Peter Tino
Peter Tino
Professor of Complex and Adaptive Systems, University of Birmingham, UK
Verified email at - Homepage
Cited by
Cited by
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
Minimum complexity echo state network
A Rodan, P Tiňo
Neural Networks, IEEE Transactions on, 1-14, 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
Managing diversity in regression ensembles.
G Brown, JL Wyatt, P Tino, Y Bengio
Journal of machine learning research 6 (9), 2005
Markovian architectural bias of recurrent neural networks
P Tino, M Cernansky, L Benuskova
IEEE Transactions on Neural Networks 15 (1), 6-15, 2004
Evolutionary Algorithms (Evolučné algoritmy, in Slovak)
V Kvasnička, J Pospíchal, P Tiňo
STU, 2000
Financial volatility trading using recurrent neural networks
P Tino, C Schittenkopf, G Dorffner
IEEE transactions on neural networks 12 (4), 865-874, 2001
Probabilistic classification vector machines
H Chen, P Tino, X Yao
IEEE Transactions on Neural Networks 20 (6), 901-914, 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
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
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
Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps
A Rodan, P Tiˇno
Neural computation 24 (7), 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
Predictive ensemble pruning by expectation propagation
H Chen, P Tiňo, X Yao
IEEE Transactions on Knowledge and Data Engineering 21 (7), 999-1013, 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
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
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
Indefinite proximity learning: A review
FM Schleif, P Tino
Neural Computation 27 (10), 2039-2096, 2015
Predicting the future of discrete sequences from fractal representations of the past
P Tino, G Dorffner
Machine Learning 45 (2), 187-217, 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
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