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Carlos Dias Maciel
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- affiliation: Universidade de São Paulo, Brasil
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2020 – today
- 2024
- [j27]Rafael Rodrigues Mendes Ribeiro
, Jordão Natal de Oliveira Júnior, Cassio Polpo de Campos, Carlos Dias Maciel:
Conditional probability table limit-based quantization for Bayesian networks: model quality, data fidelity and structure score. Appl. Intell. 54(6): 4668-4688 (2024) - [j26]Victor Hugo Batista Tsukahara, Jordão Natal de Oliveira Júnior, Tamiris Prizon, Rafael N. Ruggiero, Carlos Dias Maciel:
The time lag in local field potential signals for the development of its Bayesian belief network. EURASIP J. Adv. Signal Process. 2024(1): 87 (2024) - [j25]Fernando Juliani
Bayesian networks supporting management practices: A multifaceted perspective based on the literature. Int. J. Inf. Manag. Data Insights 4(1): 100231 (2024) - [j24]Henrique de Oliveira Caetano
Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation. Reliab. Eng. Syst. Saf. 241: 109691 (2024) - [j23]Luiz Desuó Neto
A Multilayer System and Optimization Framework for Team Dispatch Towards Service Recovery. IEEE Trans. Reliab. 73(1): 156-169 (2024) - [c32]Vitor Barth, Henrique de Oliveira Caetano, Carlos Dias Maciel, Marco Aiello:
Quantifying uncertainty in Bayesian Networks structural learning. EAIS 2024: 1-8 - [c31]Henrique de Oliveira Caetano, Matheus de Souza Sant'Anna Fogliatto, Luiz Desuó Neto, Benvindo R. Pereira Júnior, Carlos Dias Maciel, Marco Aiello:
Intelligent Resource Allocation in Power Grids: Leveraging Variable Neighborhood Search for Optimal Switch Allocation. EAIS 2024: 1-8 - 2023
- [j22]Rafael Rodrigues Mendes Ribeiro
Bayesian Network Structural Learning Using Adaptive Genetic Algorithm with Varying Population Size. Mach. Learn. Knowl. Extr. 5(4): 1877-1887 (2023) - [c30]João Paulo Soares, Vitor Barth, Alan Eckeli, Carlos Dias Maciel:
Hybrid Improved Physarum Learner for Structure Causal Discovery. BIOSIGNALS 2023: 234-240 - 2022
- [j21]Julio A. D. Massignan
Bayesian Inference Approach for Information Fusion in Distribution System State Estimation. IEEE Trans. Smart Grid 13(1): 526-540 (2022) - [c29]Rafael Rodrigues Mendes Ribeiro
AGAVaPS - Adaptive Genetic Algorithm with Varying Population Size. CEC 2022: 1-8 - [c28]Vitor P. Ribeiro
Bayesian Network for Hydrological Model: an inference approach. IJCNN 2022: 1-7 - [c27]Matheus de Souza Sant'Anna Fogliatto, Luiz Desuó Neto
A Multilevel Crews Patrolling Framework for Distribution System Recovering. SysCon 2022: 1-8 - 2021
- [j20]Jordão Natal de Oliveira Júnior, Ivonete Ávila
Entropy: From Thermodynamics to Information Processing. Entropy 23(10): 1340 (2021) - [c26]Talysson Manoel de Oliveira Santos
CO2 Emissions Forecasting in Multi-Source Power Generation Systems Using Dynamic Bayesian Network. SysCon 2021: 1-8 - 2020
- [c25]Victor Hugo Batista Tsukahara, Pedro Virgilio Basilio Jeronymo
Delayed Mutual Information to Develop Functional Analysis on Epileptic Signals. BIOSIGNALS 2020: 89-97 - [c24]Victor Hugo Batista Tsukahara
PDC-MI Method for EEG Functional Conectivity Analysis. BIOSTEC (Selected Papers) 2020: 304-328
2010 – 2019
- 2019
- [j19]Jonas Rossi Dourado, Jordão Natal de Oliveira Júnior, Carlos Dias Maciel
Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation. Algorithms 12(9): 190 (2019) - [j18]Tadeu Junior Gross, Michel Bessani
An analytical threshold for combining Bayesian Networks. Knowl. Based Syst. 175: 36-49 (2019) - [j17]Michel Bessani
Probabilistic Assessment of Power Distribution Systems Resilience Under Extreme Weather. IEEE Syst. J. 13(2): 1747-1756 (2019) - 2018
