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Vasco Manquinho
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- affiliation: University of Lisbon, Portugal
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2020 – today
- 2024
- [j23]João Palet, Vasco Manquinho, Rui Henriques:
Multiple-input neural networks for time series forecasting incorporating historical and prospective context. Data Min. Knowl. Discov. 38(1): 315-341 (2024) - [j22]Daniel Ramos, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
BatFix: Repairing language model-based transpilation. ACM Trans. Softw. Eng. Methodol. 33(6): 161 (2024) - [c60]João Cortes, Inês Lynce, Vasco Manquinho:
Slide&Drill, a New Approach for Multi-Objective Combinatorial Optimization. CP 2024: 8:1-8:17 - [c59]Ricardo Brancas, Miguel Terra-Neves, Miguel Ventura, Vasco Manquinho, Ruben Martins:
Towards Reliable SQL Synthesis: Fuzzing-Based Evaluation and Disambiguation. FASE 2024: 232-254 - [c58]Pedro Orvalho, Mikolás Janota, Vasco M. Manquinho:
cfaults: Model-Based Diagnosis for Fault Localization in C with Multiple Test Cases. FM (1) 2024: 463-481 - [c57]Pedro Orvalho, Mikolás Janota, Vasco Manquinho:
C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments. APR 2024: 14-21 - [c56]Joana Coutinho, Alexandre Lemos, Miguel Terra-Neves, André Ribeiro, Vasco Manquinho, Rui Quintino, Bartlomiej Matejczyk:
BugOut: Automated Test Generation and Bug Detection for Low-Code. ICST 2024: 373-382 - [c55]Pedro Orvalho, Mikolás Janota, Vasco Manquinho:
GitSEED: A Git-backed Automated Assessment Tool for Software Engineering and Programming Education. SIGCSE Virtual (1) 2024 - [i24]José E. R. Cury, Patrícia Tenera Roxo, Vasco Manquinho, Claudine Chaouiya, Pedro T. Monteiro:
Immediate Neighbours of Monotone Boolean Functions. CoRR abs/2407.01337 (2024) - [i23]Pedro Orvalho, Mikolás Janota, Vasco Manquinho:
CFaults: Model-Based Diagnosis for Fault Localization in C Programs with Multiple Test Cases. CoRR abs/2407.09337 (2024) - [i22]Pedro Orvalho, Mikolás Janota, Vasco Manquinho:
GitSEED: A Git-backed Automated Assessment Tool for Software Engineering and Programming Education. CoRR abs/2409.07362 (2024) - [i21]Ricardo Brancas, Vasco Manquinho, Ruben Martins:
Combining Logic with Large Language Models for Automatic Debugging and Repair of ASP Programs. CoRR abs/2410.20962 (2024) - 2023
- [j21]Andreia P. Guerreiro, João Cortes, Daniel Vanderpooten, Cristina Bazgan, Inês Lynce, Vasco Manquinho, José Rui Figueira:
Exact and approximate determination of the Pareto front using Minimal Correction Subsets. Comput. Oper. Res. 153: 106153 (2023) - [c54]Pedro Orvalho, Jelle Piepenbrock, Mikolás Janota, Vasco Manquinho:
Graph Neural Networks for Mapping Variables Between Programs. ECAI 2023: 1811-1818 - [c53]Daniel Ramos, Hailie Mitchell, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
MELT: Mining Effective Lightweight Transformations from Pull Requests. ASE 2023: 1516-1528 - [c52]Pedro Orvalho, Vasco Manquinho, Ruben Martins:
UpMax: User Partitioning for MaxSAT. SAT 2023: 19:1-19:13 - [c51]João Cortes, Inês Lynce, Vasco Manquinho:
New Core-Guided and Hitting Set Algorithms for Multi-Objective Combinatorial Optimization. TACAS (2) 2023: 55-73 - [i20]Pedro Orvalho, Vasco Manquinho, Ruben Martins:
UpMax: User partitioning for MaxSAT. CoRR abs/2305.16191 (2023) - [i19]Pedro Orvalho, Jelle Piepenbrock, Mikolás Janota, Vasco Manquinho:
Graph Neural Networks For Mapping Variables Between Programs - Extended Version. CoRR abs/2307.13014 (2023) - [i18]Daniel Ramos, Hailie Mitchell, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
