Balázs Csanád Csáji

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Laszlo MonostoriComputer and Automation research InstituteVerified email at sztaki.mta.hu
Erik WeyerThe University of MelbourneVerified email at unimelb.edu.au
Marco C. CampiUniversity of Brescia, professorVerified email at unibs.it
Botond KádárMTA SZTAKIVerified email at sztaki.hu
Jozsef VanczaHead of Engineering and Management Intelligence Laboratory, SZTAKIVerified email at sztaki.hu
Algo CarèUniversity of Brescia, ItalyVerified email at unibs.it
Vincent BlondelUniversité catholique de Louvain, School of Engineering, ICTEAM, BelgiumVerified email at uclouvain.be
Andras KovacsInstitute for Computer Science and Control, Budapest, Hungary (SZTAKI)Verified email at sztaki.hu
Paul Van DoorenProfessor of Mathematical Engineering, Université catholique de LouvainVerified email at uclouvain.be
Zbigniew SmoredaOrange / Orange Labs / SENSEVerified email at orange.com
Jean-Charles DelvenneProfessor of Applied Mathematics, Université catholique de LouvainVerified email at uclouvain.be
Vincent TraagSenior Researcher at CWTS, Leiden UniversityVerified email at cwts.leidenuniv.nl
Ambrus TamásSZTAKI: Institute for Computer Science and Control, Budapest, HungaryVerified email at sztaki.hu
Szabolcs SzentpéteriSZTAKI: Institute for Computer Science and Control, Budapest, HungaryVerified email at sztaki.hu
Raphael JungersProfessor of Applied Mathematics, Université catholique de Louvain, ICTEAMVerified email at uclouvain.be
Marco GilliesProfessor in Computing, Goldsmiths, University of LondonVerified email at gold.ac.uk
Laszlo GerencserInstitute for Computer Science and ControlVerified email at sztaki.hu
Balázs GerencsérAlfréd Rényi Institute of MathematicsVerified email at renyi.mta.hu
Simone GarattiPolitecnico di Milano - Dipartimento di Elettronica, Informazione e BioingegneriaVerified email at polimi.it
Miklos RasonyiAlfred Renyi Institute of Mathematics, BudapestVerified email at renyi.hu

Balázs Csanád Csáji

SZTAKI: Institute for Computer Science and Control, Budapest, Hungary

Verified email at sztaki.hu - Homepage

machine learning system identification control theory optimization statistics


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Approximation with Artificial Neural Networks BC Csáji MSc Thesis, Eötvös Loránd University (ELTE), Budapest, Hungary, 2001	967	2001
Exploring the Mobility of Mobile Phone Users BC Csáji, A Browet, VA Traag, JC Delvenne, E Huens, P Van Dooren, ... Physica A: Statistical Mechanics and its Applications 392 (6), 1459-1473, 2013	326	2013
Cooperative Control in Production and Logistics L Monostori, P Valckenaers, A Dolgui, H Panetto, M Brdys, BC Csáji Annual Reviews in Control 39, 12-29, 2015	97	2015
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-asymptotic Confidence Regions in Linear Regression Models BC Csáji, MC Campi, E Weyer IEEE Transactions on Signal Processing 63 (1), 169-181, 2015	91	2015
Complexity-Based Modeling of Reconfigurable Collaborations in Production Industry G Schuh, L Monostori, BC Csáji, S Döring CIRP Annals: Manufacturing Technology 57 (1), 445-450, 2008	85	2008
Intelligent Control for Energy-Positive Street Lighting A Kovács, R Bátai, BC Csáji, P Dudás, B Háy, G Pedone, T Révész, ... Energy 114, 40-51, 2016	81	2016
Finite-Sample System Identification: An Overview and a New Correlation Method A Carè, BC Csáji, MC Campi, E Weyer IEEE Control Systems Letters 2 (1), 61-66, 2017	69	2017
PageRank Optimization by Edge Selection BC Csáji, RM Jungers, VD Blondel Discrete Applied Mathematics 169, 73-87, 2014	65	2014
Reinforcement Learning in a Distributed Market-Based Production Control System BC Csáji, L Monostori, B Kádár Advanced Engineering Informatics 20 (3), 279-288, 2006	63	2006
Wireless Multi-Sensor Networks for Smart Cities: A Prototype System with Statistical Data Analysis BC Csáji, Z Kemény, G Pedone, A Kuti, J Váncza IEEE Sensors Journal 17 (23), 7667-7676, 2017	60	2017
Towards Adaptive and Digital Manufacturing L Monostori, BC Csáji, B Kádár, A Pfeiffer, E Ilie-Zudor, Z Kemény, ... Annual Reviews in Control 34 (1), 118-128, 2010	55	2010
Non-Asymptotic Confidence Regions for the Least-Squares Estimate BC Csáji, MC Campi, E Weyer 16th IFAC Symposium on System Identification (IFAC SYSID), 227-232, 2012	48	2012
Value Function Based Reinforcement Learning in Changing Markovian Environments BC Csáji, L Monostori Journal of Machine Learning Research (JMLR) 9, 1679-1709, 2008	48	2008
Asymptotic Properties of SPS Confidence Regions E Weyer, MC Campi, BC Csáji Automatica 82, 287-294, 2017	47	2017
Adaptation and Learning in Distributed Production Control L Monostori, BC Csáji, B Kádár CIRP Annals: Manufacturing Technology 53 (1), 349-352, 2004	43	2004
Adaptive Stochastic Resource Control: A Machine Learning Approach BC Csáji, L Monostori Journal of Artificial Intelligence Research (JAIR) 32, 453-486, 2008	30	2008
Improving Multi-Agent Based Scheduling by Neurodynamic Programming BC Csáji, B Kádár, L Monostori Holonic and Multi-Agent Systems for Manufacturing, 110-123, 2003	27	2003
PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation BC Csáji, RM Jungers, VD Blondel Algorithmic Learning Theory (ALT), 89-103, 2010	26	2010
Sign-Perturbed Sums (SPS): A Method for Constructing Exact Finite-Sample Confidence Regions for General Linear Systems BC Csáji, MC Campi, E Weyer 51st IEEE Conference on Decision and Control (CDC), 7321-7326, 2012	25	2012
Recursive Estimation of ARX Systems Using Binary Sensors with Adjustable Thresholds BC Csáji, E Weyer 16th IFAC Symposium on System Identification (IFAC SYSID), 1185-1190, 2012	23	2012

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