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ORCIDClodoaldo Ap. M. Lima
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2020 – today
- 2023
[c37]Bruno Kemmer
, Rodolfo Simões, Victor Ivamoto, Clodoaldo Ap. M. Lima:
Performance Analysis of Generative Adversarial Networks and Diffusion Models for Face Aging. BRACIS (2) 2023: 228-242- [c36]Victor Ivamoto, Rodolfo Simões, Bruno Kemmer, Clodoaldo Ap. M. Lima:
Occluded Face In-painting Using Generative Adversarial Networks - A Review. BRACIS (2) 2023: 243-258 - 2021
- [c35]André Ribeiro Moraes, Clodoaldo Aparecido de Moraes Lima:
Facial Detection in Uncontrolled Environments: Systematic Literature Review. SBSI 2021: 56:1-56:8 - 2020
- [c34]Maria Eduarda de Araújo Cardoso, Sarajane Marques Peres, Fernando de Almeida Freitas, Felipe Venância Barbosa, Clodoaldo Aparecido de Moraes Lima, Patrick Hung:
Automatic Segmentation of Grammatical Facial Expressions in Sign Language: Towards an Inclusive Communication Experience. HICSS 2020: 1-10
2010 – 2019
- 2019
- [j12]Luís A. M. Pereira, João P. Papa, André L. V. Coelho, Clodoaldo Ap. M. Lima, Danillo Roberto Pereira, Victor Hugo C. de Albuquerque:
Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms. Neural Comput. Appl. 31(S-2): 1317-1329 (2019) - [c33]Jonnathann Silva Finizola, Jonas Mendonça Targino, Felipe Gustavo Silva Teodoro, Clodoaldo Ap. M. Lima:
Comparative study between Deep Face, Autoencoder and Traditional Machine Learning Techniques aiming at Biometric Facial Recognition. IJCNN 2019: 1-8 - 2018
- [c32]Jonnathann Silva Finizola, Jonas Mendonça Targino, Felipe Gustavo Silva Teodoro, Clodoaldo Aparecido de Moraes Lima:
A Comparative Study Between Deep Learning and Traditional Machine Learning Techniques for Facial Biometric Recognition. IBERAMIA 2018: 217-228 - [c31]Ricardo A. Feitosa, Jallysson M. Rocha, Clodoaldo Ap. M. Lima, Sarajane Marques Peres:
Multidimensional Representations for the Gesture Phase Segmentation Problem - An Exploratory Study using Multilayer Perceptrons. ICAART (2) 2018: 347-354 - [c30]Jonas Mendonça Targino, Sarajane Marques Peres, Clodoaldo Ap. M. Lima:
Comparative study of subspace-based techniques in the task of partially occluded reconstruction of faces. SBSI 2018: 35:1-35:9 - [c29]Rodrigo A. de Freitas Vieira, Clodoaldo Aparecido de Moraes Lima:
Channel selection for EEG-based biometric recognition. SBSI 2018: 47:1-47:8 - 2017
- [j11]Fernando de Almeida Freitas, Sarajane Marques Peres, Clodoaldo Ap. M. Lima, Felipe Venâncio Barbosa:
Grammatical facial expression recognition in sign language discourse: a study at the syntax level. Inf. Syst. Frontiers 19(6): 1243-1259 (2017) - [j10]Renata C. B. Madeo, Clodoaldo Ap. M. Lima, Sarajane Marques Peres:
Studies in automated hand gesture analysis: an overview of functional types and gesture phases. Lang. Resour. Evaluation 51(2): 547-579 (2017) - [c28]Lucas Fernandes Brunialti, Sarajane Marques Peres, Valdinei Freire da Silva, Clodoaldo Aparecido de Moraes Lima:
The BinOvNMTF Algorithm: Overlapping Columns Co-clustering Based on Non-negative Matrix Tri-factorization. BRACIS 2017: 330-335 - [c27]Felipe Gustavo Silva Teodoro, Sarajane Marques Peres, Clodoaldo Ap. M. Lima:
Feature selection for biometrie recognition based on electrocardiogram signals. IJCNN 2017: 2911-2920 - [c26]Henrique dos Santos Passos, Felipe Gustavo Silva Teodoro, Bruno Matarazzo Duru, Edenilton Lima de Oliveira, Sarajane Marques Peres, Clodoaldo Ap. M. Lima:
Symbolic representations of time series applied to biometric recognition based on ECG signals. IJCNN 2017: 3199-3207 - 2016
- [j9]Renata Cristina Barros Madeo, Sarajane Marques Peres, Clodoaldo Aparecido de Moraes Lima:
