Decision Tree-Based Paraconsistent Learning. - Fabrício Enembreck; Bráulio Coelho Ávila; Robert Sabourin (SCCC, 1999)

Personal Assitant to improve CSCW. - Fabrício Enembreck; Jean-Paul A. Barthès (CSCWD, 2002)

Agents for Collaborative Filtering. - Fabrício Enembreck; Jean-Paul A. Barthès (CIA, 2003)

Architecture of a dialog system with an assistant agent. - Fabrício Enembreck; Jean-Paul A. Barthès (IHM, 2003)

Multi-agent based internet search. - Fabrício Enembreck; Jean-Paul A. Barthès (CE, 2003)

Improving Computer Supported Cooperative Design with Personal Assistant Agents. - Fabrício Enembreck; Jean-Paul A. Barthès (Trans. SDPS, 2003)

Architecture d'un système de dialogue pour la coopération homme/SMA. - Jean-Paul A. Barthès; Fabrício Enembreck (Tech. Sci. Informatiques, 2003)

Personalizing Information Retrieval with Multi-agent Systems. - Fabrício Enembreck; Jean-Paul A. Barthès; Bráulio Coelho Ávila (CIA, 2004)

Conceptual Information Retrieval. - Emerson L. dos Santos; Fabiano M. Hasegawa; Bráulio Coelho Ávila; Fabrício Enembreck (ISSADS, 2004)

Dialog with a Personal Assistant. - Fabrício Enembreck; Jean-Paul A. Barthès (SBIA, 2004)

MAIS Un système multi-agents pour la recherche d'information sur le web. - Fabrício Enembreck; Jean-Paul A. Barthès (Document Numérique, 2004)

Perception of Centers of Interest. - Cesar Augusto Tacla; Fabrício Enembreck (CSCWD (Selected papers), 2005)

An awareness mechanism for enhancing cooperation in design teams. - Cesar Augusto Tacla; Fabrício Enembreck (CSCWD (2), 2005)

Personalization in Multi-Agent Systems. - Fabrício Enembreck; Jean-Paul A. Barthès (IAT, 2005)

ELA-A new Approach for Learning Agents. - Fabrício Enembreck; Jean-Paul A. Barthès (Auton. Agents Multi Agent Syst., 2005)

Automatic Identification of Teams Based on Textual Information Retrieval. - Fabrício Enembreck; Edson Emílio Scalabrin; Cesar Augusto Tacla; Bráulio Coelho Ávila (CSCWD, 2006)

Automatic Identification of Teams in R and D. - Fabrício Enembreck; Edson Emílio Scalabrin; Cesar Augusto Tacla; Bráulio Coelho Ávila (CSCWD (Selected Papers), 2006)

Evaluating Expertise in Collaborative Educational Environments. - Jaime Wojciechowski; Bráulio Coelho Ávila; Fabrício Enembreck; Edson Emílio Scalabrin (CSCWD, 2006)

Multiagent-Based Model Integration. - Ana Carolina M. Pilatti de Paula; Bráulio Coelho Ávila; Edson Emílio Scalabrin; Fabrício Enembreck (IAT Workshops, 2006)

Comparing Meta-learning Algorithms. - Fabrício Enembreck; Bráulio Coelho Ávila (IBERAMIA-SBIA, 2006)

A Hybrid Learning Strategy for Discovery of Policies of Action. - Richardson Ribeiro; Fabrício Enembreck; Alessandro L. Koerich (IBERAMIA-SBIA, 2006)

KNOMA: A New Approach for Knowledge Integration. - Fabrício Enembreck; Bráulio Coelho Ávila (ISCC, 2006)

Using Distributed Data Mining and Distributed Artificial Intelligence for Knowledge Integration. - Ana Carolina M. Pilatti de Paula; Bráulio Coelho Ávila; Edson Emílio Scalabrin; Fabrício Enembreck (CIA, 2007)

Noise Tolerance in Reinforcement Learning Algorithms. - Richardson Ribeiro; Alessandro L. Koerich; Fabrício Enembreck (IAT, 2007)

