Publications

Books

Book Chapters: 1

2021

- Olivier Roussel and Vasco Manquinho, Pseudo-Boolean and Cardinality Constraints, chapter of Handbook of Satisfiability - Second Edition, to appear on 2021, IOS Press [bibTex]

Articles

International Journal Articles: 6

2023

- Andreia Guerreiro and Joao Cortes and Daniel Vanderpooten and Cristina Bazgan and Inês Lynce and Vasco Manquinho and José Rui Figueira, Exact and Approximate Determination of the Pareto Front Using Minimal Correction Subsets, article in Computers and Operations Research, to appear on 2023 [bibTex]

2022

- João Palet and Vasco Manquinho and Rui Miguel Carrasqueiro Henriques, Multiple-Input Neural Networks for Time Series Forecasting Incorporating Historical and Prospective Context, article in Data Mining and Knowledge Discovery, Nov. 2022 [bibTex]
- Thomas Tiam-Lee and Rui Miguel Carrasqueiro Henriques and Vasco Manquinho, Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response, article in International Journal of Geo-Information, Jun. 2022 [bibTex]
- Leonor Pimenta de Oliveira e Silva and Magda Carolina Araújo Resende and Helena Galhardas and Vasco Manquinho and Inês Lynce, DeepData: Machine Learning in the Marine Ecosystems, article in Expert Systems With Applications, Jun. 2022 [bibTex]
- Tiago Miguel Correia de Almeida and Vasco Manquinho, Constraint-based Electoral Districting Using a New Compactness Measure: an application to Portugal, article in Computers and Operations Research, May. 2022, Elsevier [bibTex]

2021

- Andreia Guerreiro and Vasco Manquinho and José Rui Figueira, Exact Hypervolume Subset Selection Through Incremental Computations, article in Computers & Operations Research vol. 136 pp. 15, Dec. 2021, Elsevier [DOI Article link] [bibTex]

International Conferences: 10

2023

- Joao Cortes and Inês Lynce and Vasco Manquinho, New Core-Guided and Hitting Set Algorithms for Multi-Objective Combinatorial Optimization, presented at Tools and Algorithms for Construction and Analysis of Systems (TACAS), Apr. 2023 [bibTex]

2022

- Miguel Bettencourt Moniz Cabral and Mikolas Janota and Vasco Manquinho, SAT-based Leximax Optimisation Algorithms, presented at International Conference on Theory and Applications of Satisfiability Testing (SAT), to appear on 2022 [bibTex]
- Pedro Orvalho and Mikolas Janota and Vasco Manquinho, MultIPAs : Applying Program Transformations to Introductory Programming Assignments for Data Augmentation, presented at 30th Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) (ESEC/FSE 2022), Nov. 2022 [bibTex]
- Thomas Tiam-Lee and Rui Miguel Carrasqueiro Henriques and José Costa and Vasco Manquinho and Helena Galhardas, Consolidation of massive medical emergency events with heterogeneous situational context data sources, presented at 6th International workshop on Data Analytics solutions for Real-LIfe APplications @ EDBT/ICDT 2022, Mar. 2022 [bibTex] [PDF]
- David António Cóias Calhas and Vasco Manquinho and Inês Lynce, Automatic Generation of Neural Architecture Search Spaces, presented at AAAI-2022 Workshop on Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR), Feb. 2022 [bibTex]

2021

- Mikolas Janota and António José dos Reis Morgado and José Fragoso Santos and Vasco Manquinho, The Seesaw Algorithm: Function Optimization Using Implicit Hitting Sets, presented at 27th International Conference on Principles and Practice of Constraint Programming, Oct. 2021 [DOI Article link] [bibTex] [PDF]
- Changjian Zhang and Ryan Wagner and Pedro Orvalho and David Garlan and Vasco Manquinho and Ruben Martins and Eunsuk Kang, AlloyMax: Bringing Maximum Satisfaction toRelational Specifications, presented at ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Jun. 2021 [bibTex]
- Miguel Cabral and Mikolas Janota and Vasco Manquinho, How to Approximate Leximax-optimal Solutions, presented at Pragmatics of SAT 2021, Jun. 2021 [bibTex]
- Ansong Ni and Daniel Rosa Ramos and Aidan Yang and Inês Lynce and Vasco Manquinho and Ruben Martins and Claire Le Goues, SOAR: A Synthesis Approach for Data Science API Refactoring, presented at International Conference on Software Engineering (ICSE), May. 2021 [bibTex] [Video]
- Leonor Pimenta de Oliveira e Silva and Helena Galhardas and Vasco Manquinho and Rui Miguel Carrasqueiro Henriques, UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles, presented at SIAM International Conference on Data Mining, Apr. 2021 [bibTex]