Dr Federico Liberatore
(he/him)
Senior Lecturer in Artificial Intelligence and Data Analytics
School of Computer Science and Informatics
- Available for postgraduate supervision
Overview
Federico Liberatore is a Senior Lecturer in Data & Knowledge Engineering at the School of Computer Science and Informatics, Cardiff University. He is also a Fulbright Alumnus and the recipient of several research awards. His main areas of expertise are Combinatorial Optimization and Data Science.
Presently, his research focuses on mathematical models for policing, security, and personal safety. He is actively collaborating with law enforcement agencies on projects including predictive policing, smart patrolling, and femicides prevention.
Also, Federico has relevant researcher experience in Disaster Management and Humanitarian Logistics. He has applied mathematical models to mitigate the effect of natural and intentional disasters and to plan for emergency response operations.
Finally, Federico is applying ad hoc Machine Learning models to detect life-threatening conditions and estimate their severity and the risk for patients.
Publication
2024
- Liberatore, F., Quijano-Sanchez, L. and Camacho-Collados, M. 2024. Analisis de una red criminal. In: Fernandez-Aviles, G. and Montero, J. eds. Fundamentos de ciencia de datos con R. McGraw Hill, pp. 827-833.
- Lewis-Cheetham, J., Li, Y., Liberatore, F. and Wang, Q. 2024. The impact of transaction costs on forecast-based trading strategy performance. Presented at: CIFEr 2024: IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, Hoboken, New Jersey, USA, 22-23 October 2024.
2023
- Juez-Hernandez, R., Quijano-Sánchez, L., Liberatore, F. and Gomez, J. 2023. AGORA: An intelligent system for the anonymization, information extraction and automatic mapping of sensitive documents. Applied Soft Computing 145, article number: 110540. (10.1016/j.asoc.2023.110540)
- Liberatore, F., Camacho-Collados, M. and Quijano-Sánchez, L. 2023. Towards social fairness in smart policing: leveraging territorial, racial, and workload fairness in the police districting problem. Socio-Economic Planning Sciences 87(Part A), article number: 101556. (10.1016/j.seps.2023.101556)
- Valle-Cano, G. d., Quijano-Sánchez, L., Liberatore, F. and Gómez, J. 2023. SocialHaterBERT: A dichotomous approach for automatically detecting hate speech on Twitter through textual analysis and user profiles. Expert Systems with Applications 216, article number: 119446. (10.1016/j.eswa.2022.119446)
- Parkinson, E. et al. 2023. Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq data. Frontiers in Genetics 14, article number: 1158352. (10.3389/fgene.2023.1158352)
- Oruganti, S. et al. 2023. Immune and metabolic markers for identifying and investigating severe Coronavirus disease and Sepsis in children and young people (pSeP/COVID ChYP study): protocol for a prospective cohort study. BMJ Open 13, article number: e067002. (10.1136/bmjopen-2022-067002)
- Guzman Olivares, D., Quijano, L. and Liberatore, F. 2023. Enhancing information retrieval in fact extraction and verification. Presented at: Sixth Fact Extraction and VERification Workshop (FEVER), Dubrovnik, Croatia. Association for Computational Linguistics pp. 34-48.
2022
- Liberatore, F., Camacho-Collados, M. and Quijano-Sánchez, L. 2022. Equity in the Police Districting Problem: balancing territorial and racial fairness in patrolling operations. Journal of Quantitative Criminology 38, pp. 1-25. (10.1007/s10940-021-09512-x)
2021
- Quijano-Sánchez, L., Liberatore, F., Rodríguez-Lorenzo, G., Lillo, R. E. and González-Álvarez, J. L. 2021. A twist in intimate partner violence risk assessment tools: gauging the contribution of exogenous and historical variables. Knowledge-Based Systems 234, article number: 107586. (10.1016/j.knosys.2021.107586)
- Camacho Collados, J., Liberatore, F. and Ushio, A. 2021. Back to the basics: a quantitative analysis of statistical and graph-based term weighting schemes for keyword extraction. Presented at: EMNLP 2021 Conference, online and at Punta Cana, Dominican Republic, 7-11 November 2021Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 8089-8103.