WEB Image Classification Based on the Fusion of Image and Text Classifiers. - Pedro R. Kalva; Fabrício Enembreck; Alessandro L. Koerich (ICDAR, 2007)

Learning Drifting Negotiations. - Fabrício Enembreck; Bráulio Coelho Ávila; Edson Emílio Scalabrin; Jean-Paul A. Barthès (Appl. Artif. Intell., 2007)

Interaction Models for Multiagent Reinforcement Learning. - Richardson Ribeiro; André Pinz Borges; Fabrício Enembreck (CIMCA/IAWTIC/ISE, 2008)

Improving bilateral negotiation with evolutionary learning. - Emerson Romanhuki; Márcio Fuckner; Fabrício Enembreck; Bráulio Coelho Ávila; Edson Emílio Scalabrin (CSCWD, 2008)

A learning agent to help drive vehicles. - André Pinz Borges; Richardson Ribeiro; Bráulio Coelho Ávila; Fabrício Enembreck; Edson Emílio Scalabrin (CSCWD, 2009)

Encrypted certified trust in multi-agent system. - Vanderson Botelho; Fabrício Enembreck; Bráulio Coelho Ávila; Hilton de Azevedo; Edson Emílio Scalabrin (CSCWD, 2009)

Distributed Constraint Optimization for scheduling in CSCWD. - Fabrício Enembreck; Edson Emílio Scalabrin; Bráulio Coelho Ávila; Jean-Paul A. Barthès (CSCWD, 2009)

Railroad Driving Model Based on Distributed Constraint Optimization. - Allan Rodrigo Leite; Bruno Giacomet; Fabrício Enembreck (IAT, 2009)

A Strategy for Converging Dynamic Action Policies. - Richardson Ribeiro; André Pinz Borges; Alessandro L. Koerich; Edson Emílio Scalabrin; Fabrício Enembreck (IEEE IA, 2009)

Certified Trust Model. - Vanderson Botelho; Fabrício Enembreck; Bráulio Coelho Ávila; Hilton de Azevedo; Edson Emílio Scalabrin (AIAI, 2009)

Automatic Knowledge Discovery and Case Management: an Effective Way to Use Databases to Enhance Health Care Management. - Luciana S. G. Kobus; Fabrício Enembreck; Edson Emílio Scalabrin; João da Silva Dias; Sandra Honorato da Silva (AIAI, 2009)

Learning Negotiation Policies Using Ensemble-Based Drift Detection Techniques. - Fabrício Enembreck; Cesar Augusto Tacla; Jean-Paul A. Barthès (Int. J. Artif. Intell. Tools, 2009)

Detecting Drifts in Multi-Issue Negotiations. - Gislaine M. Nalepa; Bráulio Coelho Ávila; Fabrício Enembreck; Edson Emílio Scalabrin (IBERAMIA, 2010)

Learning Negotiation Policies Using IB3 and Bayesian Networks. - Gislaine M. Nalepa; Bráulio Coelho Ávila; Fabrício Enembreck; Edson Emílio Scalabrin (IDEAL, 2010)

Improving the Distributed Constraint Optimization Using Social Network Analysis. - Allan Rodrigo Leite; André Pinz Borges; Laércio Martins Carpes; Fabrício Enembreck (SBIA, 2010)

Planning transport of crude oil derivatives with simultaneous auctions. - Roni F. Banaszewski; Cesar Augusto Tacla; Fernando R. Pereira; Lúcia V. R. Arruda; Fabrício Enembreck (SMC, 2010)

Estratégias de Atualização de Políticas para a Coordenação de Agentes Baseados em Enxames. - Richardson Ribeiro; Fabrício Enembreck (RITA, 2010)

Knowledge discovery applied in modal rail. - André Pinz Borges; Jones Granatyr; Osmar Betazzi Dordal; Richardson Ribeiro; Bráulio Coelho Ávila; Fabrício Enembreck; Edson Emílio Scalabrin (CSCWD, 2011)

