Ad Feelders

41 papers A* 6A 7B 6C 2Journal 10Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review.
ACM Trans. Inf. Syst.
Michiel P. Bron, Peter G. M. van der Heijden, Ad Feelders, Arno Siebes
2025 — conf
World Cup of Flags: A Multi-relational Competitive Vexillology Dataset from Twitter.
Challenges and Algorithms for Knowledge Discovery from Data
Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe
2023 — conf
Explaining Model Behavior with Global Causal Analysis.
xAI (1)
Marcel Robeer, Floris Bex, Ad Feelders, Henry Prakken
2021 — conf
Detection of Critical Events in Renewable Energy Production Time Series.
AALTD@ECML/PKDD
Laurens P. Stoop, Erik Duijm, Ad Feelders, Machteld van den Broek
2021 — conf
Entity Matching in Digital Humanities Knowledge Graphs.
CHR
Juriaan Baas, Mehdi M. Dastani, Ad Feelders
2021 J jnl
Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs.
CoRR
Jurian Baas, Mehdi Dastani, Ad Feelders
2021 — conf
Generating Realistic Natural Language Counterfactuals.
EMNLP (Findings)
Marcel Robeer, Floris Bex, Ad Feelders
2020 B ed.
Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings
IDA
Michael R. Berthold, Ad Feelders, Georg Krempl
2020 C conf
Tailored Graph Embeddings for Entity Alignment on Historical Data.
iiWAS
Jurian Baas, Mehdi Dastani, Ad Feelders
2019 — conf
Conditional Forecasting of Water Level Time Series with RNNs.
AALTD@PKDD/ECML
Bart J. van der Lugt, Ad Feelders
2018 J jnl
Data-driven fraud detection in international shipping.
Expert Syst. Appl.
Ron Triepels, Hennie Daniels, Ad Feelders
2016 J jnl
Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts.
Data Min. Knowl. Discov.
Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe
2016 B conf
Exploiting monotonicity constraints to reduce label noise: An experimental evaluation.
IJCNN
Ad Feelders, Tijmen Kolkman
2015 B conf
A Quantitative Comparison of Semantic Web Page Segmentation Approaches.
ICWE
Robert Kreuzer, Jurriaan Hage, Ad Feelders
2015 J jnl
Efficient algorithms for finding optimal binary features in numeric and nominal labeled data.
Knowl. Inf. Syst.
Michael Mampaey, Siegfried Nijssen, Ad Feelders, Rob M. Konijn, Arno J. Knobbe
2015 A conf
Exceptional Model Mining with Tree-Constrained Gradient Ascent.
SDM
Thomas E. Krak, Ad Feelders
2015 — conf
Uncovering Document Fraud in Maritime Freight Transport Based on Probabilistic Classification.
CISIM
Ron Triepels, Ad Feelders, Hennie A. M. Daniels
2014 A conf
Exploiting Monotonicity Constraints in Active Learning for Ordinal Classification.
SDM
Pieter Soons, Ad Feelders
2014 B conf
Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability.
IDA
Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
2014 A conf
Real-time Adaptive Problem Detection in Poultry.
ECAI
Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
2012 J jnl
A new parameter Learning Method for Bayesian Networks with Qualitative Influences
CoRR
Ad Feelders
2012 A conf
Active Learning with Monotonicity Constraints.
SDM
Nicola Barile, Ad Feelders
2012 A* conf
Different slopes for different folks: mining for exceptional regression models with cook's distance.
KDD
Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe
2012 A* conf
Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data.
ICDM
Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno J. Knobbe
2012 J jnl
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences
CoRR
Ad Feelders, Linda C. van der Gaag
2012 J jnl
Monotonicity in Bayesian Networks
CoRR
Linda C. van der Gaag, Hans L. Bodlaender, Ad Feelders
2012 A conf
Probability estimation and a competence model for rule based e-tutoring systems.
LAK
Diederik M. Roijers, Johan Jeuring, Ad Feelders
2011 B conf
Monotone Instance Ranking with mira.
Discovery Science
Nicola Barile, Ad Feelders
2011 A* conf
On Generating All Optimal Monotone Classifications.
ICDM
Luite Stegeman, Ad Feelders
2011 C conf
When Learning Naive Bayesian Classifiers Preserves Monotonicity.
ECSQARU
Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders
2010 A* conf
Monotone Relabeling in Ordinal Classification.
ICDM
Ad Feelders
2010 A* conf
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach.
ICDM
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen
2009 — conf
Aligning Bayesian Network Classifiers with Medical Contexts.
MLDM
Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser
2009 B conf
Isotonic Classification Trees.
IDA
Rémon van de Kamp, Ad Feelders, Nicola Barile
2008 J jnl
An Experimental Comparison of Different Inclusion Relations in Frequent Tree Mining.
Fundam. Informaticae
Jeroen De Knijf, Ad Feelders
2008 — conf
Exceptional Model Mining.
ECML/PKDD (2)
Dennis Leman, Ad Feelders, Arno J. Knobbe
2008 — conf
Nearest Neighbour Classification with Monotonicity Constraints.
ECML/PKDD (1)
Wouter Duivesteijn, Ad Feelders
2008 A* conf
Nonparametric Monotone Classification with MOCA.
ICDM
Nicola Barile, Ad Feelders
2007 A conf
A new parameter Learning Method for Bayesian Networks with Qualitative Influences.
UAI
Ad Feelders
2005 A conf
Learning Bayesian Network Models from Incomplete Data using Importance Sampling.
AISTATS
Carsten Riggelsen, Ad Feelders
1992 J jnl
Explanation and diagnosis in business assessment.
IEEE Trans. Syst. Man Cybern.
Hennie A. M. Daniels, Ad Feelders