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Balázs Csanád Csáji
Balázs Csanád Csáji
SZTAKI: Institute for Computer Science and Control, Budapest, Hungary
Verified email at sztaki.hu - Homepage
Title
Cited by
Cited by
Year
Approximation with Artificial Neural Networks
BC Csáji
MSc Thesis, Eötvös Loránd University (ELTE), Budapest, Hungary, 2001
9982001
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
3312013
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
1032015
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
962015
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
842008
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
822016
Finite-Sample System Identification: An Overview and a New Correlation Method
A Carč, BC Csáji, MC Campi, E Weyer
IEEE Control Systems Letters 2 (1), 61-66, 2017
702017
PageRank Optimization by Edge Selection
BC Csáji, RM Jungers, VD Blondel
Discrete Applied Mathematics 169, 73-87, 2014
672014
Reinforcement Learning in a Distributed Market-Based Production Control System
BC Csáji, L Monostori, B Kádár
Advanced Engineering Informatics 20 (3), 279-288, 2006
662006
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
622017
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
552010
Value Function Based Reinforcement Learning in Changing Markovian Environments
BC Csáji, L Monostori
Journal of Machine Learning Research (JMLR) 9, 1679-1709, 2008
502008
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
482012
Asymptotic Properties of SPS Confidence Regions
E Weyer, MC Campi, BC Csáji
Automatica 82, 287-294, 2017
472017
Adaptation and Learning in Distributed Production Control
L Monostori, BC Csáji, B Kádár
CIRP Annals: Manufacturing Technology 53 (1), 349-352, 2004
432004
Adaptive Stochastic Resource Control: A Machine Learning Approach
BC Csáji, L Monostori
Journal of Artificial Intelligence Research (JAIR) 32, 453-486, 2008
312008
PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation
BC Csáji, RM Jungers, VD Blondel
Algorithmic Learning Theory (ALT), 89-103, 2010
272010
Improving Multi-Agent Based Scheduling by Neurodynamic Programming
BC Csáji, B Kádár, L Monostori
Holonic and Multi-Agent Systems for Manufacturing, 110-123, 2003
272003
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
252012
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
252012
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