Adriano Veloso
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
25
Active years
2002–2026
Best venue rank
A*
Where they publish
- BIJCNN13 papers
- CSPIRE3 papers
- A*SIGIR3 papers
- AEACL2 papers
- AICWSM2 papers
- A*ICLR2 papers
- ARecSys2 papers
- A*WWW2 papers
- ASDM2 papers
- A*ICDM2 papers
- CICMLA1 paper
- BTrustCom1 paper
- BENASE1 paper
- BLREC1 paper
- CIIWAS1 paper
- CICVS1 paper
- ANAACL1 paper
- A*ACL1 paper
- A*CHI1 paper
- AGECCO1 paper
- A*KDD1 paper
- BCEC1 paper
- ACIKM1 paper
- NationalHiPC1 paper
- CSBAC-PAD1 paper
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Synthetic Data Fine-Tuning for Effective Team Formation in Enterprises. | Guilherme Drummond Lima, Adriano Veloso |
| 2025 | ICMLA | Enhancing Authorship Attribution with Synthetic Paintings. | Clarissa Loures, Caio Hosken, Luan Oliveira, Gianlucca L. Zuin, Adriano Veloso |
| 2025 | IJCNN | Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts. | Gianlucca L. Zuin, Saulo Martiello Mastelini, Tlio C. Loures, Adriano Veloso |
| 2024 | TrustCom | Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms. | Gianlucca L. Zuin, Adriano Veloso |
| 2022 | ENASE | The Subtle Art of Digging for Defects: Analyzing Features for Defect Prediction in Java Projects. | Geanderson E. dos Santos, Adriano Veloso, Eduardo Figueiredo |
| 2022 | IJCNN | Automatic Model Evaluation using Feature Importance Patterns on Unlabeled Data. | Ismael Santana Silva, Adriano Veloso |
| 2022 | IJCNN | A data-centric approach for predicting individual outcomes in a multi-party legislative system. | Roberta Viola, Guilherme Drummond, Adriano Veloso, Mauricio Zuardi |
| 2021 | IJCNN | Predicting Heating Sliver in Duplex Stainless Steels Manufacturing through Rashomon Sets. | Gianlucca L. Zuin, Felipe Marcelino, Lucas Borges, Joo Couto, Victor Jorge, Mychell Laurindo, Glaucio Barcelos, Mrcio Cunha, Valdeci Alvarenga, Henrique Rodrigues, Paulo Balsamo, Adriano Veloso |
| 2021 | ICWSM | Assessing Media Bias in Cross-Linguistic and Cross-National Populations. | Allan Sales, Albin Zehe, Leandro Balby Marinho, Adriano Veloso, Andreas Hotho, Janna Omeliyanenko |
| 2020 | IJCNN | Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding. | Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani |
| 2020 | IJCNN | Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease. | Eduardo Nigri, Nivio Ziviani, Fbio A. M. Cappabianco, Augusto Antunes, Adriano Veloso |
| 2020 | IJCNN | Deep Active Learning for Anomaly Detection. | Tiago Pimentel, Marianne Monteiro, Adriano Veloso, Nivio Ziviani |
| 2020 | IJCNN | Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations. | Dan Valle, Tiago Pimentel, Adriano Veloso |
| 2020 | IJCNN | Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions. | Gianlucca L. Zuin, Adriano Veloso, Joo Cndido Portinari, Nivio Ziviani |
| 2020 | LREC | Computing with Subjectivity Lexicons. | Caio Libnio Melo Jernimo, Cludio Elzio Calazans Campelo, Leandro Balby Marinho, Allan Sales da Costa Melo, Adriano Veloso, Roberta Viola |
| 2019 | IIWAS | Fake News Classification Based on Subjective Language. | Caio Libnio Melo Jernimo, Leandro Balby Marinho, Cludio E. C. Campelo, Adriano Veloso, Allan Sales da Costa Melo |
| 2019 | IJCNN | Efficient Estimation of Node Representations in Large Graphs using Linear Contexts. | Tiago Pimentel, Rafael Castro, Adriano Veloso, Nivio Ziviani |
| 2019 | ICVS | A Sequential Approach for Pain Recognition Based on Facial Representations. | Antoni Mauricio, Fbio A. M. Cappabianco, Adriano Veloso, Guillermo Cmara |
| 2018 | ICLR | Fast Node Embeddings: Learning Ego-Centric Representations. | Tiago Pimentel, Adriano Veloso, Nivio Ziviani |
| 2018 | IJCNN | Learning to Rank with Deep Autoencoder Features. | Alberto Albuquerque, Tiago Amador, Renato Ferreira, Adriano Veloso, Nivio Ziviani |
| 2018 | IJCNN | Effective Fashion Retrieval Based on Semantic Compositional Networks. | Dan Valle, Nivio Ziviani, Adriano Veloso |
| 2018 | IJCNN | Learning Transferable Features For Open-Domain Question Answering. | Gianlucca L. Zuin, Luiz Chaimowicz, Adriano Veloso |
| 2018 | NAACL | Automated Essay Scoring in the Presence of Biased Ratings. | Evelin Amorim, Mrcia Canado, Adriano Veloso |
