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ORCIDAgma J. M. Traina
Agma Juci Machado Traina
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- affiliation: University of Sao Paulo, Brazil
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2020 – today
- 2023
[j82]Xinyu Pang, Yong-Feng Ge
, Kate N. Wang, Agma J. M. Traina, Hua Wang:
Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm. Health Inf. Sci. Syst. 11(1): 30 (2023)- [j81]Daniel L. Jasbick, Lúcio F. D. Santos, Paulo M. Azevedo-Marques, Agma J. M. Traina, Daniel de Oliveira, Marcos V. N. Bedo:
Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. Inf. Syst. 114: 102166 (2023) - [j80]Claudio D. G. Linhares, Jean R. Ponciano, Diogenes S. Pedro, Luis E. C. Rocha, Agma J. M. Traina, Jorge Poco:
LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies. IEEE Trans. Vis. Comput. Graph. 29(1): 203-213 (2023) - [j79]Claudio D. G. Linhares, Daniel Mario de Lima, Jean R. Ponciano, Mauro M. Olivatto, Marco A. Gutierrez, Jorge Poco, Caetano Traina, Agma J. M. Traina:
ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. IEEE Trans. Vis. Comput. Graph. 29(10): 4031-4046 (2023) - [c214]Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos:
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. AAAI 2023: 16410-16412 - [c213]Erikson Júlio De Aguiar, Márcus V. L. Costa, Caetano Traina, Agma J. M. Traina:
Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. CBMS 2023: 13-16 - [c212]Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Christos Faloutsos, Agma J. M. Traina:
Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. CBMS 2023: 117-122 - [c211]Márcus V. L. Costa, Erikson Júlio De Aguiar, Lucas Santiago Rodrigues, Jonathan S. Ramos, Caetano Traina, Agma J. M. Traina:
A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. CBMS 2023: 517-522 - [i16]Raphaël Tinarrage, Jean R. Ponciano, Claudio D. G. Linhares, Agma J. M. Traina, Jorge Poco:
TDANetVis: Suggesting temporal resolutions for graph visualization using zigzag persistent homology. CoRR abs/2304.03828 (2023) - 2022
- [j78]Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm:
Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution. Inf. Syst. 105: 101955 (2022) - [j77]Mirela T. Cazzolato, Lucas C. Scabora, Guilherme F. Zabot, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina:
FeatSet+: Visual Features Extracted from Public Image Datasets. J. Inf. Data Manag. 13(1) (2022) - [j76]Mirela T. Cazzolato, Lucas Santiago Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina:
Sketch+ for Visual and Correlation-Based Exploratory Data Analysis: A Case Study with COVID-19 Databases. J. Inf. Data Manag. 13(2) (2022) - [c210]João Victor de Oliveira Novaes, Lucio Fernandes Dutra Santos, Agma Juci Machado Traina, Caetano Traina Jr.:
ORTree: Tuning Diversified Similarity Queries by Means of Data Partitioning. ADBIS 2022: 165-178 - [c209]Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos:
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. IEEE Big Data 2022: 2214-2217 - [c208]Marcos V. N. Bedo, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina, Marcello H. Nogueira-Barbosa, Paulo M. Azevedo-Marques:
Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. CBMS 2022: 72-77 - [c207]Jonathan S. Ramos, Erikson Júlio De Aguiar, Ivar Vargas Belizario, Márcus V. L. Costa, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina:
Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. CBMS 2022: 78-83 - [c206]Lucas Santiago Rodrigues, Thiago Galbiatti Vespa, Igor A. R. Eleutério, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina:
MiDaS: Extract Golden Results from Knowledge Discovery Even over Incomplete Databases. ICCS (4) 2022: 653-667 - [c205]Cézanne Alves, Agma J. M. Traina:
Variational Autoencoders for Medical Image Retrieval. INISTA 2022: 1-6 - [e7]Agma J. M. Traina, Hua Wang, Yong Zhang, Siuly Siuly, Rui Zhou, Lu Chen:
Health Information Science - 11th International Conference, HIS 2022, Virtual Event, October 28-30, 2022, Proceedings. Lecture Notes in Computer Science 13705, Springer 2022, ISBN 978-3-031-20626-9 [contents] - [i15]Claudio D. G. Linhares, Daniel Mario de Lima, Jean R. Ponciano, Mauro M. Olivatto, Marco A. Gutierrez, Jorge Poco, Caetano Traina Jr., Agma J. M. Traina:
ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. CoRR abs/2205.13570 (2022) - [i14]Claudio D. G. Linhares, Jean R. Ponciano, Diogenes S. Pedro, Luis E. C. Rocha, Agma J. M. Traina, Jorge Poco:
LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies. CoRR abs/2208.04358 (2022) - 2021
- [j75]Felipe Taliar Giuntini, Kauê L. de Moraes, Mirela T. Cazzolato, Luziane de Fátima Kirchner, Maria de Jesus Dutra dos Reis, Agma J. M. Traina, Andrew Thomas Campbell, Jó Ueyama:
Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks. IEEE Access 9: 93182-93194 (2021) - [j74]Felipe Taliar Giuntini, Kauê L. de Moraes, Mirela T. Cazzolato, Luziane de Fátima Kirchner, Maria de Jesus Dutra dos Reis, Agma J. M. Traina, Andrew Thomas Campbell, Jó Ueyama:
Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining. IEEE Access 9: 97621-97635 (2021) - [j73]Mirela T. Cazzolato, Jonathan S. Ramos, Lucas Santiago Rodrigues, Lucas C. Scabora, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Paulo Mazzoncini de Azevedo Marques, Caetano Traina Jr., Agma J. M. Traina:
The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Comput. Biol. Medicine 134: 104489 (2021) - [j72]João V. O. Novaes, Lúcio F. D. Santos, Luiz Olmes Carvalho, Daniel de Oliveira, Marcos V. N. Bedo, Agma J. M. Traina, Caetano Traina Jr.:
J-EDA: A workbench for tuning similarity and diversity search parameters in content-based image retrieval. J. Inf. Data Manag. 12(2) (2021) - [c204]Claudio D. G. Linhares, Daniel Mario de Lima, Christian C. Bones, Marina F. S. de Sá Rebelo, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina:
I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs. CBMS 2021: 125-130 - [c203]José Maria Clementino, Bruno S. Faiçal, Christian C. Bones, Caetano Traina, Marco A. Gutierrez, Agma J. M. Traina:
Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records. CBMS 2021: 253-258 - [c202]Jonathan S. Ramos, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina:
BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. CBMS 2021: 389-394 - [c201]Andre Moriyama, Lucas Santiago Rodrigues, Lucas C. Scabora, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina:
VD-tree: how to build an efficient and fit metric access method using voronoi diagrams. SAC 2021: 327-335 - [c200]Lucas C. Scabora, Gabriel Spadon, Mirela T. Cazzolato, Daniel S. Kaster, Agma J. M. Traina, José F. Rodrigues Jr., Caetano Traina Jr.:
SHARq: sharing recursive queries in relational databases. SAC 2021: 336-339 - [c199]Mirela T. Cazzolato, Lucas Santiago Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina:
