Martin Pelikan

123 papers A* 1A 48B 4C 2Journal 37Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	pfl-research: simulation framework for accelerating research in Private Federated Learning. NeurIPS Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis
2024	J	`jnl`	pfl-research: simulation framework for accelerating research in Private Federated Learning. CoRR Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis
2023	J	`jnl`	Federated Learning with Differential Privacy for End-to-End Speech Recognition. CoRR Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Honza Silovsky, Kunal Talwar, Tatiana Likhomanenko
2023	J	`jnl`	Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR. CoRR Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky
2023	C	`conf`	Importance of Smoothness Induced by Optimizers in Fl4Asr: Towards Understanding Federated Learning for End-To-End ASR. ASRU Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky
2023	J	`jnl`	Population Expansion for Training Language Models with Private Federated Learning. CoRR Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis
2022	J	`jnl`	An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
2019	A	`conf`	Reducing Permission Requests in Mobile Apps. Internet Measurement Conference Sai Teja Peddinti, Igor Bilogrevic, Nina Taft, Martin Pelikan, Úlfar Erlingsson, Pauline Anthonysamy, Giles Hogben
2018	J	`jnl`	A novel methodology for designing smart workplace environments utilizing fuzzy relations. J. Ambient Intell. Smart Environ. Shady Aly, Martin Pelikan, Ivan Vrana
2018	J	`jnl`	Correction to "Detection of Resource Overload in Conditions of Project Ambiguity". IEEE Trans. Fuzzy Syst. Martin Pelikan, Hana Stiková, Ivan Vrana
2018	J	`jnl`	EM-OLAP Framework - Econometric Model Transformation Method for OLAP Design in Intelligence Systems. Bus. Inf. Syst. Eng. Jan Tyrychtr, Martin Pelikan, Hana Stiková, Ivan Vrana
2017	—	`conf`	Designing smart manufacturing workplace utilizing fuzzy screening approach. ICSAI Shady Aly, Martin Pelikan, Ivan Vrana
2017	J	`jnl`	Detection of Resource Overload in Conditions of Project Ambiguity. IEEE Trans. Fuzzy Syst. Martin Pelikan, Hana Stiková, Ivan Vrana
2016	—	`conf`	Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment. CSOC (2) Jan Tyrychtr, Martin Pelikan, Hana Stiková, Ivan Vrana
2015	—	`conf`	Data Modeling for Precision Agriculture. CSOC (2) Jan Tyrychtr, Václav Vostrovský, Martin Pelikan
2015	—	`ch.`	Estimation of Distribution Algorithms. Handbook of Computational Intelligence Martin Pelikan, Mark Hauschild, Fernando G. Lobo
2014	J	`jnl`	A factor graph based genetic algorithm. Int. J. Appl. Math. Comput. Sci. B. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan
2014	J	`jnl`	A generalized model for quantifying the impact of Ambient Intelligence on smart workplaces: Applications in manufacturing. J. Ambient Intell. Smart Environ. Shady Aly, Martin Pelikan, Ivan Vrana
2013	—	`conf`	Factor graph based factorization distribution algorithm. GECCO (Companion) B. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan
2012	J	`jnl`	Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems CoRR Martin Pelikan, Mark Hauschild
2012	A	`conf`	Distance-based bias in model-directed optimization of additively decomposable problems. GECCO Martin Pelikan, Mark Hauschild
2012	A	`conf`	Image segmentation using a genetic algorithm and hierarchical local search. GECCO Mark Hauschild, Sanjiv K. Bhatia, Martin Pelikan
2012	A	`conf`	Influence of selection on structure learning in markov network EDAs: an empirical study. GECCO Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan
2012	—	`conf`	Linkage learning using the maximum spanning tree of the dependency graph. GECCO (Companion) B. Hoda Helmi, Martin Pelikan, Adel Torkaman Rahmani
2012	—	`conf`	Probabilistic model-building genetic algorithms. GECCO (Companion) Martin Pelikan
2012	J	`jnl`	Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA CoRR Martin Pelikan, Mark Hauschild
2012	—	`conf`	Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. PPSN (1) Martin Pelikan, Mark Hauschild, Pier Luca Lanzi
2012	J	`jnl`	Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evol. Comput. Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
2011	A	`conf`	Advanced neighborhoods and problem difficulty measures. GECCO Mark Hauschild, Martin Pelikan
2011	J	`jnl`	An introduction and survey of estimation of distribution algorithms. Swarm Evol. Comput. Mark Hauschild, Martin Pelikan
2011	A	`conf`	Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions. GECCO Martin Pelikan