| 2018 | SPIRE | Fast and Effective Neural Networks for Translating Natural Language into Denotations. | Tiago Pimentel, Juliano Viana, Adriano Veloso, Nivio Ziviani |
| 2017 | EACL | A Multi-aspect Analysis of Automatic Essay Scoring for Brazilian Portuguese. | Evelin Amorim, Adriano Veloso |
| 2017 | ICLR | Unsupervised and Scalable Algorithm for Learning Node Representations. | Tiago Pimentel, Adriano Veloso, Nivio Ziviani |
| 2014 | SIGIR | Economically-efficient sentiment stream analysis. | Roberto Loureno de Oliveira Jr., Adriano Veloso, Adriano C. M. Pereira, Wagner Meira Jr., Renato Ferreira, Srinivasan Parthasarathy |
| 2014 | SPIRE | Context-Aware Deal Size Prediction. | Ansio Lacerda, Adriano Veloso, Rodrygo L. T. Santos, Nivio Ziviani |
| 2013 | RecSys | Exploratory and interactive daily deals recommendation. | Ansio Lacerda, Adriano Veloso, Nivio Ziviani |
| 2013 | WWW | Weighted slope one predictors revisited. | Danilo Menezes, Ansio Lacerda, Leila Silva, Adriano Veloso, Nivio Ziviani |
| 2013 | WWW | FS-NER: a lightweight filter-stream approach to named entity recognition on twitter data. | Diego Marinho de Oliveira, Alberto H. F. Laender, Adriano Veloso, Altigran Soares da Silva |
| 2013 | SPIRE | Using Mutual Influence to Improve Recommendations. | Aline Bessa, Adriano Veloso, Nivio Ziviani |
| 2012 | ACL | Named Entity Disambiguation in Streaming Data. | Alexandre Davis, Adriano Veloso, Altigran Soares da Silva, Alberto H. F. Laender, Wagner Meira Jr. |
| 2012 | CHI | Characterizing the effectiveness of twitter hashtags to detect and track online population sentiment. | Glvia Anglica Rodrigues Barbosa, Ismael Santana Silva, Mohammed Javeed Zaki, Wagner Meira Jr., Raquel O. Prates, Adriano Veloso |
| 2012 | GECCO | New evolutionary approaches to high-dimensional data. | Luis Matoso, Jos Felipe Jnior, Adriano C. M. Pereira, Adriano Veloso, Wagner Meira Jr. |
| 2012 | RecSys | Pareto-efficient hybridization for multi-objective recommender systems. | Marco Tlio Ribeiro, Ansio Lacerda, Adriano Veloso, Nivio Ziviani |
| 2011 | KDD | From bias to opinion: a transfer-learning approach to real-time sentiment analysis. | Pedro Henrique Calais Guerra, Adriano Veloso, Wagner Meira Jr., Virglio A. F. Almeida |
| 2011 | SIGIR | Effective sentiment stream analysis with self-augmenting training and demand-driven projection. | Ismael Santana Silva, Janana Gomide, Adriano Veloso, Wagner Meira Jr., Renato Ferreira |
| 2010 | CEC | Active Learning Genetic programming for record deduplication. | Junio de Freitas, Gisele L. Pappa, Altigran Soares da Silva, Marcos Andr Gonalves, Edleno Silva de Moura, Adriano Veloso, Alberto H. F. Laender, Moiss G. de Carvalho |
| 2009 | SDM | The Metric Dilemma: Competence-Conscious Associative Classification. | Adriano Veloso, Mohammed Javeed Zaki, Wagner Meira Jr., Marcos Andr Gonalves |
| 2008 | SIGIR | Learning to rank at query-time using association rules. | Adriano Veloso, Humberto Mossri de Almeida, Marcos Andr Gonalves, Wagner Meira Jr. |
| 2007 | ICWSM | Automatic Moderation of Comments in a Large On-line Journalistic Environment. | Adriano Veloso, Wagner Meira Jr., Tiago Alves Macambira, Dorgival O. Guedes, Hlio Marcos Paz de Almeida |
| 2006 | CIKM | Multi-evidence, multi-criteria, lazy associative document classification. | Adriano Veloso, Wagner Meira Jr., Marco Cristo, Marcos Andr Gonalves, Mohammed Javeed Zaki |
| 2006 | ICDM | Lazy Associative Classification. | Adriano Veloso, Wagner Meira Jr., Mohammed J. Zaki |
| 2003 | HiPC | Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets. | Adriano Veloso, Matthew Eric Otey, Srinivasan Parthasarathy, Wagner Meira Jr. |
| 2003 | ICDM | Mining Frequent Itemsets in Distributed and Dynamic Databases. | Matthew Eric Otey, Chao Wang, Srinivasan Parthasarathy, Adriano Veloso, Wagner Meira Jr. |
| 2003 | SBAC-PAD | New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases. | Adriano Veloso, Wagner Meira Jr., Srinivasan Parthasarathy |
| 2002 | SDM | Mining Frequent Itemsets in Evolving Databases. | Adriano Veloso, Wagner Meira Jr., Mrcio de Carvalho, Bruno Pssas, Srinivasan Parthasarathy, Mohammed Javeed Zaki |