Peter Tiño - researchr alias

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2011

Searching for Coexpressed Genes in Three-Color cDNA Microarray Data Using a Probabilistic Model-Based Hough TransformPeter Tiño, Hongya Zhao, Hong Yan. tcbb, 8(4):1093-1107, 2011. [doi]

2010

Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. ProceedingsColin Fyfe, Peter Tiño, Darryl Charles, Cesar García-Osorio, Hujun Yin, editors, Volume 6283 of Lecture Notes in Computer Science, Springer, 2010. [doi]

Adapting to NAT timeout values in P2P overlay networksRichard Price, Peter Tiño. ipps 2010: 1-6 [doi]

2009

Visualization of Structured Data via Generative Probabilistic ModelingNikolaos Gianniotis, Peter Tiño. dagstuhl 2009: 118-137 [doi]

Still alive: Extending keep-alive intervals in P2P overlay networksRichard Price, Peter Tiño. colcom 2009: 1-10 [doi]

Fast parzen window density estimatorXiaoxia Wang, Peter Tiño, Mark A. Fardal, Somak Raychaudhury, Arif Babul. ijcnn 2009: 3267-3274 [doi]

2008

Predictive Modeling with Echo State NetworksMichal Cernanský, Peter Tiño. icann 2008: 778-787 [doi]

Visualization of Tree-Structured Data Through Generative Topographic MappingNikolaos Gianniotis, Peter Tiño. tnn, 19(8):1468-1493, 2008. [doi]

Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density ModelXiaoxia Wang, Peter Tiño, Mark A. Fardal. pkdd 2008: 566-581 [doi]

2007

Bifurcations of Renormalization Dynamics in Self-organizing Neural NetworksPeter Tiño. iconip 2008: 405-414 [doi]

Intelligent Data Engineering and Automated Learning - IDEAL 2007, 8th International Conference, Birmingham, UK, December 16-19, 2007, ProceedingsHujun Yin, Peter Tiño, Emilio Corchado, William Byrne, Xin Yao, editors, Volume 4881 of Lecture Notes in Computer Science, Springer, 2007.

2006

2005

2004

Introducing a Star Topology into Latent Class Models for Collaborative FilteringGabriela Polcicova, Peter Tiño. ifip12 2004: 293-304

Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patternsGabriela Polcicová, Peter Tiño. NN, 17(8-9):1183-1199, 2004. [doi]

Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent StrategiesRichard Price, Peter Tiño. ppsn 2004: 982-990 [doi]

Nonlinear Prediction of Quantitative Structure-Activity RelationshipsPeter Tiño, Ian T. Nabney, Bruce S. Williams, Jens Lösel, Yi Sun. jcisd, 44(5):1647-1653, 2004. [doi]

A generative probabilistic approach to visualizing sets of symbolic sequencesPeter Tiño, Ata Kabán, Yi Sun. kdd 2004: 701-706 [doi]

Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, ProceedingsXin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan J. Merelo Guervós, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel, editors, Volume 3242 of Lecture Notes in Computer Science, Springer, 2004.

2003

Recurrent Neural Networks with Small Weights Implement Definite Memory MachinesBarbara Hammer, Peter Tiño. neco, 15(8):1897-1929, 2003. [doi]

Architectural Bias in Recurrent Neural Networks: Fractal AnalysisPeter Tiño, Barbara Hammer. neco, 15(8):1931-1957, 2003. [doi]

2002

A General Framework for a Principled Hierarchical Visualization of Multivariate DataAta Kabán, Peter Tiño, Mark Girolami. ideal 2002: 518-523 [doi]

Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled WayPeter Tiño, Ian T. Nabney. pami, 24(5):639-656, 2002. [doi]

Architectural Bias in Recurrent Neural Networks - Fractal AnalysisPeter Tiño, Barbara Hammer. icann 2002: 1359-1364 [doi]

2001

2000

Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral InhibitionPeter Tiño, Michal Stancík, Lubica Benusková. ijcnn 2000: 265-270 [doi]

1999

Graded Grammaticality in Prediction Fractal MachinesShan Parfitt, Peter Tiño, Georg Dorffner. nips 2000: 52-58 [doi]

Spatial representation of symbolic sequences through iterative function systemsPeter Tiño. tsmc, 29(4):386-393, 1999.

Building Predictive Models from Fractal Representations of Symbolic SequencesPeter Tiño, Georg Dorffner. nips 2000: 645-651 [doi]

1998

Recurrent Neural Networks with Iterated Function Systems DynamicsPeter Tiño, Georg Dorffner. nc 1998: 526-532

Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems DynamicsPeter Tiño, Georg Dorffner, Christian Schittenkopf. hybrid 2000: 255-269

1995

Learning long-term dependencies is not as difficult with NARX networksTsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles. nips 1996: 577-583 [doi]