C. Lima

发表

Mixture of experts applied to nonlinear dynamic systems identification: a comparative study

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

Least-squares support vector machines for DOA estimation: a step-by-step description and sensitivity analysis

F.J. Von Zuben, J.M.T. Romano, C. Junqueira, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Automatic recognition of epileptic seizure in EEG via support vector machine and dimension fractal

Clodoaldo Ap. M. Lima, Pollyana N. Mustaro, Mauro Schneider, 2009, 2009 International Joint Conference on Neural Networks.

An Investigation on Support Vector Machines and Wavelet Transform in Electroencephalogram Signal Classification

Sarajane Marques Peres, Clodoaldo Ap. M. Lima, Marcio Eisencraft, 2013 .

Introducing a Language for Human Stance Description

Clodoaldo Ap. M. Lima, António C. Mabiala, Antonio W. Sousa, 2016, HCI.

Gesture phase segmentation using support vector machines

Sarajane Marques Peres, Renata C. B. Madeo, Clodoaldo Ap. M. Lima, 2016, Expert Syst. Appl..

Pattern classification with mixtures of weighted least-squares support vector machine experts

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2009, Neural Computing and Applications.

Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2007, Inf. Sci..

Embedding Support Vector Machines into Localised Mixtures of Experts

André L. V. Coelho, Fernando J. Von Zuben, Clodoaldo A. M. Lima, 2004 .

Automatic Facial Recognition: A Systematic Review on the Problem of Light Variation

Clodoaldo Ap. M. Lima, Norton Trevisan Roman, João L. Bernardes, 2016, HCI.

A Wrapper for Projection Pursuit Learning

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, Leonardo M. Holschuh, 2007, 2007 International Joint Conference on Neural Networks.

EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment

João Paulo Papa, Victor Hugo C. de Albuquerque, Clodoaldo Ap. M. Lima, 2014, Neurocomputing.

Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study

Clodoaldo Ap. M. Lima, André L. V. Coelho, C. Lima, 2011, Artif. Intell. Medicine.

Tackling EEG signal classification with least squares support vector machines: A sensitivity analysis study

Clodoaldo Ap. M. Lima, André L. V. Coelho, Marcio Eisencraft, 2010, Comput. Biol. Medicine.

Hybrid architecture for gesture recognition: Integrating fuzzy-connectionist and heuristic classifiers using fuzzy syntactical strategy

Clodis Boscarioli, Sarajane Marques Peres, Renata C. B. Madeo, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Studies in automated hand gesture analysis: an overview of functional types and gesture phases

Sarajane Marques Peres, Renata C. B. Madeo, Clodoaldo Ap. M. Lima, 2016, Lang. Resour. Evaluation.

Mixture of heterogeneous experts applied to time series: a comparative study

C.A.M. Lima, F.J. Von Zuben, W.J. Puma-Villanueva, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Grammatical facial expression recognition in sign language discourse: a study at the syntax level

Sarajane Marques Peres, Clodoaldo Ap. M. Lima, Fernando de Almeida Freitas, 2017, Inf. Syst. Frontiers.

An Evolutionary Framework for Nonlinear Time-Series Prediction with Adaptive Gated Mixtures of Experts

André L. V. Coelho, Fernando J. Von Zuben, Clodoaldo A. M. Lima, 2007 .

Assessing fractal dimension methods as feature extractors for EMG signal classification

Clodoaldo Ap. M. Lima, André L. V. Coelho, C. Lima, 2014, Eng. Appl. Artif. Intell..

Representação de Gestos em Análise Sintática: uma Revisão Sistemática da Literatura [Representation of Gestures in Syntactic Analysis: a Systematic Literature Review]

Sarajane Marques Peres, Clodoaldo A. M. Lima, Ricardo A. Feitosa, 2016, SBSI.

Multidimensional Representations for the Gesture Phase Segmentation Problem - An Exploratory Study using Multilayer Perceptrons

Sarajane Marques Peres, Clodoaldo Ap. M. Lima, Ricardo A. Feitosa, 2018, ICAART.

Classification of electromyography signals using relevance vector machines and fractal dimension

André L. V. Coelho, C. Lima, S. M. Peres, 2015, Neural computing & applications (Print).

Feature selection for biometrie recognition based on electrocardiogram signals

Sarajane Marques Peres, Clodoaldo Ap. M. Lima, Felipe Gustavo Silva Teodoro, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines

Clodoaldo Ap. M. Lima, André L. V. Coelho, Sandro Chagas, 2009, Expert Syst. Appl..

Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms

André L. V. Coelho, V. Albuquerque, C. Lima, 2019, Neural Computing and Applications.

Gesture Unit Segmentation Using Spatial-Temporal Information and Machine Learning

Priscilla Koch Wagner, Sarajane Marques Peres, Renata C. B. Madeo, 2014, FLAIRS.

Gesture unit segmentation using support vector machines: segmenting gestures from rest positions

Sarajane Marques Peres, Renata C. B. Madeo, Clodoaldo Ap. M. Lima, 2013, SAC '13.

A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem

Takaaki Ohishi, Fernando José Von Zuben, Clodoaldo Ap. M. Lima, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Comparative study between Deep Face, Autoencoder and Traditional Machine Learning Techniques aiming at Biometric Facial Recognition

Jonnathann S. Finizola, Jonas M. Targino, Felipe G.S. Teodoro, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

A Review on Temporal Reasoning Using Support Vector Machines

Sarajane Marques Peres, Renata C. B. Madeo, Clodoaldo Ap. M. Lima, 2012, 2012 19th International Symposium on Temporal Representation and Reasoning.

Symbolic representations of time series applied to biometric recognition based on ECG signals

Sarajane Marques Peres, Clodoaldo Ap. M. Lima, Edenilton Lima de Oliveira, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Channel selection for EEG-based biometric recognition

Clodoaldo Ap. M. Lima, Rodrigo A. de Freitas Vieira, C. Lima, 2018, SBSI.