Supply-Chain Management Using ACO and Beam-ACO Algorithms. - João Caldeira; Ricardo Azevedo; Carlos A. Silva 001; João Miguel da Costa Sousa (FUZZ-IEEE, 2007)

Aproaching to Emotional Context on Information Systems Design in a Web Site Front-Office Development - A Case Study for Public Health. - Octávio Pereira; Tiago Luís; Pedro António; Eduardo Valente; João Caldeira; Paulo Alves; Paulo Jesus; João Cordeiro (ICEIS (5), 2007)

Beam-ACO Distributed Optimization Applied to Supply-Chain Management. - João Caldeira; Ricardo Azevedo; Carlos A. Silva 001; João Miguel da Costa Sousa (IFSA (1), 2007)

Influential Factors on Incident Management: Lessons Learned from a Large Sample of Products in Operation. - João Caldeira; Fernando Brito e Abreu (PROFES, 2008)

Software Development Process Mining: Discovery, Conformance Checking and Enhancement. - João Caldeira; Fernando Brito e Abreu (QUATIC, 2016)

Assessing Software Development Teams' Efficiency using Process Mining. - João Caldeira; Fernando Brito e Abreu; José Pereira dos Reis; Jorge Cardoso 001 (ICPM, 2019)

Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia. - João Caldeira; Alex Fout; Aniket Kesari; Raesetje Sefala; Joseph Walsh; Katy Dupre; Muhammad Rizal Khaefi; Setiaji; George Hodge; Zakiya Aryana Pramestri; Muhammad Adib Imtiyazi (IntelliSys (2), 2019)

DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks. - João Caldeira; W. L. K. Wu; Brian Nord; Camille Avestruz; Shubhendu Trivedi; K. T. Story (Astron. Comput., 2019)

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. - Brian Nord; Andrew J. Connolly; Jamie Kinney; Jeremy Kubica; Gautaum Narayan; Joshua E. G. Peek; Chad Schafer; Erik J. Tollerud; Camille Avestruz; Gutti Jogesh Babu; Simon Birrer; Douglas Burke; et al. (CoRR, 2019)

Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan". - James F. Amundson; James Annis; Camille Avestruz; D. Bowring; João Caldeira; Giuseppe Cerati; Chihway L. Chang; Scott Dodelson; D. Elvira; A. Farahi; Krzysztof L. Genser; Lindsey Gray; et al. (CoRR, 2019)

Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer. - João Caldeira; Joshua A. Job; Steven H. Adachi; Brian Nord; Gabriel N. Perdue (CoRR, 2019)

Software Development Analytics in Practice: A Systematic Literature Review. - João Caldeira; Fernando Brito e Abreu; Jorge Cardoso 001; Toacy Cavalcante de Oliveira (CoRR, 2020)

Profiling Software Developers with Process Mining and N-Gram Language Models. - João Caldeira; Fernando Brito e Abreu; Jorge Cardoso 001; Ricardo Ribeiro 001; Cláudia M. L. Werner (CoRR, 2021)

DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning. - Zhen Lin 001; Nicholas Huang; Camille Avestruz; W. L. Kimmy Wu; Shubhendu Trivedi; João Caldeira; Brian Nord (CoRR, 2021)

Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms. - João Caldeira; Brian Nord (Mach. Learn. Sci. Technol., 2021)

Unveiling process insights from refactoring practices. - João Caldeira; Fernando Brito e Abreu; Jorge Cardoso 001; José Pereira dos Reis (Comput. Stand. Interfaces, 2022)