Similarity Search and Correlation-Based Exploratory Analysis in EHRs: A Case Study with COVID-19 Databases. SBBD 2021: 25-36 - [e6]João Rafael Almeida, Alejandro Rodríguez González, Linlin Shen, Bridget Kane, Agma J. M. Traina, Paolo Soda, José Luís Oliveira:
34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021. IEEE 2021, ISBN 978-1-6654-4121-6 [contents] - 2020
- [j71]Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo:
A superpixel-driven deep learning approach for the analysis of dermatological wounds. Comput. Methods Programs Biomed. 183 (2020) - [j70]Daniel Y. T. Chino, Lucas C. Scabora, Mirela T. Cazzolato, Ana Elisa Serafim Jorge, Caetano Traina Jr., Agma J. M. Traina:
Segmenting skin ulcers and measuring the wound area using deep convolutional networks. Comput. Methods Programs Biomed. 191: 105376 (2020) - [j69]Felipe Taliar Giuntini, Mirela T. Cazzolato, Maria de Jesus Dutra dos Reis, Andrew Thomas Campbell, Agma J. M. Traina, Jó Ueyama:
A review on recognizing depression in social networks: challenges and opportunities. J. Ambient Intell. Humaniz. Comput. 11(11): 4713-4729 (2020) - [c198]Oscar Cuadros Linares, Aurea Soriano-Vargas, Bruno S. Faiçal, Bernd Hamann, Alexandre Todorovic Fabro, Agma J. M. Traina:
Efficient Segmentation of Cell Nuclei in Histopathological Images. CBMS 2020: 47-52 - [c197]José Maria Clementino, Christian C. Bones, Bruno S. Faiçal, Oscar A. C. Linares, Daniel Mario de Lima, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina:
Bag-of-Attributes Representation: A Vector Space Model for Electronic Health Records Analysis in OMOP. CBMS 2020: 197-202 - [c196]Mirela T. Cazzolato, Jonathan S. Ramos, Lucas Santiago Rodrigues, Lucas C. Scabora, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Paulo Mazzoncini de Azevedo Marques, Caetano Traina, Agma J. M. Traina:
Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. CBMS 2020: 356-361 - [c195]Jonathan S. Ramos, Mirela T. Cazzolato, Marcello H. Nogueira-Barbosa, Agma J. M. Traina:
FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. SAC 2020: 198-201 - [c194]Lucas Santiago Rodrigues, Mirela Teixeira Cazzolato, Agma Juci Machado Traina, Caetano Traina:
Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values. SISAP 2020: 168-176
2010 – 2019
- 2019
- [j68]Mirela T. Cazzolato, Lucas C. Scabora, Marcos R. Nesso Jr., Luis Fernando Milano Oliveira, Alceu Ferraz Costa, Daniel S. Kaster, Marcel Koenigkam-Santos, Paulo Mazzoncini de Azevedo Marques, Caetano Traina Jr., Agma J. M. Traina:
dp-BREATH: Heat maps and probabilistic classification assisting the analysis of abnormal lung regions. Comput. Methods Programs Biomed. 173: 27-34 (2019) - [j67]Agma J. M. Traina, Safia Brinis, Glauco Vitor Pedrosa, Letricia P. S. Avalhais, Caetano Traina Jr.:
Querying on large and complex databases by content: Challenges on variety and veracity regarding real applications. Inf. Syst. 86: 10-27 (2019) - [j66]Safia Brinis, Caetano Traina Jr., Agma J. M. Traina:
Hollow-tree: a metric access method for data with missing values. J. Intell. Inf. Syst. 53(3): 481-508 (2019) - [j65]Joe Tekli, Richard Chbeir, Agma J. M. Traina, Caetano Traina Jr.:
SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data. Knowl. Based Syst. 164: 378-403 (2019) - [j64]Paulo H. Oliveira, Lucas C. Scabora, Mirela T. Cazzolato, Willian D. Oliveira, Rafael S. Paixão, Agma J. M. Traina, Caetano Traina:
Employing Domain Indexes to Efficiently Query Medical Data From Multiple Repositories. IEEE J. Biomed. Health Informatics 23(6): 2220-2229 (2019) - [c193]Guilherme F. Zabot, Mirela T. Cazzolato, Lucas C. Scabora, Bruno S. Faiçal, Agma J. M. Traina, Caetano Traina:
UCORM: Indexing Uncorrelated Metric Spaces for Concise Content-Based Retrieval of Medical Images. CBMS 2019: 306-311 - [c192]Wellington S. Silva, Daniel L. Jasbick, Rodrigo Erthal Wilson, Paulo M. Azevedo-Marques, Agma J. M. Traina, Lúcio F. D. Santos, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo:
A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds. CBMS 2019: 343-348 - [c191]Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina:
3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging. CBMS 2019: 435-440 - [c190]Oscar Cuadros Linares, Bruno S. Faiçal, Paulo Barbosa, Bernd Hamann, Alexandre Todorovic Fabro, Agma J. M. Traina:
How to Automatically Identify Regions of Interest in High-Resolution Images of Lung Biopsy for Interstitial Fibrosis Diagnosis. CBMS 2019: 571-574 - [c189]Guilherme F. Zabot, Mirela T. Cazzolato, Lucas C. Scabora, Agma J. M. Traina, Caetano Traina:
Efficient Indexing of Multiple Metric Spaces with Spectra. ISM 2019: 169-176 - [c188]Daniel Mario de Lima, José F. Rodrigues Jr., Agma J. M. Traina, Fabio A. Pires, Marco A. Gutierrez:
Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research. MedInfo 2019: 233-237 - [c187]Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Marcello H. Nogueira-Barbosa, Agma J. M. Traina:
BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. SAC 2019: 220-227 - [c186]Caetano Traina Jr., Andre Moriyama, Guilherme Muzzi da Rocha, Robson L. F. Cordeiro, Cristina Dutra de Aguiar Ciferri, Agma J. M. Traina:
The SimilarQL framework: similarity queries in plain SQL. SAC 2019: 468-471 - [c185]Mirela T. Cazzolato, Lucas Santiago Rodrigues, Lucas C. Scabora, Guilherme F. Zabot, Guilherme Q. Vasconcelos, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Robson L. F. Cordeiro, Caetano Traina Jr., Agma J. M. Traina:
A DBMS-Based Framework for Content-Based Retrieval and Analysis of Skin Ulcer Images in Medical Practice. SBBD 2019: 109-120 - [c184]Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Oscar A. C. Linares, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina:
Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg. SIBGRAPI 2019: 76-83 - [i13]Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Marcello H. Nogueira-Barbosa, Agma J. M. Traina:
BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. CoRR abs/1906.08620 (2019) - [i12]Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma J. M. Traina:
3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. CoRR abs/1906.10288 (2019) - [i11]Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo:
A superpixel-driven deep learning approach for the analysis of dermatological wounds. CoRR abs/1909.06264 (2019) - 2018
- [j63]Marcos V. N. Bedo, Daniel S. Kaster, Agma J. M. Traina, Caetano Traina Jr.:
The Merkurion approach for similarity searching optimization in Database Management Systems. Data Knowl. Eng. 113: 18-42 (2018) - [j62]Joe Tekli, Richard Chbeir, Agma J. M. Traina, Caetano Traina, Kokou Yétongnon, Carlos Raymundo Ibañez, Marc Al Assad, Christian Kallas:
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS. Data Knowl. Eng. 117: 133-173 (2018) - [j61]Lucas C. Scabora, Paulo H. Oliveira, Gabriel Spadon, Daniel S. Kaster, José F. Rodrigues Jr., Agma J. M. Traina, Caetano Traina Junior:
