Lars Carlsson

Royal Holloway University of London — United Kingdom

Computer Science · Physical Sciences

37h-index5.7kcitations152works3.52yr avg
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Research Topics

Computational Drug Discovery Methods(54), Machine Learning in Materials Science(23), Metabolomics and Mass Spectrometry Studies(20), Analytical Chemistry and Chromatography(17), Cellular Mechanics and Interactions(7)

Publications152 total

Application of Confidence and Probabilistic Models to Practical Problems
Lecture notes in computer science·2026
Classification with reject option: Distribution-free error guarantees via conformal prediction
Machine Learning with Applications·2025· 1 citedOpen Access
CPSign: conformal prediction for cheminformatics modeling
Journal of Cheminformatics·2024· 13 citedOpen Access
Interactive remote electrical safety laboratory module in biomedical engineering education
Education and Information Technologies·2024Open Access
CPSign - Conformal Prediction for Cheminformatics Modeling
2023· 1 citedOpen Access
On the selection of relevant historical demand data for revenue management applied to transportation
Journal of Revenue and Pricing Management·2022· 1 citedOpen Access
Preface for the Proceedings of Machine Learning Research Volume 152
2021
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling
arXiv (Cornell University)·2021Open Access
Retrain or not retrain: Conformal test martingales for change-point detection
arXiv (Cornell University)·2021· 13 citedOpen Access
Rolling Cargo Management Using a Deep Reinforcement Learning Approach
Logistics·2021· 15 citedOpen Access
Evaluating different approaches to calibrating conformal predictive systems.
2020
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
2019
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
arXiv (Cornell University)·2019· 1 citedOpen Access
Accurate Hit Estimation for Iterative Screening Using Venn–ABERS Predictors
Journal of Chemical Information and Modeling·2019· 10 cited
ExcapeDB: An integrated large scale dataset facilitating Big Data analysis in chemogenomics
Zenodo (CERN European Organization for Nuclear Research)·2019Open Access
ExcapeDB: An integrated large scale dataset facilitating Big Data analysis in chemogenomics
Figshare·2019· 1 citedOpen Access
Predicting Ames Mutagenicity Using Conformal Prediction in the Ames/QSAR International Challenge Project
Mutagenesis·2018· 17 cited
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models
Journal of Chemical Information and Modeling·2018· 39 cited
Multidisciplinary Intervention and Acceptance and Commitment Therapy for Return-to-Work and Increased Employability among Patients with Mental Illness and/or Chronic Pain: A Randomized Controlled Trial
International Journal of Environmental Research and Public Health·2018· 30 citedOpen Access
Conformal and probabilistic prediction with applications: editorial
Machine Learning·2018· 4 citedOpen Access
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Frequent Co-authors

Scott Boyer(16), Ulf Norinder(12), Martin Eklund(11), Ola Spjuth(7), Uno Lindberg(6), Ola Engkvist(5), Hongming Chen(5), Jonna Stålring(5), Jonathan Alvarsson(4), Ingrid Blikstad(4), Nina Jeliazkova(3), Jiangming Sun(3), Catrin Hasselgren Arnby(3), Ernst Ahlberg(3), Ernst Ahlberg Helgee(3), Lina Nyström(2), F Markey(2), Egon Willighagen(2), John W. Mayfield(2), Arvid Berg(2)