Gesture phase segmentation using support vector machines. Expert Syst. Appl. 56: 100-115 (2016) - [j8]Clodoaldo Ap. M. Lima, André L. V. Coelho, Renata C. B. Madeo, Sarajane Marques Peres:
Classification of electromyography signals using relevance vector machines and fractal dimension. Neural Comput. Appl. 27(3): 791-804 (2016) - [c25]Danilo Ribeiro, João Luiz Bernardes, Norton Trevisan Roman, Marcelo M. Antunes, Enrique M. Ortega, Antonio W. Sousa, Luciano A. Digiampietri, Luís M. del Val Cura, Valdinei F. Silva, Clodoaldo Ap. M. Lima:
Analysis of Choreographed Human Movements Using Depth Cameras: A Systematic Review. HCI (2) 2016: 82-92 - [c24]António C. Mabiala, Antonio W. Sousa, Norton Trevisan Roman, João Luiz Bernardes Jr., Marcelo M. Antunes, Enrique M. Ortega, Luciano A. Digiampietri, Luís M. del Val Cura, Valdinei F. da Silva, Clodoaldo Ap. M. Lima:
Introducing a Language for Human Stance Description. HCI (15) 2016: 179-190 - [c23]Kelvin S. Prado, Norton Trevisan Roman, Valdinei F. Silva, João Luiz Bernardes Jr., Luciano A. Digiampietri, Enrique M. Ortega, Clodoaldo Ap. M. Lima, Luís M. del Val Cura, Marcelo M. Antunes:
Automatic Facial Recognition: A Systematic Review on the Problem of Light Variation. HCI (2) 2016: 211-221 - [c22]Edenilton L. Oliveira, Clodoaldo Ap. M. Lima, Sarajane M. Peres:
Fusão de Face e Forma de Andar para Reconhecimento Biométrico: Revisão Sistemática de Literatura [Fusion of Face and Gait for Biometric Recognition: Systematic Literature Review]. SBSI 2016: 108-115 - [c21]Ricardo A. Feitosa, Sarajane M. Peres, Clodoaldo Ap. M. Lima:
Representação de Gestos em Análise Sintática: uma Revisão Sistemática da Literatura [Representation of Gestures in Syntactic Analysis: a Systematic Literature Review]. SBSI 2016: 502-509 - 2015
- [c20]Daniel M. M. da Costa, Sarajane Marques Peres, Clodoaldo Ap. M. Lima, Pollyana Notargiacomo Mustaro:
Face recognition using Support Vector Machine and multiscale directional image representation methods: A comparative study. IJCNN 2015: 1-8 - [c19]Lucas Fernandes Brunialti, Sarajane Marques Peres, Valdinei Freire, Clodoaldo Ap. M. Lima:
Aprendizado de Máquina em Sistemas de Recomendação Baseados em Conteúdo Textual: Uma Revisão Sistemática [Machine Learning in Textual Content-Based Recommendation Systems: A Systematic Review]. SBSI 2015: 203-210 - [c18]Daniel M. M. da Costa, Henrique dos Santos Passos, Sarajane Marques Peres, Clodoaldo Ap. M. Lima:
Um estudo comparativo das estratégias de fusão no nível de característica para Sistemas Biométricos Multimodais baseados em face e íris [A comparative study of feature level fusion strategies for Multimodal Biometric Systems based on Face and Iris]. SBSI 2015: 219-226 - 2014
- [j7]André L. V. Coelho, Clodoaldo Ap. M. Lima:
Assessing fractal dimension methods as feature extractors for EMG signal classification. Eng. Appl. Artif. Intell. 36: 81-98 (2014) - [j6]Thiago M. Nunes, André L. V. Coelho, Clodoaldo Ap. M. Lima, João P. Papa, Victor Hugo C. de Albuquerque:
EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment. Neurocomputing 136: 103-123 (2014) - [c17]Fernando de Almeida Freitas, Sarajane Marques Peres, Clodoaldo Aparecido de Moraes Lima, Felipe Venâncio Barbosa:
Grammatical Facial Expressions Recognition with Machine Learning. FLAIRS 2014 - [c16]Priscilla Koch Wagner, Sarajane Marques Peres, Renata Cristina Barros Madeo, Clodoaldo Aparecido de Moraes Lima, Fernando de Almeida Freitas:
Gesture Unit Segmentation Using Spatial-Temporal Information and Machine Learning. FLAIRS 2014 - 2013
- [c15]Renata C. B. Madeo, Clodoaldo Ap. M. Lima, Sarajane Marques Peres:
Gesture unit segmentation using support vector machines: segmenting gestures from rest positions. SAC 2013: 46-52 - 2012
- [c14]Renata C. B. Madeo, Sarajane Marques Peres, Clodoaldo Ap. M. Lima, Clodis Boscarioli:
