Adriano Veloso

Orcid: 0000-0002-9177-4954

According to our database1, Adriano Veloso authored at least 128 papers between 2001 and 2024.

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Bibliography

2024
Using Deep Reinforcement Learning to Dispatch Loads to Carriers Under Uncertain Demand and Dynamic Fleet Size.
Proceedings of the Computational Logistics - 15th International Conference, 2024

Personalised Environmental Regulation for IoT Based on Perceived User Comfort.
Proceedings of the Global Information Infrastructure and Networking Symposium, 2024

2023
Mitigating bias in facial analysis systems by incorporating label diversity.
Comput. Graph., November, 2023

2022
Deep Learning Techniques for Explainable Resource Scales in Collectible Card Games.
IEEE Trans. Games, 2022

Prognosing the risk of COVID-19 death through a machine learning-based routine blood panel: A retrospective study in Brazil.
Int. J. Medical Informatics, 2022

Early identification of ICU patients at risk of complications: Regularization based on robustness and stability of explanations.
Artif. Intell. Medicine, 2022

Understanding Thresholds of Software Features for Defect Prediction.
Proceedings of the SBES 2022: XXXVI Brazilian Symposium on Software Engineering, Virtual Event Brazil, October 5, 2022

A data-centric approach for predicting individual outcomes in a multi-party legislative system.
Proceedings of the International Joint Conference on Neural Networks, 2022

Automatic Model Evaluation using Feature Importance Patterns on Unlabeled Data.
Proceedings of the International Joint Conference on Neural Networks, 2022

Drug Repurposing Opportunities in Shapley Space.
Proceedings of the International Joint Conference on Neural Networks, 2022

The Subtle Art of Digging for Defects: Analyzing Features for Defect Prediction in Java Projects.
Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering, 2022

2021
Predicting the Evolution of Pain Relief: Ensemble Learning by Diversifying Model Explanations.
ACM Trans. Comput. Heal., 2021

Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning.
Artif. Intell. Medicine, 2021

Predicting Heating Sliver in Duplex Stainless Steels Manufacturing through Rashomon Sets.
Proceedings of the International Joint Conference on Neural Networks, 2021

Assessing Media Bias in Cross-Linguistic and Cross-National Populations.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020
Characterization of Fake News Based on Subjectivity Lexicons.
J. Data Intell., 2020

Subjetividade em correções de redações detecção automática através de léxico de operadores de viés linguístico.
Linguamática, 2020

Understanding machine learning software defect predictions.
Autom. Softw. Eng., 2020

Predicting Software Defects with Explainable Machine Learning.
Proceedings of the 19th Brazilian Symposium on Software Quality, 2020

Computing with Subjectivity Lexicons.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Active Learning for Anomaly Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Supervised Learning for Fake News Detection.
IEEE Intell. Syst., 2019

Explainable Machine Learning for Fake News Detection.
Proceedings of the 11th ACM Conference on Web Science, 2019

Efficient Estimation of Node Representations in Large Graphs using Linear Contexts.
Proceedings of the International Joint Conference on Neural Networks, 2019

Fake News Classification Based on Subjective Language.
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, 2019

A Sequential Approach for Pain Recognition Based on Facial Representations.
Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Media Bias Characterization in Brazilian Presidential Elections.
Proceedings of the 5th International Workshop on Social Media World Sensors, 2019

Learning a Resource Scale for Collectible Card Games.
Proceedings of the IEEE Conference on Games, 2019

2018
Is it possible to describe television series from online comments?
J. Internet Serv. Appl., 2018

Website replica detection with distant supervision.
Inf. Retr. J., 2018

A Generalized Active Learning Approach for Unsupervised Anomaly Detection.
CoRR, 2018

Ego-Centric Analysis of Supportive Networks.
Proceedings of the 10th ACM Conference on Web Science, 2018

Fast and Effective Neural Networks for Translating Natural Language into Denotations.
Proceedings of the String Processing and Information Retrieval, 2018

Automated Essay Scoring in the Presence of Biased Ratings.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning Transferable Features For Open-Domain Question Answering.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Effective Fashion Retrieval Based on Semantic Compositional Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Learning to Rank with Deep Autoencoder Features.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Fast Node Embeddings: Learning Ego-Centric Representations.
Proceedings of the 6th International Conference on Learning Representations, 2018

Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Exploiting item co-utility to improve collaborative filtering recommendations.
J. Assoc. Inf. Sci. Technol., 2017

Setting Players' Behaviors in World of Warcraft through Semi-Supervised Learning.
CoRR, 2017

Generating Entity Representation from Online Discussions: Challenges and an Evaluation Framework.
Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017

Learning Transferable Features for Speech Emotion Recognition.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

Unsupervised and Scalable Algorithm for Learning Node Representations.
Proceedings of the 5th International Conference on Learning Representations, 2017

A Multi-aspect Analysis of Automatic Essay Scoring for Brazilian Portuguese.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Subject-Related Message Filtering in Social Media Through Context-Enriched Language Models.
Trans. Comput. Collect. Intell., 2016

An empirical study of socialbot infiltration strategies in the Twitter social network.
Soc. Netw. Anal. Min., 2016

Pointwise and pairwise clothing annotation: combining features from social media.
Multim. Tools Appl., 2016

2015
Mining citizen emotions to estimate the urgency of urban issues.
Inf. Syst., 2015

Improving daily deals recommendation using explore-then-exploit strategies.
Inf. Retr. J., 2015

Learning sequential classifiers from long and noisy discrete-event sequences efficiently.
Data Min. Knowl. Discov., 2015

Brazil Around the World: Characterizing and Detecting Brazilian Emigrants Using Google+.
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

Employee Analytics through Sentiment Analysis.
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015

Adding Value to Daily-Deals Recommendation: Multi-armed Bandits to Match Customers and Deals.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Reverse Engineering Socialbot Infiltration Strategies in Twitter.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Multiobjective Pareto-Efficient Approaches for Recommender Systems.
ACM Trans. Intell. Syst. Technol., 2014

A Two-stage active learning method for learning to rank.
J. Assoc. Inf. Sci. Technol., 2014

Self-training author name disambiguation for information scarce scenarios.
J. Assoc. Inf. Sci. Technol., 2014

Context-Aware Deal Size Prediction.
Proceedings of the String Processing and Information Retrieval, 2014

Economically-efficient sentiment stream analysis.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Learning to Annotate Clothes in Everyday Photos: Multi-modal, Multi-label, Multi-instance Approach.
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014

Socialbots: Implications on the Safety and Reliability of Twitter-Based Services.
Proceedings of the 2014 Brazilian Symposium on Computer Networks and Distributed Systems, 2014

Learning to Rank Similar Apparel Styles with Economically-Efficient Rule-Based Active Learning.
Proceedings of the International Conference on Multimedia Retrieval, 2014

2013
Learning Accurate and Interpretable Classifiers Using Optimal Multi-Criteria Rules.
J. Inf. Data Manag., 2013

FS-NER: a lightweight filter-stream approach to named entity recognition on twitter data.
Proceedings of the 22nd International World Wide Web Conference, 2013

Weighted slope one predictors revisited.
Proceedings of the 22nd International World Wide Web Conference, 2013

Risk analysis of electronic transactions in tourism web applications.
Proceedings of the 19th Brazilian Symposium on Multimedia and the Web, 2013

A KDD-Based Methodology to Rank Trust in e-Commerce Systems.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Using Mutual Influence to Improve Recommendations.
Proceedings of the String Processing and Information Retrieval, 2013

Caracterização do uso de hashtags do Twitter para mensurar o sentimento da população online: Um estudo de caso nas Eleições Presidenciais dos EUA em 2012.
Proceedings of the XXVIII Simpósio Brasileiro de Banco de Dados - Short Papers, Recife, Pernambuco, Brasil, September 30, 2013

Exploratory and interactive daily deals recommendation.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Filter-Stream Named Entity Recognition: A Case Study at the #MSM2013 Concept Extraction Challenge.
Proceedings of the Concept Extraction Challenge at the Workshop on 'Making Sense of Microposts', 2013

2012
Practical Detection of Spammers and Content Promoters in Online Video Sharing Systems.
IEEE Trans. Syst. Man Cybern. Part B, 2012

A tool for generating synthetic authorship records for evaluating author name disambiguation methods.
Inf. Sci., 2012

Cost-effective on-demand associative author name disambiguation.
Inf. Process. Manag., 2012

Methodology for fraud detection in electronic transactions.
Proceedings of the Brazilian Symposium on Multimedia and the Web, 2012

