Publications

As of  March 6, 2024. Electronic versions of the published documents (.pdf or .ps) are available upon request.

Highlights

K. FACELI, A.C. LORENA, J. GAMA, T.A. ALMEIDA and A.C.L.P.F. CARVALHO, Inteligência Artificial – Uma Abordagem de Aprendizado de Máquina, ISBN: 9788521637493, 2nd Edition, LTC, 2021.

Winner of the Brazilian Jabuti Prize (the most important literary award in Brazil), the book Inteligência Artificial – Uma Abordagem de Aprendizado de Máquina addresses the main machine learning concepts and algorithms and points out ways to transform this knowledge into practical applications.

R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. MDLText: An Efficient and Lightweight Text Classifier. Knowledge-Based Systems, Elsevier, 118(2017), 152-164, 2017.

MDLText is an efficient, lightweight, scalable, and fast multinomial text classifier. It exhibits fast incremental learning as well as being sufficiently robust to prevent overfitting, which are desirable features in real-world applications, large-scale problems, and online scenarios. The source code is available here.

T.A. ALMEIDA, J.M. GÓMEZ HIDALGO and A. YAMAKAMI. Contributions to the Study of SMS Spam Filtering: New Collection and Results.Proceedings of the 2011 ACM Symposium on Document Engineering, 259-262, 2011.

In this paper, we offer the SMS Spam Collection – a real, public and non-encoded SMS spam collection. Moreover, we compare the performance achieved by several established machine learning methods. The corpus is available here.

Books

Inteligência Artificial – Uma Abordagem de Aprendizado de Máquina

[Artificial Intelligence – A Machine Learning Approach]

K. FACELI, A.C. LORENA, J. GAMA, T.A. ALMEIDA, A.C.L.P.F. CARVALHO

ISBN: 9788521637493, 2nd Edition, LTC, 2021

Winner of the Brazilian Jabuti Prize (the most important literary award in Brazil), the book Inteligência Artificial – Uma Abordagem de Aprendizado de Máquina addresses the main machine learning concepts and algorithms and points out ways to transform this knowledge into practical applications.

Available at:

Journals

  • M.V.V. BERTO, B.L. FREITAS, C. SCARTON, J.A. MACHADO-NETO and T.A. ALMEIDA. Accelerating Discoveries in Medicine using Distributed Vector Representations of Words. Expert Systems with Applications, 2024. [to appear]
  • G.A. CASTRO, J.M. ALMEIDA , J.A. MACHADO-NETO and T.A. ALMEIDA. A decision support system to recommend appropriate therapy protocol for AML patients. Frontiers in Artificial Intelligence, 7, 1-15, 2024. [pdf, data]
  • E.G. NASCIMENTO, J. JUST, J.G. ALMEIDA and T.A. ALMEIDA. Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results. IEEE Geoscience and Remote Sensing Letters, 1-5, 2023. [pdf, preprint, data]
  • R.M. SILVA, P.R. PIRES and T.A. ALMEIDA. Incremental learning for fake news detection. Journal of Information and Data Management, Volume 13 (6), 566-579, 2022. [pdf]
  • J. VON LOCHTER, R.M. SILVA and T.A. ALMEIDA. Multi-level out-of-vocabulary words handling approach. Knowledge-Based Systems, Elsevier, Volume 251, 1-11, 2022. [pdf]
  • W.A. SOUZA and T.A. ALMEIDA. An Effective CPT-based Nonintrusive Load Monitoring for Cognitive Meters. IEEE Transactions on Smart Grid, IEEE, Volume 13 (3), 2148-2157, 2022. [pdf]
  • M.M. BITTENCOURT, R.M. SILVA and T.A. ALMEIDA. ML-MDLText: an efficient and lightweight multilabel text classifier with incremental learning. Applied Soft Computing, Elsevier, Volume 96, 1-15, 2020. [pdf]
  • R.M. SILVA,  R.L.S. SANTOS, T.A. ALMEIDA. and T.A.S. PARDO. Towards Automatically Filtering Fake News in Portuguese. Expert Systems with Applications, Elsevier, Volume 146, 1-14, 2020. [pdf]
  • B.L. FREITAS, R.M. SILVA and T.A. ALMEIDA. Gaussian Mixture Descriptors Learner. Knowledge-Based Systems, Elsevier, Volume 188, 1-9, 2019. [pdf]
  • E.F. CARDOSO, R.M. SILVA R.M. SILVA and T.A. ALMEIDA. Towards automatic filtering of fake reviews. Neurocomputing, Elsevier, 309(2018), 106-116, 2018. [pdf]
  • T.C. LUZ, F.L. VERDI and T.A. ALMEIDA. Towards Novelty Detection in Electronic Devices based on their Energy Consumption. Energy Efficiency, Springer, 11(2018), 939-953, 2018. [pdf]
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. MDLText aplicado na Filtragem Automática de SPIM e SMS Spam. iSys – Revista Brasileira de Sistemas de Informação, 11(1), 1-30, 2018. [pdf]
  • R.M. SILVA, T.C. ALBERTO and T.A. ALMEIDA. MDLText e Indexação Semântica aplicados na Detecção de Spam nos Comentários do YouTube. iSys – Revista Brasileira de Sistemas de Informação, 10(3), 49-73, 2017. [pdf]
  • R.M. SILVA,  T.C. ALBERTO, T.A. ALMEIDA. and A. YAMAKAMI. Towards Filtering Undesired Short Text Messages using an Online Learning Approach with Semantic Indexing. Expert Systems with Applications, Elsevier, 83(2017), 314-325, 2017. [pdf]
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. MDLText: An Efficient and Lightweight Text Classifier. Knowledge-Based Systems, Elsevier, 118(2017), 152-164, 2017. [pdf]
  • J. VON LOCHTER, R.F. ZANETTI, D. RELLER and T.A. ALMEIDA. Short Text Opinion Detection using Ensemble of Classifiers and Semantic Indexing. Expert Systems with Applications, Elsevier, 62(2016), 243-249, 2016. [pdf]