Cutting-edge Relational Graph Data Management with Edge-k: From One to Multiple Edges in the Same Row. J. Inf. Data Manag. 9(1): 20-35 (2018) - [j60]Marcos Vinicius Naves Bedo, Daniel de Oliveira, Agma J. M. Traina, Caetano Traina Jr.:
Beyond Hit-or-Miss: A Comparative Study of Synopses for Similarity Searching. J. Inf. Data Manag. 9(1): 36-51 (2018) - [j59]Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Caetano Traina, Agma J. M. Traina:
How to speed up outliers removal in image matching. Pattern Recognit. Lett. 114: 31-40 (2018) - [c183]Marcos Roberto Nesso Junior, Mirela T. Cazzolato, Lucas C. Scabora, Paulo H. Oliveira, Gabriel Spadon, Jéssica Andressa de Souza, Willian D. Oliveira, Daniel Y. T. Chino, José F. Rodrigues Jr., Agma J. M. Traina, Caetano Traina:
RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation. CBMS 2018: 71-76 - [c182]Daniel Yoshinobu Takada Chino, Lucas de Carvalho Scabora, Mirela Teixeira Cazzolato, Ana Elisa Serafim Jorge, Caetano Traina, Agma Juci Machado Traina:
ICARUS: Retrieving Skin Ulcer Images through Bag-of-Signatures. CBMS 2018: 82-87 - [c181]Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm:
Efficient and Reliable Estimation of Cell Positions. CIKM 2018: 1043-1052 - [c180]Lúcio F. D. Santos, Gustavo Blanco, Daniel de Oliveira, Agma J. M. Traina, Caetano Traina Jr., Marcos V. N. Bedo:
Exploring Diversified Similarity with Kundaha. CIKM 2018: 1903-1906 - [c179]Joe Tekli, Richard Chbeir, Agma J. M. Traina, Caetano Traina, Kokou Yétongnon, Carlos Raymundo Ibañez, Christian Kallas:
Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms. ICCC 2018: 33-40 - [c178]Daniel Y. T. Chino, Lucas C. Scabora, Caetano Traina Jr., Agma J. M. Traina:
BoSS: image retrieval using bag-of-superpixels signatures. SAC 2018: 309-312 - [c177]Jéssica Andressa de Souza, Agma J. M. Traina, Sebastian Michel:
Class-constraint similarity queries. SAC 2018: 549-556 - 2017
- [j58]Glauco Vitor Pedrosa, Agma J. M. Traina, Célia A. Zorzo Barcelos:
Retrieving 2D shapes by similarity based on bag of salience points. Multim. Tools Appl. 76(20): 20957-20971 (2017) - [j57]Alceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos:
Modeling Temporal Activity to Detect Anomalous Behavior in Social Media. ACM Trans. Knowl. Discov. Data 11(4): 49:1-49:23 (2017) - [c176]Mirela Teixeira Cazzolato, Lucas de Carvalho Scabora, Alceu Ferraz Costa, Marcos Roberto Nesso Junior, Luis Fernando Milano Oliveira, Daniel dos Santos Kaster, Caetano Traina Junior, Agma Juci Machado Traina:
BREATH: Heat Maps Assisting the Detection of Abnormal Lung Regions in CT Scans. CBMS 2017: 248-253 - [c175]Paulo H. Oliveira, Lucas C. Scabora, Mirela T. Cazzolato, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina Jr.:
Efficiently Indexing Multiple Repositories of Medical Image Databases. CBMS 2017: 286-291 - [c174]Marcos V. N. Bedo, Agma J. M. Traina, Caetano Traina Jr.:
A Spline-based Cost Model for Metric Trees. SBBD 2017: 28-39 - [c173]Lucas C. Scabora, Paulo H. Oliveira, Daniel S. Kaster, Agma J. M. Traina, Caetano Traina Jr.:
Relational graph data management on the edge: Grouping vertices' neighborhood with Edge-k. SBBD 2017: 124-135 - [c172]Daniel Y. T. Chino, Alceu Ferraz Costa, Agma J. M. Traina, Christos Faloutsos:
VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume. SDM 2017: 108-116 - [c171]Natan A. Laverde, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina Jr.:
Semantic Similarity Group By Operators for Metric Data. SISAP 2017: 247-261 - 2016
