Ulf Norinder

Orcid: 0000-0003-3107-331X

According to our database1, Ulf Norinder authored at least 42 papers between 1990 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Collaborative SAR Modeling and Prospective In Vitro Validation of Oxidative Stress Activation in Human HepG2 Cells.
J. Chem. Inf. Model., September, 2023

2022
Identifying Novel Inhibitors for Hepatic Organic Anion Transporting Polypeptides by Machine Learning-Based Virtual Screening.
J. Chem. Inf. Model., 2022

2021
Deep Learning-Based Conformal Prediction of Toxicity.
J. Chem. Inf. Model., 2021

ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities.
J. Chem. Inf. Model., 2021

Synergy conformal prediction applied to large-scale bioactivity datasets and in federated learning.
J. Cheminformatics, 2021

Assessing the calibration in toxicological in vitro models with conformal prediction.
J. Cheminformatics, 2021

2020
Correction to "Using Predicted Bioactivity Profiles to Improve Predictive Modeling".
J. Chem. Inf. Model., 2020

Using Predicted Bioactivity Profiles to Improve Predictive Modeling.
J. Chem. Inf. Model., 2020

2019
LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity-Application to the Tox21 and Mutagenicity Data Sets.
J. Chem. Inf. Model., 2019

Multitask Modeling with Confidence Using Matrix Factorization and Conformal Prediction.
J. Chem. Inf. Model., 2019

2018
Conformal Regression for Quantitative Structure-Activity Relationship Modeling - Quantifying Prediction Uncertainty.
J. Chem. Inf. Model., 2018

Maximizing gain in high-throughput screening using conformal prediction.
J. Cheminformatics, 2018

Evaluating parameters for ligand-based modeling with random forest on sparse data sets.
J. Cheminformatics, 2018

2017
Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets.
J. Chem. Inf. Model., July, 2017

Improving Screening Efficiency through Iterative Screening Using Docking and Conformal Prediction.
J. Chem. Inf. Model., 2017

Maximizing Gain in HTS Screening Using Conformal Prediction.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

On the Calibration of Aggregated Conformal Predictors.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

2015
The application of conformal prediction to the drug discovery process.
Ann. Math. Artif. Intell., 2015

Conformal Prediction in Spark: Large-Scale Machine Learning with Confidence.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

2014
Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination.
J. Chem. Inf. Model., 2014

Choosing Feature Selection and Learning Algorithms in QSAR.
J. Chem. Inf. Model., 2014

Aggregated Conformal Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

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

Comparative analysis of the use of chemoinformatics-based and substructure-based descriptors for quantitative structure-activity relationship (QSAR) modeling.
Intell. Data Anal., 2013

2012
Introducing Uncertainty in Predictive Modeling - Friend or Foe?
J. Chem. Inf. Model., 2012

A Pragmatic Approach Using First-Principle Methods to Address Site of Metabolism with Implications for Reactive Metabolite Formation.
J. Chem. Inf. Model., 2012

Application of Conformal Prediction in QSAR.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

2010
Evaluation of Quantitative Structure-Activity Relationship Modeling Strategies: Local and Global Models.
J. Chem. Inf. Model., 2010

Pin-pointing concept descriptions.
Proceedings of the IEEE International Conference on Systems, 2010

Pre-Processing Structured Data for Standard Machine Learning Algorithms by Supervised Graph Propositionalization - A Case Study with Medicinal Chemistry Datasets.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2008
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2004
Global and Local Computational Models for Aqueous Solubility Prediction of Drug-Like Molecules.
J. Chem. Inf. Model., 2004

2003
Molecular Descriptors Influencing Melting Point and Their Role in Classification of Solid Drugs.
J. Chem. Inf. Comput. Sci., 2003

Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection.
Neurocomputing, 2003

2000
Prediction of Polar Surface Area and Drug Transport Processes Using Simple Parameters and PLS Statistics.
J. Chem. Inf. Comput. Sci., 2000

Refinement of Catalyst hypotheses using simplex optimisation.
J. Comput. Aided Mol. Des., 2000

1998
Descriptors for amino acids using MolSurf parametrization.
J. Comput. Chem., 1998

1993
A PLS QSAR analysis using 3D generated aromatic descriptors of principal property type: Application to some dopamine D2 benzamide antagonists.
J. Comput. Aided Mol. Des., 1993

1991
3-D QSAR analysis of steroid/protein interactions: The use of difference maps.
J. Comput. Aided Mol. Des., 1991

1990
Experimental design based 3-D QSAR analysis of steroid-protein interactions: Application to human CBG complexes.
J. Comput. Aided Mol. Des., 1990


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