  • T.A. ALMEIDA, T.P. SILVA, I. SANTOS and J.M. GOMEZ HIDALGO. Text Normalization and Semantic Indexing to Enhance Instant Messaging and SMS Spam Filtering. Knowledge-Based Systems, Elsevier, 108(2016), 25-32, 2016. [pdf]
  • T.A. ALMEIDA and A. YAMAKAMI. Compression-Based Spam Filter. Security and Communication Networks, Wiley-Blackwell, 9(4), 327-335, 2016. [pdf]
  • T.C. ALBERTO, J. VON LOCHTER and T.A. ALMEIDA. Post or Block? Advances in Automatically Filtering Undesired Comments. Journal of Intelligent & Robotic Systems, 80, 245-259, Springer, 2015. [pdf]
  • L.A.M. ZAINA, T.A. ALMEIDA and G.M. TORRES. Can the online social networks be used as a learning tool? A case study in Twitter. Communications in Computer and Information Science, 446, 114-123, 2014. [pdf]
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. Machine Learning Methods for Spamdexing Detection. International Journal of Information Security Science, 2(3), 86-107, 2013. [pdf]
  • G.M. TORRES, L.A.M. ZAINA and T.A. ALMEIDA. An Analysis of Twitter as a Tool for Learning Support. Brazilian Journal of Applied Computing, 5(2), 85-95, 2013. [pdf]
  • T.A. ALMEIDA, J.M. GÓMEZ HIDALGO and T.P. SILVA. Towards SMS Spam Filtering: Results under a New Dataset. International Journal of Information Security Science, 2(1), 1-18, 2013. [pdf]
  • R.M. SILVA, A.G. VAZ, T.A. ALMEIDA and A. YAMAKAMI. Performance Evaluation of Machine Learning Approaches to Automatically Detect Spam Hosts. Brazilian Journal of Information Systems, 5(2012), 1-19, 2013. [pdf]
  • T.A. ALMEIDA and A. YAMAKAMI. Facing the Spammers: A Very Effective Approach to Avoid Junk E-mails. Expert Systems with Applications, Elsevier, 39(2012), 6557-6561, 2012. [pdf]
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. A Performance Evaluation of Artificial Neural Networks for Web Spam Filtering. Brazilian Journal of Applied Computing, 4(2), 42-57, 2012. [pdf]
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. Towards Web Spam Filtering with Neural-Based Approaches. Lecture Notes in Computer Science, Springer, 7637(2012), 199-209, 2012. [pdf]
  • T.A. ALMEIDA and A. YAMAKAMI. Occam’s Razor-Based Spam Filter. Journal of Internet Services and Applications, Springer, 3(3), 245-253, 2012. [pdf]
  • T.A. ALMEIDA, J. ALMEIDA and A. YAMAKAMI. Spam Filtering: How the Dimensionality Reduction Affects the Accuracy of Naive-Bayes Classifiers. Journal of Internet Services and Applications, 1(3), 183-200, 2011. [pdf]
  • T.A. ALMEIDA and A. YAMAKAMI. A Tutorial on Dimensionality Reduction Approaches in Spam Filtering. Brazilian Journal of Applied Computing, 3(1), 16-29, 2011. [pdf]
  • J. ALMEIDA, R. MINETTO, T.A. ALMEIDA, R. TORRES and N.J. LEITE. Robust Estimation of Camera Motion Using Optical Flow Models. Lecture Notes in Computer Science, Springer, 5879(2009), 435-446, 2009. [pdf]
  • P. BERBERT, L. FREITAS, T.A. ALMEIDA, M. CARVALHO and A. YAMAKAMI. Artificial Immune System to Find a Set of k-Spanning Trees with Low Costs and Distinct Topologies. Lecture Notes in Computer Science, Springer, 4628(2007), 396-406, 2007. [pdf]
  • T.A. ALMEIDA, A. YAMAKAMI and M.T. TAKAHASHI. Artificial Immune System to Solve the Minimum Spanning Tree Problem with Fuzzy Parameters. Brazilian Journal of Operational Research, 27(1), 131-154, 2007. [pdf]