- [j16]Tadeu Junior Gross, Renata Bezerra Araújo, Francisco Assis Carvalho Vale, Michel Bessani
Dependence between cognitive impairment and metabolic syndrome applied to a Brazilian elderly dataset. Artif. Intell. Medicine 90: 53-60 (2018) - [c23]Michel Bessani
Robustness of reconfigurable complex systems by a multi-agent simulation: Application on power distribution systems. SysCon 2018: 1-6 - [e2]Nathalia Peixoto, Margarida Silveira, Hesham H. Ali, Carlos Dias Maciel, Egon L. van den Broek:
Biomedical Engineering Systems and Technologies - 10th International Joint Conference, BIOSTEC 2017, Porto, Portugal, February 21-23, 2017, Revised Selected Papers. Communications in Computer and Information Science 881, Springer 2018, ISBN 978-3-319-94805-8 [contents] - 2017
- [j15]Fernando P. Santos, Carlos Dias Maciel
Pre-processing and transfer entropy measures in motor neurons controlling limb movements. J. Comput. Neurosci. 43(2): 159-171 (2017) - [c22]Fernando P. Santos, Stephen F. Smagula, Helmet T. Karim
Dynamic Bayesian Network Modeling of Hippocampal Subfields Connectivity with 7T fMRI: A Case Study. BIOSIGNALS 2017: 178-184 - [c21]Giovana Yuko Nakashima, Theresa Helissa Nakagawa, Ana Flávia dos Santos, Fábio Viadanna Serrão, Carlos Dias Maciel
Determination of Directional Influences of Kinematic Data in the Stance Period During Running. BIOSIGNALS 2017: 193-197 - [c20]Michel Bessani
Evaluation of a Dental Caries Clinical Decision Support System. BIOSIGNALS 2017: 198-204 - [c19]Jonas Rossi Dourado, José Roberto B. de A. Monteiro, Daniel Rodrigues de Lima, Michel Bessani, Carlos Dias Maciel:
Parallelism Strategies for Neurophysiological Delayed Transfer Entropy Data Processing - Towards Causal Inference in Big Data. COMPLEXIS 2017: 42-49 - [c18]Daniel Rodrigues de Lima, Giuliano Frascati, Carlos Dias Maciel, Roberto Fernandes Tavares Neto:
Automatic Tuning of a Local Search Algorithm for Estimating Biological Signals JPDs. COMPLEXIS 2017: 50-61 - [c17]Michel Bessani
A hierarchical framework for complex networks robustness analysis to errors. SysCon 2017: 1-8 - [e1]Carlos Dias Maciel, Ana L. N. Fred, Hugo Gamboa, Mário Vaz:
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 4: BIOSIGNALS, Porto, Portugal, February 21-23, 2017. SciTePress 2017, ISBN 978-989-758-212-7 [contents] - 2016
- [c16]Daniel Rodrigues de Lima, Michel Bessani, Philip L. Newland, Carlos Dias Maciel:
Modeling of an Insect Proprioceptor System based on Different Neuron Response Times. BIOSIGNALS 2016: 219-226 - [i1]Michel Bessani, Rodrigo Zempulski Fanucchi, Alexandre C. C. Delbem, Carlos Dias Maciel:
Impact of Operators' Performance on the Reliability of Cyber-Physical Power Distribution Systems. CoRR abs/1603.07775 (2016) - 2015
- [j14]Soledad Espezua
A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing 149: 767-776 (2015) - [j13]Wagner Endo, Fernando P. Santos
Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network. J. Comput. Neurosci. 38(2): 427-438 (2015) - 2014
- [j12]Edwin Villanueva
Efficient methods for learning Bayesian network super-structures. Neurocomputing 123: 3-12 (2014) - [j11]Soledad Espezua
Towards an efficient genetic algorithm optimizer for sequential projection pursuit. Neurocomputing 123: 40-48 (2014) - 2013
- [c15]Jen J. Lee, Jorge Alberto Achcar, Emílio Augusto Coelho Barros, Carlos Dias Maciel:
Bayesian versus Neural Network Analysis of Algae Data Population - A New Method to Predict and Analyse Cause and Effect. IJCCI 2013: 482-488 - 2012
- [j10]Alan P. Pinheiro, David E. Stewart
Analysis of nonlinear dynamics of vocal folds using high-speed video observation and biomechanical modeling. Digit. Signal Process. 22(2): 304-313 (2012) - [c14]Carlos Dias Maciel, David M. Simpson, Philip L. Newland:
