Ad Feelders

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 14

Top Topics

Exceptional Model Mining

Ordinal Classification

Page Segmentation

Renewable Energy

Top Venues

Publications

Marcel Robeer, Floris Bex, Ad Feelders, Henry Prakken
Explaining Model Behavior with Global Causal Analysis. xAI (1) (2023)
Laurens P. Stoop, Erik Duijm, Ad Feelders, Machteld van den Broek
Detection of Critical Events in Renewable Energy Production Time Series. AALTD@ECML/PKDD (2021)
Marcel Robeer, Floris Bex, Ad Feelders
Generating Realistic Natural Language Counterfactuals. EMNLP (Findings) (2021)
Jurian Baas, Mehdi Dastani, Ad Feelders
Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs. CoRR (2021)
Juriaan Baas, Mehdi M. Dastani, Ad Feelders
Entity Matching in Digital Humanities Knowledge Graphs. CHR (2021)
Jurian Baas, Mehdi Dastani, Ad Feelders
Tailored Graph Embeddings for Entity Alignment on Historical Data. iiWAS (2020)
Bart J. van der Lugt, Ad Feelders
Conditional Forecasting of Water Level Time Series with RNNs. AALTD@PKDD/ECML (2019)
Ron Triepels, Hennie Daniels, Ad Feelders
Data-driven fraud detection in international shipping. Expert Syst. Appl. 99 (2018)
Ad Feelders, Tijmen Kolkman
Exploiting monotonicity constraints to reduce label noise: An experimental evaluation. IJCNN (2016)
Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe
Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts. Data Min. Knowl. Discov. 30 (1) (2016)
Ron Triepels, Ad Feelders, Hennie A. M. Daniels
Uncovering Document Fraud in Maritime Freight Transport Based on Probabilistic Classification. CISIM (2015)
Michael Mampaey, Siegfried Nijssen, Ad Feelders, Rob M. Konijn, Arno J. Knobbe
Efficient algorithms for finding optimal binary features in numeric and nominal labeled data. Knowl. Inf. Syst. 42 (2) (2015)
Robert Kreuzer, Jurriaan Hage, Ad Feelders
A Quantitative Comparison of Semantic Web Page Segmentation Approaches. ICWE (2015)
Thomas E. Krak, Ad Feelders
Exceptional Model Mining with Tree-Constrained Gradient Ascent. SDM (2015)
Pieter Soons, Ad Feelders
Exploiting Monotonicity Constraints in Active Learning for Ordinal Classification. SDM (2014)
Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability. IDA (2014)
Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
Real-time Adaptive Problem Detection in Poultry. ECAI (2014)
Diederik M. Roijers, Johan Jeuring, Ad Feelders
Probability estimation and a competence model for rule based e-tutoring systems. LAK (2012)
Nicola Barile, Ad Feelders
Active Learning with Monotonicity Constraints. SDM (2012)
Linda C. van der Gaag, Hans L. Bodlaender, Ad Feelders
Monotonicity in Bayesian Networks CoRR (2012)
Ad Feelders, Linda C. van der Gaag
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences CoRR (2012)
Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe
Different slopes for different folks: mining for exceptional regression models with cook's distance. KDD (2012)
Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno J. Knobbe
Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data. ICDM (2012)
Ad Feelders
A new parameter Learning Method for Bayesian Networks with Qualitative Influences CoRR (2012)
Nicola Barile, Ad Feelders
Monotone Instance Ranking with mira. Discovery Science (2011)
Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders
When Learning Naive Bayesian Classifiers Preserves Monotonicity. ECSQARU (2011)
Luite Stegeman, Ad Feelders
On Generating All Optimal Monotone Classifications. ICDM (2011)
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach. ICDM (2010)
Ad Feelders
Monotone Relabeling in Ordinal Classification. ICDM (2010)
Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser
Aligning Bayesian Network Classifiers with Medical Contexts. MLDM (2009)
Rémon van de Kamp, Ad Feelders, Nicola Barile
Isotonic Classification Trees. IDA (2009)
Wouter Duivesteijn, Ad Feelders
Nearest Neighbour Classification with Monotonicity Constraints. ECML/PKDD (1) (2008)
Nicola Barile, Ad Feelders
Nonparametric Monotone Classification with MOCA. ICDM (2008)
Dennis Leman, Ad Feelders, Arno J. Knobbe
Exceptional Model Mining. ECML/PKDD (2) (2008)
Jeroen De Knijf, Ad Feelders
An Experimental Comparison of Different Inclusion Relations in Frequent Tree Mining. Fundam. Informaticae 89 (1) (2008)
Ad Feelders
A new parameter Learning Method for Bayesian Networks with Qualitative Influences. UAI (2007)
Carsten Riggelsen, Ad Feelders
Learning Bayesian Network Models from Incomplete Data using Importance Sampling. AISTATS (2005)
Hennie A. M. Daniels, Ad Feelders
Explanation and diagnosis in business assessment. IEEE Trans. Syst. Man Cybern. 22 (2) (1992)