| Gradient flow in recurrent nets: The difficulty of learning LongTerm dependencies JF Kolen, SC Kremer IEEE, 2009 | 2620* | 2009 |
| Gradient flow in recurrent nets: The difficulty of learning LongTerm dependencies JF Kolen, SC Kremer IEEE, 2009 | 2620* | 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 | 2620 | 2001 |
| Resonance and the perception of musical meter EW Large, JF Kolen Connection science 6 (2-3), 177-208, 1994 | 597 | 1994 |
| Backpropagation is Sensitive to Initial Conditions JF Kolen, JB Pollack Complex Systems 4 (3), 269-280, 1990 | 554 | 1990 |
| A field guide to dynamical recurrent networks JF Kolen, SC Kremer John Wiley & Sons, 2001 | 342 | 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 | 275 | 2002 |
| A field guide to dynamical recurrent neural networks S Hochreiter, Y Bengio, P Frasconi, J Schmidhuber, J Kolen, SC Kremer chapter Gradient Flow in Recurrent Nets: The Difficulty of Learning Long …, 2001 | 118 | 2001 |
| 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 | 96 | 2017 |
| Recurrent networks: State machines or iterated function systems? JF Kolen Proceedings of the 1993 Connectionist Models Summer School, 203-210, 2014 | 77 | 2014 |
| Fool's gold: Extracting finite state machines from recurrent network dynamics J Kolen Advances in neural information processing systems 6, 1993 | 77 | 1993 |
| Virtual character generation from image or video data J Kolen, HH Chaput, N Aghdaie, KAU Zaman, KA Moss US Patent 10,953,334, 2021 | 72 | 2021 |
| Dynamical neural networks for control D Prokhorov, G Puskorius, L Feldkamp 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 | 68 | 1994 |
| Multiplayer video game matchmaking optimization N Aghdaie, J Kolen, MM Mattar, M Sardari, S Xue, KAU Zaman US Patent 9,993,735, 2018 | 60 | 2018 |
| Dynamic difficulty adjustment N Aghdaie, J Kolen, MM Mattar, M Sardari, S Xue, KAU Zaman, KA Moss US Patent 9,919,217, 2018 | 59 | 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 | 55 | 2020 |
| Neural Network Architectures for the Modeling of Dynamic Systems JF Kolen, SC Kremer Wiley-IEEE Press, 2001 | 55 | 2001 |
| Machine-learning based anomaly detection for heterogenous data sources N Aghdaie, J Kolen, MM Mattar, M Sardari, S Xue, KAU Zaman US Patent 10,459,827, 2019 | 54 | 2019 |
| Backpropagation without weight transport JF Kolen, JB Pollack Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN …, 1994 | 52 | 1994 |
