A. J. Feelders

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 6

Top Topics

Incomplete Data

Entity Resolution

Bayes Classifier

Stopping Criterion

Top Venues

Int. J. Approx. Reason.

ESWC (Satellite Events)

Publications

Michiel P. Bron, Peter G. M. van der Heijden, A. J. Feelders, Arno P. J. M. Siebes
Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review. CoRR (2024)
Laurens P. Stoop, Erik Duijm, A. J. Feelders, Machteld van den Broek
Detection of Critical Events in Renewable Energy Production Time Series. CoRR (2024)
Jurian Baas, Leon van Wissen, Jirsi Reinders, Mehdi M. Dastani, A. J. Feelders
Adding Domain Knowledge to Improve Entity Resolution in 17th and 18th Century Amsterdam Archival Records. SEMANTiCS (2022)
Jurian Baas, Mehdi Dastani, A. J. Feelders
Exploiting Transitivity for Entity Matching. ESWC (Satellite Events) (2021)
Luuk van de Wiel, Daniel M. van Es, A. J. Feelders
Real-Time Outlier Detection in Time Series Data of Water Sensors. AALTD@PKDD/ECML (2020)
Andrés R. Masegosa, A. J. Feelders, Linda C. van der Gaag
Learning from incomplete data in Bayesian networks with qualitative influences. Int. J. Approx. Reason. 69 (2016)
A. J. Feelders, Robert van Straalen
Parameter Learning for Bayesian Networks with Strict Qualitative Influences. IDA (2007)
A. J. Feelders, Linda C. van der Gaag
Learning Bayesian network parameters under order constraints. Int. J. Approx. Reason. 42 (1-2) (2006)
A. J. Feelders, Jevgenijs Ivanovs
Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study. Probabilistic Graphical Models (2006)
Arno Siebes, Muhammad Subianto, A. J. Feelders
Instability of Classifiers on Categorical Data. ICDM (2005)
Michael Egmont-Petersen, A. J. Feelders, Bart Baesens
Confidence intervals for probabilistic network classifiers. Comput. Stat. Data Anal. 49 (4) (2005)
Eveline M. Helsper, Linda C. van der Gaag, A. J. Feelders, Willie Loeffen, Petra L. Geenen, Armin Elbers
Bringing order into bayesian-network construction. K-CAP (2005)
A. J. Feelders, Linda C. van der Gaag
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. UAI (2005)
Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders
Monotonicity in Bayesian Networks. UAI (2004)
A. J. Feelders, Martijn Pardoel
Pruning for Monotone Classification Trees. IDA (2003)
Rob Potharst, A. J. Feelders
Classification trees for problems with monotonicity constraints. SIGKDD Explor. 4 (1) (2002)
A. J. Feelders, Hennie A. M. Daniels
A general model for automated business diagnosis. Eur. J. Oper. Res. 130 (3) (2001)
Robert Castelo, A. J. Feelders, Arno Siebes
MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA (2001)
A. J. Feelders, Hennie A. M. Daniels, Marcel Holsheimer
Methodological and practical aspects of data mining. Inf. Manag. 37 (5) (2000)
A. J. Feelders
Prior Knowledge in Economic Applications of Data Mining. PKDD (2000)
A. J. Feelders
Credit scoring and reject inference with mixture models. Intell. Syst. Account. Finance Manag. 9 (1) (2000)
A. J. Feelders
Credit scoring and reject inference with mixture models. Intell. Syst. Account. Finance Manag. 8 (4) (1999)
A. J. Feelders
Discussion on the paper by Friedman and Fisher. Stat. Comput. 9 (2) (1999)
A. J. Feelders
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation. PKDD (1999)
Jack P. C. Kleijnen, A. J. Feelders, Russell C. H. Cheng
Bootstrapping and Validation of Metamodels in Simulation. WSC (1998)
A. J. Feelders, Soong Chang, Geoffrey J. McLachlan
Mining in the Presence of Selectivity Bias and its Application to Reject Inference. KDD (1998)
A. J. Feelders
Data mining and related techniques. EUROSIM (1996)
A. J. Feelders
Learning from Biased Data Using Mixture Models. KDD (1996)
A. J. Feelders, W. J. H. Verkooijen
On the Statistical Comparison of Inductive Learning Methods. AISTATS (1995)
A. J. Feelders, A. J. F. le Loux, J. W. van't Zand
Data Mining for Loan Evaluation at ABN AMRO: A Case Study. KDD (1995)