Lars Carlsson
Orcid: 0000-0001-9491-4134
According to our database1,
Lars Carlsson
authored at least 55 papers
between 2007 and 2023.
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Bibliography
2023
Evaluation of conformal-based probabilistic forecasting methods for short-term wind speed forecasting.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
2022
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022
2021
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling.
CoRR, 2021
Evaluation of updating strategies for conformal predictive systems in the presence of extreme events.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021
2020
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020
2019
Mach. Learn., 2019
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models.
J. Chem. Inf. Model., 2019
J. Chem. Inf. Model., 2019
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019
ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
2018
Conformal Regression for Quantitative Structure-Activity Relationship Modeling - Quantifying Prediction Uncertainty.
J. Chem. Inf. Model., 2018
Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction.
CoRR, 2018
Conformal prediction in learning under privileged information paradigm with applications in drug discovery.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018
2017
Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets.
J. Chem. Inf. Model., July, 2017
Erratum to: The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching.
J. Cheminformatics, 2017
The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching.
J. Cheminformatics, 2017
Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.
J. Cheminformatics, 2017
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.
J. Cheminformatics, 2017
Current application of conformal prediction in drug discovery - Two useful applications.
Ann. Math. Artif. Intell., 2017
Comparing Performance of Different Inductive and Transductive Conformal Predictors Relevant to Drug Discovery.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017
2015
J. Chem. Inf. Model., 2015
Ann. Math. Artif. Intell., 2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015
2014
Assessment of Machine Learning Reliability Methods for Quantifying the Applicability Domain of QSAR Regression Models.
J. Chem. Inf. Model., 2014
Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination.
J. Chem. Inf. Model., 2014
J. Chem. Inf. Model., 2014
Beyond the Scope of Free-Wilson Analysis. 2 Can Distance Encoded R-Group Fingerprints Provide Interpretable Nonlinear Models?
J. Chem. Inf. Model., 2014
J. Chem. Inf. Model., 2014
J. Chem. Inf. Model., 2014
Benchmarking Study of Parameter Variation When Using Signature Fingerprints Together with Support Vector Machines.
J. Chem. Inf. Model., 2014
Proceedings of the Artificial Intelligence Applications and Innovations, 2014
2013
Localized Heuristic Inverse Quantitative Structure Activity Relationship with Bulk Descriptors Using Numerical Gradients.
J. Chem. Inf. Model., 2013
Beyond the Scope of Free-Wilson Analysis: Building Interpretable QSAR Models with Machine Learning Algorithms.
J. Chem. Inf. Model., 2013
QSAR with experimental and predictive distributions: an information theoretic approach for assessing model quality.
J. Comput. Aided Mol. Des., 2013
Bioclipse-R: integrating management and visualization of life science data with statistical analysis.
Bioinform., 2013
2012
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
2011
J. Chem. Inf. Model., 2011
AZOrange - High performance open source machine learning for QSAR modeling in a graphical programming environment.
J. Cheminformatics, 2011
2010
Evaluation of Quantitative Structure-Activity Relationship Modeling Strategies: Local and Global Models.
J. Chem. Inf. Model., 2010
Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse.
BMC Bioinform., 2010
2009
J. Chem. Inf. Model., 2009
J. Chem. Inf. Model., 2009
2007