Journals
Vaccination against covid-19 after ovulation could prevent possible alterations in the menstrual cycle
Borja Velasco-Regulez, Jose L. Fernandez-Marquez, Nerea Luqui, Jesus Cerquides, Josep Lluis Arcos, Analia Fukelman, Josep Perelló, Is the phase of the menstrual cycle relevant when getting the covid-19 vaccine?, American Journal of Obstetrics and Gynecology, 2022, ISSN 0002-9378.
Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter,
V. Negri, D. Scuratti, S. Agresti, D. Rooein, G. Scalia, J. L. Fernandez-Marquez, A. Ravi Shankar, M. Carman and B.Pernici, Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter, IEEE ICSE, Track Software Engineering in Society, online (Madrid), May 2021 video link to paper
Modeling Adaptive Data Analysis Pipelines for Crowd-Enhanced Processes,
C. Cappiello, B. Pernici, M. Vitali, Modeling Adaptive Data Analysis Pipelines for Crowd-Enhanced Processes, accepted as a short paper (10 LNCS pages) at ER2021 40th International Conference on Conceptual Modeling, in press, October 2021
CIME: Context-aware geolocation of emergency-related posts,
G. Scalia, C. Francalanci, B. Pernici, CIME: Context-aware geolocation of emergency-related posts, Geoinformatica (Electronic ISSN 1573-7624 Print ISSN 1384-6175), Kluwer Academic Publishers, 2021 link
A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data
Cerquides, J.; Mülâyim, M.O.; Hernández-González, J.; Ravi Shankar, A.; Fernandez-Marquez, J.L. A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data. Mathematics 2021, 9, 875.
Crowdsourcing snake identification with online communities of professional herpetologists and avocational snake enthusiasts
Durso A. M., Bolon I., Kleinhesselink A. R., Mondardini M. R., Fernandez-Marquez J. L., Gutsche-Jones F., Gwilliams C., Tanner M., Smith C. E., Wüster W., Grey F. and Ruiz de Castañeda R. 2021 Crowdsourcing snake identification with online communities of professional herpetologists and avocational snake enthusiasts. Royal Society Open Science 8201273201273
Guaranteeing the Learning of Ethical Behaviour through Multi-Objective Reinforcement Learning
Manel Rodríguez Soto, Maite López-Sánchez, & Juan A. Rodríguez-Aguilar (2021). Guaranteeing the Learning of Ethical Behaviour through Multi-Objective Reinforcement Learning. Adaptive and Learning Agents Workshop at AAMAS 2021 (ALA 2021).
Multi-Objective Reinforcement Learning for Designing Ethical Environments.
Manel Rodríguez Soto, Maite López-Sánchez, & Juan A. Rodríguez-Aguilar (2021). Multi-Objective Reinforcement Learning for Designing Ethical Environments. Proceedings of the 30th International Joint Conference on Artificial Intelligence, (IJCAI-21) (pp. in-press).
On the Convergence of Stochastic Process Convergence Proofs.
Borja Sánchez-López, & Jesus Cerquides (2021). On the Convergence of Stochastic Process Convergence Proofs. Mathematics, 9.
Towards a Competence-Based Approach to Allocate Teams to Tasks.
Athina Georgara, Juan A. Rodríguez-Aguilar & Carles Sierra (2021). Towards a Competence-Based Approach to Allocate Teams to Tasks. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1504–1506). International Foundation for Autonomous Agents and Multiagent Systems.
Knowledge-driven Data Ecosystems Towards Data Transparency
S. Geisler, M.-E. Vidal, C. Cappiello, B. Farias Lóscio, A. Gal, M. Jarke, M. Lenzerini, P. Missier, B. Otto, E. Paja, B. Pernici, J. Rehof, Knowledge-driven Data Ecosystems Towards Data Transparency, accepted for publication on ACM Journal of Data and Information Quality, 2021
A Robust Solution to Variational Importance Sampling of Minimum Variance
Hernández-González, J.; Cerquides, J. A Robust Solution to Variational Importance Sampling of Minimum Variance. Entropy 2020, 22, 1405.
CROWD4SDG: Crowdsourcing for sustainable developments goals
B. Pernici CROWD4SDG: Crowdsourcing for sustainable developments goals, in Book of Short Papers, pp. 248-253, SIS 2020 Scientific Meeting of the Italian Statistical Society, Pisa, Book chapter (canceled conference), Pearson, June 2020 (link)
About the Quality of Data and Services in Natural Sciences
B. Pernici, F. Ratti, G. Scalia, About the Quality of Data and Services in Natural Sciences, Springer, ICSOC, Dubai (postponed from 2020), May 2021 doi: 10.1007/978-3-030-73203-5_18
Optimization Techniques and Formal Verification for the Software Design of Boolean Algebra Based Safety-Critical Systems
J. Perez, J. L. Flores, C. Blum, J. Cerquides and A. Abuin, Optimization Techniques and Formal Verification for the Software Design of Boolean Algebra Based Safety-Critical Systems in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3074394.
