Martin Pelikan

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 14

Top Venues

CoRR

J. Ambient Intell. Smart Environ.

IEEE Trans. Fuzzy Syst.

CSOC (2)

Publications

Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis
pfl-research: simulation framework for accelerating research in Private Federated Learning. CoRR (2024)
Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan "Honza" Silovsky, Kunal Talwar, Tatiana Likhomanenko
Federated Learning with Differential Privacy for End-to-End Speech Recognition. CoRR (2023)
Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky
Importance of Smoothness Induced by Optimizers in Fl4Asr: Towards Understanding Federated Learning for End-To-End ASR. ASRU (2023)
Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan "Honza" Silovsky
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR. CoRR (2023)
Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis
Population Expansion for Training Language Models with Private Federated Learning. CoRR (2023)
Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR (2022)
Sai Teja Peddinti, Igor Bilogrevic, Nina Taft, Martin Pelikan, Úlfar Erlingsson, Pauline Anthonysamy, Giles Hogben
Reducing Permission Requests in Mobile Apps. Internet Measurement Conference (2019)
Jan Tyrychtr, Martin Pelikan, Hana Stiková, Ivan Vrana
EM-OLAP Framework - Econometric Model Transformation Method for OLAP Design in Intelligence Systems. Bus. Inf. Syst. Eng. 60 (6) (2018)
Shady Aly, Martin Pelikan, Ivan Vrana
A novel methodology for designing smart workplace environments utilizing fuzzy relations. J. Ambient Intell. Smart Environ. 10 (2) (2018)
Martin Pelikan, Hana Stiková, Ivan Vrana
Correction to "Detection of Resource Overload in Conditions of Project Ambiguity". IEEE Trans. Fuzzy Syst. 26 (3) (2018)
Martin Pelikan, Hana Stiková, Ivan Vrana
Detection of Resource Overload in Conditions of Project Ambiguity. IEEE Trans. Fuzzy Syst. 25 (4) (2017)
Shady Aly, Martin Pelikan, Ivan Vrana
Designing smart manufacturing workplace utilizing fuzzy screening approach. ICSAI (2017)
Jan Tyrychtr, Martin Pelikan, Hana Stiková, Ivan Vrana
Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment. CSOC (2) (2016)
Jan Tyrychtr, Václav Vostrovský, Martin Pelikan
Data Modeling for Precision Agriculture. CSOC (2) (2015)
Shady Aly, Martin Pelikan, Ivan Vrana
A generalized model for quantifying the impact of Ambient Intelligence on smart workplaces: Applications in manufacturing. J. Ambient Intell. Smart Environ. 6 (6) (2014)
B. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan
A factor graph based genetic algorithm. Int. J. Appl. Math. Comput. Sci. 24 (3) (2014)
B. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan
Factor graph based factorization distribution algorithm. GECCO (Companion) (2013)
Martin Pelikan, Mark Hauschild
Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems CoRR (2012)
Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan
Influence of selection on structure learning in markov network EDAs: an empirical study. GECCO (2012)
Martin Pelikan
Probabilistic model-building genetic algorithms. GECCO (Companion) (2012)
Mark Hauschild, Sanjiv K. Bhatia, Martin Pelikan
Image segmentation using a genetic algorithm and hierarchical local search. GECCO (2012)
Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evol. Comput. 20 (1) (2012)
Martin Pelikan, Mark Hauschild, Pier Luca Lanzi
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. PPSN (1) (2012)
B. Hoda Helmi, Martin Pelikan, Adel Torkaman Rahmani
Linkage learning using the maximum spanning tree of the dependency graph. GECCO (Companion) (2012)
Martin Pelikan, Mark Hauschild
Distance-based bias in model-directed optimization of additively decomposable problems. GECCO (2012)
Martin Pelikan, Mark Hauschild
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA CoRR (2012)
Martin Pelikan
Probabilistic model-building genetic algorithms. GECCO (Companion) (2011)
Mark Hauschild, Martin Pelikan
Advanced neighborhoods and problem difficulty measures. GECCO (2011)
Martin Pelikan, Mark Hauschild, Dirk Thierens
Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm. GECCO (2011)
Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan, David E. Goldberg
