The Creativity Potential Within Evolutionary Algorithms. - David Iclanzan (ECAL, 2007)

Crossover: the divine afflatus in search. - David Iclanzan (GECCO (Companion), 2007)

Overcoming hierarchical difficulty by hill-climbing the building block structure. - David Iclanzan; Dan Dumitrescu (GECCO, 2007)

Overrepresentations in Neutral Genotype-Phenotype Mappings and their Applications. - David Iclanzan; D. Dumitrescu (SYNASC, 2007)

Neuro-Hill-Climber: A New Approach Towards More Intelligent Search and Optimization. - David Iclanzan; Péter István Fülöp; D. Dumitrescu (SYNASC, 2007)

How can Artificial Neural Networks help making the intractable search spaces tractable. - David Iclanzan; Dan Dumitrescu (IEEE Congress on Evolutionary Computation, 2008)

GeCiM: A Novel Generalized Approach to C-Means Clustering. - László Szilágyi; David Iclanzan; Sándor M. Szilágyi; Dan Dumitrescu (CIARP, 2008)

Going for the big fishes: discovering and combining large neutral and massively multimodal building-blocks with model based macro-mutation. - David Iclanzan; D. Dumitrescu (GECCO, 2008)

Towards memoryless model building. - David Iclanzan; Dumitru Dumitrescu (GECCO (Companion), 2008)

Large-Scale Optimization of Non-separable Building-Block Problems. - David Iclanzan; Dumitru Dumitrescu (PPSN, 2008)

Cooperation in the context of sustainable search. - David Iclanzan; Béat Hirsbrunner; Michèle Courant; D. Dumitrescu (IEEE Congress on Evolutionary Computation, 2009)

A generalized c-means clustering model using optimized via evolutionary computation. - László Szilágyi; David Iclanzan; Sándor M. Szilágyi; Dan Dumitrescu; Béat Hirsbrunner (FUZZ-IEEE, 2009)

Correlation guided model building. - David Iclanzan; D. Dumitrescu; Béat Hirsbrunner (GECCO, 2009)

A weighted patient specific electromechanical model of the heart. - Sándor M. Szilágyi; László Szilágyi; David Iclanzan; Zoltán Benyó (SACI, 2009)

Graph Clustering Based Model Building. - David Iclanzan; Dumitru Dumitrescu (PPSN (1), 2010)

An Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models. - László Szilágyi; David Iclanzan; Lehel Craciun; Sándor M. Szilágyi (CIARP, 2011)

Efficient 3D Curve Skeleton Extraction from Large Objects. - László Szilágyi; Sándor M. Szilágyi; David Iclanzan; Lehel Szabó (CIARP, 2011)

Hierarchical allelic pairwise independent functions. - David Iclanzan (GECCO, 2011)

Towards the efficient evolution of particle-based computation in cellular automata. - David Iclanzan; Péter István Fülöp; Camelia Chira; Anca Gog (GECCO (Companion), 2011)

Enhancing the Computational Mechanics of Cellular Automata. - David Iclanzan; Anca Gog; Camelia Chira (NICSO, 2011)

Evolutionary detection of community structures in complex networks: A new fitness function. - Camelia Chira; Anca Gog; David Iclanzan (IEEE Congress on Evolutionary Computation, 2012)

Modeling and replicating higher-order dependencies in genetic algorithms. - David Iclanzan; Camelia Chira (IEEE Congress on Evolutionary Computation, 2012)

Higher-order linkage learning in the ECGA. - David Iclanzan (GECCO, 2012)

Evolving mixed nash equilibria for bimatrix games. - David Iclanzan; Noémi Gaskó; D. Dumitrescu (GECCO (Companion), 2012)

A Multi-parent Search Operator for Bayesian Network Building. - David Iclanzan (PPSN (1), 2012)

Multiobjective Evolution of Mixed Nash Equilibria. - David Iclanzan; Noémi Gaskó; Réka Nagy; D. Dumitrescu (LION, 2013)

Cell state change dynamics in cellular automata. - David Iclanzan; Anca Gog; Camelia Chira (Memetic Comput., 2013)

Global Optimization of Multimodal Deceptive Functions. - David Iclanzan (EvoCOP, 2014)

Learning Inherent Networks from Stochastic Search Methods. - David Iclanzan; Fabio Daolio; Marco Tomassini (EvoCOP, 2014)

Data-driven local optima network characterization of QAPLIB instances. - David Iclanzan; Fabio Daolio; Marco Tomassini (GECCO, 2014)

Neural Population Coding of Stimulus Features. - David Iclanzan; László Szilágyi (ICONIP (4), 2015)

Automatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records. - László Szilágyi; László Lefkovits; Barna Iantovics; David Iclanzan; Balázs Benyó (ICONIP (4), 2015)

Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach. - Zoltán Kapás; László Lefkovits; David Iclanzan; Ágnes Gyorfi; Barna László Iantovics; Szidónia Lefkovits; Sándor Miklós Szilágyi; László Szilágyi (PSIVT, 2017)

Evolving Computationally Efficient Hashing for Similarity Search. - David Iclanzan; Sándor Miklós Szilágyi; László Szilágyi (ICONIP (2), 2018)

A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data. - Ágnes Gyorfi; Zoltán Karetka-Mezei; David Iclanzan; Levente Kovács; László Szilágyi (CIARP, 2019)

Learning to Generate Ambiguous Sequences. - David Iclanzan; László Szilágyi (ICONIP (1), 2019)

Linking Formal and Informal Structures based on Members' E-mail Communication Patterns. - Katalin Tunde Janosi-Rancz; Zoltán Kátai; David Iclanzan (Aust. J. Intell. Inf. Process. Syst., 2019)

Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier. - Szabolcs Csaholczi; David Iclanzan; Levente Kovács; László Szilágyi (ICONIP (1), 2020)

Real Valued Card Counting Strategies for the Game of Blackjack. - Mózes Vidámi; László Szilágyi; David Iclanzan (ICONIP (2), 2020)

The role of atlases and multi-atlases in brain tissue segmentation based on multispectral magnetic resonance image data. - David Iclanzan; Rodica Ioana Lung; Zsolt Levente Kucsván; Béla Surányi; Levente Kovács; László Szilágyi (AFRICON, 2021)

Increasing the Impact of Teacher Presence in Online Lectures. - David Iclanzan; Zoltán Kátai (ICCS (6), 2021)

A Framework for Effective Guided Mnemonic Journeys. - David Iclanzan; Zoltán Kátai (ICCS (5), 2023)

Impact of instructor on-slide presence in synchronous e-learning. - Zoltán Kátai; David Iclanzan (Educ. Inf. Technol., 2023)

A One-versus-rest Discrete Time Differential Classification Game for Imbalanced Data. - David Iclanzan; Tudor Dan Mihoc; Rodica Ioana Lung (KES, 2024)

Enacting algorithms: Evolution of the algorythmics storytelling. - Zoltán Kátai; Pálma Rozalia Osztián; David Iclanzan (Educ. Inf. Technol., 2024)