| Gradient flow in recurrent nets: The difficulty of learning LongTerm dependencies JF Kolen, SC Kremer IEEE, 2009 | 2015* | 2009 |
| Gradient flow in recurrent nets: The difficulty of learning LongTerm dependencies JF Kolen, SC Kremer IEEE, 2009 | 2015* | 2009 |
| Gradient flow in recurrent nets: the difficulty of learning long-term dependencies S Hochreiter, Y Bengio, P Frasconi, J Schmidhuber A field guide to dynamical recurrent neural networks. IEEE Press, 2001 | 1997 | 2001 |
| Resonance and the perception of musical meter EW Large, JF Kolen Connection science 6 (2-3), 177-208, 1994 | 529 | 1994 |
| Backpropagation is Sensitive to Initial Conditions JF Kolen, JB Pollack Complex Systems 4 (3), 269-280, 1990 | 503 | 1990 |
| A field guide to dynamical recurrent networks JF Kolen, SC Kremer John Wiley & Sons, 2001 | 273 | 2001 |
| Reducing the time complexity of the fuzzy c-means algorithm JF Kolen, T Hutcheson IEEE Transactions on Fuzzy Systems 10 (2), 263-267, 2002 | 255 | 2002 |
| A field guide to dynamical recurrent neural networks S Hochreiter, Y Bengio, P Frasconi, J Schmidhuber, JF Kolen, SC Kremer chapter Gradient Flow in Recurrent Nets: The Difficulty of Learning Long …, 2001 | 78 | 2001 |
| Fool's gold: Extracting finite state machines from recurrent network dynamics J Kolen Advances in neural information processing systems 6, 1993 | 74 | 1993 |
| Recurrent networks: State machines or iterated function systems JF Kolen Proceedings of the 1993 Connectionist Models Summer School, 203-210, 1994 | 73 | 1994 |
| Dynamical neural networks for control D Prokhorov, G Puskorius, L Feldkamp, J Kolen, S Kremer A field guide to dynamical recurrent networks 13, 978-0780353695, 2001 | 72 | 2001 |
| Exploring the computational capabilities of recurrent neural networks JF Kolen The Ohio State University, 1994 | 66 | 1994 |
| Dynamic difficulty adjustment for maximized engagement in digital games S Xue, M Wu, J Kolen, N Aghdaie, KA Zaman Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 55 | 2017 |
| Neural Network Architectures for the Modeling of Dynamic Systems JF Kolen, SC Kremer Wiley-IEEE Press, 2001 | 55* | 2001 |
| Learning in parallel distributed processing networks: Computational complexity and information content JF Kolen, AK Goel IEEE Transactions on Systems, Man, and Cybernetics 21 (2), 359-367, 1991 | 40 | 1991 |
| The observers' paradox: Apparent computational complexity in physical systems JF Kolen, JB Pollack Journal of Experimental & Theoretical Artificial Intelligence 7 (3), 253-269, 1995 | 38 | 1995 |
| Multiplayer video game matchmaking optimization N Aghdaie, J Kolen, MM Mattar, M Sardari, S Xue, KAU Zaman US Patent 9,993,735, 2018 | 36 | 2018 |
| Winning is not everything: Enhancing game development with intelligent agents Y Zhao, I Borovikov, F de Mesentier Silva, A Beirami, J Rupert, C Somers, ... IEEE Transactions on Games 12 (2), 199-212, 2020 | 30 | 2020 |
| From sequences to data structures: Theory and applications JF Kolen, SC Kremer Wiley-IEEE Press, 2001 | 28 | 2001 |
| The origin of clusters in recurrent neural network state space JF Kolen Proceedings of the Sixteenth Annual Conference of the Cognitive Science …, 2019 | 27 | 2019 |
