An Evolutionary Approach to Solve Minimum Spanning Tree Problem with Fuzzy Parameters. - Tiago Agostinho de Almeida; Akebo Yamakami; Marcia Tomie Takahashi (CIMCA/IAWTIC, 2005)

Artificial Immune System to Find a Set of k -Spanning Trees with Low Costs and Distinct Topologies. - Priscila C. Berbert; Leonardo J. R. Freitas Filho; Tiago A. Almeida 001; Márcia B. Carvalho; Akebo Yamakami (ICARIS, 2007)

Evaluation of Approaches for Dimensionality Reduction Applied with Naive Bayes Anti-Spam Filters. - Tiago A. Almeida 001; Akebo Yamakami; Jurandy Almeida (ICMLA, 2009)

Robust Estimation of Camera Motion Using Optical Flow Models. - Jurandy Almeida; Rodrigo Minetto; Tiago A. Almeida 001; Ricardo da Silva Torres; Neucimar Jerônimo Leite (ISVC (1), 2009)

Content-based spam filtering. - Tiago A. Almeida 001; Akebo Yamakami (IJCNN, 2010)

Probabilistic anti-spam filtering with dimensionality reduction. - Tiago A. Almeida 001; Akebo Yamakami; Jurandy Almeida (SAC, 2010)

Filtering spams using the minimum description length principle. - Tiago A. Almeida 001; Akebo Yamakami; Jurandy Almeida (SAC, 2010)

SPAM : do surgimento à extinção - Tiago Agostinho de Almeida (2010)

Contributions to the study of SMS spam filtering: new collection and results. - Tiago A. Almeida 001; José María Gómez Hidalgo; Akebo Yamakami (ACM Symposium on Document Engineering, 2011)

Spam filtering: how the dimensionality reduction affects the accuracy of Naive Bayes classifiers. - Tiago A. Almeida 001; Jurandy Almeida; Akebo Yamakami (J. Internet Serv. Appl., 2011)

Towards Web Spam Filtering with Neural-Based Approaches. - Renato Moraes Silva; Tiago A. Almeida 001; Akebo Yamakami (IBERAMIA, 2012)

On the Validity of a New SMS Spam Collection. - José María Gómez Hidalgo; Tiago A. Almeida 001; Akebo Yamakami (ICMLA (2), 2012)

The Assessment of the Quality of Sugar Using Electronic Tongue and Machine Learning Algorithms. - Tiemi C. Sakata; Katti Faceli; Tiago A. Almeida 001; Antonio Riul Jr.; Wanessa M. D. M. F. Steluti (ICMLA (1), 2012)

An Analysis of Machine Learning Methods for Spam Host Detection. - Renato Moraes Silva; Akebo Yamakami; Tiago A. Almeida 001 (ICMLA (2), 2012)

Redes Neurais Artificiais para Detecção de Web Spams. - Renato Moraes Silva; Tiago A. Almeida 001; Akebo Yamakami (SBSI, 2012)

Facing the spammers: A very effective approach to avoid junk e-mails. - Tiago A. Almeida 001; Akebo Yamakami (Expert Syst. Appl., 2012)

Avaliação de Desempenho de Métodos de Classificação Aplicados na Identificação de Spam Hosts. - Renato Moraes Silva; Alex Garcia Vaz; Tiago Agostinho de Almeida; Akebo Yamakami (Braz. J. Inf. Syst., 2012)

Occam's razor-based spam filter. - Tiago A. Almeida 001; Akebo Yamakami (J. Internet Serv. Appl., 2012)

Advances in Spam Filtering Techniques. - Tiago A. Almeida 001; Akebo Yamakami (Computational Intelligence for Privacy and Security, 2012)

Learning to Block Undesired Comments in the Blogosphere. - Tiago A. Almeida 001; Túlio C. Alberto (ICMLA (2), 2013)

