Learning long-term dependencies in NARX recurrent neural networks T Lin, BG Horne, P Tino, CL Giles IEEE Transactions on Neural Networks 7 (6), 1329-1338, 1996 | 968 | 1996 |
Minimum complexity echo state network A Rodan, P Tiňo Neural Networks, IEEE Transactions on, 1-14, 2011 | 715 | 2011 |
A survey on neural network interpretability Y Zhang, P Tiňo, A Leonardis, K Tang IEEE Transactions on Emerging Topics in Computational Intelligence 5 (5 …, 2021 | 630 | 2021 |
Managing diversity in regression ensembles. G Brown, JL Wyatt, P Tino, Y Bengio Journal of machine learning research 6 (9), 2005 | 494 | 2005 |
Markovian architectural bias of recurrent neural networks P Tino, M Cernansky, L Benuskova IEEE Transactions on Neural Networks 15 (1), 6-15, 2004 | 211 | 2004 |
Evolutionary Algorithms (Evolučné algoritmy, in Slovak) V Kvasnička, J Pospíchal, P Tiňo STU, 2000 | 190* | 2000 |
Financial volatility trading using recurrent neural networks P Tino, C Schittenkopf, G Dorffner IEEE transactions on neural networks 12 (4), 865-874, 2001 | 167 | 2001 |
Probabilistic classification vector machines H Chen, P Tino, X Yao IEEE Transactions on Neural Networks 20 (6), 901-914, 2009 | 156 | 2009 |
Introduction to the theory of neural networks (Úvod do teórie neurónových sietí, in Slovak) V Kvasnička, Ľ Beňušková, J Pospíchal, I Farkaš, P Tiňo, V Kráľ Iris, Bratislava, 1997 | 151* | 1997 |
Model-based kernel for efficient time series analysis H Chen, F Tang, P Tino, X Yao Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 135 | 2013 |
Learning in the model space for cognitive fault diagnosis H Chen, P Tiňo, A Rodan, X Yao IEEE transactions on neural networks and learning systems 25 (1), 124-136, 2013 | 134 | 2013 |
Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps A Rodan, P Tiˇno Neural computation 24 (7), 2012 | 132 | 2012 |
Hierarchical GTM: Constructing localized nonlinear projection manifolds in a principled way P Tino, I Nabney Pattern Analysis and Machine Intelligence, IEEE Transactions on 24 (5), 639-656, 2002 | 127 | 2002 |
Predictive ensemble pruning by expectation propagation H Chen, P Tiňo, X Yao IEEE Transactions on Knowledge and Data Engineering 21 (7), 999-1013, 2009 | 120 | 2009 |
Finite state machines and recurrent neural networks—automata and dynamical systems approaches P Tiňo, BG Horne, CL Giles, PC Collingwood Neural networks and pattern recognition, 171-219, 1998 | 113 | 1998 |
Concept drift detection for online class imbalance learning S Wang, LL Minku, D Ghezzi, D Caltabiano, P Tino, X Yao The 2013 International Joint Conference on Neural Networks (IJCNN), 1-10, 2013 | 111 | 2013 |
Scaling up estimation of distribution algorithms for continuous optimization W Dong, T Chen, P Tiňo, X Yao IEEE Transactions on Evolutionary Computation 17 (6), 797-822, 2013 | 109 | 2013 |
Indefinite proximity learning: A review FM Schleif, P Tino Neural Computation 27 (10), 2039-2096, 2015 | 106 | 2015 |
Predicting the future of discrete sequences from fractal representations of the past P Tino, G Dorffner Machine Learning 45 (2), 187-217, 2001 | 93 | 2001 |
Incorporating privileged information through metric learning S Fouad, P Tino, S Raychaudhury, P Schneider IEEE transactions on neural networks and learning systems 24 (7), 1086-1098, 2013 | 91 | 2013 |