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Carlos Eduardo Pedreira
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- affiliation: Universidade Federal do Rio de Janeiro, Brazil
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2020 – today
- 2024
- [j27]Vinícius G. Costa
, Jorge Pérez-Aracil
Evolving interpretable decision trees for reinforcement learning. Artif. Intell. 327: 104057 (2024) - [j26]Vinícius G. Costa
Efficient evolution of decision trees via fully matrix-based fitness evaluation. Appl. Soft Comput. 150: 111045 (2024) - [j25]Domenico Sgariglia, Flavia Raquel Gonçalves Carneiro, Luís Alfredo Vidal de Carvalho, Carlos Eduardo Pedreira, Nicolas Carels, Fabrício Alves Barbosa da Silva
Optimizing therapeutic targets for breast cancer using boolean network models. Comput. Biol. Chem. 109: 108022 (2024) - 2023
- [j24]Vinícius G. Costa
Recent advances in decision trees: an updated survey. Artif. Intell. Rev. 56(5): 4765-4800 (2023) - [j23]Gabriel Matos Cardoso Leite
Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method. Knowl. Based Syst. 280: 111027 (2023) - 2022
- [j22]Carolina Gil Marcelino
Missing Data Analysis in Regression. Appl. Artif. Intell. 36(1) (2022) - [j21]Carolina Gil Marcelino
Feature space partition: a local-global approach for classification. Neural Comput. Appl. 34(24): 21877-21890 (2022) - 2021
- [j20]Domenico Sgariglia, Alessandra Jordano Conforte, Carlos Eduardo Pedreira, Luís Alfredo Vidal de Carvalho, Flavia Raquel Gonçalves Carneiro, Nicolas Carels
Data-Driven Modeling of Breast Cancer Tumors Using Boolean Networks. Frontiers Big Data 4: 656395 (2021) - [j19]Laura Oliveira Moraes
Clustering Introductory Computer Science Exercises Using Topic Modeling Methods. IEEE Trans. Learn. Technol. 14(1): 42-54 (2021) - [c11]Gabriel M. C. Leite
Pattern Classification Applying Neighbourhood Component Analysis and Swarm Evolutionary Algorithms: A Coupled Methodology. CEC 2021: 319-326 - [i1]Laura Oliveira Moraes, Carlos Eduardo Pedreira:
Clustering Introductory Computer Science Exercises Using Topic Modeling Methods. CoRR abs/2104.10748 (2021) - 2020
- [c10]Laura Oliveira Moraes, Carlos Eduardo Pedreira:
Designing an Intelligent Tutoring System Across Multiple Classes. CSEDM@EDM 2020
2010 – 2019
- 2019
- [j18]Laura Oliveira Moraes
A decision-tree approach for the differential diagnosis of chronic lymphoid leukemias and peripheral B-cell lymphomas. Comput. Methods Programs Biomed. 178: 85-90 (2019) - [j17]Hugo C. C. Carneiro
The Exact VC Dimension of the WiSARD n-Tuple Classifier. Neural Comput. 31(1) (2019) - [j16]Carlos E. Mello
Time series classification via divergence measures between probability density functions. Pattern Recognit. Lett. 125: 42-48 (2019) - [c9]Carolina Gil Marcelino
A Viability Study of Renewables and Energy Storage Systems Using Multicriteria Decision Making and an Evolutionary Approach. EMO 2019: 655-668 - [c8]Carolina Gil Marcelino
CE+EPSO: a merged approach to solve SCOPF problem. GECCO (Companion) 2019: 69-70 - 2018
- [c7]Carolina Gil Marcelino
Applying C-DEEPSO to Solve Large Scale Global Optimization Problems. CEC 2018: 1-6 - 2017
- [j15]Hugo C. C. Carneiro
A universal multilingual weightless neural network tagger via quantitative linguistics. Neural Networks 91: 85-101 (2017) - 2016
- [j14]Douglas de O. Cardoso
Financial credit analysis via a clustering weightless neural classifier. Neurocomputing 183: 70-78 (2016) - 2014