Can the Online Social Networks Be Used as a Learning Tool? A Case Study in Twitter. - Luciana A. M. Zaina; Tiago A. Almeida 001; Guilherme M. Torres (LTEC@KMO, 2014)

TubeSpam: Comment Spam Filtering on YouTube. - Túlio C. Alberto; Johannes V. Lochter; Tiago A. Almeida 001 (ICMLA, 2015)

SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers. - Dheny Fernandes; Kelton A. P. da Costa; Tiago A. Almeida 001; João Paulo Papa (ICMLA, 2015)

Post or Block? Advances in Automatically Filtering Undesired Comments. - Túlio C. Alberto; Johannes V. Lochter; Tiago A. Almeida 001 (J. Intell. Robotic Syst., 2015)

Towards Web Spam Filtering Using a Classifier Based on the Minimum Description Length Principle. - Renato Moraes Silva; Tiago A. Almeida 001; Akebo Yamakami (ICMLA, 2016)

Short text opinion detection using ensemble of classifiers and semantic indexing. - Johannes V. Lochter; Rafael F. Zanetti; Dominik Reller; Tiago A. Almeida 001 (Expert Syst. Appl., 2016)

Text normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering. - Tiago A. Almeida 001; Tiago P. Silva; Igor Santos; José María Gómez Hidalgo (Knowl. Based Syst., 2016)

Compression-based spam filter. - Tiago A. Almeida 001; Akebo Yamakami (Secur. Commun. Networks, 2016)

Towards filtering undesired short text messages using an online learning approach with semantic indexing. - Renato Moraes Silva; Túlio C. Alberto; Tiago A. Almeida 001; Akebo Yamakami (Expert Syst. Appl., 2017)

MDLText e Indexação Semântica aplicados na Detecção de Spam nos Comentários do YouTube. - Renato Moraes Silva; Túlio C. Alberto; Tiago A. Almeida 001; Akebo Yamakami (Braz. J. Inf. Syst., 2017)

MDLText: An efficient and lightweight text classifier. - Renato Moraes Silva; Tiago A. Almeida 001; Akebo Yamakami (Knowl. Based Syst., 2017)

Semantic Indexing-Based Data Augmentation for Filtering Undesired Short Text Messages. - Johannes V. Lochter; Renato Moraes Silva; Tiago A. Almeida 001; Akebo Yamakami (ICMLA, 2018)

Evaluating the impact of corpora used to train distributed text representation models for noisy and short texts. - Johannes V. Lochter; Pedro R. Pires; Carlos Bossolani; Akebo Yamakami; Tiago A. Almeida 001 (IJCNN, 2018)

Towards Automatically Creating Large Labeled Datasets for Training Question Domain Classifiers. - Leandro L. Tavares; Renato Moraes Silva; Tiago A. Almeida 001 (IJCNN, 2018)

Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results. - Rafael A. Monteiro; Roney L. S. Santos; Thiago A. S. Pardo; Tiago A. de Almeida 001; Evandro Eduardo Seron Ruiz; Oto A. Vale (PROPOR, 2018)

Towards automatic filtering of fake reviews. - Emerson F. Cardoso; Renato Moraes Silva; Tiago A. Almeida 001 (Neurocomputing, 2018)

MDLText aplicado na Filtragem Automática de SPIM e SMS Spam. - Renato Moraes Silva; Tiago A. Almeida 001; Akebo Yamakami (Braz. J. Inf. Syst., 2018)

ML-MDLText: A Multilabel Text Categorization Technique with Incremental Learning. - Marciele M. Bittencourt; Renato Moraes Silva; Tiago A. Almeida 001 (BRACIS, 2019)

Deep Learning Models for Representing Out-of-Vocabulary Words. - Johannes V. Lochter; Renato Moraes Silva; Tiago A. Almeida 001 (BRACIS, 2020)

