VLDB 2026 Research / reviewers in the wild / expert
Josep Argelich
dblp:37/2912
· DBLP profile ↗
15ranked-venue papers
9as first author
0since 2021 · last 2020
0000-0003-4089-6422ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 15 · 9 first-authorTheory of computation · 6 · 6 first-authorSoftware engineering, systems software and programming languages · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Mathematical optimization · 67% Computational complexity · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization
multilevel optimization |
0.1 | 1 | 2009 | On Solving Boolean Multilevel Optimization Problemse · IJCAI 2009 |
Mathematical optimization
multi-objective optimization |
0.1 | 1 | 2009 | On Solving Boolean Multilevel Optimization Problemse · IJCAI 2009 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Measuring user relevance in online debates through an argumentative modelabstractOnline debating forums are important social media for people to voice their opinions and engage in debates with each other. Measuring user relevance on these forums can be useful to identify different user profiles or behaviors in online debates, for example, users that tend to participate at the beginning of a debate and whose comments trigger participation, or users that post relevant comments but are not replied too much. To help users to distinguish such different user profiles, we propose graded measures based on users’ influence, the controversy that they generate throughout the debates, their contribution to the polarization of the debates, and their social acceptance, that we extract by analyzing the debates in which the users participate. Our approach is based on an argumentation-based analysis that represents a debate as a valued argumentation framework, in which comments of a debate are arguments, the attack relation between arguments models disagreement between comments, and values for arguments represent the overall support of users for comments. Finally, we test our measures with a sample of users from Reddit debates, identifying four main groups of users, from users with almost no impact on the debate to very active ones with decisive comments for the outcome of the debate. Teresa Alsinet, Josep Argelich, Ramón Béjar, Santi Martínez |
Pattern Recognit. Lett. | 2 |
| 2019 | A distributed argumentation algorithm for mining consistent opinions in weighted Twitter discussions
Teresa Alsinet, Josep Argelich, Ramón Béjar, Joel Cemeli |
Soft Comput. | 2 |
| 2018 | A Probabilistic Author-Centered Model for Twitter Discussions
Teresa Alsinet, Josep Argelich, Ramón Béjar, Francesc Esteva, Lluís Godo |
IPMU (2) | 2 |
| 2018 | An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships
Teresa Alsinet, Josep Argelich, Ramón Béjar, Cèsar Fernández 0001, Carles Mateu, Jordi Planes |
Pattern Recognit. Lett. | 2 |
| 2017 | Weighted argumentation for analysis of discussions in Twitter
Teresa Alsinet, Josep Argelich, Ramón Béjar, Cèsar Fernández 0001, Carles Mateu, Jordi Planes |
Int. J. Approx. Reason. | 2 |
| 2013 | MinSAT versus MaxSAT for Optimization Problems
Josep Argelich, Chu Min Li 0001, Felip Manyà |
CP | 1 |
| 2012 | A New Encoding from MinSAT into MaxSAT
Chu Min Li 0001, Felip Manyà, Josep Argelich |
CP | 4 |
| 2011 | Analyzing the Instances of the MaxSAT Evaluation
Josep Argelich, Chu Min Li 0001, Felip Manyà, Jordi Planes |
SAT | 1 |
| 2009 | On Solving Boolean Multilevel Optimization Problemse
Josep Argelich, Inês Lynce, João Marques-Silva 0001 |
IJCAI | 1 |
| 2009 | Sequential Encodings from Max-CSP into Partial Max-SAT
Josep Argelich, Alba Cabiscol, Inês Lynce, Felip Manyà |
SAT | 1 |
| 2008 | Modelling Max-CSP as Partial Max-SAT
Josep Argelich, Alba Cabiscol, Inês Lynce, Felip Manyà |
SAT | 1 |
| 2008 | A Preprocessor for Max-SAT Solvers
Josep Argelich, Chu Min Li 0001, Felip Manyà |
SAT | 1 |
| 2007 | Partial Max-SAT Solvers with Clause Learning
Josep Argelich, Felip Manyà |
SAT | 1 |
| 2005 | Solving Over-Constrained Problems with SAT
Josep Argelich, Felip Manyà |
CP | 1 |
| 2005 | Solving Over-Constrained Problems with SAT Technology
Josep Argelich, Felip Manyà |
SAT | 1 |