2011	J	`jnl`	Model accuracy in the Bayesian optimization algorithm. Soft Comput. Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan, David E. Goldberg
2011	A	`conf`	Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm. GECCO Martin Pelikan, Mark Hauschild, Dirk Thierens
2011	—	`conf`	Probabilistic model-building genetic algorithms. GECCO (Companion) Martin Pelikan
2010	A	`ed.`	Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010 GECCO Martin Pelikan, Jürgen Branke
2010	—	`ed.`	Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, Companion Material GECCO (Companion) Martin Pelikan, Jürgen Branke
2010	A	`conf`	NK landscapes, problem difficulty, and hybrid evolutionary algorithms. GECCO Martin Pelikan
2010	A	`conf`	Network crossover performance on NK landscapes and deceptive problems. GECCO Mark Hauschild, Martin Pelikan
2010	—	`conf`	Performance of Network Crossover on NK Landscapes and Spin Glasses. PPSN (2) Mark Hauschild, Martin Pelikan
2010	—	`conf`	Probabilistic model-building genetic algorithms. GECCO (Companion) Martin Pelikan
2010	A	`conf`	Spurious dependencies and EDA scalability. GECCO Elizabeth Radetic, Martin Pelikan
2009	A	`conf`	Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. GECCO Martin Pelikan, Helmut G. Katzgraber
2009	J	`jnl`	Analyzing Probabilistic Models in Hierarchical BOA. IEEE Trans. Evol. Comput. Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima
2009	J	`jnl`	Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evol. Comput. Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan
2009	A	`conf`	Effects of a deterministic hill climber on hBOA. GECCO Elizabeth Radetic, Martin Pelikan, David E. Goldberg
2009	A	`conf`	Initial-population bias in the univariate estimation of distribution algorithm. GECCO Martin Pelikan, Kumara Sastry
2009	A	`conf`	Intelligent bias of network structures in the hierarchical BOA. GECCO Mark Hauschild, Martin Pelikan
2009	—	`conf`	Loopy Substructural Local Search for the Bayesian Optimization Algorithm. SLS Cláudio F. Lima, Martin Pelikan, Fernando G. Lobo, David E. Goldberg
2009	A	`conf`	Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild
2009	—	`conf`	Probabilistic model-building genetic algorithms. GECCO (Companion) Martin Pelikan
2008	A	`conf`	An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
2008	J	`jnl`	Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes CoRR Martin Pelikan
2008	A	`conf`	Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes. GECCO Martin Pelikan
2008	A	`conf`	Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions. PPSN Mark Hauschild, Martin Pelikan
2008	A	`conf`	Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. GECCO Martin Pelikan, Helmut G. Katzgraber, Sigismund Kobe
2008	A	`conf`	From mating pool distributions to model overfitting. GECCO Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan
2008	—	`ch.`	Linkage Learning Accuracy in the Bayesian Optimization Algorithm. Linkage in Evolutionary Computation Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild
2008	—	`conf`	Probabilistic model-building genetic algorithms. GECCO (Companion) Martin Pelikan
2008	J	`jnl`	Sporadic model building for efficiency enhancement of the hierarchical BOA. Genet. Program. Evolvable Mach. Martin Pelikan, Kumara Sastry, David E. Goldberg
2008	A	`conf`	Using previous models to bias structural learning in the hierarchical BOA. GECCO Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
2008	J	`jnl`	iBOA: The Incremental Bayesian Optimization Algorithm CoRR Martin Pelikan, Kumara Sastry, David E. Goldberg
2008	A	`conf`	iBOA: the incremental bayesian optimization algorithm. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg
2007	A	`conf`	Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. GECCO Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry
2007	A	`conf`	Dependency trees, permutations, and quadratic assignment problem. GECCO Martin Pelikan, Shigeyoshi Tsutsui, Rajiv Kalapala
2007	A	`conf`	Empirical analysis of ideal recombination on random decomposable problems. GECCO Kumara Sastry, Martin Pelikan, David E. Goldberg
2007	A	`conf`	Hybrid evolutionary algorithms on minimum vertex cover for random graphs. GECCO Martin Pelikan, Rajiv Kalapala, Alexander K. Hartmann
2007	B	`conf`	Influence of selection and replacement strategies on linkage learning in BOA. IEEE Congress on Evolutionary Computation Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild
2007	A	`conf`	Obtaining ground states of ising spin glasses via optimizing bonds instead of spins. GECCO Martin Pelikan, Alexander K. Hartmann
2007	A	`conf`	Order or not: does parallelization of model building in hBOA affect its scalability? GECCO Martin Pelikan, James D. Laury Jr.
