Tiago A. Almeida

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 20

Top Topics

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

Publications

Ana Theresa F. O. Mancini, Tiago A. Almeida, Carlos E. T. Dórea
Improved Output Feedback Control of Constrained Linear Systems using Invariant Sets. ICINCO (2021)
Tiago A. Almeida, Carlos E. T. Dórea
Output Feedback Constrained Regulation of Linear Systems via Controlled-Invariant Sets. IEEE Trans. Autom. Control. 66 (7) (2021)
Pedro R. Pires, Amanda C. Pascon, Tiago A. Almeida
Time-Dependent Item Embeddings for Collaborative Filtering. BRACIS (2) (2021)
Marciele M. Bittencourt, Renato Moraes Silva, Tiago A. Almeida
ML-MDLText: An efficient and lightweight multilabel text classifier with incremental learning. Appl. Soft Comput. 96 (2020)
Johannes V. Lochter, Renato Moraes Silva, Tiago A. Almeida
Deep Learning Models for Representing Out-of-Vocabulary Words. BRACIS (2020)
Renato Moraes Silva, Roney L. S. Santos, Tiago A. Almeida, Thiago A. S. Pardo
Towards automatically filtering fake news in Portuguese. Expert Syst. Appl. 146 (2020)
Antonio M. S. Almeida Neto, Helena de Medeiros Caseli, Tiago A. Almeida
Dense Captioning Using Abstract Meaning Representation. BRACIS (2020)
Johannes V. Lochter, Renato Moraes Silva, Tiago A. Almeida
Deep learning models for representing out-of-vocabulary words. CoRR (2020)
Breno L. Freitas, Renato Moraes Silva, Tiago A. Almeida
Gaussian Mixture Descriptors Learner. Knowl. Based Syst. 188 (2020)
Marciele M. Bittencourt, Renato Moraes Silva, Tiago A. Almeida
ML-MDLText: A Multilabel Text Categorization Technique with Incremental Learning. BRACIS (2019)
Johannes V. Lochter, Pedro R. Pires, Carlos Bossolani, Akebo Yamakami, Tiago A. Almeida
Evaluating the impact of corpora used to train distributed text representation models for noisy and short texts. IJCNN (2018)
Leandro L. Tavares, Renato Moraes Silva, Tiago A. Almeida
Towards Automatically Creating Large Labeled Datasets for Training Question Domain Classifiers. IJCNN (2018)
Emerson F. Cardoso, Renato Moraes Silva, Tiago A. Almeida
Towards automatic filtering of fake reviews. Neurocomputing 309 (2018)
Johannes V. Lochter, Renato Moraes Silva, Tiago A. Almeida, Akebo Yamakami
Semantic Indexing-Based Data Augmentation for Filtering Undesired Short Text Messages. ICMLA (2018)
Renato Moraes Silva, Tiago A. Almeida, Akebo Yamakami
MDLText: An efficient and lightweight text classifier. Knowl. Based Syst. 118 (2017)
Renato Moraes Silva, Túlio C. Alberto, Tiago A. Almeida, Akebo Yamakami
Towards filtering undesired short text messages using an online learning approach with semantic indexing. Expert Syst. Appl. 83 (2017)
Johannes V. Lochter, Rafael F. Zanetti, Dominik Reller, Tiago A. Almeida
Short text opinion detection using ensemble of classifiers and semantic indexing. Expert Syst. Appl. 62 (2016)
Tiago A. Almeida, Akebo Yamakami
Compression-based spam filter. Secur. Commun. Networks 9 (4) (2016)
Tiago A. Almeida, Tiago P. Silva, Igor Santos, José María Gómez Hidalgo
Text normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering. Knowl. Based Syst. 108 (2016)
Renato Moraes Silva, Tiago A. Almeida, Akebo Yamakami
Towards Web Spam Filtering Using a Classifier Based on the Minimum Description Length Principle. ICMLA (2016)
Dheny Fernandes, Kelton A. P. da Costa, Tiago A. Almeida, João Paulo Papa
SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers. ICMLA (2015)
Túlio C. Alberto, Johannes V. Lochter, Tiago A. Almeida
Post or Block? Advances in Automatically Filtering Undesired Comments. J. Intell. Robotic Syst. 80 (Supplement-1) (2015)
Túlio C. Alberto, Johannes V. Lochter, Tiago A. Almeida
TubeSpam: Comment Spam Filtering on YouTube. ICMLA (2015)
Tiago A. Almeida, Túlio C. Alberto
Learning to Block Undesired Comments in the Blogosphere. ICMLA (2) (2013)
José María Gómez Hidalgo, Tiago A. Almeida, Akebo Yamakami
On the Validity of a New SMS Spam Collection. ICMLA (2) (2012)
Renato Moraes Silva, Akebo Yamakami, Tiago A. Almeida
An Analysis of Machine Learning Methods for Spam Host Detection. ICMLA (2) (2012)
Tiago A. Almeida, Akebo Yamakami
Facing the spammers: A very effective approach to avoid junk e-mails. Expert Syst. Appl. 39 (7) (2012)
Renato Moraes Silva, Tiago A. Almeida, Akebo Yamakami
Redes Neurais Artificiais para Detecção de Web Spams. SBSI (2012)
Renato Moraes Silva, Tiago A. Almeida, Akebo Yamakami
Towards Web Spam Filtering with Neural-Based Approaches. IBERAMIA (2012)
Tiemi C. Sakata, Katti Faceli, Tiago A. Almeida, Antonio Riul Junior, Wanessa M. D. M. F. Steluti
The Assessment of the Quality of Sugar Using Electronic Tongue and Machine Learning Algorithms. ICMLA (1) (2012)
Tiago A. Almeida, Akebo Yamakami
Occam's razor-based spam filter. J. Internet Serv. Appl. 3 (3) (2012)
Tiago A. Almeida, Jurandy Almeida, Akebo Yamakami
Spam filtering: how the dimensionality reduction affects the accuracy of Naive Bayes classifiers. J. Internet Serv. Appl. 1 (3) (2011)
Tiago A. Almeida, José María Gómez Hidalgo, Akebo Yamakami
Contributions to the study of SMS spam filtering: new collection and results. ACM Symposium on Document Engineering (2011)
Tiago A. Almeida, Akebo Yamakami, Jurandy Almeida
Filtering spams using the minimum description length principle. SAC (2010)
Tiago A. Almeida, Akebo Yamakami, Jurandy Almeida
Probabilistic anti-spam filtering with dimensionality reduction. SAC (2010)
Tiago A. Almeida, Akebo Yamakami
Content-based spam filtering. IJCNN (2010)
Jurandy Almeida, Rodrigo Minetto, Tiago A. Almeida, Ricardo da Silva Torres, Neucimar Jerônimo Leite
Robust Estimation of Camera Motion Using Optical Flow Models. ISVC (1) (2009)
Tiago A. Almeida, Akebo Yamakami, Jurandy Almeida
Evaluation of Approaches for Dimensionality Reduction Applied with Naive Bayes Anti-Spam Filters. ICMLA (2009)
Priscila C. Berbert, Leonardo J. R. Freitas Filho, Tiago A. Almeida, Márcia B. Carvalho, Akebo Yamakami
-Spanning Trees with Low Costs and Distinct Topologies. ICARIS (2007)