A. J. Feelders

32 papers A* 4A 3B 5Misc 2Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Detection of Critical Events in Renewable Energy Production Time Series. CoRR Laurens P. Stoop, Erik Duijm, A. J. Feelders, Machteld van den Broek
2024	J	`jnl`	Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review. CoRR Michiel P. Bron, Peter G. M. van der Heijden, A. J. Feelders, Arno P. J. M. Siebes
2022	Misc	`conf`	Adding Domain Knowledge to Improve Entity Resolution in 17th and 18th Century Amsterdam Archival Records. SEMANTiCS Jurian Baas, Leon van Wissen, Jirsi Reinders, Mehdi M. Dastani, A. J. Feelders
2021	—	`conf`	Exploiting Transitivity for Entity Matching. ESWC (Satellite Events) Jurian Baas, Mehdi Dastani, A. J. Feelders
2020	—	`conf`	Real-Time Outlier Detection in Time Series Data of Water Sensors. AALTD@PKDD/ECML Luuk van de Wiel, Daniel M. van Es, A. J. Feelders
2016	J	`jnl`	Learning from incomplete data in Bayesian networks with qualitative influences. Int. J. Approx. Reason. Andrés R. Masegosa, A. J. Feelders, Linda C. van der Gaag
2014	—	`ed.`	Probabilistic Graphical Models - 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014. Proceedings Probabilistic Graphical Models Linda C. van der Gaag, A. J. Feelders
2007	B	`conf`	Parameter Learning for Bayesian Networks with Strict Qualitative Influences. IDA A. J. Feelders, Robert van Straalen
2006	—	`conf`	Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study. Probabilistic Graphical Models A. J. Feelders, Jevgenijs Ivanovs
2006	J	`jnl`	Learning Bayesian network parameters under order constraints. Int. J. Approx. Reason. A. J. Feelders, Linda C. van der Gaag
2005	B	`ed.`	Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings IDA A. Fazel Famili, Joost N. Kok, José María Peña Sánchez, Arno Siebes, A. J. Feelders
2005	B	`conf`	Bringing order into bayesian-network construction. K-CAP Eveline M. Helsper, Linda C. van der Gaag, A. J. Feelders, Willie Loeffen, Petra L. Geenen, Armin Elbers
2005	J	`jnl`	Confidence intervals for probabilistic network classifiers. Comput. Stat. Data Anal. Michael Egmont-Petersen, A. J. Feelders, Bart Baesens
2005	A*	`conf`	Instability of Classifiers on Categorical Data. ICDM Arno Siebes, Muhammad Subianto, A. J. Feelders
2005	A	`conf`	Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. UAI A. J. Feelders, Linda C. van der Gaag
2004	A	`conf`	Monotonicity in Bayesian Networks. UAI Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders
2003	B	`conf`	Pruning for Monotone Classification Trees. IDA A. J. Feelders, Martijn Pardoel
2002	J	`jnl`	Classification trees for problems with monotonicity constraints. SIGKDD Explor. Rob Potharst, A. J. Feelders
2001	J	`jnl`	A general model for automated business diagnosis. Eur. J. Oper. Res. A. J. Feelders, Hennie A. M. Daniels
2001	B	`conf`	MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA Robert Castelo, A. J. Feelders, Arno Siebes
2000	J	`jnl`	Credit scoring and reject inference with mixture models. Intell. Syst. Account. Finance Manag. A. J. Feelders
2000	J	`jnl`	Methodological and practical aspects of data mining. Inf. Manag. A. J. Feelders, Hennie A. M. Daniels, Marcel Holsheimer
2000	—	`conf`	Prior Knowledge in Economic Applications of Data Mining. PKDD A. J. Feelders
1999	J	`jnl`	Credit scoring and reject inference with mixture models. Intell. Syst. Account. Finance Manag. A. J. Feelders
1999	J	`jnl`	Discussion on the paper by Friedman and Fisher. Stat. Comput. A. J. Feelders
1999	—	`conf`	Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation. PKDD A. J. Feelders
1998	Misc	`conf`	Bootstrapping and Validation of Metamodels in Simulation. WSC Jack P. C. Kleijnen, A. J. Feelders, Russell C. H. Cheng
1998	A*	`conf`	Mining in the Presence of Selectivity Bias and its Application to Reject Inference. KDD A. J. Feelders, Soong Chang, Geoffrey J. McLachlan
1996	—	`conf`	Data mining and related techniques. EUROSIM A. J. Feelders
1996	A*	`conf`	Learning from Biased Data Using Mixture Models. KDD A. J. Feelders
1995	A*	`conf`	Data Mining for Loan Evaluation at ABN AMRO: A Case Study. KDD A. J. Feelders, A. J. F. le Loux, J. W. van't Zand
1995	A	`conf`	On the Statistical Comparison of Inductive Learning Methods. AISTATS A. J. Feelders, W. J. H. Verkooijen