Towards an optimal driving trains in single line using crossing loops. - Osmar Betazzi Dordal; André Pinz Borges; Richardson Ribeiro; Fabrício Enembreck; Edson Emílio Scalabrin; Bráulio Coelho Ávila (CSCWD, 2011)

On Optimal Distributed Channel Allocation for Access Points in WLANs. - Tânia L. Monteiro; Marcelo Eduardo Pellenz; Manoel Camillo Penna; Fabrício Enembreck; Richard Demo Souza (Networking Workshops, 2011)

Strong reduction in fuel consumption driving trains in bi-directional single line using crossing loops. - Osmar Betazzi Dordal; André Pinz Borges; Richardson Ribeiro; Fabrício Enembreck; Edson Emílio Scalabrin; Bráulio Coelho Ávila (SMC, 2011)

Using asymmetric keys in a certified trust model for multiagent systems. - Vanderson Botelho; Fabrício Enembreck; Bráulio Coelho Ávila; Hilton de Azevedo; Edson Emílio Scalabrin (Expert Syst. Appl., 2011)

Combinando Modelos de Interação para Melhorar a Coordenação em Sistemas Multiagente. - Richardson Ribeiro; André Pinz Borges; Adriano Francisco Ronszcka; Edson Emílio Scalabrin; Bráulio Coelho Ávila; Fabrício Enembreck (RITA, 2011)

An architecture of BDI agent for autonomous locomotives controller. - Marcos R. da Silva; André Pinz Borges; Osmar Betazzi Dordal; Denise Maria Vecino Sato; Bráulio Coelho Ávila; Fabrício Enembreck; Edson Emílio Scalabrin (CSCWD, 2012)

Unified Algorithm to Improve Reinforcement Learning in Dynamic Environments - An Instance-based Approach. - Richardson Ribeiro; Fábio Favarim; Marco A. C. Barbosa; André Pinz Borges; Osmar Betazzi Dordal; Alessandro L. Koerich; Fabrício Enembreck (ICEIS (1), 2012)

Combining Learning Algorithms: An Approach to Markov Decision Processes. - Richardson Ribeiro; Fábio Favarim; Marco A. C. Barbosa; Alessandro L. Koerich; Fabrício Enembreck (ICEIS, 2012)

An intelligent system for driving trains using Case-Based Reasoning. - André Pinz Borges; Osmar Betazzi Dordal; Denise Maria Vecino Sato; Bráulio Coelho Ávila; Fabrício Enembreck; Edson Emílio Scalabrin (SMC, 2012)

Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling. - Fabrício Enembreck; Jean-Paul André Barthès (J. Netw. Comput. Appl., 2012)

SAE: Social Adaptive Ensemble classifier for data streams. - Heitor Murilo Gomes; Fabrício Enembreck (CIDM, 2013)

Coordinating Agents in Dynamic Environment. - Richardson Ribeiro; Adriano F. Ronszcka; Marco A. C. Barbosa; Fabrício Enembreck (ICEIS, 2013)

Updating Strategies of Policies for Coordinating Agent Swarm in Dynamic Environments. - Richardson Ribeiro; Adriano F. Ronszcka; Marco A. C. Barbosa; Fábio Favarim; Fabrício Enembreck (ICEIS (1), 2013)

An Intelligent System for train overtaking using distributed coordination. - Osmar Betazzi Dordal; André Pinz Borges; Denise Maria Vecino Sato; Fabrício Enembreck; Edson Emílio Scalabrin; Bráulio Coelho Ávila (IECON, 2013)

A social approach for learning agents. - Fabrício Enembreck; Jean-Paul André Barthès (Expert Syst. Appl., 2013)

A sociologically inspired heuristic for optimization algorithms: A case study on ant systems. - Richardson Ribeiro; Fabrício Enembreck (Expert Syst. Appl., 2013)

Multi-phase negotiation for single-item bidding. - Alberto Ayres Benicio; Ayslan Trevizan Possebom; Bráulio Coelho Ávila; Fabrício Enembreck; Edson Emílio Scalabrin (CSCWD, 2014)

