João Luís Garcia Rosa

Orcid: 0000-0002-9491-9434

Affiliations:
  • University of Sao Paulo, Brazil


According to our database1, João Luís Garcia Rosa authored at least 52 papers between 1999 and 2023.

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Bibliography

2023
Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification.
Appl. Intell., December, 2023

Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis.
Neural Comput. Appl., June, 2023

Early Detection of Autism Spectrum Disorder Using Non-Invasive EEG.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022
Impact of Sampling Rate and Eye-Condition on Resting Quantitative EEG.
Proceedings of the Signal Processing: Algorithms, 2022

2021
Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection.
Biomed. Signal Process. Control., 2021

2019
Classification for EEG report generation and epilepsy detection.
Neurocomputing, 2019

Epilepsy detection using multiclass classifier based on spectral features.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Differentiation between Normal and Interictal EEG Using Multitaper Spectral Classifiers.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Rule induction algorithms for classification of psychotic disorders involving social vulnerability features.
Proceedings of the CENTERIS 2018 - International Conference on ENTERprise Information Systems / ProjMAN 2018 - International Conference on Project MANagement / HCist 2018, 2018

2017
Semi-supervised Semantic Role Labeling for Brazilian Portuguese.
J. Inf. Data Manag., 2017

How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier?
Appl. Intell., 2017

The use of one-class classifiers for differentiating healthy from epileptic EEG segments.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Stochastic and deterministic stationarity analysis of EEG data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Restricted exhaustive search for frequency band selection in motor imagery classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Improving semantic role labeling using high-level classification in complex networks.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Differentiation Between Normal and Epileptic EEG Using K-Nearest-Neighbors Technique.
Proceedings of the Machine Learning for Health Informatics, 2016

A new cognitive filtering approach based on Freeman K3 Neural Networks.
Appl. Intell., 2016

Dimensionality Reduction Effect Analysis of EEG Signals in Cross-Correlation Classifiers Performance.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese.
J. Braz. Comput. Soc., 2015

A simulator for Freeman K-sets in Java.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Predictive Models for Differentiation Between Normal and Abnormal EEG Through Cross-Correlation and Machine Learning Techniques.
Proceedings of the Towards Integrative Machine Learning and Knowledge Extraction, 2015

2014
Network-based data classification: combining K-associated optimal graphs and high-level prediction.
J. Braz. Comput. Soc., 2014

A connectionist approach to airliner safety.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Motor imagery classification for brain-computer interfaces through a chaotic neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Face recognition through a chaotic neural network model.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Mac-Morpho Revisited: Towards Robust Part-of-Speech Tagging.
Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology, 2013

Cognitive clustering algorithm for efficient cybersecurity applications.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A two-step convolutional neural network approach for semantic role labeling.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Biological Plausibility in an Artificial Neural Network Applied to Real Predictive Tasks.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
An Architecture for Semantic Role Labeling on Portuguese.
Proceedings of the Computational Processing of the Portuguese Language, 2012

Towards Semi-supervised Brazilian Portuguese Semantic Role Labeling: Building a Benchmark.
Proceedings of the Computational Processing of the Portuguese Language, 2012

Semantic Role Labeling for Brazilian Portuguese: A Benchmark.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Metaphone-pt_BR: The Phonetic Importance on Search and Correction of Textual Information.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2012

2011
Advances on criteria for biological plausibility in artificial neural networks: Think of learning processes.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

CARESS1 - Commercial Airliner Emergency Safety System.
Proceedings of the ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Noordwijkerhout, The Netherlands, 28, 2011

2010
Biologically Plausible Connectionist Prediction of Natural Language Thematic Relations.
J. Univers. Comput. Sci., 2010

Biologically plausible connectionist prediction of natural language thematic relations.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Application and development of biologically plausible neural networks in a multiagent artificial life system.
Neural Comput. Appl., 2009

A HYBrid symbolic-connectionist processor of natural language semantic relations.
Proceedings of the 2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009

2008
SABIO: A Biologically Plausible Connectionist Approach to Automatic Text Summarization.
Appl. Artif. Intell., 2008

Biological Plausibility in Artificial Neural Networks: An Improvement on Earlier Models.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
A Connectionist Thematic Grid Predictor for Pre-parsed Natural Language Sentences.
Proceedings of the Advances in Neural Networks, 2007

Personalized Web Page Filtering Using a Hopfield Neural Network.
Proceedings of the Artificial Neural Networks, 2007

2006
SABio: An Automatic Portuguese Text Summarizer Through Artificial Neural Networks in a More Biologically Plausible Model.
Proceedings of the Computational Processing of the Portuguese Language, 2006

2004
A Biologically Motivated and Computationally Efficient Natural Language Processor.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

2003
A biologically plausible and computationally efficient architecture and algorithm for a connectionist natural language processor.
Proceedings of the IEEE International Conference on Systems, 2003

2002
Neural Connect 4 - A Connectionist Approach to the Game.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

A Biologically Inspired Connectionist System for Natural Language Processing.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

2001
HTRP II: learning thematic relations from semantically sound sentences.
Proceedings of the IEEE International Conference on Systems, 2001

2000
Linguistic Relations Encoding in a Symbolic-Connectionist Hybrid Natural Language Processor.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Um sistema hibrido simbolico-conexionista para o processamento de papeis tematicos.
PhD thesis, 1999

Hybrid Thematic Role Processor: Symbolic Linguistic Relations Revised by Connectionist Learning.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999


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