Book Chapters

  • T.A. ALMEIDA and A. YAMAKAMI. Advances in Spam Filtering Techniques.Computational Intelligence for Privacy and Security. Book Series: Studies in Computational Intelligence, Springer Berlin/Heidelberg, v. 394, 199-214, ISBN 978-3-642-25236-5, 2012. [pdf]

Conferences

  • SALLA, J. V. E. ; MERGULHAO, R. C. ; ALMEIDA, T.A. ; SILVA, D. A. L. . Análise crítica da produção científica sobre a inteligência artificial e a avaliação do ciclo de vida de produtos. In: XXX Simpósio de Engenharia de Produção (SIMPEP’23), 2023, Bauru, SP, 1-17, 2023. [to appear]
  • J.M. ALMEIDA , G.A. CASTRO and T.A. ALMEIDA. An explainable model to support the decision about the therapy protocol for AML. Proceedings of the 12th Brazilian Conference on Intelligent Systems (BRACIS’23), Belo Horizonte, Brazil, September, 2023. [preprint, data, pdf]
  • P.R. PIRES and T.A. ALMEIDA. Interact2Vec: Neural item and user embedding for collaborative filtering. Proceedings of the 11th Brazilian Conference on Intelligent Systems (BRACIS’22), Campinas, Brazil, November, 2022. [pdf] *** THE BEST PAPER AWARD (1st place) ***
  • R.M. SILVA, J. VON LOCHTER, T.A. ALMEIDA, and A. YAMAKAMI. FastContext: handling out-of-vocabulary words using the word structure and context. Proceedings of the 11th Brazilian Conference on Intelligent Systems (BRACIS’22), Campinas, Brazil, November, 2022. [pdf]
  • P.R. PIRES, A.C. PASCON, and T.A. ALMEIDA. Time-Dependent Item Embeddings for Collaborative Filtering. Proceedings of the 10th Brazilian Conference on Intelligent Systems (BRACIS’21), LNAI 13074, 309-324, São Paulo, Brazil, November, 2021. [pdf]
  • R.M. SILVA, and T.A. ALMEIDA. How concept drift can impair the classification of fake news. Proceedings of the 9th Symposium on Knowledge Discovery, Mining and Learning (KDMiLe’21), 121-128, Rio de Janeiro, Brazil, October, 2021. [pdf, video] *** HONORABLE MENTION AWARD ***
  • J. VON LOCHTER, R.M. SILVA, and T.A. ALMEIDA. Deep Learning Models for Representing Out-of-Vocabulary Words. Proceedings of the 9th Brazilian Conference on Intelligent Systems (BRACIS’20), LNAI 12319,418-434, Rio Grande, Brazil, October, 2020. [pdf, preprint] *** HONORABLE MENTION AWARD ***
  • A.M.S. ALMEIDA NETO, H.M. CASELI, and T.A. ALMEIDA. Dense Captioning using Abstract Meaning Representation. Proceedings of the 9th Brazilian Conference on Intelligent Systems (BRACIS’20), LNAI 12319, 450-465, Rio Grande, Brazil, October, 2020. [pdf]
  • M.M. BITTENCOURT, R.M. SILVA and T.A. ALMEIDA. ML-MDLText: A Multilabel Text Categorization Technique with Incremental Learning. Proceedings of the 8th Brazilian Conference on Intelligent Systems (BRACIS’19), 580-585, Salvador, Brazil, October, 2019. [pdf] *** HONORABLE MENTION AWARD ***
  • R.M. SILVA, J. VON LOCHTER and T.A. ALMEIDA. Improving distributed vector representation of short and noisy texts in the context of online classification. Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’19), Salvador, Brazil, Outubro, 2019. [pdf]
  • W.A. SOUZA and T.A. ALMEIDA. Data Characterization for Electrical Load Disaggregation using Supervised Learning. Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’19), Salvador, Brazil, Outubro, 2019. [pdf]
  • J. VON LOCHTER, R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. Semantic indexing-based data augmentation for filtering undesired short text messages. Proceedings of the 17th IEEE International Conference on Machine Learning and Applications (ICMLA’18), 1034-1039, Orlando, FL, USA, December, 2018. [pdf]
  • R. MONTEIRO, R.L.S. SANTOS, T.A.S. PARDO, T.A. ALMEIDA, E. RUIZ and O. VALE. Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results. Proceedings of the 13rd International Conference on the Computational Processing of Portuguese (PROPOR’18), 324-334, Canela, Brazil, September, 2018. [pdf]