Evaluating the impact of floods on gender equality from social media evidence
.Olimpia Rivera, Juan Felipe Calderon, Paul Planchon, Barbara Pernici, Evaluating the impact of floods on gender equality from social media evidence, 2nd AISWN International Research Workshop on Women IS and Grand Challenges @ICIS, Dec. 2021
TriggerCit: Early Flood Alerting using Twitter and Geolocation – a comparison with alternative sources
C. Bono, B. Pernici, J. L. Fernandez-Marquez, A. Ravi Shankar, M. O. Mülâyim, E. Nemni, Proceedings of the 19th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2022), pp. 674-686.
Extracting large scale spatio-temporal descriptions from social media
C. Bono, B. Pernici, Proceedings of the SEBD 2022 Conference
An Epistemology for Democratic Citizen Science
Jaeger, J., Masselot, C., Greshake Tzovaras, B., Senabre Hidalgo, E., Haklay, M., Santolini, M., Open Science Framework
Learning early detection of emergencies from word usage patterns on social media
C. Bono, M. O. Mülâyim, B. Pernici, Proceedings of the Conference on Information Technology in Disaster Risk Reduction (ITDRR-2022), Kristiansand, Norway (in press)
Automatic Outdoor Image Geolocation with Focal Modulation Networks
Murgese, F., Alcaina, G., Mülâyim, M. O., Cerquides, J., & Fernandez-Marquez, J. L., In A. Cortés, F. Grimaldo, & T. Flaminio (Eds.), Frontiers in Artificial Intelligence and Applications (Vol. 356, pp. 279–288)
A First Approach to Closeness Distributions
Cerquides J. A First Approach to Closeness Distributions. Mathematics. 2021; 9(23):3112.
Validation on Real Data of an Extended Embryo-Uterine Probabilistic Graphical Model for Embryo Selection
Adrián Torres-Martín, Jerónimo Hernández-González, Jesus Cerquides. In Frontiers in Artificial Intelligence and Applications, vol. 339, p. 225-234. IOS Press, 2021.
Countering Negative Effects of Hate Speech in a Multi-Agent Society
Arthur Müller, Maite Lopez-Sanchez. In Frontiers in Artificial Intelligence and Applications, vol. 339, pp.103 -112. IOS Press, 2021.
An Anytime Heuristic Algorithm for Allocating Many Teams to Many Tasks
Athina Georgara, Juan A. Rodríguez-Aguilar, Carles Sierra, Ornella Mich, Raman Kazhamiakin, Alessio P. Approsio, & Jean-Christophe Pazzaglia (2022). In AAMAS ’22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, pp. 1598–1600, May 2022.
Building Contrastive Explanations for Multi-Agent Team Formation
Athina Georgara, Juan A. Rodríguez-Aguilar, & Carles Sierra (2022). In AAMAS ’22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, pp. 516–524, May 2022.
Building Multi-Agent Environments with Theoretical Guarantees on the Learning of Ethical Policies
Manel Rodríguez Soto, Juan A. Rodríguez-Aguilar, & Maite López-Sánchez (2022). Adaptive and Learning Agents Workshop at AAMAS 2022 (ALA 2022).
Instilling moral value alignment by means of multi-objective reinforcement learning
Manel Rodríguez Soto, Marc Serramia, Maite López-Sánchez, & Juan A. Rodríguez-Aguilar (2022). Ethics and Information Technology, 24, 9 (2022).
Modeling three sources of uncertainty in assisted reproductive technologies with probabilistic graphical models
Jerónimo Hernández-González, Olga Valls, Adrián Torres-Martín, & Jesús Cerquides (2022). Computers in Biology and Medicine, 150, 106160.
Privacy-Aware Explanations for Team Formation
Athina Georgara, Juan A. Rodríguez-Aguilar, & Carles Sierra (2022). In PRIMA 2022: Principles and Practice of Multi-Agent Systems: 24th International Conference, Valencia, Spain, November 16–18, 2022, Proceedings, pp. 543–552.
On the dominant set selection problem and its application to value alignment
Marc Serramia, Maite López-Sánchez, Stefano Moretti, & Juan A. Rodríguez-Aguilar (2021). Autonomous Agents and Multi-Agent Systems, Volume 35, Issue 2, Oct 2021.
Parametrization invariant interpretation of priors and posteriors
Jesus Cerquides (2021). arXiv:2105.08304 [cs, math, stat].
A model to support collective reasoning: Formalization, analysis and computational assessment
Jordi Ganzer, Natalia Criado, Maite Lopez-Sanchez, Simon Parsons, Juan A. Rodriguez-Aguilar (2020). arXiv preprint arXiv:2007.06850.
On Simulating the Propagation and Countermeasures of Hate Speech in Social Networks
Lopez-Sanchez M, Müller A. On Simulating the Propagation and Countermeasures of Hate Speech in Social Networks. Applied Sciences. 2021; 11(24):12003.
A Citizen Science Approach for Analyzing Social Media With Crowdsourcing
C. Bono, M.O. Mülâyim, C. Cappiello, M.J. Carman, J. Cerquides, J.L. Fernandez-Marquez, M.R. Mondardini, E. Ramalli, B. Pernici, IEEE Access. 11 (2023) 15329–15347.