Hybrid architecture for gesture recognition: Integrating fuzzy-connectionist and heuristic classifiers using fuzzy syntactical strategy. IJCNN 2012: 1-8 - [c13]Renata C. B. Madeo, Clodoaldo Ap. M. Lima, Sarajane Marques Peres:
A Review on Temporal Reasoning Using Support Vector Machines. TIME 2012: 114-121 - 2011
- [j5]Clodoaldo Ap. M. Lima, André L. V. Coelho:
Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study. Artif. Intell. Medicine 53(2): 83-95 (2011) - 2010
- [j4]Clodoaldo Ap. M. Lima, André L. V. Coelho, Marcio Eisencraft:
Tackling EEG signal classification with least squares support vector machines: A sensitivity analysis study. Comput. Biol. Medicine 40(8): 705-714 (2010)
2000 – 2009
- 2009
- [j3]Clodoaldo Ap. M. Lima, André L. V. Coelho, Sandro Chagas:
Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines. Expert Syst. Appl. 36(6): 10054-10059 (2009) - [j2]Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben:
Pattern classification with mixtures of weighted least-squares support vector machine experts. Neural Comput. Appl. 18(7): 843-860 (2009) - [c12]Lia C. Rodrigues, Clodoaldo Ap. M. Lima, Pollyana Notargiacomo Mustaro:
Clustering online game communities through SOM. IJCNN 2009: 2699-2702 - [c11]Mauro Schneider, Pollyana Notargiacomo Mustaro, Clodoaldo Ap. M. Lima:
Automatic recognition of epileptic seizure in EEG via support vector machine and dimension fractal. IJCNN 2009: 2841-2845 - 2008
- [c10]Lia C. Rodrigues, Clodoaldo Ap. M. Lima, Pedro Paulo Balbi de Oliveira, Pollyana Notargiacomo Mustaro:
Clusterization of an Online Game Community through Self-Organizing Maps and an Evolved Fuzzy System. ICNC (2) 2008: 330-334 - 2007
- [j1]Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben:
Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification. Inf. Sci. 177(10): 2049-2074 (2007) - [c9]Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
A Wrapper for Projection Pursuit Learning. IJCNN 2007: 2892-2897 - [c8]Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben:
Analysis of Sensitivity to the Kernel Parameter Choice: Comparing the Performance Profiles Exhibited by Standard andLeast-Squares SVM Classifiers. ISDA 2007: 127-132 - 2006
- [c7]Clodoaldo Ap. M. Lima, Rafael Ferrari, Helder Knidel, Cynthia Junqueira, Romis Ribeiro Faissol Attux, João Marcos Travassos Romano, Fernando J. Von Zuben:
Support Vector Clustering Applied to Digital Communications. IJCNN 2006: 1642-1648 - [c6]Ricardo Menezes Salgado, Joaquim J. F. Pereira, Takaaki Ohishi, Rosangela Ballini, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem. IJCNN 2006: 2627-2634 - 2004
- [b1]Clodoaldo Aparecido de Moraes Lima:
Committee machines: a unified approach using support vector machines. University of Campinas, Brazil, 2004 - 2003
- [c5]André L. V. Coelho, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
GA-based selection of components for heterogeneous ensembles of support vector machines. IEEE Congress on Evolutionary Computation 2003: 2238-2245 - [c4]Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben:
A Multiagent-Based Constructive Approach for Feedforward Neural Networks. IDA 2003: 462-473 - [c3]André L. V. Coelho, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
Hybrid genetic training of gated mixtures of experts for nonlinear time series forecasting. SMC 2003: 4625-4630 - 2002
- [c2]Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben:
Fuzzy systems design via ensembles of ANFIS. FUZZ-IEEE 2002: 506-511 - [c1]Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben:
Mixture of Experts Applied to Nonlinear Dynamic Systems Identification: A Comparative Study. SBRN 2002: 162-167
Coauthor Index
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