Approximation with Artificial Neural Networks BC Csáji MSc Thesis, Eötvös Loránd University (ELTE), Budapest, Hungary, 2001 | 941 | 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 | 320 | 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 |
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 | 84 | 2008 |
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 | 80 | 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 | 77 | 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 | 66 | 2017 |
PageRank Optimization by Edge Selection BC Csáji, RM Jungers, VD Blondel Discrete Applied Mathematics 169, 73-87, 2014 | 64 | 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 | 62 | 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 |
Adaptation and Learning in Distributed Production Control L Monostori, BC Csáji, B Kádár CIRP Annals: Manufacturing Technology 53 (1), 349-352, 2004 | 43 | 2004 |
Asymptotic Properties of SPS Confidence Regions E Weyer, MC Campi, BC Csáji Automatica 82, 287-294, 2017 | 41 | 2017 |
Adaptive Stochastic Resource Control: A Machine Learning Approach BC Csáji, L Monostori Journal of Artificial Intelligence Research (JAIR) 32, 453-486, 2008 | 28 | 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 | 25 | 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 | 22 | 2012 |
Recursive Estimation of ARX Systems Using Binary Sensors with Adjustable Thresholds BC Csáji, E Weyer 16th IFAC Symposium on System Identification (IFACT SYSID), 1185-1190, 2012 | 22 | 2012 |