Dense Captioning Using Abstract Meaning Representation. - Antonio M. S. Almeida Neto; Helena de Medeiros Caseli; Tiago A. Almeida 001 (BRACIS, 2020)

ML-MDLText: An efficient and lightweight multilabel text classifier with incremental learning. - Marciele M. Bittencourt; Renato Moraes Silva; Tiago A. Almeida 001 (Appl. Soft Comput., 2020)

Towards automatically filtering fake news in Portuguese. - Renato Moraes Silva; Roney L. S. Santos; Tiago A. Almeida 001; Thiago A. S. Pardo (Expert Syst. Appl., 2020)

Gaussian Mixture Descriptors Learner. - Breno L. Freitas; Renato Moraes Silva; Tiago A. Almeida 001 (Knowl. Based Syst., 2020)

Time-Dependent Item Embeddings for Collaborative Filtering. - Pedro R. Pires; Amanda C. Pascon; Tiago A. Almeida 001 (BRACIS (2), 2021)

Interact2Vec: Neural Item and User Embedding for Collaborative Filtering. - Pedro R. Pires; Tiago A. Almeida 001 (BRACIS (2), 2022)

FastContext: Handling Out-of-Vocabulary Words Using the Word Structure and Context. - Renato Moraes Silva; Johannes V. Lochter; Tiago A. Almeida 001; Akebo Yamakami (BRACIS (2), 2022)

Multi-level out-of-vocabulary words handling approach. - Johannes V. Lochter; Renato Moraes Silva; Tiago A. Almeida 001 (Knowl. Based Syst., 2022)

An Effective CPT-Based Nonintrusive Load Monitoring for Cognitive Meters. - Wesley Angelino de Souza; Tiago Agostinho de Almeida (IEEE Trans. Smart Grid, 2022)

An Explainable Model to Support the Decision About the Therapy Protocol for AML. - Jade M. Almeida; Giovanna A. Castro; João A. Machado-Neto; Tiago A. Almeida 001 (BRACIS (1), 2023)

Productive Crop Field Detection: A New Dataset and Deep-Learning Benchmark Results. - Eduardo Nascimento 002; John Just; Jurandy Almeida; Tiago A. Almeida 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Accelerating discoveries in medicine using distributed vector representations of words. - Matheus V. V. Berto; Breno L. Freitas; Carolina Scarton; João A. Machado-Neto; Tiago A. Almeida 001 (Expert Syst. Appl., 2024)

A decision support system to recommend appropriate therapy protocol for AML patients. - Giovanna A. Castro; Jade M. Almeida; João A. Machado-Neto; Tiago A. Almeida 001 (Frontiers Artif. Intell., 2024)

Productive Crop Fields Dataset. - Eduardo Nascimento 002; John Just; Jurandy Almeida; Tiago A. Almeida 001 (IEEE DataPort, 2024)

Collaborative filtering through weighted similarities of user and item embeddings. - Pedro R. Pires; Rafael T. Sereicikas; Gregório F. Azevedo; Tiago A. Almeida 001 (SAC, 2025)

Interact2Vec - An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems. - Pedro R. Pires; Tiago A. Almeida 001 (Appl. Soft Comput., 2025)

Vulnerable road user detection and safety enhancement: A comprehensive survey. - Renato Moraes Silva; Gregório F. Azevedo; Matheus V. V. Berto; Jean R. Rocha; Eduardo Candioto Fidelis; Matheus Velloso Nogueira; Pedro H. Lisboa; Tiago A. Almeida 001 (Expert Syst. Appl., 2025)

Beyond Recommendations: Intrinsic Evaluation Strategies for Item Embeddings in Recommender Systems. - Pedro R. Pires; Tiago A. Almeida 001 (J. Braz. Comput. Soc., 2025)

Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation. - Pedro R. Pires; Gregório F. Azevedo; Pietro L. Campos; Rafael T. Sereicikas; Tiago A. Almeida 001 (CoRR, 2025)