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Prudencio, Ricardo B.C.
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1

Trusting My Predictions: On the Value of Instance-Level Ana..:

Lorena, Ana C. ; Paiva, Pedro Y. A. ; Prudêncio, Ricardo B. C.
ACM Computing Surveys.  56 (2024)  7 - p. 1-28 , 2024
Link: https://doi.org/10.1145/..
 
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2

Evaluating regression algorithms at the instance level usin..:

Moraes, João V.C. ; Reinaldo, Jéssica T.S. ; Ferreira-Junior, Manuel..
Knowledge-Based Systems.  240 (2022)  - p. 108076 , 2022
Link: https://doi.org/10.1016/..
 
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3

Explanation-by-Example Based on Item Response Theory:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Cardoso, Lucas F. F. ; de S. Ribeiro, José ; Santos, Vitor Cirilo Araujo... - p. 283-297 , 2022
Link: https://doi.org/10.1007/..
 
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4

A Clustering-Based Method to Anomaly Detection in Thermal P..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Drapal, Patricia ; Clemente, Jullya ; Maite Reyes, Dailys... - p. 1-7 , 2022
Link: https://doi.org/10.1109/..
 
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5

Predicting Compatibility of Cultivars in Grafting Processes..:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Silva, Thiago B. R. ; Verslype, Nina I. ; Nascimento, André C. A.. - p. 611-625 , 2022
Link: https://doi.org/10.1007/..
 
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6

Explaining Learning Performance with Local Performance Regi..:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Prudêncio, Ricardo B. C. ; Silva Filho, Telmo M. - p. 550-564 , 2022
Link: https://doi.org/10.1007/..
 
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7

A two-level Item Response Theory model to evaluate speech s..:

Oliveira, Chaina S. ; Moraes, João V.C. ; Filho, Telmo Silva.
Speech Communication.  137 (2022)  - p. 19-34 , 2022
Link: https://doi.org/10.1016/..
 
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8

ImageDataset2Vec: An image dataset embedding for algorithm ..:

Dias, Lucas V. ; Miranda, Péricles B.C. ; Nascimento, André C.A....
Expert Systems with Applications.  180 (2021)  - p. 115053 , 2021
Link: https://doi.org/10.1016/..
 
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9

A Many-Objective optimization Approach for Complexity-based..:

, In: 2020 IEEE Congress on Evolutionary Computation (CEC),
Fraca, Thiago R. ; Miranda, Pericles B.C. ; Prudencio, Ricardo B.C... - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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10

Decoding Machine Learning Benchmarks:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Cardoso, Lucas F. F. ; Santos, Vitor C. A. ; Francês, Regiane S. Kawasaki.. - p. 412-425 , 2020
Link: https://doi.org/10.1007/..
 
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11

Measuring Instance Hardness Using Data Complexity Measures:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Arruda, José L. M. ; Prudêncio, Ricardo B. C. ; Lorena, Ana C. - p. 483-497 , 2020
Link: https://doi.org/10.1007/..
 
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12

One-Class Classification for Selecting Synthetic Datasets i..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Parente, Regina R. ; Prudencio, Ricardo B. C. - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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13

Cost Sensitive Evaluation of Instance Hardness in Machine L..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Prudêncio, Ricardo B. C. - p. 86-102 , 2020
Link: https://doi.org/10.1007/..
 
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14

Item Response Theory for Evaluating Regression Algorithms:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Moraes, Joao V. C. ; Reinaldo, Jessica T. S. ; Prudencio, Ricardo B. C.. - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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15

Item response theory in AI: Analysing machine learning clas..:

Martínez-Plumed, Fernando ; Prudêncio, Ricardo B.C. ; Martínez-Usó, Adolfo.
Artificial Intelligence.  271 (2019)  - p. 18-42 , 2019
Link: https://doi.org/10.1016/..
 
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