A multi-layer architecture proposal for conducting trains employing CBR. - André Pinz Borges; Osmar Betazzi Dordal; Denise Maria Vecino Sato; Bráulio Coelho Ávila; Fabrício Enembreck; Edson Emílio Scalabrin; Richardson Ribeiro (CSCWD, 2014)

SFNClassifier: a scale-free social network method to handle concept drift. - Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck (SAC, 2014)

SAE2: advances on the social adaptive ensemble classifier for data streams. - Heitor Murilo Gomes; Fabrício Enembreck (SAC, 2014)

Distributed Constraint Optimization Problems: Review and perspectives. - Allan Rodrigo Leite; Fabrício Enembreck; Jean-Paul A. Barthès (Expert Syst. Appl., 2014)

A modeling architecture for the orchestration of service components in factory automation. - Marcelo Teixeira; Richardson Ribeiro; Marco A. C. Barbosa; Fabrício Enembreck; Ricardo Massa Ferreira Lima (ETFA, 2015)

A Centroid-based Approach for Hierarchical Classification. - Mauri Ferrandin; Fabrício Enembreck; Júlio César Nievola; Edson Emílio Scalabrin; Bráulio Coelho Ávila (ICEIS (1), 2015)

A Learning Model for Intelligent Agents Applied to Poultry Farming. - Richardson Ribeiro; Marcelo Teixeira; André L. Wirth; André Pinz Borges; Fabrício Enembreck (ICEIS (1), 2015)

Applying Ensemble-based Online Learning Techniques on Crime Forecasting. - Anderson José de Souza; André Pinz Borges; Heitor Murilo Gomes; Jean Paul Barddal; Fabrício Enembreck (ICEIS (1), 2015)

Analyzing the Impact of Feature Drifts in Streaming Learning. - Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck (ICONIP (1), 2015)

A Complex Network-Based Anytime Data Stream Clustering Algorithm. - Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck (ICONIP (1), 2015)

A Survey on Feature Drift Adaptation. - Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck (ICTAI, 2015)

SNCStream: a social network-based data stream clustering algorithm. - Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck (SAC, 2015)

Efficient approach for reusing and sharing train driving plans using case-based reasoning. - André Pinz Borges; Osmar Betazzi Dordal; Denise Maria Vecino Sato; Fabrício Enembreck; Bráulio Coelho Ávila; Edson Emílio Scalabrin (SAC, 2015)

Pairwise combination of classifiers for ensemble learning on data streams. - Heitor Murilo Gomes; Jean Paul Barddal; Fabrício Enembreck (SAC, 2015)

Trust and Reputation Models for Multiagent Systems. - Jones Granatyr; Vanderson Botelho; Otto Robert Lessing; Edson Emílio Scalabrin; Jean-Paul A. Barthès; Fabrício Enembreck (ACM Comput. Surv., 2015)

Advances on Concept Drift Detection in Regression Tasks Using Social Networks Theory. - Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck (Int. J. Nat. Comput. Res., 2015)

Evaluating the Impact of Reputation-Based Agents in Social Coalition Formation. - Cristina Verçosa Pérez Barrios de Souza; Fabrício Enembreck (BRACIS, 2016)

Reinforcement Learning with Multiple Shared Rewards. - Douglas M. Guisi; Richardson Ribeiro; Marcelo Teixeira; André Pinz Borges; Fabrício Enembreck (ICCS, 2016)

Resources Planning in Database Infrastructures. - Eden R. Dosciatti; Marcelo Teixeira; Richardson Ribeiro; Marco A. C. Barbosa; Fábio Favarim; Fabrício Enembreck; Dieky Adzkiya (ICEIS (1), 2016)

A Hybrid Interaction Model for Multi-Agent Reinforcement Learning. - Douglas M. Guisi; Richardson Ribeiro; Marcelo Teixeira; André Pinz Borges; Eden R. Dosciatti; Fabrício Enembreck (ICEIS (2), 2016)

