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Asymptotic Fisher memory of randomized linear symmetric Echo State Networks

Neurocomputing (Amsterdam), 2018-07, Vol.298, p.4-8

Tiňo, Peter

2018

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Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps

Neural computation, 2012-07, Vol.24 (7), p.1822-1852

2012

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Strong connectivity in real directed networks

Proceedings of the National Academy of Sciences - PNAS, 2023-03, Vol.120 (12), p.e2215752120

2023

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Unmodelled clustering methods for gravitational wave populations of compact binary mergers

Monthly notices of the Royal Astronomical Society, 2019-09, Vol.488 (3), p.3810-3817

2019

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Model-independent inference on compact-binary observations

Monthly notices of the Royal Astronomical Society, 2017-03, Vol.465 (3), p.3254-3254

2017

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Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite Manifold

IEEE transactions on cybernetics, 2023-08, Vol.53 (8), p.5178-5190

2023

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Ordinal regression based on learning vector quantization

Neural networks, 2017-09, Vol.93, p.76-88

2017

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Swarm-intelligence-based extraction and manifold crawling along the Large-Scale Structure

Monthly notices of the Royal Astronomical Society, 2023-02, Vol.520 (3), p.4517-4539

2023

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Influence and influenceability: global directionality in directed complex networks

Royal Society open science, 2023-08, Vol.10 (8), p.221380

2023

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Fitness-based growth of directed networks with hierarchy

Journal of physic, complexity, 2024-09, Vol.5 (3), p.35013

2024

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Foreword to the Focus Issue on Machine Intelligence in Astronomy and Astrophysics

Publications of the Astronomical Society of the Pacific, 2019-11, Vol.131 (1004), p.100101

2019

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Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction

Scientific reports, 2024-05, Vol.14 (1), p.10755-10755, Article 10755

2024

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ASAP – A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping

Neurocomputing (Amsterdam), 2022-01, Vol.470, p.376-388

2022

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Basic properties and information theory of Audic-Claverie statistic for analyzing cDNA arrays

BMC bioinformatics, 2009-09, Vol.10 (1), p.310-310, Article 310

Tino, Peter

2009

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Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space

Computers & chemical engineering, 2014-08, Vol.67, p.33-42

2014

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Network hierarchy and pattern recovery in directed sparse Hopfield networks

Physical review. E, 2022-06, Vol.105 (6), Article 064304

2022

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Probabilistic Classification Vector Machines

IEEE transaction on neural networks and learning systems, 2009-06, Vol.20 (6), p.901-914

2009

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Predictive Ensemble Pruning by Expectation Propagation

IEEE transactions on knowledge and data engineering, 2009-07, Vol.21 (7), p.999-1013

2009

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Short term memory in input-driven linear dynamical systems

Neurocomputing (Amsterdam), 2013-07, Vol.112, p.58-63

2013

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A New Framework for Analysis of Coevolutionary Systems—Directed Graph Representation and Random Walks

Evolutionary computation, 2019-06, Vol.27 (2), p.195-228

2019

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A geometric framework for pitch estimation on acoustic musical signals

Journal of mathematics and music (Society for Mathematics and Computation in Music), 2023-01, Vol.17 (1), p.100-132

2023

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Pushing for the Extreme: Estimation of Poisson Distribution from Low Count Unreplicated Data—How Close Can We Get?

Entropy (Basel, Switzerland), 2013-04, Vol.15 (4), p.1202-1220

Tino, Peter

2013

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Bifurcation structure of equilibria of iterated softmax

Chaos, solitons and fractals, 2009-08, Vol.41 (4), p.1804-1816

Tiňo, Peter

2009

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Markovian architectural bias of recurrent neural networks

IEEE transaction on neural networks and learning systems, 2004-01, Vol.15 (1), p.6-15

2004

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Spatial–temporal modelling of fMRI data through spatially regularized mixture of hidden process models

NeuroImage (Orlando, Fla.), 2014-01, Vol.84, p.657-671

2014

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Asymptotic Fisher memory of randomized linear symmetric Echo State Networks

Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps

Strong connectivity in real directed networks

Unmodelled clustering methods for gravitational wave populations of compact binary mergers

Model-independent inference on compact-binary observations

Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite Manifold

Ordinal regression based on learning vector quantization

Swarm-intelligence-based extraction and manifold crawling along the Large-Scale Structure

Influence and influenceability: global directionality in directed complex networks

Fitness-based growth of directed networks with hierarchy

Foreword to the Focus Issue on Machine Intelligence in Astronomy and Astrophysics

Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction

ASAP – A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping

Basic properties and information theory of Audic-Claverie statistic for analyzing cDNA arrays

Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space

Network hierarchy and pattern recovery in directed sparse Hopfield networks

Probabilistic Classification Vector Machines

Predictive Ensemble Pruning by Expectation Propagation

Short term memory in input-driven linear dynamical systems

A New Framework for Analysis of Coevolutionary Systems—Directed Graph Representation and Random Walks

A geometric framework for pitch estimation on acoustic musical signals

Pushing for the Extreme: Estimation of Poisson Distribution from Low Count Unreplicated Data—How Close Can We Get?

Bifurcation structure of equilibria of iterated softmax

Markovian architectural bias of recurrent neural networks

Spatial–temporal modelling of fMRI data through spatially regularized mixture of hidden process models

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