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Nievola, Julio Cesar
38  Ergebnisse:
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1

Adaptive learning on hierarchical data streams using window..:

Tieppo, Eduardo ; Nievola, Júlio Cesar ; Barddal, Jean Paul
Applied Soft Computing.  152 (2024)  - p. 111271 , 2024
Link: https://doi.org/10.1016/..
 
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2

Biclustering-based multi-label classification:

Schmitke, Luiz Rafael ; Paraiso, Emerson Cabrera ; Nievola, Julio Cesar
Knowledge and Information Systems.  66 (2024)  8 - p. 4861-4898 , 2024
Link: https://doi.org/10.1007/..
 
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3

Prediction of the occurrence of leprosy reactions based on ..:

de Andrade Rodrigues, Rafael Saraiva ; Heise, Eduardo Ferreira José ; Hartmann, Luis Felipe...
Frontiers in Medicine.  10 (2023)  - p. , 2023
Link: https://doi.org/10.3389/..
 
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4

Classifying Hierarchical Data Streams using Global Classifi..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Tieppo, Eduardo ; Barddal, Jean Paul ; Nievola, Julio Cesar - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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5

Improving Data Stream Classification using Incremental Yeo-..:

, In: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC),
Tieppo, Eduardo ; Barddal, Jean Paul ; Nievola, Julio Cesar - p. 3286-3292 , 2022
Link: https://doi.org/10.1109/..
 
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6

Automatic disease vector mosquitoes identification via hier..:

, In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing,
Tieppo, Eduardo ; Barddal, Jean Paul ; Nievola, Júlio Cesar - p. 1005-1012 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Hierarchical classification of data streams: a systematic l..:

Tieppo, Eduardo ; Santos, Roger Robson dos ; Barddal, Jean Paul.
Artificial Intelligence Review.  55 (2021)  4 - p. 3243-3282 , 2021
Link: https://doi.org/10.1007/..
 
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8

Classifying Potentially Unbounded Hierarchical Data Streams..:

, In: Intelligent Systems; Lecture Notes in Computer Science,
Tieppo, Eduardo ; Barddal, Jean Paul ; Nievola, Júlio Cesar - p. 421-436 , 2021
Link: https://doi.org/10.1007/..
 
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9

BNPA: An R package to learn path analysis input models from..:

Carvalho, Elias Cesar Araujo de ; Vissoci, Joao Ricardo Nickenig ; Andrade, Luciano de...
Knowledge-Based Systems.  223 (2021)  - p. 107042 , 2021
Link: https://doi.org/10.1016/..
 
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10

Diagnosis of Headaches Types Using Artificial Neural Networ..:

Trojan Fenerich, Amanda ; Arns Steiner, Maria Teresinha ; Nievola, Julio Cesar...
IEEE Latin America Transactions.  18 (2020)  1 - p. 59-66 , 2020
Link: https://doi.org/10.1109/..
 
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11

Local Hierarchical Classification Techniques Analysis Using..:

, In: 2019 International Conference on Computational Science and Computational Intelligence (CSCI),
Pereira, Leonardo Henrique ; Silla Junior, Carlos Nascimento ; Nievola, Julio Cesar - p. 1476-1481 , 2019
Link: https://doi.org/10.1109/..
 
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12

Identifying Influences of Game Upgrades on Profitable Playe..:

, In: Entertainment Computing and Serious Games; Lecture Notes in Computer Science,
Martins Kummer, Luiz Bernardo ; Iida, Hiroyuki ; Nievola, Julio Cesar. - p. 299-310 , 2019
Link: https://doi.org/10.1007/..
 
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13

Evaluation of the Relevance of Linear and Nonlinear Posturo..:

, In: 2014 IEEE International Conference on Data Mining Workshop,
Giovanini Marrega, Luiz Henrique ; Nievola, Julio Cesar - p. 111-118 , 2014
Link: https://doi.org/10.1109/..
 
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14

An evaluation of global-model hierarchical classification a..:

Borges, Helyane Bronoski ; Silla Jr., Carlos N. ; Nievola, Júlio Cesar
Computers & Mathematics with Applications.  66 (2013)  10 - p. 1991-2002 , 2013
Link: https://doi.org/10.1016/..
 
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15

Comparing the dimensionality reduction methods in gene expr..:

Borges, Helyane Bronoski ; Nievola, Júlio Cesar
Expert Systems with Applications.  39 (2012)  12 - p. 10780-10795 , 2012
Link: https://doi.org/10.1016/..
 
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