Combination of Interaction Models for Multi-Agents Systems. - Richardson Ribeiro; Douglas M. Guisi; Marcelo Teixeira; Eden R. Dosciatti; André Pinz Borges; Fabrício Enembreck (ICEIS (Revised Selected Papers), 2016)

A benchmark of classifiers on feature drifting data streams. - Jean Paul Barddal; Heitor Murilo Gomes; Alceu de Souza Britto Jr.; Fabrício Enembreck (ICPR, 2016)

Overcoming feature drifts via dynamic feature weighted k-nearest neighbor learning. - Jean Paul Barddal; Heitor Murilo Gomes; Jones Granatyr; Alceu de Souza Britto Jr.; Fabrício Enembreck (ICPR, 2016)

Contribution of data complexity features on dynamic classifier selection. - Andre L. Brun; Alceu S. Britto Jr.; Luiz S. Oliveira; Fabrício Enembreck; Robert Sabourin (IJCNN, 2016)

Towards emotion-based reputation guessing learning agents. - Jones Granatyr; Jean Paul Barddal; Adriano Weihmayer Almeida; Fabrício Enembreck; Adaiane Pereira dos Santos Granatyr (IJCNN, 2016)

On Dynamic Feature Weighting for Feature Drifting Data Streams. - Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck; Bernhard Pfahringer; Albert Bifet (ECML/PKDD (2), 2016)

A scalable multiagent approach for channel assignment in wireless networks. - Tânia L. Monteiro; Marcelo Eduardo Pellenz; Edgard Jamhour; Manoel Camillo Penna; Fabrício Enembreck; Richard Demo Souza (SAC, 2016)

Dynamic Model for Social Coalition Formation Based on Expertise, Temporal Reputation and Time Commitment. - Cristina Verçosa Pérez Barrios de Souza; Fabrício Enembreck (WI, 2016)

SNCStream+: Extending a high quality true anytime data stream clustering algorithm. - Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck; Jean-Paul A. Barthès (Inf. Syst., 2016)

An Advanced Software Tool to Simulate Service Restoration Problems: a case study on Power Distribution Systems. - Richardson Ribeiro; Fabrício Enembreck; Douglas M. Guisi; Dalcimar Casanova; Marcelo Teixeira; Fausto A. de Souza; André Pinz Borges (ICCS, 2017)

Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques. - Luis Eduardo Boiko Ferreira; Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck (ICTAI, 2017)

An investigation of the hoeffding adaptive tree for the problem of network intrusion detection. - Diego Guarnieri Correa; Fabrício Enembreck; Carlos N. Silla (IJCNN, 2017)

A two-step cascade classification method. - Eunelson Jose da Silva Junior; Alceu S. Britto Jr.; Luiz S. Oliveira; Fabrício Enembreck; Robert Sabourin; Alessandro L. Koerich (IJCNN, 2017)

A Survey on Ensemble Learning for Data Stream Classification. - Heitor Murilo Gomes; Jean Paul Barddal; Fabrício Enembreck; Albert Bifet (ACM Comput. Surv., 2017)

The Need for Affective Trust Applied to Trust and Reputation Models. - Jones Granatyr; Nardine Osman 001; João Miguel Dias; Maria Augusta Silveira Netto Nunes; Judith Masthoff; Fabrício Enembreck; Otto Robert Lessing; Carles Sierra; Ana Paiva 001; Edson Emílio Scalabrin (ACM Comput. Surv., 2017)

A survey on feature drift adaptation: Definition, benchmark, challenges and future directions. - Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck; Bernhard Pfahringer (J. Syst. Softw., 2017)

Adaptive random forests for evolving data stream classification. - Heitor Murilo Gomes; Albert Bifet; Jesse Read; Jean Paul Barddal; Fabrício Enembreck; Bernhard Pfahringer; Geoff Holmes 001; Talel Abdessalem (Mach. Learn., 2017)

