Ad Feelders - researchr alias

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Viewing Publication 1 - 32 from 32

2023

Explaining Model Behavior with Global Causal AnalysisMarcel Robeer, Floris Bex, Ad Feelders, Henry Prakken. xai 2023: 299-323 [doi]

2021

Entity Matching in Digital Humanities Knowledge GraphsJuriaan Baas, Mehdi M. Dastani, Ad Feelders. chr 2021: 1-15 [doi]

Generating Realistic Natural Language CounterfactualsMarcel Robeer, Floris Bex, Ad Feelders. emnlp 2021: 3611-3625 [doi]

Detection of Critical Events in Renewable Energy Production Time SeriesLaurens P. Stoop, Erik Duijm, Ad Feelders, Machteld van den Broek. aaltd 2021: 104-119 [doi]

2020

Tailored Graph Embeddings for Entity Alignment on Historical DataJurian Baas, Mehdi Dastani, Ad Feelders. iiwas 2020: 125-133 [doi]

2018

Data-driven fraud detection in international shippingRon Triepels, Hennie Daniels, Ad Feelders. eswa, 99:193-202, 2018. [doi]

2016

Exceptional Model Mining - Supervised descriptive local pattern mining with complex target conceptsWouter Duivesteijn, Ad Feelders, Arno J. Knobbe. datamine, 30(1):47-98, 2016. [doi]

Exploiting monotonicity constraints to reduce label noise: An experimental evaluationAd Feelders, Tijmen Kolkman. ijcnn 2016: 2148-2155 [doi]

2015

2014

Exploiting Monotonicity Constraints in Active Learning for Ordinal ClassificationPieter Soons, Ad Feelders. sdm 2014: 659-667 [doi]

Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural VariabilitySteven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers. ida 2014: 380-392 [doi]

Real-time Adaptive Problem Detection in PoultrySteven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers. ecai 2014: 1217-1218 [doi]

2012

2011

Monotone Instance Ranking with miraNicola Barile, Ad Feelders. dis 2011: 31-45 [doi]

When Learning Naive Bayesian Classifiers Preserves MonotonicityBarbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders. ecsqaru 2011: 422-433 [doi]

On Generating All Optimal Monotone ClassificationsLuite Stegeman, Ad Feelders. icdm 2011: 685-694 [doi]

2010

Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining ApproachWouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen. icdm 2010: 158-167 [doi]

Monotone Relabeling in Ordinal ClassificationAd Feelders. icdm 2010: 803-808 [doi]

2009

Isotonic Classification TreesRÃ©mon van de Kamp, Ad Feelders, Nicola Barile. ida 2009: 405-416 [doi]

Aligning Bayesian Network Classifiers with Medical ContextsLinda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser. mldm 2009: 787-801 [doi]

2008

2007

A new parameter Learning Method for Bayesian Networks with Qualitative InfluencesAd Feelders. uai 2007: 117-124 [doi]

2005

Learning Bayesian Network Models from Incomplete Data using Importance SamplingCarsten Riggelsen, Ad Feelders. aistats 2005: [doi]

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