Marcos L. P. Bueno

Orcid: 0000-0002-6981-485X

Affiliations:
  • Eindhoven University of Technology, The Netherlands
  • Federal University of Uberlândia (UFU), School of Computer Science (former)


According to our database1, Marcos L. P. Bueno authored at least 26 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Datasets for Artificial Intelligence in Education: The Case of Children with Neurodevelopmental Disorders.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops, 2023

2022
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions.
Data Min. Knowl. Discov., 2022

AMLB: an AutoML Benchmark.
CoRR, 2022

2020
Temporal Exceptional Model Mining Using Dynamic Bayesian Networks.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

2019
A probabilistic framework for predicting disease dynamics: A case study of psychotic depression.
J. Biomed. Informatics, 2019

A Data-Driven Exploration of Hypotheses on Disease Dynamics.
Proceedings of the Artificial Intelligence in Medicine, 2019

2018
MEANDS: A Many-objective Evolutionary Algorithm based on Non-dominated Decomposed Sets applied to multicast routing.
Appl. Soft Comput., 2018

Modeling the Dynamics of Multiple Disease Occurrence by Latent States.
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

2017
Asymmetric hidden Markov models.
Int. J. Approx. Reason., 2017

An improved diagnostic method for probabilistic consistency-based diagnosis.
Proceedings of the 28th International Workshop on Principles of Diagnosis (DX'17), 2017

2016
Understanding disease processes by partitioned dynamic Bayesian networks.
J. Biomed. Informatics, 2016

Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Towards Adaptive Scheduling of Maintenance for Cyber-Physical Systems.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques, 2016

Toward Computing Conflict-Based Diagnoses in Probabilistic Logic Programming.
Proceedings of the 3rd International Workshop on Probabilistic Logic Programming co-located with 26th International Conference on Inductive Logic Programming (ILP 2016), 2016

Many-Objective Evolutionary Algorithms for Multicast Routing with Quality of Service Problem.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2014
Four-objective formulations of multicast flows via evolutionary algorithms with quality demands.
Telecommun. Syst., 2014

2013
Mining User Contextual Preferences.
J. Inf. Data Manag., 2013

A Dynamic Multiobjective Evolutionary Algorithm for Multicast Routing Problem.
Proceedings of the IEEE International Conference on Systems, 2013

2012
CPrefMiner: An Algorithm for Mining User Contextual Preferences Based on Bayesian Networks.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
Continuous Processing of Conditional Preference Queries.
Proceedings of the XXVI Simpósio Brasileiro de Banco de Dados, 2011

Adaptive shifting of auxiliary strategies over three formulations of multicast routing problem.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Analyzing the effects of neighborhood crossover in multiobjective multicast flow routing problem.
Proceedings of the IEEE International Conference on Systems, 2010

Algorithms to Augment Diversity and Convergence in Multiobjective Multicast Flow Routing.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Pareto-Based Optimization of Multicast Flows with QoS and Traffic Engineering Requirements.
Proceedings of The Ninth IEEE International Symposium on Networking Computing and Applications, 2010

Multicast flow routing: Evaluation of heuristics and multiobjective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Multiobjective Evolutionary Algorithms and a Combined Heuristic for Route Reconnection Applied to Multicast Flow Routing.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010


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