2007	—	`ch.`	Parameter-less Hierarchical Bayesian Optimization Algorithm. Parameter Setting in Evolutionary Algorithms Martin Pelikan, Alexander K. Hartmann, Tz-Kai Lin
2007	A	`conf`	Population sizing for entropy-based model building in discrete estimation of distribution algorithms. GECCO Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan
2007	—	`conf`	Probabilistic model-building genetic algorithms. GECCO (Companion) Martin Pelikan
2006	J	`jnl`	Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evol. Comput. Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
2006	—	`ch.`	Design of Parallel Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Jiri Ocenasek, Erick Cantú-Paz, Martin Pelikan, Josef Schwarz
2006	J	`jnl`	Edge histogram based sampling with local search for solving permutation problems. Int. J. Hybrid Intell. Syst. Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
2006	—	`ch.`	Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. Scalable Optimization via Probabilistic Modeling Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
2006	—	`ch.`	Efficiency Enhancement of Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Kumara Sastry, Martin Pelikan, David E. Goldberg
2006	A	`conf`	Hierarchical BOA on random decomposable problems. GECCO Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
2006	A	`conf`	Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. PPSN Martin Pelikan, Alexander K. Hartmann, Kumara Sastry
2006	—	`ch.`	Hierarchical Bayesian Optimization Algorithm. Scalable Optimization via Probabilistic Modeling Martin Pelikan, David E. Goldberg
2006	—	`ch.`	Introduction. Scalable Optimization via Probabilistic Modeling Martin Pelikan, Kumara Sastry, Erick Cantú-Paz
2006	—	`ch.`	Multiobjective Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Martin Pelikan, Kumara Sastry, David E. Goldberg
2006	A	`conf`	Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
2006	—	`book`	Scalable Optimization via Probabilistic Modeling Martin Pelikan, Kumara Sastry, Erick Cantú-Paz
2006	—	`ch.`	Searching for Ground States of Ising Spin Glasses with Hierarchical BOA and Cluster Exact Approximation. Scalable Optimization via Probabilistic Modeling Martin Pelikan, Alexander K. Hartmann
2006	A	`conf`	Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg
2006	A	`conf`	Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. GECCO Martin V. Butz, Martin Pelikan
2006	A	`conf`	Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo
2005	J	`jnl`	Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms CoRR Kumara Sastry, Martin Pelikan, David E. Goldberg
2005	A	`conf`	Extracted global structure makes local building block processing effective in XCS. GECCO Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
2005	—	`book`	Hierarchical Bayesian Optimization Algorithm - Toward a new Generation of Evolutionary Algorithms Martin Pelikan
2005	B	`conf`	Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation Kumara Sastry, David E. Goldberg, Martin Pelikan
2005	J	`jnl`	Multiobjective hBOA, Clustering, and Scalability CoRR Martin Pelikan, Kumara Sastry, David E. Goldberg
2005	A	`conf`	Multiobjective hBOA, clustering, and scalability. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg
2005	B	`conf`	Performance of aggregation pheromone system on unimodal and multimodal problems. Congress on Evolutionary Computation Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