  • J. VON LOCHTER, P.R. PIRES, C.A. BOSSOLANI, A. YAMAKAMI and T.A. ALMEIDA. Evaluating the impact of corpora used to train distributed text representation models for noisy and short texts. Proceedings of the 31st IEEE International Joint Conference on Neural Networks (IJCNN’18), 315-322, Rio de Janeiro, Brazil, July, 2018. [pdf]
  • L.L. TAVARES, R.M. SILVA and T.A. ALMEIDA. Towards automatically creating large labeled datasets for training question domain classifiers. Proceedings of the 31st IEEE International Joint Conference on Neural Networks (IJCNN’18), 3395-3402, Rio de Janeiro, Brazil, July, 2018. [pdf]
  • R.M. SILVA, A.C. LORENA and T.A. ALMEIDA. Detecting the presence of meteors in images: new collection and results. Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’18), São Paulo, Brazil, October, 2018. [pdf] *** THE BEST PAPER AWARD (3rd place) ***
  • N.A. SOUZA, T.A. ALMEIDA and T.C. SAKATA. Aumentando o poder preditivo de classificadores lineares através de particionamento por classe. Anais do XIV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’17),  Uberlandia, Minas Gerais, Brazil, October, 2017. [pdf] *** THE BEST PAPER AWARD (5th place) ***
  • B.L. FREITAS, T.A. ALMEIDA and R.M. SILVA. Protótipo de um Método de Classificação por Descrição Mínima. Anais do XIV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’17),  Uberlandia, Minas Gerais, Brazil, October, 2017. [pdf]
  • L.L. TAVARES, R.M. SILVA and T.A. ALMEIDA. Rumo à integração de múltiplos QAs de domínio restrito: sistema de classificação de domínio através das perguntas. Anais do XIV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’17),  Uberlandia, Minas Gerais, Brazil, October, 2017. [pdf]
  • E.F. CARDOSO, T.A. ALMEIDA, and R.M. SILVA. Detecção Automática de Opiniões Falsas com base no Conteúdo das Mensagens. Anais do XIV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’17),  Uberlandia, Minas Gerais, Brazil, October, 2017. [pdf]
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. Towards Web Spam Filtering using a Classifier based on the Minimum Description Length Principle. Proceedings of the 15th IEEE International Conference on Machine Learning and Applications (ICMLA’16), 470-475, Anaheim, CA, USA, December, 2016. [pdf]
  • R.M SILVA, T.C. ALBERTO, T.A. ALMEIDA and A. YAMAKAMI. Filtrando Comentários do YouTube através de Classificação Online baseada no Princípio MDL e Indexação Semântica. Anais do XIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’16), Recife, Brazil, October, 2016. [pdf]
  • R.M SILVA, T.A. ALMEIDA and A. YAMAKAMI. Detecção Automática de SPIM e SMS Spam usando Método baseado no Princípio da Descrição mais Simples. Anais do XIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’16), Recife, Brazil, October, 2016. [pdf].
  • T.C. ALBERTO,  J. VON LOCHTER and T.A. ALMEIDA. TubeSpam: Comment Spam Filtering on YouTube. Proceedings of the 14th IEEE International Conference on Machine Learning and Applications (ICMLA’15), 138-143, Miami, FL, USA, December, 2015. [pdf]
  • D. FERNANDES, K.A.P. COSTA, T.A. ALMEIDA and J.P. PAPA. SMS Spam Filtering Through Optimum-path Forest-based Classifiers. Proceedings of the 14th IEEE International Conference on Machine Learning and Applications (ICMLA’15), 133-137, Miami, FL, USA, December, 2015. [pdf]
  • J. VON LOCHTER, R.F. ZANETTI and T.A. ALMEIDA. Detecção de Opinião em Mensagens Curtas usando Comitê de Classificadores e Indexação Semântica. Anais do XII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’15), Natal, Brazil, November, 2015. [pdf] *** THE BEST PAPER AWARD (1st place) ***
  • R.M. SILVA, A. YAMAKAMI and T.A. ALMEIDA. Quanto mais simples, melhor! Categorização de Textos baseada na Navalha de Occam. Anais do XII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’15), Natal, Brazil, November, 2015. [pdf]
