José F. Rodrigues Jr.

Orcid: 0000-0001-8318-1780

Affiliations:
  • University of Sao Paulo, Brazil


According to our database1, José F. Rodrigues Jr. authored at least 86 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2022
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics.
CoRR, 2022

Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021
DermaDL: Advanced Convolutional Neural Networks for Computer-Aided Skin-Lesion Classification.
SN Comput. Sci., 2021

Aircraft Fuselage Corrosion Detection Using Artificial Intelligence.
Sensors, 2021

Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts.
J. Heal. Informatics Res., 2021

LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks.
Inf. Sci., 2021

Convolutional module for heart localization and segmentation in MRI.
CoRR, 2021

DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage.
Comput. Electron. Agric., 2021

ExplorerTree: A Focus+Context Exploration Approach for 2D Embeddings.
Big Data Res., 2021

SHARq: sharing recursive queries in relational databases.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

APEHR: Automated Prognosis in Electronic Health Records using multi-head self-attention.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach.
J. Inf. Data Manag., 2020

DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods.
CoRR, 2020

Enhancing recursive graph querying on RDBMS with data clustering approaches.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Lig-Doctor: Real-World Clinical Prognosis using a Bi-Directional Neural Network.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

DermaDL: Advanced Convolutional Neural Networks for Automated Melanoma Detection.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Augmentation Techniques for Sequential Clinical Data to Improve Deep Learning Prediction Techniques.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Detecting multi-scale distance-based inconsistencies in cities through complex-networks.
J. Comput. Sci., 2019

Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls.
CoRR, 2019

Reconstructing commuters network using machine learning and urban indicators.
CoRR, 2019

A survey on Big Data and Machine Learning for Chemistry.
CoRR, 2019

Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018
Cutting-edge Relational Graph Data Management with Edge-k: From One to Multiple Edges in the Same Row.
J. Inf. Data Manag., 2018

A Computational Method for Interactive Design of Marbling Patterns.
Proceedings of the 17th Brazilian Symposium on Computer Games and Digital Entertainment, SBGames 2018, Foz do Iguaçu, Brazil, October 29, 2018

Caracterização Topológica de Redes Viárias por Meio da Análise de Vetores de Características e Técnicas de Agrupamento.
Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018

A smartphone application to measure the quality of pest control spraying machines via image analysis.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Recognition of Endangered Pantanal Animal Species using Deep Learning Methods.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

TendeR-Sims - Similarity Retrieval System for Public Tenders.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks.
Proceedings of the Computational Science - ICCS 2018, 2018

Topological Street-Network Characterization Through Feature-Vector and Cluster Analysis.
Proceedings of the Computational Science - ICCS 2018, 2018

A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques.
Proceedings of the IEEE Frontiers in Education Conference, 2018

RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017
ORFEL: Efficient detection of defamation or illegitimate promotion in online recommendation.
Inf. Sci., 2017

Angular descriptors of complex networks: A novel approach for boundary shape analysis.
Expert Syst. Appl., 2017

Behavioral Characterization of Criminality Spread in Cities.
Proceedings of the International Conference on Computational Science, 2017

Identifying Urban Inconsistencies via Street Networks.
Proceedings of the International Conference on Computational Science, 2017

2016
Complex Network Tools to Understand the Behavior of Criminality in Urban Areas.
CoRR, 2016

Local descriptors for soybean disease recognition.
Comput. Electron. Agric., 2016

BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory.
Comput. Electron. Agric., 2016

Unveiling smoke in social images with the SmokeBlock approach.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Fire Detection on Unconstrained Videos Using Color-Aware Spatial Modeling and Motion Flow.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

On the Support of a Similarity-enabled Relational Database Management System in Civilian Crisis Situations.
Proceedings of the ICEIS 2016, 2016

Vertex Centric Asynchronous Belief Propagation Algorithm for Large-Scale Graphs.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Effective and Unsupervised Fractal-Based Feature Selection for Very Large Datasets: Removing Linear and Non-linear Attribute Correlations.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
A survey on Information Visualization in light of Vision and Cognitive sciences.
CoRR, 2015