Um sistema de alarme para vigilância epidemiológica de rumores utilizando redes sociais.
Proceedings of the XXVII Simpósio Brasileiro de Banco de Dados, 2012

Pareto-efficient hybridization for multi-objective recommender systems.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Active associative sampling for author name disambiguation.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

New evolutionary approaches to high-dimensional data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Automatic Vandalism Detection in Wikipedia with Active Associative Classification.
Proceedings of the Theory and Practice of Digital Libraries, 2012

Characterizing the effectiveness of twitter hashtags to detect and track online population sentiment.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

Alleviating the Sparsity Problem in Recommender Systems by Exploring Underlying User Communities.
Proceedings of the 6th Alberto Mendelzon International Workshop on Foundations of Data Management, 2012

Named Entity Disambiguation in Streaming Data.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Demand-Driven Associative Classification.
Springer Briefs in Computer Science, Springer, ISBN: 978-0-85729-525-5, 2011

Information Retrieval Research at UFMG.
J. Inf. Data Manag., 2011

Competence-Conscious Associative Rank Aggregation.
J. Inf. Data Manag., 2011

Exploiting Temporal Locality to Determine User Bias in Microblogging Platforms.
J. Inf. Data Manag., 2011

Calibrated lazy associative classification.
Inf. Sci., 2011

Dengue surveillance based on a computational model of spatio-temporal locality of Twitter.
Proceedings of the Web Science 2011, 2011

Effective sentiment stream analysis with self-augmenting training and demand-driven projection.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Análise Adaptativa de Fluxo de Sentimento Baseada em Janela Deslizante Ativa.
Proceedings of the XXVI Simpósio Brasileiro de Banco de Dados, 2011

Rule-Based Active Sampling for Learning to Rank.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

From bias to opinion: a transfer-learning approach to real-time sentiment analysis.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Spam detection using web page content: a new battleground.
Proceedings of the 8th Annual Collaboration, 2011

2010
Learning to Rank using Query-Level Rules.
J. Inf. Data Manag., 2010

Demand-Driven Tag Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Learning to rank for content-based image retrieval.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Effective self-training author name disambiguation in scholarly digital libraries.
Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010

Active Learning Genetic programming for record deduplication.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Classificação associativa sob demanda.
PhD thesis, 2009

Competence-conscious associative classification.
Stat. Anal. Data Min., 2009

The Metric Dilemma: Competence-Conscious Associative Classification.
Proceedings of the SIAM International Conference on Data Mining, 2009

SyGAR - A Synthetic Data Generator for Evaluating Name Disambiguation Methods.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2009

2008
Learning to rank at query-time using association rules.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Calibrated Lazy Associative Classification.
Proceedings of the XXIII Simpósio Brasileiro de Banco de Dados, 2008

2007
Efficient on-demand Opinion Mining.
Proceedings of the XXII Simpósio Brasileiro de Banco de Dados, 2007

Multi-label Lazy Associative Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Automatic Moderation of Comments in a Large On-line Journalistic Environment.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

2006
Lazy Associative Classification for Content-based Spam Detection.
Proceedings of the Fourth Latin American Web Congress (LA-Web 2006), 2006

Lazy Associative Classification.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Multi-evidence, multi-criteria, lazy associative document classification.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Rule Generation and Rule Selection Techniques for Cost-Sensitive Associative Classification.
Proceedings of the 20° Simpósio Brasileiro de Bancos de Dados, 2005

2004
Parallel and distributed methods for incremental frequent itemset mining.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

2003
Efficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases.
Proceedings of the XVIII Simpósio Brasileiro de Bancos de Dados, 2003

New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases.
Proceedings of the 15th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2003), 2003

Mining Frequent Itemsets in Distributed and Dynamic Databases.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets.
Proceedings of the High Performance Computing - HiPC 2003, 10th International Conference, 2003

2002
Mining Frequent Itemsets in Evolving Databases.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Mining Reliable Models of Associations in Dynamic Databases.
Proceedings of the XVII Simpósio Brasileiro de Banco de Dados, 2002

Efficiently Mining Approximate Models of Associations in Evolving Databases.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Real World Association Rule Mining.
Proceedings of the Advances in Databases, 19th British National Conference on Databases, 2002

2001
Mineração Incremental de Regras de Associação.
Proceedings of the XVI Simpósio Brasileiro de Banco de Dados, 2001


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