Papers in International Journals

• Macedo, Francisco; Valadas, Rui; Carrasquinha, E.; Oliveira, M. Rosário; Pacheco, António (2022)  Feature selection using Decomposed Mutual Information Maximization . Neurocomputing: 513, 215-232.

• Macedo, Francisco; Oliveira, M. Rosário; Pacheco, António; Valadas, Rui (2019)  Theoretical foundations of forward feature selection methods based on mutual information . Neurocomputing: 325, 67-89.

• Bolten, M. ; Kahl, K. ; Kressner, D. ; Macedo, Francisco; Sokolovic, S.  (2018)  Multigrid methods combined with low-rank approximation for tensor structured Markov chains . Electronic Transactions on Numerical Analysis, (in press).

Papers or Chapters in Edited Books

• Macedo, Francisco; Milheiro-Oliveira, Paula; Pacheco, António; Simões, Maria Lurdes (2017)  Application of a Particular Class of Markov Chains in the Assessment of Semi-actuated Signalized Intersections . Lecture Notes in Computer Science: 10378, 138-151.

Communications in Conference Proceedings

• Macedo, Francisco (2016)  Finding steady states of communicating Markov processes combining aggregation/disaggregation with tensor techniques . Proceedings European Workshop on Performance Engineering (EPEW), 5-7 October 2016, Chios, Greece.

• Kressner, D.; Macedo, Francisco (2014)  Low-rank tensor methods for communicating Markov processes . Proceedings of the 11-th International Conference on Quantitative Evaluation of SysTems (QEST2014), September 8-10, Florence, Italy.