Erik Strumbelj

34 papers B 1Journal 25Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Review of the Negative Effects of Digital Technology on Cognition.
CoRR
Urska Znidaric, Erik Strumbelj, Octavian Machidon
2026 J jnl
SyntheRela: A Benchmark For Synthetic Relational Database Generation.
Trans. Mach. Learn. Res.
Valter Hudovernik, Martin Jurkovic, Erik Strumbelj
2025 J jnl
Empirical evaluation of normalizing flows in Markov chain Monte Carlo.
Mach. Learn.
David Nabergoj, Erik Strumbelj
2025 — conf
Position: Explainable AI Cannot Advance Without Better User Studies.
ICML (Position Papers)
Matej Piculin, Bernarda Petek, Irena Ograjensek, Erik Strumbelj
2025 J jnl
Reducing normalizing flow complexity for MCMC preconditioning.
CoRR
David Nabergoj, Erik Strumbelj
2025 J jnl
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models.
CoRR
Valter Hudovernik, Minkai Xu, Juntong Shi, Lovro Subelj, Stefano Ermon, Erik Strumbelj, Jure Leskovec
2024 J jnl
Benchmarking the Fidelity and Utility of Synthetic Relational Data.
CoRR
Valter Hudovernik, Martin Jurkovic, Erik Strumbelj
2024 J jnl
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo.
CoRR
David Nabergoj, Erik Strumbelj
2022 J jnl
Bayesian Gaussian process factor analysis with copula for count data.
Expert Syst. Appl.
Gregor Pirs, Erik Strumbelj
2021 J jnl
Predicting the Popularity of Games on Steam.
CoRR
Andraz De Luisa, Jan Hartman, David Nabergoj, Samo Pahor, Marko Rus, Bozhidar Stevanoski, Jure Demsar, Erik Strumbelj
2020 — conf
Automated OpenCL GPU kernel fusion for Stan Math.
IWOCL
Tadej Ciglaric, Rok Cesnovar, Erik Strumbelj
2020 J jnl
Automatic attribute construction for basketball modelling.
Knowl. Inf. Syst.
Petar Vracar, Erik Strumbelj, Igor Kononenko
2020 — conf
Opportunistic Positioning Using Unsynchronized References: Crowd Systems - Smartphones: Signals of opportunity, cellular systems (4G, 5G, WLAN, ...).
ENC
Matija Rezar, Erik Strumbelj, Giacomo Pojani, Chris Marshall
2019 J jnl
An OpenCL library for parallel random number generators.
J. Supercomput.
Tadej Ciglaric, Rok Cesnovar, Erik Strumbelj
2019 J jnl
Bayesian Combination of Probabilistic Classifiers using Multivariate Normal Mixtures.
J. Mach. Learn. Res.
Gregor Pirs, Erik Strumbelj
2019 J jnl
Evaluating existing manually constructed natural landscape classification with a machine learning-based approach.
J. Spatial Inf. Sci.
Rok Ciglic, Erik Strumbelj, Rok Cesnovar, Mauro Hrvatin, Drago Perko
2019 J jnl
GPU-based Parallel Computation Support for Stan.
CoRR
Rok Cesnovar, Steve Bronder, Davor Sluga, Jure Demsar, Tadej Ciglaric, Sean Talts, Erik Strumbelj
2019 J jnl
bayes4psy - an Open Source R Package for Bayesian Statistics in Psychology.
CoRR
Jure Demsar, Grega Repovs, Erik Strumbelj
2018 J jnl
A Bayesian approach to forecasting daily air-pollutant levels.
Knowl. Inf. Syst.
Jana Faganeli Pucer, Gregor Pirs, Erik Strumbelj
2018 — ch.
Explaining the Predictions of an Arbitrary Prediction Model: Feature Contributions and Quasi-nomograms.
Human and Machine Learning
Erik Strumbelj, Igor Kononenko
2016 J jnl
Modeling basketball play-by-play data.
Expert Syst. Appl.
Petar Vracar, Erik Strumbelj, Igor Kononenko
2015 J jnl
Predictive power of fantasy sports data for soccer forecasting.
Int. J. Data Min. Model. Manag.
Erik Strumbelj, Marko Robnik-Sikonja
2014 J jnl
Explaining prediction models and individual predictions with feature contributions.
Knowl. Inf. Syst.
Erik Strumbelj, Igor Kononenko
2013 J jnl
Efficiently explaining the predictions of a probabilistic radial basis function classification network.
Intell. Data Anal.
Marko Robnik-Sikonja, Erik Strumbelj, Igor Kononenko
2013 J jnl
Explanation and Reliability of Individual Predictions.
Informatica (Slovenia)
Igor Kononenko, Erik Strumbelj, Zoran Bosnic, Darko Pevec, Matjaz Kukar, Marko Robnik-Sikonja
2012 J jnl
Quality of classification explanations with PRBF.
Neurocomputing
Marko Robnik-Sikonja, Igor Kononenko, Erik Strumbelj
2011 — conf
A General Method for Visualizing and Explaining Black-Box Regression Models.
ICANNGA (2)
Erik Strumbelj, Igor Kononenko
2011 — conf
Efficiently Explaining Decisions of Probabilistic RBF Classification Networks.
ICANNGA (1)
Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj
2011 — conf
Evaluating Reliability of Single Classifications of Neural Networks.
ICANNGA (1)
Darko Pevec, Erik Strumbelj, Igor Kononenko
2010 J jnl
An Efficient Explanation of Individual Classifications using Game Theory.
J. Mach. Learn. Res.
Erik Strumbelj, Igor Kononenko
2010 J jnl
Explanation and reliability of prediction models: the case of breast cancer recurrence.
Knowl. Inf. Syst.
Erik Strumbelj, Zoran Bosnic, Igor Kononenko, Branko Zakotnik, Cvetka Grasic Kuhar
2009 J jnl
Explaining instance classifications with interactions of subsets of feature values.
Data Knowl. Eng.
Erik Strumbelj, Igor Kononenko, Marko Robnik-Sikonja
2009 — conf
Learning Betting Tips from Users' Bet Selections.
MLDM
Erik Strumbelj, Marko Robnik-Sikonja, Igor Kononenko
2008 B conf
Towards a Model Independent Method for Explaining Classification for Individual Instances.
DaWaK
Erik Strumbelj, Igor Kononenko