  • T.C. ALBERTO,  J. VON LOCHTER and T.A. ALMEIDA. Filtragem Automática de Spam nos Comentários do YouTube. Anais do XII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’15), Natal, Brazil, November, 2015. [pdf]
  • T.C. LUZ, T.A. ALMEIDA and F.L. VERDI. Detecção de Novidades em Aparelhos Eletrônicos através do Monitoramento do Consumo de Energia. Anais do XII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’15), Natal, Brazil, November, 2015. [pdf]
  • T.P. SILVA, I. SANTOS, T.A. ALMEIDA and J.M. GOMEZ HIDALGO. Normalização Textual e Indexação Semântica Aplicadas na Filtragem de SMS Spam. Anais do XI Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’14), São Carlos, Brazil, October, 2014. [pdf] *** THE BEST PAPER AWARD (1st place)***
  • J.M. CAMPANHA, J. VON LOCHTER and T.A. ALMEIDA. Detecção Automática de Spammers em Redes Sociais. Anais do XI Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’14), São Carlos, Brazil, October, 2014. [pdf]
  • T.A. ALMEIDA and T.C. ALBERTO. Learning to Block Undesired Comments in the Blogosphere. Proceedings of the 12th IEEE International Conference on Machine Learning and Applications (ICMLA’13), Vol. 2, 261-266, Miami, FL, USA, December, 2013. [pdf]
  • T.C. ALBERTO and T.A. ALMEIDA. Aprendizado de Máquina Aplicado na Detecção Automática de Comentários Indesejados. Anais do X Encontro Nacional de Inteligência Artificial e Computacional (ENIAC’13), Fortaleza, Brazil, October, 2013. [pdf] *** THE BEST PAPER AWARD (3rd place) ***
  • A.G. VAZ and T.A. ALMEIDA. Contribuições ao Combate do Web Spamming: Análise de Atributos. Anais do 21o Congresso de Iniciação Científica – UFSCar (CIC’13), São Carlos, Brazil, October, 2013.
  • A.G. VAZ and T.A. ALMEIDA. Contribuições ao Combate do Web Spamming: Análise de Desempenho de Métodos. Anais do 20o Congresso de Iniciação Científica – UFSCar (CIC’13), São Carlos, Brazil, January, 2013.
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. An Analysis of Machine Learning Methods for Spam Host Detection. Proceedings of the 11th IEEE International Conference on Machine Learning and Applications (ICMLA’12), Vol. 2, 227-232, Boca Raton, FL, USA, December, 2012. [pdf] *** THE BEST PAPER AWARD (1st place) ***
  • J.M. GÓMEZ HIDALGO, T.A. ALMEIDA and A. YAMAKAMI. On the Validity of a New SMS Spam Collection. Proceedings of the 11th IEEE International Conference on Machine Learning and Applications (ICMLA’12), Vol. 2, 240-245, Boca Raton, FL, USA, December, 2012. [pdf, supplementary material]
  • T.C. SAKATA, K. FACELI, T.A. ALMEIDA, A. RIUL JUNIOR and W.M.D.M.F. STELUTI. The Assessment of the Quality of Sugar using Electronic Tongue and Machine Learning Algorithms. Proceedings of the 11th IEEE International Conference on Machine Learning and Applications (ICMLA’12), 538-541, Boca Raton, FL, USA, December, 2012. [pdf, supplementary material]
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. Artificial Neural Networks for Content-based Web Spam Detection. Proceedings of the 14th International Conference on Artificial Intelligence (ICAI’12), 209-215, Las Vegas, NV, USA, July, 2012. [pdf]
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. Análise de Métodos de Aprendizagem de Máquina para Detecção Automática de Spam Hosts. Anais do 12o Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg12), 1-14, Curitiba, Brazil, November, 2012. [pdf]
  • G.M. TORRES, L.A.M. ZAINA and T.A. ALMEIDA. Aprendizagem em Redes Sociais: Uma Análise de Dados do Twitter. IX Workshop de Iniciação Científica do Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia’12), 87-90, São Paulo, Brazil, October, 2012. [pdf]
  • R.M. SILVA, T.A. ALMEIDA and A. YAMAKAMI. Redes Neurais Artificiais para Detecção de Web Spams. Anais do 8o Simpósio Brasileiro de Sistemas de Informação (SBSI’12), 636-641, São Paulo, Brazil, May, 2012. [pdf]
