César Lincoln C. Mattos

29 papers A* 3A 2B 2C 3Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Portfolio-based Active Learning with Gaussian Processes for Vulnerabilities Risk Classification. J. Braz. Comput. Soc. Davyson S. Ribeiro, Rafael S. Lemos, Francisco R. P. da Ponte, César Lincoln C. Mattos, Emanuel Bezerra Rodrigues
2025	J	`jnl`	Boosted GFlowNets: Improving Exploration via Sequential Learning. CoRR Pedro Dall'Antonia, Tiago da Silva, Daniel Augusto de Souza, César Lincoln C. Mattos, Diego Mesquita
2025	—	`conf`	Evaluation of Explainable Artificial Intelligence Methods for Deep Time Series Classification of Biosignals. BRACIS (1) Diego R. de Sá, César Lincoln C. Mattos, Regis Pires Magalhães
2025	—	`conf`	Interpretability of Machine Learning Models for Cardiac Arrhythmia Classification. SBSI Bruno Torres Marques, Regis Pires Magalhães, Lívia Almada Cruz, João Paulo do Vale Madeiro, César Lincoln C. Mattos, José A. F. de Macêdo
2024	A*	`conf`	Amortized Variational Deep Kernel Learning. ICML Alan L. S. Matias, César Lincoln C. Mattos, João Paulo Pordeus Gomes, Diego Mesquita
2024	J	`jnl`	Bayesian ART for incomplete datasets. Appl. Soft Comput. Alan L. S. Matias, João Paulo Pordeus Gomes, César Lincoln C. Mattos, Ajalmar R. da Rocha Neto, Diego Mesquita
2023	J	`jnl`	Thin and Deep Gaussian Processes. CoRR Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João P. P. Gomes, Diego Mesquita, César Lincoln C. Mattos
2023	A*	`conf`	Thin and deep Gaussian processes. NeurIPS Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João Paulo Pordeus Gomes, Diego Mesquita, César Lincoln C. Mattos
2022	A	`conf`	Bayesian Analysis of Bug-Fixing Time using Report Data. ESEM Renan Gomes Vieira, Diego Mesquita, César Lincoln C. Mattos, Ricardo Britto, Lincoln S. Rocha, João Gomes
2022	J	`jnl`	The role of bug report evolution in reliable fixing estimation. Empir. Softw. Eng. Renan Gomes Vieira, César Lincoln C. Mattos, Lincoln S. Rocha, João Paulo Pordeus Gomes, Matheus Paixão
2021	—	`conf`	A Practical Guide to Support Predictive Tasks in Data Science. ICEIS (1) José Augusto Câmara Filho, José Maria Monteiro, César Lincoln C. Mattos, Juvêncio Santos Nobre
2021	J	`jnl`	A novel fuzzy ARTMAP with area of influence. Neurocomputing Alan L. S. Matias, Ajalmar R. da Rocha Neto, César Lincoln C. Mattos, João Paulo Pordeus Gomes
2021	—	`conf`	FakeWhastApp.BR: NLP and Machine Learning Techniques for Misinformation Detection in Brazilian Portuguese WhatsApp Messages. ICEIS (1) Lucas Cabral, José Maria Monteiro, José Wellington Franco da Silva, César Lincoln C. Mattos, Pedro Jorge Chaves Mourão
2021	A	`conf`	Learning GPLVM with arbitrary kernels using the unscented transformation. AISTATS Daniel Augusto de Souza, Diego Mesquita, João Paulo Pordeus Gomes, César Lincoln C. Mattos
2020	B	`conf`	A New Methodology for Classifying QRS Morphology in ECG Signals. IJCNN Weslley L. Caldas, João P. V. Madeiro, César Lincoln C. Mattos, João Paulo Pordeus Gomes
2020	J	`jnl`	A sparse linear regression model for incomplete datasets. Pattern Anal. Appl. Marcelo B. A. Veras, Diego P. P. Mesquita, César Lincoln C. Mattos, João P. P. Gomes
2020	B	`conf`	Anomaly Detection in Trajectory Data with Normalizing Flows. IJCNN Madson L. D. Dias, César Lincoln C. Mattos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington C. P. Silva
2020	J	`jnl`	Anomaly Detection in Trajectory Data with Normalizing Flows. CoRR Madson Luiz Dantas Dias, César Lincoln C. Mattos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington C. P. Silva
2019	J	`jnl`	A stochastic variational framework for Recurrent Gaussian Processes models. Neural Networks César Lincoln C. Mattos, Guilherme A. Barreto
2019	J	`jnl`	Unscented Gaussian Process Latent Variable Model: learning from uncertain inputs with intractable kernels. CoRR Daniel Augusto R. M. A. de Souza, César Lincoln C. Mattos, João Paulo Pordeus Gomes
2017	—	`conf`	Metaheuristic optimization for automatic clustering of customer-oriented supply chain data. WSOM César Lincoln C. Mattos, Guilherme A. Barreto, Dennis Horstkemper, Bernd Hellingrath
2017	—	`conf`	Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison. IWANN (1) César Lincoln C. Mattos, Guilherme A. Barreto, Gonzalo Acuña
2016	A*	`conf`	Recurrent Gaussian Processes. ICLR (Poster) César Lincoln C. Mattos, Zhenwen Dai, Andreas C. Damianou, Jeremy Forth, Guilherme A. Barreto, Neil D. Lawrence
2015	C	`conf`	An Empirical Evaluation of Robust Gaussian Process Models for System Identification. IDEAL César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto
2015	—	`conf`	Performance Evaluation of Least Squares SVR in Robust Dynamical System Identification. IWANN (2) José Daniel A. Santos, César Lincoln C. Mattos, Guilherme A. Barreto
2014	C	`conf`	A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification. IDEAL José Daniel A. Santos, César Lincoln C. Mattos, Guilherme De A. Barreto
2014	J	`jnl`	An improved hybrid particle swarm optimization algorithm applied to economic modeling of radio resource allocation. Electron. Commer. Res. César Lincoln C. Mattos, Guilherme A. Barreto, Francisco Rodrigo P. Cavalcanti
2014	C	`conf`	Improved Adaline Networks for Robust Pattern Classification. ICANN César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto
2013	J	`jnl`	ARTIE and MUSCLE models: building ensemble classifiers from fuzzy ART and SOM networks. Neural Comput. Appl. César Lincoln C. Mattos, Guilherme A. Barreto