Model accuracy in the Bayesian optimization algorithm. Soft Comput. 15 (7) (2011)
Mark Hauschild, Martin Pelikan
An introduction and survey of estimation of distribution algorithms. Swarm Evol. Comput. 1 (3) (2011)
Martin Pelikan
Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions. GECCO (2011)
Mark Hauschild, Martin Pelikan
Network crossover performance on NK landscapes and deceptive problems. GECCO (2010)
Elizabeth Radetic, Martin Pelikan
Spurious dependencies and EDA scalability. GECCO (2010)
Martin Pelikan
Probabilistic model-building genetic algorithms. GECCO (Companion) (2010)
Mark Hauschild, Martin Pelikan
Performance of Network Crossover on NK Landscapes and Spin Glasses. PPSN (2) (2010)
Martin Pelikan
NK landscapes, problem difficulty, and hybrid evolutionary algorithms. GECCO (2010)
Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima
Analyzing Probabilistic Models in Hierarchical BOA. IEEE Trans. Evol. Comput. 13 (6) (2009)
Martin Pelikan, Kumara Sastry
Initial-population bias in the univariate estimation of distribution algorithm. GECCO (2009)
Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO (2009)
Martin Pelikan, Helmut G. Katzgraber
Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. GECCO (2009)
Elizabeth Radetic, Martin Pelikan, David E. Goldberg
Effects of a deterministic hill climber on hBOA. GECCO (2009)
Martin Pelikan
Probabilistic model-building genetic algorithms. GECCO (Companion) (2009)
Mark Hauschild, Martin Pelikan
Intelligent bias of network structures in the hierarchical BOA. GECCO (2009)
Cláudio F. Lima, Martin Pelikan, Fernando G. Lobo, David E. Goldberg
Loopy Substructural Local Search for the Bayesian Optimization Algorithm. SLS (2009)
Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan
Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evol. Comput. 17 (4) (2009)
Martin Pelikan, Kumara Sastry, David E. Goldberg
iBOA: the incremental bayesian optimization algorithm. GECCO (2008)
Martin Pelikan
Probabilistic model-building genetic algorithms. GECCO (Companion) (2008)
Martin Pelikan
Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes CoRR (2008)
Mark Hauschild, Martin Pelikan
Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions. PPSN (2008)
Martin Pelikan, Helmut G. Katzgraber, Sigismund Kobe
Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. GECCO (2008)
Martin Pelikan, Kumara Sastry, David E. Goldberg
iBOA: The Incremental Bayesian Optimization Algorithm CoRR (2008)
Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan
From mating pool distributions to model overfitting. GECCO (2008)
Martin Pelikan
Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes. GECCO (2008)
Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO (2008)
Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
Using previous models to bias structural learning in the hierarchical BOA. GECCO (2008)
Martin Pelikan, Kumara Sastry, David E. Goldberg
Sporadic model building for efficiency enhancement of the hierarchical BOA. Genet. Program. Evolvable Mach. 9 (1) (2008)
Kumara Sastry, Martin Pelikan, David E. Goldberg
Empirical analysis of ideal recombination on random decomposable problems. GECCO (2007)
Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild
Influence of selection and replacement strategies on linkage learning in BOA. IEEE Congress on Evolutionary Computation (2007)
Martin Pelikan
Probabilistic model-building genetic algorithms. GECCO (Companion) (2007)
Martin Pelikan, Rajiv Kalapala, Alexander K. Hartmann
Hybrid evolutionary algorithms on minimum vertex cover for random graphs. GECCO (2007)
Martin Pelikan, Alexander K. Hartmann
Obtaining ground states of ising spin glasses via optimizing bonds instead of spins. GECCO (2007)
Martin Pelikan, James D. Laury Jr.
Order or not: does parallelization of model building in hBOA affect its scalability? GECCO (2007)
Martin Pelikan, Shigeyoshi Tsutsui, Rajiv Kalapala
Dependency trees, permutations, and quadratic assignment problem. GECCO (2007)
Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan
Population sizing for entropy-based model building in discrete estimation of distribution algorithms. GECCO (2007)
Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. GECCO (2007)
Martin Pelikan, Kumara Sastry, David E. Goldberg
Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO (2006)
Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
Edge histogram based sampling with local search for solving permutation problems. Int. J. Hybrid Intell. Syst. 3 (1) (2006)
Martin Pelikan, Alexander K. Hartmann, Kumara Sastry
Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. PPSN (2006)
Martin V. Butz, Martin Pelikan
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. GECCO (2006)
Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN (2006)
Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
Hierarchical BOA on random decomposable problems. GECCO (2006)
Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo
Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN (2006)
Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evol. Comput. 14 (3) (2006)
Martin Pelikan, Kumara Sastry, David E. Goldberg
Multiobjective hBOA, Clustering, and Scalability CoRR (2005)
Martin Pelikan, Kumara Sastry, David E. Goldberg
Multiobjective hBOA, clustering, and scalability. GECCO (2005)
Kumara Sastry, David E. Goldberg, Martin Pelikan
Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation (2005)
Kumara Sastry, Martin Pelikan, David E. Goldberg
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms CoRR (2005)
Radovan Ondas, Martin Pelikan, Kumara Sastry
Scalability of genetic programming and probabilistic incremental program evolution. GECCO (2005)
Radovan Ondas, Martin Pelikan, Kumara Sastry
Scalability of Genetic Programming and Probabilistic Incremental Program Evolution CoRR (2005)
Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
Extracted global structure makes local building block processing effective in XCS. GECCO (2005)
Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
Performance of aggregation pheromone system on unimodal and multimodal problems. Congress on Evolutionary Computation (2005)
Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet
Computational complexity and simulation of rare events of Ising spin glasses CoRR (2004)
Martin Pelikan, Kumara Sastry
Fitness Inheritance in the Bayesian Optimization Algorithm. GECCO (2) (2004)
Kumara Sastry, David E. Goldberg, Martin Pelikan
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms CoRR (2004)
Jiri Ocenasek, Martin Pelikan
Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis CoRR (2004)
Martin Pelikan, Kumara Sastry
Fitness inheritance in the Bayesian optimization algorithm CoRR (2004)
Martin Pelikan, Tz-Kai Lin
Parameter-less hierarchical BOA CoRR (2004)
Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet
Computational Complexity and Simulation of Rare Events of Ising Spin Glasses. GECCO (2) (2004)
Martin Pelikan, Tz-Kai Lin
Parameter-Less Hierarchical BOA. GECCO (2) (2004)
Kumara Sastry, Martin Pelikan, David E. Goldberg
Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. IEEE Congress on Evolutionary Computation (2004)
Kumara Sastry, Martin Pelikan, David E. Goldberg
Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation CoRR (2004)
Jiri Ocenasek, Josef Schwarz, Martin Pelikan
Design of Multithreaded Estimation of Distribution Algorithms. GECCO (2003)
Martin Pelikan, David E. Goldberg
Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. GECCO (2003)
Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui
Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert. Inf. Sci. 156 (3-4) (2003)
Martin Pelikan, David E. Goldberg
A hierarchy machine: Learning to optimize from nature and humans. Complex. 8 (5) (2003)
Nazan Khan, David E. Goldberg, Martin Pelikan
Multiple-objective Bayesian Optimization Algorithm. GECCO (2002)
Martin Pelikan, David E. Goldberg, Fernando G. Lobo
A Survey of Optimization by Building and Using Probabilistic Models. Comput. Optim. Appl. 21 (1) (2002)
Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui
Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. GECCO (2002)
Martin Pelikan, Kumara Sastry, David E. Goldberg
Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reason. 31 (3) (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Martin Pelikan