Multiobjective Evolutionary Algorithms and a Combined Heuristic for Route Reconnection Applied to Multicast Flow Routing. - Marcos L. P. Bueno; Gina M. B. Oliveira (CIT, 2010)

Multicast flow routing: Evaluation of heuristics and multiobjective evolutionary algorithms. - Marcos L. P. Bueno; Gina M. B. Oliveira (IEEE Congress on Evolutionary Computation, 2010)

Pareto-Based Optimization of Multicast Flows with QoS and Traffic Engineering Requirements. - Marcos L. P. Bueno; Gina M. B. Oliveira (NCA, 2010)

Algorithms to Augment Diversity and Convergence in Multiobjective Multicast Flow Routing. - Marcos L. P. Bueno; Gina M. B. Oliveira (SBRN, 2010)

Analyzing the effects of neighborhood crossover in multiobjective multicast flow routing problem. - Marcos L. P. Bueno; Gina M. B. Oliveira (SMC, 2010)

Adaptive shifting of auxiliary strategies over three formulations of multicast routing problem. - Marcos Luiz de Paula Bueno; Gina Maira Barbosa de Oliveira (GECCO (Companion), 2011)

Continuous Processing of Conditional Preference Queries. - Sandra de Amo; Marcos L. P. Bueno (SBBD (Short Papers), 2011)

CPrefMiner: An Algorithm for Mining User Contextual Preferences Based on Bayesian Networks. - Sandra de Amo; Marcos L. P. Bueno; Guilherme Alves 001; Nádia Félix F. da Silva (ICTAI, 2012)

A Dynamic Multiobjective Evolutionary Algorithm for Multicast Routing Problem. - Marcos L. P. Bueno; Gina M. B. Oliveira (SMC, 2013)

Mining User Contextual Preferences. - Sandra de Amo; Marcos L. P. Bueno; Guilherme Alves 001; Nádia Félix F. da Silva (J. Inf. Data Manag., 2013)

Four-objective formulations of multicast flows via evolutionary algorithms with quality demands. - Marcos L. P. Bueno; Gina M. B. Oliveira (Telecommun. Syst., 2014)

Many-Objective Evolutionary Algorithms for Multicast Routing with Quality of Service Problem. - Thiago Fialho de Queiroz Lafetá; Marcos Luiz de Paula Bueno; Christiane Regina Soares Brasil; Gina Maira Barbosa de Oliveira (BRACIS, 2016)

Toward Computing Conflict-Based Diagnoses in Probabilistic Logic Programming. - Arjen Hommersom; Marcos L. P. Bueno (PLP@ILP, 2016)

Towards Adaptive Scheduling of Maintenance for Cyber-Physical Systems. - Alexis Linard; Marcos L. P. Bueno (ISoLA (1), 2016)

Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Sicco Verwer; Alexis Linard (Probabilistic Graphical Models, 2016)

Understanding disease processes by partitioned dynamic Bayesian networks. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Martijn Lappenschaar; Joost G. E. Janzing (J. Biomed. Informatics, 2016)

An improved diagnostic method for probabilistic consistency-based diagnosis. - Marcos Luiz de Paula Bueno; Arjen Hommersom; Peter J. F. Lucas (DX, 2017)

Asymmetric hidden Markov models. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Alexis Linard (Int. J. Approx. Reason., 2017)

Modeling the Dynamics of Multiple Disease Occurrence by Latent States. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Mariana Lobo; Pedro Pereira Rodrigues (SUM, 2018)

MEANDS: A Many-objective Evolutionary Algorithm based on Non-dominated Decomposed Sets applied to multicast routing. - Thiago Fialho de Queiroz Lafetá; Marcos L. P. Bueno; Christiane Regina Soares Brasil; Gina M. B. Oliveira (Appl. Soft Comput., 2018)

A Data-Driven Exploration of Hypotheses on Disease Dynamics. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Joost G. E. Janzing (AIME, 2019)

A probabilistic framework for predicting disease dynamics: A case study of psychotic depression. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Joost G. E. Janzing (J. Biomed. Informatics, 2019)

Temporal Exceptional Model Mining Using Dynamic Bayesian Networks. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas (AALTD@PKDD/ECML, 2020)

Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions. - Rianne Margaretha Schouten; Marcos L. P. Bueno; Wouter Duivesteijn; Mykola Pechenizkiy (Data Min. Knowl. Discov., 2022)

Datasets for Artificial Intelligence in Education: The Case of Children with Neurodevelopmental Disorders. - Marcos L. P. Bueno; Serge Thill ("MIS4TEL (Workshops), 2023)

AMLB: an AutoML Benchmark. - Pieter Gijsbers; Marcos L. P. Bueno; Stefan Coors; Erin LeDell; Sébastien Poirier; Janek Thomas; Bernd Bischl; Joaquin Vanschoren (J. Mach. Learn. Res., 2024)

Predicting Performance in Gamified Cognitive Executive Functioning Tasks for Neurodiverse Children Using Machine Learning. - Marcos L. P. Bueno; Arina Schippers; Monika Kazlauskaite; Joana Brito; Joana Campos 001; Lucía Vera; Diana Stilwell; Carlos Martinho; Gerardo Herrera; Cristina A. Costescu; Serge Thill (HCI (62), 2025)