H2O Metacomputing - Jini Lookup and Discovery. - Dirk Gorissen; Gunther Stuer; Kurt Vanmechelen; Jan Broeckhove (International Conference on Computational Science (2), 2005)

Integrating Gridcomputing and Metamodeling. - Dirk Gorissen; Wouter Hendrickx; Karel Crombecq; Tom Dhaene (CCGRID, 2006)

Integrating heterogeneous information services using JNDI. - Dirk Gorissen; Piotr Wendykier; Dawid Kurzyniec; Vaidy S. Sunderam (IPDPS, 2006)

Adaptive Distributed Metamodeling. - Dirk Gorissen; Karel Crombecq; Wouter Hendrickx; Tom Dhaene (VECPAR, 2006)

Grid enabled sequential design and adaptive metamodeling. - Wouter Hendrickx; Dirk Gorissen; Tom Dhaene (WSC, 2006)

Adaptive Global Metamodeling with Neural Networks. - Dirk Gorissen; Wouter Hendrickx; Tom Dhaene (ESANN, 2007)

Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling. - Dirk Gorissen; Luciano De Tommasi; Jeroen Croon; Tom Dhaene (IEEE Congress on Evolutionary Computation, 2008)

A comparison of sequential design methods for RF circuit block modeling. - Karel Crombecq; Luciano De Tommasi; Dirk Gorissen; Tom Dhaene (WSC, 2008)

Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design. - Dirk Gorissen (Canadian AI, 2009)

Pareto-Based Multi-output Metamodeling with Active Learning. - Dirk Gorissen; Ivo Couckuyt; Eric Laermans; Tom Dhaene (EANN, 2009)

Pareto-Based Multi-output Model Type Selection. - Dirk Gorissen; Ivo Couckuyt; Karel Crombecq; Tom Dhaene (HAIS, 2009)

Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling. - Ivo Couckuyt; Dirk Gorissen; Hamed Rouhani; Eric Laermans; Tom Dhaene (ICANNGA, 2009)

A Novel Sequential Design Strategy for Global Surrogate Modeling. - Karel Crombecq; Dirk Gorissen; Luciano De Tommasi; Tom Dhaene (WSC, 2009)

Evolutionary Model Type Selection for Global Surrogate Modeling. - Dirk Gorissen; Tom Dhaene; Filip De Turck (J. Mach. Learn. Res., 2009)

Sequential modeling of a low noise amplifier with neural networks and active learning. - Dirk Gorissen; Luciano De Tommasi; Karel Crombecq; Tom Dhaene (Neural Comput. Appl., 2009)

Automatic Approximation of Expensive Functions with Active Learning. - Dirk Gorissen; Karel Crombecq; Ivo Couckuyt; Tom Dhaene (Foundations of Computational Intelligence (1), 2009)

Multiobjective global surrogate modeling, dealing with the 5-percent problem. - Dirk Gorissen; Ivo Couckuyt; Eric Laermans; Tom Dhaene (Eng. Comput., 2010)

A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design. - Dirk Gorissen; Ivo Couckuyt; Piet Demeester; Tom Dhaene; Karel Crombecq (J. Mach. Learn. Res., 2010)

Automatic surrogate model type selection during the optimization of expensive black-box problems. - Ivo Couckuyt; Filip De Turck; Tom Dhaene; Dirk Gorissen (WSC, 2011)

An alternative approach to avoid overfitting for surrogate models. - Huu Minh Nguyen; Ivo Couckuyt; Luc Knockaert; Tom Dhaene; Dirk Gorissen; Yvan Saeys (WSC, 2011)

A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments. - Karel Crombecq; Dirk Gorissen; Dirk Deschrijver; Tom Dhaene (SIAM J. Sci. Comput., 2011)

Blind Kriging: Implementation and performance analysis. - Ivo Couckuyt; A. Forrester; Dirk Gorissen; Filip De Turck; Tom Dhaene (Adv. Eng. Softw., 2012)

The SUMO toolbox: A tool for automatic regression modeling and active learning. - Ivo Couckuyt; Dirk Gorissen; Karel Crombecq; Dirk Deschrijver; Tom Dhaene (AFRICON, 2013)

Computer Vision and the Creation of a Database of Printers' Ornaments. - Hazel Wilkinson; James Briggs; Dirk Gorissen (Digit. Humanit. Q., 2021)