MELT: Mining Effective Lightweight Transformations from Pull Requests. CoRR abs/2308.14687 (2023) - [i17]Aidan Z. H. Yang, Ricardo Brancas, Pedro Esteves, Sofia Aparicio, João Pedro Nadkarni, Miguel Terra-Neves, Vasco Manquinho, Ruben Martins:
On Repairing Natural Language to SQL Queries. CoRR abs/2310.03866 (2023) - 2022
- [j20]Tiago Almeida, Vasco Manquinho:
Constraint-based electoral districting using a new compactness measure: An application to Portugal. Comput. Oper. Res. 146: 105892 (2022) - [j19]Leonor Silva, Magda Resende, Helena Galhardas, Vasco Manquinho, Inês Lynce:
DeepData: Machine learning in the marine ecosystems. Expert Syst. Appl. 206: 117841 (2022) - [j18]Thomas James Z. Tiam-Lee, Rui Henriques, Vasco Manquinho:
Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response. ISPRS Int. J. Geo Inf. 11(7): 356 (2022) - [c50]Thomas James Z. Tiam-Lee, Rui Henriques, José Costa, Vasco Manquinho, Helena Galhardas:
Consolidation of Massive Medical Emergency Events With Heterogeneous Situational Context Data Sources. EDBT/ICDT Workshops 2022 - [c49]Miguel Cabral, Mikolás Janota, Vasco Manquinho:
SAT-Based Leximax Optimisation Algorithms. SAT 2022: 29:1-29:19 - [c48]Pedro Orvalho, Mikolás Janota, Vasco Manquinho:
MultIPAs: applying program transformations to introductory programming assignments for data augmentation. ESEC/SIGSOFT FSE 2022: 1657-1661 - [i16]Ricardo Brancas, Miguel Terra-Neves, Miguel Ventura, Vasco Manquinho, Ruben Martins:
CUBES: A Parallel Synthesizer for SQL Using Examples. CoRR abs/2203.04995 (2022) - [i15]Andreia P. Guerreiro, João Cortes, Daniel Vanderpooten, Cristina Bazgan, Inês Lynce, Vasco Manquinho, José Rui Figueira:
Exact and approximate determination of the Pareto set using minimal correction subsets. CoRR abs/2204.06908 (2022) - [i14]João Cortes, Inês Lynce, Vasco Manquinho:
New Core-Guided and Hitting Set Algorithms for Multi-Objective Combinatorial Optimization. CoRR abs/2204.10856 (2022) - [i13]Pedro Orvalho, Mikolás Janota, Vasco Manquinho:
C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments. CoRR abs/2206.08768 (2022) - [i12]Pedro Orvalho, Mikolás Janota, Vasco Manquinho:
InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments. CoRR abs/2206.14175 (2022) - 2021
- [j17]Andreia P. Guerreiro, Vasco Manquinho, José Rui Figueira:
Exact hypervolume subset selection through incremental computations. Comput. Oper. Res. 136: 105471 (2021) - [c47]Mikolás Janota, António Morgado, José Fragoso Santos, Vasco Manquinho:
The Seesaw Algorithm: Function Optimization Using Implicit Hitting Sets. CP 2021: 31:1-31:16 - [c46]Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
SOAR: A Synthesis Approach for Data Science API Refactoring. ICSE 2021: 112-124 - [c45]Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
Replication of SOAR: A Synthesis Approach for Data Science API Refactoring. ICSE (Companion Volume) 2021: 190-191 - [c44]Leonor Silva, Helena Galhardas, Vasco Manquinho, Rui Henriques:
UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles. SDM 2021: 324-332 - [c43]Changjian Zhang, Ryan Wagner, Pedro Orvalho, David Garlan, Vasco Manquinho, Ruben Martins, Eunsuk Kang:
AlloyMax: bringing maximum satisfaction to relational specifications. ESEC/SIGSOFT FSE 2021: 155-167 - [p4]Olivier Roussel, Vasco Manquinho:
Pseudo-Boolean and Cardinality Constraints. Handbook of Satisfiability 2021: 1087-1129 - [i11]Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
SOAR: A Synthesis Approach for Data Science API Refactoring. CoRR abs/2102.06726 (2021) - 2020