The 12 prophets dataset.
CoRR, 2015

A Survey on Distributed Visualization Techniques over Clusters of Personal Computers.
CoRR, 2015

M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model.
CoRR, 2015

StructMatrix: billion-scale visualization of planetary graphs by means of structure detection and dense matrices.
CoRR, 2015

ORFEL: super-fast detection of defamation and illegitimate promotion in online recommendation.
CoRR, 2015

BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis.
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015

Multimodal graph-based analysis over the DBLP repository: critical discoveries and hypotheses.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Social Tagging for e-Learning: An Approach Based on the Triplet of Learners, Learning Objects and Tags.
Proceedings of the Learning Technology for Education in Cloud - 4th International Workshop, 2015

Fire Detection from Social Media Images by Means of Instance-Based Learning.
Proceedings of the Enterprise Information Systems - 17th International Conference, 2015

Techniques for Effective and Efficient Fire Detection from Social Media Images.
Proceedings of the ICEIS 2015, 2015

StructMatrix: Large-Scale Visualization of Graphs by Means of Structure Detection and Dense Matrices.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Spectral analysis and text processing over the computer science literature: patterns and discoveries.
Proceedings of the Symposium on Applied Computing, 2014

Supervised-learning link recommendation in the DBLP co-authoring network.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

The use of social tagging to support the cataloguing of learning objects.
Proceedings of the IEEE Frontiers in Education Conference, 2014

Cataloguing of learning objects using social tagging.
Proceedings of the XL Latin American Computing Conference, 2014

2013
Large Graph Analysis in the GMine System.
IEEE Trans. Knowl. Data Eng., 2013

The Images and Data Bases Group at University of São Paulo.
J. Inf. Data Manag., 2013

A Ubiquitous Reflective E-Portfolio Architecture.
Int. J. Medical Informatics, 2013

Hierarchical visual filtering, pragmatic and epistemic actions for database visualization.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Graph-Based Relational Data Visualization.
Proceedings of the 17th International Conference on Information Visualisation, 2013

2012
e-LORS: Uma Abordagem para Recomendação de Objetos de Aprendizagem.
Revista Brasileira de Informática na Educ., 2012

Towards a Hybrid Approach for Adapting Web Graphical User Interfaces to Heterogeneous Devices using Context.
Int. J. Softw. Eng. Knowl. Eng., 2012

Image retrieval employing genetic dissimilarity weighting and feature space transformation functions.
Proceedings of the ACM Symposium on Applied Computing, 2012

2011
Adaptive learning in the educational e-LORS system: an approach based on preference categories.
Int. J. Learn. Technol., 2011

H-Metric: Characterizing Image Datasets via Homogenization Based on KNN-Queries.
Data Sci. J., 2011

2010
An approach to design the student interaction based on the recommendation of e-learning objects.
Proceedings of the 28th Annual International Conference on Design of Communication, 2010

Combining Visual Analytics and Content Based Data Retrieval Technology for Efficient Data Analysis.
Proceedings of the 14th International Conference on Information Visualisation, 2010

2008
Mining Patterns for Visual Interpretation in a Multiple-Views Environment.
Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

The Visual Expression Process: Bridging Vision and Data Visualization.
Proceedings of the Smart Graphics, 8th International Symposium, 2008

2007
Spatial-perceptual design: a new comprehension for interactive visual representations (Design espacial-perceptivo: uma nova compreensão para representações visuais interativas).
PhD thesis, 2007

The spatial-perceptual design space: a new comprehension for data visualization.
Inf. Vis., 2007

2006
GMine: A System for Scalable, Interactive Graph Visualization and Mining.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Reviewing Data Visualization: an Analytical Taxonomical Study.
Proceedings of the 10th International Conference on Information Visualisation, 2006

SuperGraph Visualization.
Proceedings of the Eigth IEEE International Symposium on Multimedia (ISM 2006), 2006

2005
Visualization Tree, Multiple Linked Analytical Decisions.
Proceedings of the Smart Graphics, 5th International Symposium, 2005

Enhanced visual evaluation of feature extractors for image mining.
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005

2003
Frequency Plot and Relevance Plot to Enhance Visual Data Exploration.
Proceedings of the 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2003

Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval.
Proceedings of the 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2003


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