2005	J	`jnl`	Scalability of Genetic Programming and Probabilistic Incremental Program Evolution CoRR Radovan Ondas, Martin Pelikan, Kumara Sastry
2005	A	`conf`	Scalability of genetic programming and probabilistic incremental program evolution. GECCO Radovan Ondas, Martin Pelikan, Kumara Sastry
2004	—	`conf`	Computational Complexity and Simulation of Rare Events of Ising Spin Glasses. GECCO (2) Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet
2004	J	`jnl`	Computational complexity and simulation of rare events of Ising spin glasses CoRR Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet
2004	J	`jnl`	Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation CoRR Kumara Sastry, Martin Pelikan, David E. Goldberg
2004	J	`jnl`	Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms CoRR Kumara Sastry, David E. Goldberg, Martin Pelikan
2004	B	`conf`	Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. IEEE Congress on Evolutionary Computation Kumara Sastry, Martin Pelikan, David E. Goldberg
2004	—	`conf`	Fitness Inheritance in the Bayesian Optimization Algorithm. GECCO (2) Martin Pelikan, Kumara Sastry
2004	J	`jnl`	Fitness inheritance in the Bayesian optimization algorithm CoRR Martin Pelikan, Kumara Sastry
2004	J	`jnl`	Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis CoRR Jiri Ocenasek, Martin Pelikan
2004	—	`conf`	Parameter-Less Hierarchical BOA. GECCO (2) Martin Pelikan, Tz-Kai Lin
2004	J	`jnl`	Parameter-less hierarchical BOA CoRR Martin Pelikan, Tz-Kai Lin
2003	J	`jnl`	A hierarchy machine: Learning to optimize from nature and humans. Complex. Martin Pelikan, David E. Goldberg
2003	A	`conf`	Design of Multithreaded Estimation of Distribution Algorithms. GECCO Jiri Ocenasek, Josef Schwarz, Martin Pelikan
2003	J	`jnl`	Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert. Inf. Sci. Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui
2003	A	`conf`	Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. GECCO Martin Pelikan, David E. Goldberg
2002	J	`jnl`	A Survey of Optimization by Building and Using Probabilistic Models. Comput. Optim. Appl. Martin Pelikan, David E. Goldberg, Fernando G. Lobo
2002	—	`—`	Bayesian Optimization Algorithm: From Single Level to Hierarchy Martin Pelikan
2002	A	`conf`	Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. GECCO Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui
2002	A	`conf`	Multiple-objective Bayesian Optimization Algorithm. GECCO Nazan Khan, David E. Goldberg, Martin Pelikan
2002	J	`jnl`	Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reason. Martin Pelikan, Kumara Sastry, David E. Goldberg
2000	C	`conf`	A survey of optimization by building and using probabilistic models. ACC Martin Pelikan, David E. Goldberg, Fernando G. Lobo
2000	A	`conf`	Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. GECCO Martin Pelikan, David E. Goldberg, Erick Cantú-Paz
2000	A	`conf`	Genetic Algorithms, Clustering, and the Breaking of Symmetry. PPSN Martin Pelikan, David E. Goldberg
2000	A	`conf`	Hierarchical Problem Solving and the Bayesian Optimization Algorithm. GECCO Martin Pelikan, David E. Goldberg
2000	J	`jnl`	Linkage Problem, Distribution Estimation, and Bayesian Networks. Evol. Comput. Martin Pelikan, David E. Goldberg, Erick Cantú-Paz
2000	A	`conf`	Parameter-less Genetic Algorithm: A Worst-case Time and Space Complexity Analysis. GECCO Martin Pelikan, Fernando G. Lobo
2000	A	`conf`	Time Complexity of genetic algorithms on exponentially scaled problems. GECCO Fernando G. Lobo, David E. Goldberg, Martin Pelikan