- [j16]Pedro Orvalho, Miguel Terra-Neves, Miguel Ventura, Ruben Martins, Vasco Manquinho:
SQUARES : A SQL Synthesizer Using Query Reverse Engineering. Proc. VLDB Endow. 13(12): 2853-2856 (2020) - [c42]Daniel Ramos, Jorge Pereira, Inês Lynce, Vasco Manquinho, Ruben Martins:
UNCHARTIT: An Interactive Framework for Program Recovery from Charts. ASE 2020: 175-186
2010 – 2019
- 2019
- [j15]Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Virtual machine consolidation using constraint-based multi-objective optimization. J. Heuristics 25(3): 339-375 (2019) - [c41]Miguel Terra-Neves, Nuno Machado, Inês Lynce, Vasco Manquinho:
Concurrency Debugging with MaxSMT. AAAI 2019: 1608-1616 - [c40]Andreia P. Guerreiro, Miguel Terra-Neves, Inês Lynce, José Rui Figueira, Vasco Manquinho:
Constraint-Based Techniques in Stochastic Local Search MaxSAT Solving. CP 2019: 232-250 - [c39]Pedro Orvalho, Miguel Terra-Neves, Miguel Ventura, Ruben Martins, Vasco Manquinho:
Encodings for Enumeration-Based Program Synthesis. CP 2019: 583-599 - [c38]Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary Algorithms. IJCAI 2019: 1184-1190 - [i10]Ruben Martins, Saurabh Joshi, Vasco Manquinho, Inês Lynce:
Reflections on "Incremental Cardinality Constraints for MaxSAT". CoRR abs/1910.04643 (2019) - 2018
- [c37]Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Enhancing Constraint-Based Multi-Objective Combinatorial Optimization. AAAI 2018: 6649-6656 - [c36]Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Stratification for Constraint-Based Multi-Objective Combinatorial Optimization. IJCAI 2018: 1376-1382 - [c35]Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Multi-Objective Optimization Through Pareto Minimal Correction Subsets. IJCAI 2018: 5379-5383 - [c34]Pedro L. Varela, Inês Lynce, Vasco Manquinho, Claudine Chaouiya, Pedro T. Monteiro:
Stable States of Boolean Regulatory Networks Composed Over Hexagonal Grids. SASB 2018: 113-130 - [p3]Inês Lynce, Vasco Manquinho, Ruben Martins:
Parallel Maximum Satisfiability. Handbook of Parallel Constraint Reasoning 2018: 61-99 - 2017
- [c33]Mikolás Janota, Radu Grigore, Vasco Manquinho:
On the Quest for an Acyclic Graph. RCRA@AI*IA 2017: 33-44 - [c32]Filipe Gouveia, Pedro T. Monteiro, Vasco Manquinho, Inês Lynce:
Logic-Based Encodings for Ricochet Robots. EPIA 2017: 657-669 - [c31]Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Introducing Pareto Minimal Correction Subsets. SAT 2017: 195-211 - [i9]Mikolas Janota, Radu Grigore, Vasco Manquinho:
On the Quest for an Acyclic Graph. CoRR abs/1708.01745 (2017) - 2016
- [c30]Xujie Si, Xin Zhang, Vasco Manquinho, Mikolás Janota, Alexey Ignatiev, Mayur Naik:
On Incremental Core-Guided MaxSAT Solving. CP 2016: 473-482 - [c29]Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Non-Portfolio Approaches for Distributed Maximum Satisfiability. ICTAI 2016: 436-443 - 2015
- [j14]Ruben Martins, Vasco Manquinho, Inês Lynce:
Deterministic Parallel MaxSAT Solving. Int. J. Artif. Intell. Tools 24(3): 1550005:1-1550005:25 (2015) - [j13]Ruben Martins, Vasco Manquinho, Inês Lynce:
Improving linear search algorithms with model-based approaches for MaxSAT solving. J. Exp. Theor. Artif. Intell. 27(5): 673-701 (2015) - [c28]Saurabh Joshi, Ruben Martins, Vasco Manquinho:
Generalized Totalizer Encoding for Pseudo-Boolean Constraints. CP 2015: 200-209 - [c27]Miguel Neves, Ruben Martins, Mikolás Janota, Inês Lynce, Vasco Manquinho:
Exploiting Resolution-Based Representations for MaxSAT Solving. SAT 2015: 272-286 - [i8]Miguel Neves, Ruben Martins, Mikolás Janota, Inês Lynce, Vasco Manquinho:
Exploiting Resolution-based Representations for MaxSAT Solving. CoRR abs/1505.02405 (2015) - [i7]Miguel Neves, Inês Lynce, Vasco Manquinho:
DistMS: A Non-Portfolio Distributed Solver for Maximum Satisfiability. CoRR abs/1505.02408 (2015) - [i6]Saurabh Joshi, Ruben Martins, Vasco Manquinho:
Generalized Totalizer Encoding for Pseudo-Boolean Constraints. CoRR abs/1507.05920 (2015) - 2014
- [j12]Miguel Miranda, Inês Lynce, Vasco Manquinho:
Inferring phylogenetic trees using pseudo-Boolean optimization. AI Commun. 27(3): 229-243 (2014) - [j11]Ruben Martins, Saurabh Joshi, Vasco Manquinho, Inês Lynce:
On Using Incremental Encodings in Unsatisfiability-based MaxSAT Solving. J. Satisf. Boolean Model. Comput. 9(1): 59-81 (2014) - [c26]Ruben Martins, Saurabh Joshi, Vasco Manquinho, Inês Lynce:
Incremental Cardinality Constraints for MaxSAT. CP 2014: 531-548 - [c25]Alexey Ignatiev, António Morgado, Vasco Manquinho, Inês Lynce, João Marques-Silva:
Progression in Maximum Satisfiability. ECAI 2014: 453-458 - [c24]João Marques-Silva, Alexey Ignatiev, António Morgado, Vasco Manquinho, Inês Lynce:
Efficient Autarkies. ECAI 2014: 603-608 - [c23]Ruben Martins, Vasco Manquinho, Inês Lynce:
Open-WBO: A Modular MaxSAT Solver, . SAT 2014: 438-445 - [i5]Ruben Martins, Saurabh Joshi, Vasco Manquinho, Inês Lynce:
Incremental Cardinality Constraints for MaxSAT. CoRR abs/1408.4628 (2014) - 2013
- [c22]Ruben Martins, Vasco Manquinho, Inês Lynce:
Community-Based Partitioning for MaxSAT Solving. SAT 2013: 182-191 - 2012
- [j10]Ruben Martins, Vasco Manquinho, Inês Lynce:
Parallel search for maximum satisfiability. AI Commun. 25(2): 75-95 (2012) - [j9]Ruben Martins, Vasco Manquinho, Inês Lynce:
An overview of parallel SAT solving. Constraints An Int. J. 17(3): 304-347 (2012) - [j8]Mikolás Janota, Inês Lynce, Vasco Manquinho, João Marques-Silva:
PackUp: Tools for Package Upgradability Solving. J. Satisf. Boolean Model. Comput. 8(1/2): 89-94 (2012) - [c21]Ruben Martins, Vasco Manquinho, Inês Lynce:
On Partitioning for Maximum Satisfiability. ECAI 2012: 913-914 - [c20]Ruben Martins, Vasco Manquinho, Inês Lynce:
Clause Sharing in Parallel MaxSAT. LION 2012: 455-460 - [i4]Rui Henriques, Inês Lynce, Vasco Manquinho:
On When and How to use SAT to Mine Frequent Itemsets. CoRR abs/1207.6253 (2012) - 2011
- [c19]Ruben Martins, Vasco Manquinho, Inês Lynce:
Exploiting Cardinality Encodings in Parallel Maximum Satisfiability. ICTAI 2011: 313-320 - 2010
- [j7]João Delgado, Inês Lynce, Vasco Manquinho:
Computing the Summed Adjacency Disruption Number between Two Genomes with Duplicate Genes. J. Comput. Biol. 17(9): 1243-1265 (2010) - [j6]Wei-Chung Kao, Wei-Shun Chuang, Shiu-Ting Lin, Chien-Mo James Li, Vasco Manquinho:
DFT and Minimum Leakage Pattern Generation for Static Power Reduction During Test and Burn-In. IEEE Trans. Very Large Scale Integr. Syst. 18(3): 392-400 (2010) - [c18]Ruben Martins, Vasco Manquinho, Inês Lynce:
Improving Search Space Splitting for Parallel SAT Solving. ICTAI (1) 2010: 336-343 - [c17]Vasco Manquinho, Ruben Martins, Inês Lynce:
Improving Unsatisfiability-Based Algorithms for Boolean Optimization. SAT 2010: 181-193 - [i3]Nuno P. Lopes, Levent Aksoy, Vasco Manquinho, José Monteiro:
Optimally Solving the MCM Problem Using Pseudo-Boolean Satisfiability. CoRR abs/1011.2685 (2010)
2000 – 2009
- 2009
- [c16]João Delgado, Inês Lynce, Vasco Manquinho:
Computing the Summed Adjacency Disruption Number between Two Genomes with Duplicate Genes Using Pseudo-Boolean Optimization. RECOMB-CG 2009: 138-149 - [c15]Vasco Manquinho, João Marques-Silva, Jordi Planes:
Algorithms for Weighted Boolean Optimization. SAT 2009: 495-508 - [p2]Olivier Roussel, Vasco Manquinho:
Pseudo-Boolean and Cardinality Constraints. Handbook of Satisfiability 2009: 695-733 - [i2]Vasco Manquinho, João Marques-Silva, Jordi Planes:
Algorithms for Weighted Boolean Optimization. CoRR abs/0903.0843 (2009) - 2008
- [j5]Ewald Speckenmeyer, Armando Tacchella, Vasco Manquinho, Chu Min Li:
Guest Editors Conclusion. J. Satisf. Boolean Model. Comput. 4(2-4) (2008) - [c14]Federico Heras, Vasco Manquinho, João Marques-Silva:
On Applying Unit Propagation-Based Lower Bounds in Pseudo-Boolean Optimization. FLAIRS 2008: 71-76 - [c13]João Marques-Silva, Inês Lynce, Vasco Manquinho:
Symmetry Breaking for Maximum Satisfiability. LPAR 2008: 1-15 - [c12]José Faustino Fragoso Femenin dos Santos, Vasco Manquinho:
Learning Techniques for Pseudo-Boolean Solving. LPAR Workshops 2008 - [c11]João Marques-Silva, Vasco Manquinho:
Towards More Effective Unsatisfiability-Based Maximum Satisfiability Algorithms. SAT 2008: 225-230 - [p1]Inês Lynce, Vasco Manquinho, João Marques-Silva:
Backtracking. Wiley Encyclopedia of Computer Science and Engineering 2008 - [i1]João Marques-Silva, Inês Lynce, Vasco Manquinho:
Symmetry Breaking for Maximum Satisfiability. CoRR abs/0804.0599 (2008) - 2006
- [j4]Vasco M. Manquinho, Olivier Roussel:
The First Evaluation of Pseudo-Boolean Solvers (PB'05). J. Satisf. Boolean Model. Comput. 2(1-4): 103-143 (2006) - [j3]Vasco M. Manquinho, João Marques-Silva:
On Using Cutting Planes in Pseudo-Boolean Optimization. J. Satisf. Boolean Model. Comput. 2(1-4): 209-219 (2006) - [c10]António Morgado, Paulo J. Matos, Vasco Manquinho, João Marques-Silva:
Counting Models in Integer Domains. SAT 2006: 410-423 - 2005
- [c9]Vasco M. Manquinho, João Marques-Silva:
Effective Lower Bounding Techniques for Pseudo-Boolean Optimization. DATE 2005: 660-665 - [c8]Vasco M. Manquinho, João Marques-Silva:
Satisfiability-Based Algorithms for Pseudo-Boolean Optimization Using Gomory Cuts and Search Restarts. ICTAI 2005: 150-155 - [c7]Vasco Manquinho, João Marques-Silva:
On Applying Cutting Planes in DLL-Based Algorithms for Pseudo-Boolean Optimization. SAT 2005: 451-458 - 2004
- [j2]Vasco M. Manquinho, João P. Marques Silva:
Satisfiability-Based Algorithms for Boolean Optimization. Ann. Math. Artif. Intell. 40(3-4): 353-372 (2004) - [c6]Vasco M. Manquinho, João Marques-Silva:
Integration of Lower Bound Estimates in Pseudo-Boolean Optimization. ICTAI 2004: 742-748 - [c5]Vasco M. Manquinho, João Marques-Silva:
Using Lower-Bound Estimates in SAT-Based Pseudo-Boolean Optimization. SAT 2004 - 2002
- [j1]Vasco M. Manquinho, João P. Marques Silva:
Search pruning techniques in SAT-based branch-and-bound algorithmsfor the binate covering problem. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 21(5): 505-516 (2002) - 2000
- [c4]Vasco M. Manquinho, João Marques-Silva:
On Solving Boolean Optimization with Satisfiability-Based Algorithms. AI&M 2000 - [c3]Vasco M. Manquinho, João Marques-Silva:
On Using Satisfiability-Based Pruning Techniques in Covering Algorithms. DATE 2000: 356-363 - [c2]Vasco M. Manquinho, João Marques-Silva:
Search Pruning Conditions for Boolean Optimization. ECAI 2000: 103-107
1990 – 1999
- 1997
- [c1]Vasco M. Manquinho, Paulo F. Flores, João P. Marques Silva, Arlindo L. Oliveira:
Prime Implicant Computation Using Satisfiability Algorithms. ICTAI 1997: 232-239
Coauthor Index
aka: Mikolas Janota
aka: João P. Marques Silva
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