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A
Ana Carolina Lorena
instituto tecnológico de aeronáutica
31
H-index
233
Paper Count
3.3K
Citation Count
0
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Published Papers
37
Publication Date
Publication Date
Impact Factor
Citations
pycol-vis: A Python package for image complexity assessment
Neurocomputing
IF
6.5
2026-06-02
0
OA
AI
Diogo Apóstolo; Miriam Seoane Santos; Ana Carolina Lorena; Nathalie Japkowicz; Pedro Henriques Abreu
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Filtering Instances and Rejecting Predictions to Obtain Reliable Models in Healthcare
Machine Learning
IF
2.9
2026-01-06
0
PRE
AI
Maria Gabriela Valeriano; David Kohan Marzagão; Alfredo Montelongo; Carlos Roberto Veiga Kiffer; Natan Katz; Ana Carolina Lorena
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Data Complexity and Instance Hardness Measures in Transferability Evaluation
INTELLIGENT SYSTEMS, BRACIS 2025, PT I
IF
0
2026-01-01
0
PRE
AI
Rangel, Derick W. B.; Exposito De Queiroz, Alfredo A. A.; Lorena, Ana C.
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Classification with Reject Option: Building Meta-models to Predict Classification Error
INTELLIGENT SYSTEMS, BRACIS 2025, PT I
IF
0
2026-01-01
0
PRE
AI
Ueda, Patricia S. M.; Valeriano, Maria Gabriela; Mangussi, Arthur D.; Prudencio, Ricardo B. C.; Lorena, Ana C.
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Faster and accurate multi-objective optimization of isogrid structures with artificial intelligence
Mechanics of Advanced Materials and Structures
IF
0
2025-11-16
0
PRE
AI
João Luiz Junho Pereira; Matheus Brendon Francisco; Elionai Levi Barbedo; Ana Carolina Lorena
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Novel applications of item response theory for analysing data set complexity and benchmark selection
Machine Learning
IF
2.9
2025-08-29
0
PRE
AI
João Luiz Junho Pereira; Alfredo Antonio Alencar Exposito de Queiroz; Telmo de Menezes e Silva Filho; Ana Carolina Lorena; Rafael Gomes Mantovani; Gisele Lobo Pappa; Ricardo Bastos Cavalcante Prudêncio
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Studying the robustness of data imputation methodologies against adversarial attacks
Computers & Security
IF
5.4
2025-06-30
0
PRE
AI
Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Ana Carolina Lorena; Miriam Seoane Santos; Pedro Henriques Abreu
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Pycol: A Python package for dataset complexity measures
NEUROCOMPUTING
IF
6.5
2025-05-24
0
OA
AI
Apostolo, Diogo; Santos, Miriam Seoane; Lorena, Ana Carolina; Abreu, Pedro Henriques
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mdatagen: A python library for the artificial generation of missing data
NEUROCOMPUTING
IF
6.5
2025-04-01
0
PRE
AI
Mangussi, Arthur Dantas; Santos, Miriam Seoane; Lopes, Filipe Loyola; Pereira, Ricardo Cardoso; Lorena, Ana Carolina; Abreu, Pedro Henriques
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A Label Propagation Approach for Missing Data Imputation
IEEE ACCESS
IF
3.6
2025-01-01
0
OA
AI
Loyola Lopes, Filipe; Dantas Mangussi, Arthur; Cardoso Pereira, Ricardo; Seoane Santos, Miriam; Henriques Abreu, Pedro; Carolina Lorena, Ana
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Trusting My Predictions: On the Value of Instance-Level Analysis
ACM COMPUTING SURVEYS
IF
28
2024-04-09
0
PRE
AI
Lorena, Ana C.; Paiva, Pedro Y. A.; Prudencio, Ricardo B. C.
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A joint learning approach for genomic prediction in polyploid grasses
SCIENTIFIC REPORTS
IF
3.9
2022-07-21
10
OA
AI
Aono, Alexandre Hild; Ulbricht Ferreira, Rebecca Caroline; Lima Moraes, Aline da Costa; de Castro Lara, Leticia Aparecida; Gonzaga Pimenta, Ricardo Jose; Costa, Estela Araujo; Pinto, Luciana Rossini; de Andrade Landell, Marcos Guimaraes; Santos, Mateus Figueiredo; Jank, Liana; Lima Barrios, Sanzio Carvalho; do Valle, Cacilda Borges; Chiari, Lucimara; Franco Garcia, Antonio Augusto; Kuroshu, Reginaldo Massanobu; Lorena, Ana Carolina; Gorjanc, Gregor; de Souza, Anete Pereira
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Relating instance hardness to classification performance in a dataset: a visual approach
MACHINE LEARNING
IF
2.9
2022-06-22
8
OA
AI
Paiva, Pedro Yuri Arbs; Moreno, Camila Castro; Smith-Miles, Kate; Valeriano, Maria Gabriela; Lorena, Ana Carolina
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Community-based anomaly detection using spectral graph filtering
APPLIED SOFT COMPUTING
IF
6.6
2022-03-01
6
OA
AI
Francisquini, Rodrigo; Lorena, Ana Carolina; Nascimento, Maria C., V
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An Instance Space Analysis of Regression Problems
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
IF
4.8
2021-03-27
20
PRE
AI
Munoz, Mario Andres; Yan, Tao; Leal, Matheus R.; Smith-Miles, Kate; Lorena, Ana Carolina; Pappa, Gisele L.; Rodrigues, Romulo Madureira
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A Multi-Learning Training Approach for Distinguishing Low and High Risk Cancer Patients
IEEE ACCESS
IF
3.6
2021-01-01
1
OA
AI
Povoa, Lucas Venezian; Balan Calvi, Uriel Caire; Lorena, Ana Carolina; Costa Ribeiro, Carlos Henrique; Da Silva, Israel Tojal
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How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity
ACM COMPUTING SURVEYS
IF
28
2019-09-13
140
PRE
AI
Lorena, Ana C.; Garcia, Luis P. F.; Lehmann, Jens; Souto, Marcilio C. P.; Ho, Tin Kam
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New label noise injection methods for the evaluation of noise filters
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2019-01-01
25
PRE
AI
Garcia, Luis P. F.; Lehmann, Jens; de Carvalho, Andre C. P. L. F.; Lorena, Ana C.
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Using complexity measures to determine the structure of directed acyclic graphs in multiclass classification
APPLIED SOFT COMPUTING
IF
6.6
2018-04-01
3
PRE
AI
Quiterio, Thaise M.; Lorena, Ana C.
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Adaptive Biometric Systems Using Ensembles
IEEE INTELLIGENT SYSTEMS
IF
6.1
2018-03-01
10
PRE
AI
Pisani, Paulo Henrique; Lorena, Ana Carolina; de Carvalho, Andre C. P. L. F.
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Research Directions
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Co-authors
Cooperation Journals
F
Francisco Herrera
H-index: 169 · Papers: 1.3K
J
João Ricardo Sato
H-index: 62 · Papers: 439
J
João Gama
H-index: 62 · Papers: 623
A
André C. P. L. F. de Carvalho
H-index: 60 · Papers: 731
I
Ivan G. Costa
H-index: 55 · Papers: 313
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