- [c6]Douglas de O. Cardoso, Danilo S. Carvalho, Daniel S. F. Alves, Diego Fonseca Pereira de Souza, Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Priscila M. V. Lima, Felipe M. G. França:
Credit analysis with a clustering RAM-based neural classifier. ESANN 2014 - 2013
- [j13]Rodrigo T. Peres, Claus Aranha, Carlos Eduardo Pedreira
Optimized bi-dimensional data projection for clustering visualization. Inf. Sci. 232: 104-115 (2013) - 2010
- [j12]Wagner Coelho A. Pereira, André V. Alvarenga, Antonio Fernando C. Infantosi, Leonardo Macrini, Carlos Eduardo Pedreira
A non-linear morphometric feature selection approach for breast tumor contour from ultrasonic images. Comput. Biol. Medicine 40(11-12): 912-918 (2010) - [j11]Rodrigo T. Peres, Carlos Eduardo Pedreira
A new local-global approach for classification. Neural Networks 23(7): 887-891 (2010)
2000 – 2009
- 2009
- [j10]Rodrigo T. Peres, Carlos Eduardo Pedreira
Generalized Risk Zone: Selecting Observations for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1331-1337 (2009) - [j9]Carlos Eduardo Pedreira
New Decision Support Tool for Treatment Intensity Choice in Childhood Acute Lymphoblastic Leukemia. IEEE Trans. Inf. Technol. Biomed. 13(3): 284-290 (2009) - 2008
- [j8]Carlos Eduardo Pedreira
A Multidimensional Classification Approach for the Automated Analysis of Flow Cytometry Data. IEEE Trans. Biomed. Eng. 55(3): 1155-1162 (2008) - 2006
- [j7]Carlos Eduardo Pedreira
Learning Vector Quantization with Training Data Selection. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 157-162 (2006) - [c5]Rodrigo T. Peres, Carlos Eduardo Pedreira:
Preliminary Results on Noise Detection and Data Selection for Vector Quantization. IJCNN 2006: 3617-3621 - 2003
- [c4]Mayte Suárez-Fariñas, Carlos Eduardo Pedreira:
Mixture of Experts and Local-Global Neural Networks. ESANN 2003: 331-336 - 2001
- [j6]Nitzi M. Roehl, Carlos Eduardo Pedreira
An Online Learning Approach: A Methodology for Time Varying Applications. Neural Comput. Appl. 10(2): 101-107 (2001) - [j5]Marcelo C. Medeiros
Modeling exchange rates: smooth transitions, neural networks, and linear models. IEEE Trans. Neural Networks 12(4): 755-764 (2001) - 2000
- [j4]Francisco M. de Assis
An Architecture for Computing Zech's Logarithms in GF(2m). IEEE Trans. Computers 49(5): 519-525 (2000) - [c3]Henrique S. Hippert, Carlos Eduardo Pedreira, Reinaldo Castro Souza:
Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast. IJCNN (4) 2000: 414-419
1990 – 1999
- 1999
- [j3]Luis Carlos C. Pedroza, Carlos Eduardo Pedreira:
Multilayer Neural Networks and Function Reconstruction by Using a priori Knowledge. Int. J. Neural Syst. 9(3): 251-256 (1999) - 1995
- [c2]Nitzi M. Roehl, Carlos Eduardo Pedreira, H. R. Teles De Azevedo:
Fuzzy ART neural network approach for incipient fault detection and isolation in rotating machines. ICNN 1995: 538-542 - [c1]Carlos Eduardo Pedreira, Eduardo Parente Ribeiro:
Neural Networks with Missing Values Attributes. ICNN 1995: 3021-3023 - 1991
- [j2]Carlos Eduardo Pedreira
Optimal schedule for cancer chemotherapy. Math. Program. 52: 11-17 (1991)
1980 – 1989
- 1984
- [j1]Carlos S. Kubrusly, Carlos Eduardo Pedreira:
Identification of multiplicative parameters in stochastic bilinear systems. IEEE Trans. Syst. Man Cybern. 14(2): 315-318 (1984)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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