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A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128434, Article 128434

2024

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Improving conformalized quantile regression through cluster-based feature relevance

Expert systems with applications, 2024-03, Vol.238, p.122322, Article 122322

2024

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Towards lifelong assistive robotics: A tight coupling between object perception and manipulation

Neurocomputing (Amsterdam), 2018-05, Vol.291, p.151-166

2018

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GOOD: A global orthographic object descriptor for 3D object recognition and manipulation

Pattern recognition letters, 2016-11, Vol.83, p.312-320

2016

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A NMF-based extraction of physically meaningful components from sensory data of metal casting processes

Journal of manufacturing systems, 2020-01, Vol.54, p.62-73

2020

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3D object perception and perceptual learning in the RACE project

Robotics and autonomous systems, 2016-01, Vol.75, p.614-626

2016

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Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.5573740-5573740

2021

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A green’s function-based Bi-dimensional empirical mode decomposition

Information sciences, 2016-06, Vol.348, p.305-321

2016

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Coping with Context Change in Open-Ended Object Recognition without Explicit Context Information

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, p.1-7

2018

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Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task

PloS one, 2015-04, Vol.10 (4), p.e0119489-e0119489

2015

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A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions

Soft computing (Berlin, Germany), 2020-03, Vol.24 (5), p.3809-3827

2020

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Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task

PloS one, 2016-12, Vol.11 (12), p.e0167957-e0167957

2016

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Interactive Open-Ended Learning for 3D Object Recognition: An Approach and Experiments

Journal of intelligent & robotic systems, 2015-12, Vol.80 (3-4), p.537-553

2015

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An orthographic descriptor for 3D object learning and recognition

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, p.4158-4163

2016

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Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions

Biomedical signal processing and control, 2016-09, Vol.30, p.53-63

2016

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Minimum Determinant Constraint for Non-negative Matrix Factorization

Independent Component Analysis and Signal Separation, p.106-113

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The generalized eigendecomposition approach to the blind source separation problem

Digital signal processing, 2006-05, Vol.16 (3), p.288-302

Tomé, Ana Maria

2006

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Z-Images

Pattern Recognition and Image Analysis, p.177-184

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A New Approach to Eliminate High Amplitude Artifacts in EEG Signals

Sensors & transducers, 2016-09, Vol.204 (9), p.11-11

2016

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Long-term forecasting of hourly retail customer flow on intermittent time series with multiple seasonality

Data science and management, 2022-09, Vol.5 (3), p.137-148

2022

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Pirlindole in the Treatment of Depression and Fibromyalgia Syndrome

Clinical drug investigation, 2011-10, Vol.31 (10), p.675-689

2011

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Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition

IEEE transactions on pattern analysis and machine intelligence, 2020-10, Vol.42 (10), p.2567-2580

2020

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Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets

Signal processing, 2018-03, Vol.144, p.77-86

2018

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Feature Extraction Using Linear and Non-linear Subspace Techniques

Artificial Neural Networks – ICANN 2009, p.115-124

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Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2018, Vol.32 (1)

2018

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A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting

Improving conformalized quantile regression through cluster-based feature relevance

Towards lifelong assistive robotics: A tight coupling between object perception and manipulation

GOOD: A global orthographic object descriptor for 3D object recognition and manipulation

A NMF-based extraction of physically meaningful components from sensory data of metal casting processes

3D object perception and perceptual learning in the RACE project

Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning

A green’s function-based Bi-dimensional empirical mode decomposition

Coping with Context Change in Open-Ended Object Recognition without Explicit Context Information

Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task

A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions

Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task

Interactive Open-Ended Learning for 3D Object Recognition: An Approach and Experiments

An orthographic descriptor for 3D object learning and recognition

Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions

Minimum Determinant Constraint for Non-negative Matrix Factorization

The generalized eigendecomposition approach to the blind source separation problem

Z-Images

A New Approach to Eliminate High Amplitude Artifacts in EEG Signals

Long-term forecasting of hourly retail customer flow on intermittent time series with multiple seasonality

Pirlindole in the Treatment of Depression and Fibromyalgia Syndrome

Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition

Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets

Feature Extraction Using Linear and Non-linear Subspace Techniques

Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots

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