Agma J. M. Traina

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 87

Top Venues

Publications

Erikson Júlio De Aguiar, Caetano Traina, Agma J. M. Traina
RADAR-MIX: How to Uncover Adversarial Attacks in Medical Image Analysis through Explainability. CBMS (2024)
Larissa Roberta Teixeira, Igor A. R. Eleutério, Mirela T. Cazzolato, Marco A. Gutierrez, Agma J. M. Traina, Caetano Traina Jr.
KluSIM: Speeding up K-Medoids Clustering over Dimensional Data with Metric Access Method. ICEIS (1) (2024)
Jean R. Ponciano, Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina
A symptom-based community-weighted similarity approach for inpatient health condition monitoring. CBMS (2024)
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)
Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. CIKM (2023)
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) (2023)
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)
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)
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) (2023)
Endi D. C. Silva, Agma J. M. Traina
BoCS: Image Retrieval Using Explicable Methods. SIBGRAPI (2023)
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 (2023)
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)
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 (2023)
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) (2023)
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)
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)
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)
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. Big Data (2022)
Cézanne Alves, Agma J. M. Traina
Variational Autoencoders for Medical Image Retrieval. INISTA (2022)
Claudio D. G. Linhares, Daniel M. 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 (2022)
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 (2022)
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)
Erikson Júlio De Aguiar, Karem D. Marcomini, Felipe A. Quirino, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. Medical Imaging: Computer-Aided Diagnosis (2022)
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 (2022)
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)
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 (2021)
Andre Moriyama, Lucas S. 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)
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)
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)
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)
Mirela T. Cazzolato, Jonathan S. Ramos, Lucas S. 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 (2021)
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)
Mirela T. Cazzolato, Lucas S. 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)
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)
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 (2021)
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) (2020)
Mirela T. Cazzolato, Jonathan S. Ramos, Lucas S. 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)
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)
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)
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 (2020)
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)
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)
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 (2019)
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 (2019)
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)
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)
Joe Tekli, Richard Chbeir, Agma J. M. Traina, Caetano Traina Jr.
: A semantic indexing scheme for structured, unstructured, and partly structured data. Knowl. Based Syst. 164 (2019)
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)
Mirela T. Cazzolato, Lucas S. 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)
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 (2019)
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)
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)
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)
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 (2019)
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
-BREATH: Heat maps and probabilistic classification assisting the analysis of abnormal lung regions. Comput. Methods Programs Biomed. 173 (2019)
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) (2019)
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)
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) (2019)
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)
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)
Jéssica Andressa de Souza, Agma J. M. Traina, Sebastian Michel
Class-constraint similarity queries. SAC (2018)
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) (2018)
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 (2018)
Daniel Y. T. Chino, Lucas C. Scabora, Caetano Traina Jr., Agma J. M. Traina
BoSS: image retrieval using bag-of-superpixels signatures. SAC (2018)
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 (2018)
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) (2018)
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 (2018)
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)
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)
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)
Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm
Efficient and Reliable Estimation of Cell Positions. CIKM (2018)
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)
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) (2017)
Daniel Y. T. Chino, Alceu Ferraz Costa, Agma J. M. Traina, Christos Faloutsos
VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume. SDM (2017)
Marcos V. N. Bedo, Agma J. M. Traina, Caetano Traina Jr.
A Spline-based Cost Model for Metric Trees. SBBD (2017)
Natan A. Laverde, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina Jr.
Semantic Similarity Group By Operators for Metric Data. SISAP (2017)
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)
Flavio Barbosa, Agma J. M. Traina, Valdair Muglia
Meta-generalis: A novel method for structuring information from radiology reports. Appl. Clin. Inform. 7 (03) (2016)
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)
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)
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)
Glauco Vitor Pedrosa, Agma J. M. Traina
Encoding Visual Attention Features for Effective Biomedical Images Retrieval. CBMS (2016)
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)
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)
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)
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)
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)
Ives Rene Venturini Pola, Agma J. M. Traina, Caetano Traina Jr., Daniel dos Santos Kaster
Improving Metric Access Methods with Bucket Files. SISAP (2015)
Glauco Vitor Pedrosa, Agma J. M. Traina
Compact and discriminative approach for encoding spatial-relationship of visual words. SAC (2015)
Lúcio F. D. Santos, Luiz Olmes Carvalho, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina Jr.
Diversity in Similarity Joins. SISAP (2015)
José Fernando Rodrigues Jr., Luciana A. M. Zaina, Maria Cristina Ferreira de Oliveira, Agma J. M. Traina
A survey on Information Visualization in light of Vision and Cognitive sciences. CoRR (2015)
José F. Rodrigues Jr., Agma J. M. Traina, Christos Faloutsos, Caetano Traina Jr.
SuperGraph Visualization. CoRR (2015)
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)
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)
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)
Daniel Y. T. Chino, Letricia P. S. Avalhais, José Fernando Rodrigues Jr., Agma J. M. Traina
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis. CoRR (2015)
José Fernando Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos
Large Graph Analysis in the GMine System. CoRR (2015)
José F. Rodrigues Jr., Luciana A. S. Romani, Agma J. M. Traina, Caetano Traina Jr.
Combining Visual Analytics and Content Based Data Retrieval Technology for Efficient Data Analysis. CoRR (2015)
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)
José Fernando Rodrigues Jr., Agma J. M. Traina, Maria Cristina Ferreira de Oliveira, Caetano Traina Jr.
Reviewing Data Visualization: an Analytical Taxonomical Study. CoRR (2015)

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Agma J. M. Traina