- [j56]Flavio Barbosa, Agma J. M. Traina, Valdair Muglia:
Meta-generalis: A novel method for structuring information from radiology reports. Appl. Clin. Inform. 07(03): 803-816 (2016) - [j55]Agma Juci Machado Traina, Caetano Traina Junior:
Preface. Inf. Syst. 59: 1 (2016) - [j54]Yannis Manolopoulos, Richard Chbeir, Agma Juci Machado Traina, Youakim Badr, Frédéric Andrès:
Preface. J. Innov. Digit. Ecosyst. 3(2): 45-47 (2016) - [c170]Glauco Vitor Pedrosa, Agma J. M. Traina:
Encoding Visual Attention Features for Effective Biomedical Images Retrieval. CBMS 2016: 235-240 - [c169]Alceu Ferraz Costa, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos:
Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites. ICDM 2016: 91-100 - [c168]Luiz Olmes Carvalho, Lúcio F. D. Santos, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina Jr.:
Efficient Self-similarity Range Wide-joins Fostering Near-duplicate Image Detection in Emergency Scenarios. ICEIS (1) 2016: 81-91 - [c167]Luiz Olmes Carvalho, Lucio Fernandes Dutra Santos, Agma Juci Machado Traina, Caetano Traina Jr.:
Pivot-Based Similarity Wide-Joins Fostering Near-Duplicate Detection. ICEIS (Revised Selected Papers) 2016: 81-104 - [c166]Paulo H. Oliveira, Antonio C. Fraideinberze, Natan A. Laverde, Hugo Gualdron, André S. Gonzaga, Lucas D. Ferreira, Willian D. Oliveira, José F. Rodrigues Jr., Robson L. F. Cordeiro, Caetano Traina Jr., Agma J. M. Traina, Elaine P. M. de Sousa:
On the Support of a Similarity-enabled Relational Database Management System in Civilian Crisis Situations. ICEIS (1) 2016: 119-126 - [c165]Letricia P. S. Avalhais, José F. Rodrigues Jr., Agma J. M. Traina:
Fire Detection on Unconstrained Videos Using Color-Aware Spatial Modeling and Motion Flow. ICTAI 2016: 913-920 - [c164]Gustavo Blanco, Marcos Vinicius Naves Bedo, Mirela T. Cazzolato, Lúcio F. D. Santos, Ana Elisa Serafim Jorge, Caetano Traina Jr., Paulo M. Azevedo-Marques, Agma J. M. Traina:
A Label-Scaled Similarity Measure for Content-Based Image Retrieval. ISM 2016: 20-25 - [c163]Lúcio F. D. Santos, Luiz Olmes Carvalho, Marcos Vinicius Naves Bedo, Agma J. M. Traina, Caetano Traina Jr.:
When Similarity is Not Enough, Ask for Diversity: Grouping Elements Based on Influence. ISM 2016: 26-29 - [c162]Mirela T. Cazzolato, Marcos Vinicius Naves Bedo, Alceu Ferraz Costa, Jéssica Andressa de Souza, Caetano Traina Jr., José Fernando Rodrigues Jr., Agma J. M. Traina:
Unveiling smoke in social images with the SmokeBlock approach. SAC 2016: 49-54 - [c161]Jéssica Andressa de Souza, Mirela T. Cazzolato, Agma J. M. Traina:
ClusMAM: fast and effective unsupervised clustering of large complex datasets using metric access methods. SAC 2016: 986-991 - [c160]Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Agma J. M. Traina:
FOMP: A Novel Preprocessing Technique to Speed-Up the Outlier Removal from Matched Points. SIBGRAPI 2016: 225-232 - 2015
- [j53]Ives Rene Venturini Pola, Robson L. F. Cordeiro, Caetano Traina Jr., Agma J. M. Traina:
Similarity sets: A new concept of sets to seamlessly handle similarity in database management systems. Inf. Syst. 52: 130-148 (2015) - [j52]Joe Tekli, Richard Chbeir, Agma J. M. Traina, Caetano Traina Jr., Renato Fileto:
Approximate XML structure validation based on document-grammar tree similarity. Inf. Sci. 295: 258-302 (2015) - [c159]Paulo Duarte Barbieri, Glauco Vitor Pedrosa, Agma Juci Machado Traina, Marcello Henrique Nogueira-Barbosa:
Vertebral Body Segmentation of Spine MR Images Using Superpixels. CBMS 2015: 44-49 - [c158]Marcos Vinicius Naves Bedo, Lucio Fernandes Dutra Santos, Willian Dener de Oliveira, Gustavo Blanco, Agma Juci Machado Traina, Marco Antonio Frade, Paulo Mazzoncini de Azevedo Marques, Caetano Traina Jr.:
Color and Texture Influence on Computer-Aided Diagnosis of Dermatological Ulcers. CBMS 2015: 109-114 - [c157]Rodrigo Fernandes Barroso, Marcelo Ponciano-Silva, Agma Juci Machado Traina, Renato Bueno:
Speeding up the combination of multiple descriptors for different boundary conditions. CLEI 2015: 1-11 - [c156]Marcos Vinicius Naves Bedo, Willian Dener de Oliveira, Mirela Teixeira Cazzolato, Alceu Ferraz Costa, Gustavo Blanco, José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.:
Fire Detection from Social Media Images by Means of Instance-Based Learning. ICEIS (Revised Selected Papers) 2015: 23-44 - [c155]Marcos Vinicius Naves Bedo, Gustavo Blanco, Willian D. Oliveira, Mirela T. Cazzolato, Alceu Ferraz Costa, José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.:
Techniques for Effective and Efficient Fire Detection from Social Media Images. ICEIS (1) 2015: 34-45 - [c154]Luiz Olmes Carvalho, Lúcio F. D. Santos, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina Jr.:
Self Similarity Wide-Joins for Near-Duplicate Image Detection. ISM 2015: 237-240 - [c153]Lúcio F. D. Santos, Rafael L. Dias, Marcela X. Ribeiro, Agma J. M. Traina, Caetano Traina Jr.:
Combining Diversity Queries and Visual Mining to Improve Content-Based Image Retrieval Systems: The DiVI Method. ISM 2015: 357-362 - [c152]Alceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos:
RSC: Mining and Modeling Temporal Activity in Social Media. KDD 2015: 269-278 - [c151]Glauco Vitor Pedrosa, Agma J. M. Traina, Célia A. Zorzo Barcelos:
Shape description based on bag of salience points. SAC 2015: 74-79 - [c150]Glauco Vitor Pedrosa, Agma J. M. Traina:
Compact and discriminative approach for encoding spatial-relationship of visual words. SAC 2015: 92-95 - [c149]Lúcio F. D. Santos, Willian D. Oliveira, Luiz Olmes Carvalho, Mônica Ribeiro Porto Ferreira, Agma J. M. Traina, Caetano Traina Jr.:
Combine-and-conquer: improving the diversity in similarity search through influence sampling. SAC 2015: 994-999 - [c148]Sérgio Francisco da Silva, Marcos Aurélio Batista, Agma J. M. Traina:
Mineração de regras de associação temporais quantitativas por meio de algoritmo genético [Quantitative temporal association rule mining by genetic algorithm]. SBSI 2015: 195-202 - [c147]Daniel Y. T. Chino, Letricia P. S. Avalhais, José F. Rodrigues Jr., Agma J. M. Traina:
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis. SIBGRAPI 2015: 95-102 - [c146]Luiz Olmes Carvalho, Lúcio F. D. Santos, Willian D. Oliveira, Agma Juci Machado Traina, Caetano Traina Jr.:
Similarity Joins and Beyond: An Extended Set of Binary Operators with Order. SISAP 2015: 29-41 - [c145]Lúcio F. D. Santos, Luiz Olmes Carvalho, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina Jr.:
Diversity in Similarity Joins. SISAP 2015: 42-53 - [c144]Ives Rene Venturini Pola, Agma J. M. Traina, Caetano Traina Jr., Daniel dos Santos Kaster:
Improving Metric Access Methods with Bucket Files. SISAP 2015: 65-76 - [c143]Marcos Vinicius Naves Bedo, Daniel dos Santos Kaster, Agma J. M. Traina, Caetano Traina Jr.:
Compact distance histogram: a novel structure to boost k-nearest neighbor queries. SSDBM 2015: 36:1-36:6 - [e5]