Fusion of Classifiers Based on Centrality Measures. - Ronan Assumpção Silva; Alceu S. Britto Jr.; Fabrício Enembreck; Robert Sabourin; Luis S. Oliveira (ICTAI, 2018)

An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases. - Luis Eduardo Boiko Ferreira; Jean Paul Barddal; Fabrício Enembreck; Heitor Murilo Gomes (IJCNN, 2018)

A framework for dynamic classifier selection oriented by the classification problem difficulty. - Andre L. Brun; Alceu S. Britto Jr.; Luiz S. Oliveira; Fabrício Enembreck; Robert Sabourin (Pattern Recognit., 2018)

Evaluating Incomplete DCOP Algorithms On Large-Scale Problems. - Allan Rodrigo Leite; Fabrício Enembreck (IJCNN, 2019)

Learning regularized hoeffding trees from data streams. - Jean Paul Barddal; Fabrício Enembreck (SAC, 2019)

Generating action plans for poultry management using artificial neural networks. - Richardson Ribeiro; Dalcimar Casanova; Marcelo Teixeira; André L. Wirth; Heitor Murilo Gomes; André Pinz Borges; Fabrício Enembreck (Comput. Electron. Agric., 2019)

Merit-guided dynamic feature selection filter for data streams. - Jean Paul Barddal; Fabrício Enembreck; Heitor Murilo Gomes; Albert Bifet; Bernhard Pfahringer (Expert Syst. Appl., 2019)

Boosting decision stumps for dynamic feature selection on data streams. - Jean Paul Barddal; Fabrício Enembreck; Heitor Murilo Gomes; Albert Bifet; Bernhard Pfahringer (Inf. Syst., 2019)

Using Collective Behavior of Coupled Oscillators for Solving DCOP. - Allan Rodrigo Leite; Fabrício Enembreck (J. Artif. Intell. Res., 2019)

Correction to: Adaptive random forests for evolving data stream classification. - Heitor Murilo Gomes; Albert Bifet; Jesse Read; Jean Paul Barddal; Fabrício Enembreck; Bernhard Pfahringer; Geoff Holmes 001; Talel Abdessalem (Mach. Learn., 2019)

Cost-sensitive learning for imbalanced data streams. - Lucas Loezer; Fabrício Enembreck; Jean Paul Barddal; Alceu de Souza Britto Jr. (SAC, 2020)

Combining Slow and Fast Learning for Improved Credit Scoring. - Jean Paul Barddal; Fabrício Enembreck; Lucas Loezer; Riccardo Lanzuolo (SMC, 2020)

Text-Based Automatic Personality Recognition: a Projective Approach. - Ricardo Stegh Camati; Fabrício Enembreck (SMC, 2020)

ADADRIFT: An Adaptive Learning Technique for Long-history Stream-based Recommender Systems. - Eduardo Ferreira José; Fabrício Enembreck; Jean Paul Barddal (SMC, 2020)

Improving Multiple Time Series Forecasting with Data Stream Mining Algorithms. - Marcos Alberto Mochinski; Jean Paul Barddal; Fabrício Enembreck (SMC, 2020)

Regularized and incremental decision trees for data streams. - Jean Paul Barddal; Fabrício Enembreck (Ann. des Télécommunications, 2020)

CSBF: A static ensemble fusion method based on the centrality score of complex networks. - Ronan Assumpção Silva; Alceu de Souza Britto Jr.; Fabrício Enembreck; Robert Sabourin; Luiz Eduardo Soares de Oliveira (Comput. Intell., 2020)

Estimating action plans for smart poultry houses. - Darlan Felipe Klotz; Richardson Ribeiro; Fabrício Enembreck; Gustavo Weber Denardin; Marco A. C. Barbosa; Dalcimar Casanova; Marcelo Teixeira (CoRR, 2020)

Lessons learned from data stream classification applied to credit scoring. - Jean Paul Barddal; Lucas Loezer; Fabrício Enembreck; Riccardo Lanzuolo (Expert Syst. Appl., 2020)