  • T.A. ALMEIDA, J.M. GÓMEZ HIDALGO and A. YAMAKAMI. Contributions to the Study of SMS Spam Filtering: New Collection and Results. Proceedings of the 2011 ACM Symposium on Document Engineering (DOCENG’11), 259-262, Mountain View, CA, USA, September, 2011. [pdf, supplementary material]
  • T.A. ALMEIDA and A. YAMAKAMI. Content-Based Spam Filtering. Proceedings of the 23rd IEEE International Joint Conference on Neural Networks (IJCNN’10), 1-7, Barcelona, Spain, July, 2010. [pdf]
  • J. ALMEIDA, R. MINETTO, T.A. ALMEIDA, R. TORRES and N.J. LEITE. Estimation of Camera Parameters in Videos Sequences with a Large Amount of Scene Motion. Proceedings of the 17th International Conference on Systems, Signals and Image Processing (IWSSIP’10), 1-4, Rio de Janeiro, Brazil, June, 2010. [pdf]
  • T.A. ALMEIDA, J. ALMEIDA and A. YAMAKAMI. Filtering Spams using the Minimum Description Length Principle. Proceedings of the 25th ACM Symposium On Applied Computing (SAC’10), 1854-1858, Sierre, Switzerland, March, 2010. [pdf]
  • T.A. ALMEIDA, J. ALMEIDA and A. YAMAKAMI. Probabilistic Anti-Spam Filtering with Dimensionality Reduction. Proceedings of the 25th ACM Symposium On Applied Computing (SAC’10), 1802-1806, Sierre, Switzerland, March, 2010. [pdf]
  • T.A. ALMEIDA, J. ALMEIDA and A. YAMAKAMI. Evaluation of Approaches for Dimensionality Reduction Applied with Naive Bayes Anti-Spam Filters. Proceedings of the 8th IEEE International Conference on Machine Learning and Applications (ICMLA’09), 517-522, Miami, FL, USA, December, 2009. [pdf]
  • T.A. ALMEIDA, C.H. DIAS, J. ALMEIDA, R.C. SILVA and A. YAMAKAMI. Sistema Imunológico Artificial Aplicado ao Problema Generalizado de Atribuição. Anais do 41o Simpósio Brasileiro de Pesquisa Operacional (SBPO’09),1-12, Porto Seguro, Brazil, September, 2009. [pdf]
  • T.A. ALMEIDA and R.C. SILVA. Programação Multi-objetivo Irrestrita com Incertezas. Anais do 41o Simpósio Brasileiro de Pesquisa Operacional (SBPO’09), 2994-3005, Porto Seguro, Brazil, September, 2009. [pdf]
  • T.A. ALMEIDA and A. YAMAKAMI. Immune-Inspired Algorithm to Find the Set of k-Spanning Trees with Lowest Costs in Graphs with Fuzzy Parameters. Proceedings of the 27th North American Fuzzy Information Processing Society’s Conference (NAFIPS’08), 1-6, New York, NY, USA, May, 2008. [pdf]
  • T.A. ALMEIDA and A. YAMAKAMI. An Evolutionary Approach to Find the k-Spanning Trees with Lowest Costs in Graphs with Fuzzy Parameters. Proceedings of the 10th International Joint Conference on Information Sciences (JCIS’07). World Scientific Publishing, v. 1, 1292-1298, Salt Lake City, UT, USA, July, 2007. [pdf]
  • T.A. ALMEIDA, A. YAMAKAMI and M.T. TAKAHASHI. An Evolutionary Approach to Solve Minimum Spanning Tree Problem with Fuzzy Parameters. Proceedings of the 3rd International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA’05), v. 2, 203-208, Vienna, Austria, November, 2005. [pdf]
  • T.A. ALMEIDA, F.M.S. PRADO, V.N. SOUSA, M.T. TAKAHASHI and A. YAMAKAMI. A Genetic Algorithm to Solve the Minimum Spanning Tree Problem with Fuzzy Parameters Using Possibility Measure. Proceedings of the 24th North American Fuzzy Information Processing Society’s Conference (NAFIPS’05), 627-632, Ann Arbor, MI, USA, June, 2005. [pdf]

Technical Reports

  • J. ALMEIDA, R. MINETTO, T.A. ALMEIDA, R. TORRES and N.J. LEITE. Robust Estimation of Camera Motion using Local Invariant Features. Technical Report IC-09-12, April, 2009. [pdf]
  • J. ALMEIDA, R. MINETTO, T.A. ALMEIDA, R. TORRES and N.J. LEITE. Robust Estimation of Camera Motion using Optical Flow Models. Technical Report IC-09-24 , July, 2009. [pdf]

Patents

  • T.A. ALMEIDA and A. YAMAKAMI. Automatic Spam Filtering Approach. Patent Cooperation Treaty (PCT). USA, 2011. (Restricted Access)
  • T.A. ALMEIDA and A. YAMAKAMI. Automatic Spam Filtering Approach. Brazilian Institute of Industrial Property (INPI). Brazil, 2010. (Restricted Access)