Balázs Csanád Csáji
Balázs Csanád Csáji
SZTAKI: Institute for Computer Science and Control, Budapest, Hungary
Verified email at - Homepage
Cited by
Cited by
Approximation with Artificial Neural Networks
BC Csáji
MSc Thesis, Eötvös Loránd University (ELTE), Budapest, Hungary, 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
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
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
PageRank Optimization by Edge Selection
BC Csáji, RM Jungers, VD Blondel
Discrete Applied Mathematics 169, 73-87, 2014
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
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
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
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
Reinforcement Learning in a Distributed Market-Based Production Control System
BC Csáji, L Monostori, B Kádár
Advanced Engineering Informatics 20 (3), 279-288, 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
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
Value Function Based Reinforcement Learning in Changing Markovian Environments
BC Csáji, L Monostori
Journal of Machine Learning Research (JMLR) 9, 1679-1709, 2008
Adaptation and Learning in Distributed Production Control
L Monostori, BC Csáji, B Kádár
CIRP Annals: Manufacturing Technology 53 (1), 349-352, 2004
Improving Multi-Agent Based Scheduling by Neurodynamic Programming
BC Csáji, B Kádár, L Monostori
Holonic and Multi-Agent Systems for Manufacturing, 110-123, 2003
PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation
BC Csáji, RM Jungers, VD Blondel
Algorithmic Learning Theory (ALT), 89-103, 2010
Adaptive Stochastic Resource Control: A Machine Learning Approach
BC Csáji, L Monostori
Journal of Artificial Intelligence Research (JAIR) 32, 453-486, 2008
Asymptotic Properties of SPS Confidence Regions
E Weyer, MC Campi, BC Csáji
Automatica 82, 287-294, 2017
Learning and Cooperation in a Distributed Market-Based Production Control System
BC Csáji, L Monostori, B Kádár
5th International Workshop on Emergent Synthesis (IWES), 109-116, 2004
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
The system can't perform the operation now. Try again later.
Articles 1–20