Selecting and Combining Classifiers Based on Centrality Measures. - Ronan Assumpção Silva; Alceu S. Britto Jr.; Fabrício Enembreck; Robert Sabourin; Luiz S. Oliveira (Int. J. Artif. Intell. Tools, 2020)

Using the Projective Themathic Apperception Test for Automatic Personality Recognition in Texts. - Ricardo Stegh Camati; Alessandro A. Scaduto; Fabrício Enembreck (SMC, 2021)

A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start. - Antônio David Viniski; Jean Paul Barddal; Alceu de Souza Britto Jr.; Fabrício Enembreck; Humberto Vinicius Aparecido de Campos (Expert Syst. Appl., 2021)

Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence. - Marcos Alberto Mochinski; Jean Paul Barddal; Fabrício Enembreck (ICAART (2), 2022)

Estimating and tuning adaptive action plans for the control of smart interconnected poultry condominiums. - Darlan Felipe Klotz; Richardson Ribeiro; Fabrício Enembreck; Gustavo Weber Denardin; Marco A. C. Barbosa; Dalcimar Casanova; Marcelo Teixeira (Expert Syst. Appl., 2022)

Towards an Efficient Method for Large-Scale Wi-SUN-Enabled AMI Network Planning. - Marcos Alberto Mochinski; Marina Luísa de Souza Carrasco Vieira; Mauricio Biczkowski; Ivan Chueiri; Edgard Jamhour; Voldi Costa Zambenedetti; Marcelo Eduardo Pellenz; Fabrício Enembreck (Sensors, 2022)

Mass-Based Short Term Selection of Classifiers in Data Streams. - Daniel Nowak Assis; Fabrício Enembreck; Jean Paul Barddal (IJCNN, 2023)

Adaptive Linear Regression for Data Stream. - Aldo Marcelo Paim; Fabrício Enembreck (IJCNN, 2023)

Just Change on Change: Adaptive Splitting Time for Decision Trees in Data Stream Classification. - Daniel Nowak Assis; Jean Paul Barddal; Fabrício Enembreck (SAC, 2024)

Satellite Imagery-Assisted Link-Budget Analysis Algorithm for Smart Grid Wireless Backhaul Network Planning. - Marina Luísa de Souza Carrasco Vieira; Marina De Lara; Marcelo Eduardo Pellenz; Mauricio Biczkowski; Marcos Alberto Mochinski; Fabrício Enembreck; Edgard Jamhour; Voldi Costa Zambenedetti (SAC, 2024)

Adaptive regularized ensemble for evolving data stream classification. - Aldo Marcelo Paim; Fabrício Enembreck (Pattern Recognit. Lett., 2024)

Developing an Intelligent Decision Support System for large-scale smart grid communication network planning. - Marcos Alberto Mochinski; Mauricio Biczkowski; Ivan Chueiri; Edgard Jamhour; Voldi Costa Zambenedetti; Marcelo Eduardo Pellenz; Fabrício Enembreck (Knowl. Based Syst., 2024)

On the Challenges of Implementing MLOps for Stream Learning Algorithms. - Miguel G. Rodrigues; Eduardo K. Viegas; Fabrício Enembreck; Altair O. Santin; Juliano S. Langaro; Adilson G. Filho (AINA (3), 2025)

Efficient Instance Selection in Tree-Based Models for Data Streams Classification. - Aldo Marcelo Paim; João Gama 001; Bruno Veloso; Fabrício Enembreck; Rita P. Ribeiro (SAC, 2025)

A MLOps architecture for near real-time distributed Stream Learning operation deployment. - Miguel G. Rodrigues; Eduardo K. Viegas; Altair O. Santin; Fabrício Enembreck (J. Netw. Comput. Appl., 2025)

Adaptive random tree ensemble for evolving data stream classification. - Aldo Marcelo Paim; Fabrício Enembreck (Knowl. Based Syst., 2025)

Behavioral insights of adaptive splitting decision trees in evolving data stream classification. - Daniel Nowak Assis; Jean Paul Barddal; Fabrício Enembreck (Knowl. Inf. Syst., 2025)