Inference about Multiple Pathways in Motor Control Limb in Locust. BIOSIGNALS 2012: 69-75 - [c13]Oliver P. Dewhirst, Natalia Angarita-Jaimes, David M. Simpson, Robert Allen, Carlos Dias Maciel, Philip L. Newland:
Neural Adaptation in Local Reflex Control of Limb Movements. BIOSIGNALS 2012: 398-401 - [c12]Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel:
On the Crossover Operator for GA-based Optimizers in Sequential Projection Pursuit. ICPRAM (1) 2012: 93-102 - [c11]Edwin Villanueva, Carlos Dias Maciel:
Optimized Algorithm for Learning Bayesian Network Super-structures. ICPRAM (1) 2012: 217-222 - 2011
- [c10]Antonio Jose Homsi Goulart
Music Genre Classification Based on Entropy and Fractal Lacunarity. ISM 2011: 533-536 - [c9]Paulo Rogério Scalassara
Voice pathology detection with predictable component analysis and wavelet decomposition model. ITW 2011: 95-99 - 2010
- [j9]Edwin Villanueva
Modeling associations between genetic markers using Bayesian networks. Bioinform. 26(18) (2010) - [j8]Carlos Dias Maciel
Identifying healthy and pathologically affected voice signals [Lecture notes]. IEEE Signal Process. Mag. 27(1): 120-123 (2010)
2000 – 2009
- 2009
- [j7]Paulo Rogério Scalassara
Relative entropy measures applied to healthy and pathological voice characterization. Appl. Math. Comput. 207(1): 95-108 (2009) - [j6]Selma T. Milagre
Fuzzy cluster stability analysis with missing values using resampling. Int. J. Bioinform. Res. Appl. 5(2): 207-223 (2009) - 2008
- [j5]André Augusto Spadotto, João Paulo Papa, Ana Rita Gatto, Paula Cristina Cola
Denoising swallowing sound to improve the evaluator's qualitative analysis. Comput. Electr. Eng. 34(2): 148-153 (2008) - [c8]Paulo Rogério Scalassara, Maria Eugenia Dajer, Carlos Dias Maciel, Jose Carlos Pereira:
Voice Signals Characterization through Entropy Measures. BIOSIGNALS (2) 2008: 163-170 - [c7]Rodrigo Capobianco Guido
Introduction to the Discrete Shapelet Transform and a new paradigm: Joint time-frequency-shape analysis. ISCAS 2008: 2893-2896 - [c6]Paulo César Fantinato, Rodrigo Capobianco Guido
A Fractal-Based Approach for Speech Segmentation. ISM 2008: 551-555 - [c5]Paulo Rogério Scalassara
Analysis of Voice Pathology Evolution Using Entropy Rate. ISM 2008: 580-585 - [c4]Soledad Espezúa Llerena, Carlos Dias Maciel
Exploratory Visualization of RFLP-PCR Genomic Data Using Multidimensional Scaling. SIBGRAPI 2008: 305-312 - 2007
- [j4]Everthon Silva Fonseca, Rodrigo Capobianco Guido
Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders. Comput. Biol. Medicine 37(4): 571-578 (2007) - [j3]Rodrigo Capobianco Guido
A neural-wavelet architecture for voice conversion. Neurocomputing 71(1-3): 174-180 (2007) - [j2]Rodrigo Capobianco Guido, Sylvio Barbon Junior
Spoken Document Summarization Based on Dynamic Time Warping and Wavelets. Int. J. Semantic Comput. 1(3): 347-357 (2007) - [j1]Paulo Rogério Scalassara
Autoregressive decomposition and pole tracking applied to vocal fold nodule signals. Pattern Recognit. Lett. 28(11): 1360-1367 (2007) - [c3]Rafael Eduardo Ruviaro Christ, Edwin Villanueva Talavera, Carlos Dias Maciel
Gaussian Hierarchical Bayesian Clustering Algorithm. ISDA 2007: 133-137 - 2005
- [c2]Paulo Rogério Scalassara
Application of Autoregressive Decomposition and Pole Tracking to Pathological Voice Signals. ISM 2005: 733-738 - [c1]Maria Eugenia Dajer, Jose Carlos Pereira, Carlos Dias Maciel
Nonlinear Dynamical Analysis of Normal Voices. ISM 2005: 765-771
Coauthor Index
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last updated on 2024-10-08 21:32 CEST by the dblp team
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