Peter Tiño
Orcid: 0000-0003-2330-128XAffiliations:
- University of Birmingham, School of Computer Science
According to our database1,
Peter Tiño
authored at least 199 papers
between 1995 and 2024.
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Bibliography
2024
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews.
CoRR, 2024
2023
LAAT: Locally Aligned Ant Technique for Discovering Multiple Faint Low Dimensional Structures of Varying Density.
IEEE Trans. Knowl. Data Eng., June, 2023
Hierarchical Reduced-Space Drift Detection Framework for Multivariate Supervised Data Streams.
IEEE Trans. Knowl. Data Eng., March, 2023
Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite Manifold.
IEEE Trans. Cybern., 2023
Real-Time Workflow Scheduling in Cloud with Recursive Neural Network and List Scheduling.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Inverse Solution Accuracy Using 12-Lead ECG vs 9 Significant Electrodes Derived by Greedy Algorithm.
Proceedings of the Computing in Cardiology, 2023
An Approach for Dynamic Behavioural Prediction and Fault Injection in Cyber-Physical Systems.
Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023
2022
Studies in Computational Intelligence 1046, Springer, ISBN: 978-3-031-04292-8, 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Neural Comput., 2022
ASAP - A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping.
Neurocomputing, 2022
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets.
CoRR, 2022
Astron. Comput., 2022
Artif. Intell., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Greedy Selection of the Torso Electrodes for the Solution of Inverse Problem with a Single Dipole.
Proceedings of the Computing in Cardiology, 2022
Surrogate-based Digital Twin for Predictive Fault Modelling and Testing of Cyber Physical Systems.
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022
2021
Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Probabilistic learning vector quantization on manifold of symmetric positive definite matrices.
Neural Networks, 2021
Designing Robust Models for Behaviour Prediction Using Sparse Data from Mobile Sensing: A Case Study of Office Workers' Availability for Well-being Interventions.
ACM Trans. Comput. Heal., 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Proceedings of the 2021 IEEE International Conference on Web Services, 2021
Model-Based Relevance of Measuring Electrodes for the Inverse Solution with a Single Dipole.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Pattern Recognit. Lett., 2020
A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information.
Neurocomputing, 2020
CoRR, 2020
Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
ACM Trans. Auton. Adapt. Syst., 2019
A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks.
Evol. Comput., 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Multiobjective Optimization Approach to Localization of Ectopic Beats by Single Dipole: Case Study.
Proceedings of the 46th Computing in Cardiology, 2019
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Neurocomputing, 2018
Neurocomputing, 2018
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Classification of sparsely and irregularly sampled time series: A learning in model space approach.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 IEEE International Conference on Web Services, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment.
Frontiers Comput. Neurosci., 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2016
Probabilistic Modelling for Delay Estimation in Gravitationally Lensed Photon Streams.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 2015 IEEE International Conference on Web Services, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection.
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Pattern Anal. Appl., 2014
Neural Networks, 2014
Spatial-temporal modelling of fMRI data through spatially regularized mixture of hidden process models.
NeuroImage, 2014
Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network.
Eng. Appl. Artif. Intell., 2014
Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space.
Comput. Chem. Eng., 2014
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
IEEE Trans. Syst. Man Cybern. Syst., 2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Complex Coevolutionary Dynamics - Structural Stability and Finite Population Effects.
IEEE Trans. Evol. Comput., 2013
IEEE Trans. Evol. Comput., 2013
IEEE Trans. Biomed. Eng., 2013
Neural Comput., 2013
Neurocomputing, 2013
Neurocomputing, 2013
Pushing for the Extreme: Estimation of Poisson Distribution from Low Count Unreplicated Data - How Close Can We Get?
Entropy, 2013
A Spatial Mixture Approach to Inferring Sub-ROI Spatio-temporal Patterns from Rapid Event-Related fMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
2012
IEEE Trans. Evol. Comput., 2012
Neural Comput., 2012
Neural Comput., 2012
Mob. Networks Appl., 2012
Proceedings of the Theory and Practice of Natural Computing, 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Searching for Coexpressed Genes in Three-Color cDNA Microarray Data Using a Probabilistic Model-Based Hough Transform.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Proceedings of the Mathematical and Engineering Methods in Computer Science, 2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
Proceedings of the 2011 Imperial College Computing Student Workshop, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application.
Pattern Recognit., 2010
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the European Conference on Modelling and Simulation, 2010
Proceedings of the Learning paradigms in dynamic environments, 25.07. - 30.07.2010, 2010
2009
IEEE Trans. Knowl. Data Eng., 2009
IEEE Trans. Comput. Intell. AI Games, 2009
Basic properties and information theory of Audic-Claverie statistic for analyzing cDNA arrays.
BMC Bioinform., 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Probabilistic Model Based Hough Transform for Detection of Co-expression Patterns in Three-Color cDNA Microarray Data.
Proceedings of the International Joint Conferences on Bioinformatics, 2009
Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model.
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009
Proceedings of the Similarity-Based Clustering, 2009
Proceedings of the 5th International Conference on Collaborative Computing: Networking, 2009
2008
IEEE Trans. Neural Networks, 2008
IEEE Trans. Evol. Comput., 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Artificial Neural Networks, 2008
2007
Proceedings of the Perspectives of Neural-Symbolic Integration, 2007
Equilibria of Iterative Softmax and Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks.
Neural Comput., 2007
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling.
Proceedings of the IJCAI 2007, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Comparison of Echo State Networks with Simple Recurrent Networks and Variable-Length Markov Models on Symbolic Sequences.
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
Neural Comput., 2006
Neural Comput., 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the 2006 Joint Conference on Information Sciences, 2006
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses.
Proceedings of the Machine Learning: ECML 2006, 2006
2005
IEEE Trans. Knowl. Data Eng., 2005
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005
On Non-markovian Topographic Organization of Receptive Fields in Recursive Self-organizing Map.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
2004
IEEE Trans. Neural Networks, 2004
Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patterns.
Neural Networks, 2004
J. Chem. Inf. Model., 2004
Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Proceedings of the Artificial Intelligence Applications and Innovations, 2004
Proceedings of the Compositional Connectionism in Cognitive Science, 2004
2003
Neural Comput., 2003
Neural Comput., 2003
2002
Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way.
IEEE Trans. Pattern Anal. Mach. Intell., 2002
A General Framework for a Principled Hierarchical Visualization of Multivariate Data.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
2001
IEEE Trans. Neural Networks, 2001
Volatility Trading ia Temporal Pattern Recognition in Quantised Financial Time Series.
Pattern Anal. Appl., 2001
Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks).
Neural Comput., 2001
Predicting the Future of Discrete Sequences from Fractal Representations of the Past.
Mach. Learn., 2001
Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds.
Proceedings of the Artificial Neural Networks, 2001
2000
Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000
1999
IEEE Trans. Syst. Man Cybern. Part A, 1999
Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences.
IEEE Trans. Neural Networks, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
1998
Recurrent Neural Networks with Iterated Function Systems Dynamics.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998
Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics.
Proceedings of the Hybrid Neural Systems, 1998
1997
Extracting stochastic machines from recurrent neural networks trained on complex symbolic sequences.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1997
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997
1996
IEEE Trans. Neural Networks, 1996
1995
Neural Comput., 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995