedOpen Access
Verksamhetsutveckling inom service och eftermarknad : En affärskartläggning inom hälso- och sjukvårdssektorn
2020
Topic modeling for anomaly detection in telecommunication networks
Journal of Ambient Intelligence and Humanized Computing·2019· 6 citedOpen Access
Deep Reinforcement Learning for Multiparameter Optimization in <i>de novo</i> Drug Design
Journal of Chemical Information and Modeling·2019· 204 cited
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
2019· 4 citedOpen Access
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
2019· 45 citedOpen Access
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
2019· 1 citedOpen Access
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Frequent Co-authors

H. Joe Steinhauer(15), Göran Falkman(12), Gunnar Mathiason(12), Ronnie Johansson(9), Niclas Ståhl(7), Sten F. Andler(6), Maria Riveiro(5), Jonas Boström(4), David Sundgren(4), Tove Helldin(4), Henrik Boström(3), Koen Vellenga(3), S.F. Andler(3), Lars Niklasson(2), Asli Rhodin(2), Ashok Chaitanya Koppisetty(2), Mohamed-Rafik Bouguelia(2), Anders Holst(2), Rolf Johansson(2), Benjamin Ulfenborg(2)