- Liberatore, F., León, J., Hearne, J. and Vitoriano, B. 2021. Fuel management operations planning in fire management: A bilevel optimisation approach. Safety Science 137, article number: 105181. (10.1016/j.ssci.2021.105181)
2020
- Monzón, J., Liberatore, F. and Vitoriano, B. 2020. A mathematical pre-disaster model with uncertainty and multiple criteria for facility location and network fortification. Mathematics 8(4), article number: 529. (10.3390/math8040529)
- Liberatore, F., Camacho-Collados, M. and Vitoriano, B. 2020. Police districting problem: literature review and annotated bibliography. In: Rios-Mercado, R. Z. ed. Optimal Districting and Territory Design., Vol. 284. International Series in Operations Research & Management Science Kluwer Academic Publishers, pp. 9-29., (10.1007/978-3-030-34312-5_2)
2019
- Pereira-Kohatsu, J. C., Quijano-Sánchez, L., Liberatore, F. and Camacho-Collados, M. 2019. Detecting and monitoring hate speech in Twitter. Sensors 19(21), article number: 4654. (10.3390/s19214654)
- Torrecilla, J. L., Quijano-Sánchez, L., Liberatore, F., López-Ossorio, J. J. and González-Álvarez, J. L. 2019. Evolution and study of a copycat effect in intimate partner homicides: A lesson from Spanish femicides. PLoS ONE 14(6), article number: e0217914. (10.1371/journal.pone.0217914)
2018
- Liberatore, F., Quijano-Sanchez, L. and Camacho-Collados, M. 2018. Applications of data science in policing: VeriPol as an investigation support tool. Presented at: CEPOL 2017 Research and Science Conference, Budapest, Hungary, 28-30 November 2017 Presented at Nogala, D. et al. eds.Innovations in Law Enforcement – Implications for practice, education and civil society, Vol. No 4 S. European Union Agency for Law Enforcement Training (CEPOL) pp. 89-96.
- Quijano-Sánchez, L., Liberatore, F., Camacho Collados, J. and Camacho-Collados, M. 2018. Applying automatic text-based detection of deceptive language to police reports: Extracting behavioral patterns from a multi-step classification model to understand how we lie to the police. Knowledge-Based Systems 149, pp. 155-168. (10.1016/j.knosys.2018.03.010)
2017
- Liberatore, F. and Quijano-Sanchez, L. 2017. What do we really need to compute the Tie Strength? An empirical study applied to Social Networks. Computer Communications 110, pp. 59. (10.1016/j.comcom.2017.06.001)
- Quijano-Sanchez, L. and Liberatore, F. 2017. The BIG CHASE: A decision support system for client acquisition applied to financial networks. Decision Support Systems 98, pp. 49-58. (10.1016/j.dss.2017.04.007)
2016
- Liberatore, F., Mora, A. M., Castillo, P. A. and Merelo, J. J. 2016. Comparing Heterogeneous and Homogeneous Flocking Strategies for the Ghost Team in the Game of Ms. Pac-Man. IEEE Transactions on Computational Intelligence and AI in Games 8(3), pp. 278-287. (10.1109/TCIAIG.2015.2425795)
- Liberatore, F. and Camacho-Collados, M. 2016. A Comparison of Local Search Methods for the Multicriteria Police Districting Problem on Graph. Mathematical Problems in Engineering 2016, pp. 1-13., article number: 3690474. (10.1155/2016/3690474)
- Merelo, J. J. et al. 2016. The uncertainty quandary: a study in the context of the evolutionary optimization in games and other uncertain environments. In: Transactions on Computational Collective Intelligence XXIV. Lecture Notes in Computer Science Vol. 9770. Springer, pp. 40-60., (10.1007/978-3-662-53525-7_3)
2015
- Camacho-Collados, M., Liberatore, F. and Angulo, J. 2015. A multi-criteria Police Districting Problem for the efficient and effective design of patrol sector. European Journal of Operational Research 246(2), pp. 674-684. (10.1016/j.ejor.2015.05.023)
- Camacho-Collados, M. and Liberatore, F. 2015. A decision support system for predictive police patrolling. Decision Support Systems 75, pp. 25-37. (10.1016/j.dss.2015.04.012)
2014
- Liberatore, F., Mora, A. M., Castillo, P. A. and Guervós, J. J. M. 2014. Evolving Evil: Optimizing Flocking Strategies Through Genetic Algorithms for the Ghost Team in the Game of Ms. Pac-Man. Presented at: EvoApplications 2014, April 23-25Applications of Evolutionary Computation, Vol. 8602. Lecture Notes in Computer Science Berlin, Heidelberg: Springer Verlag pp. 313-324., (10.1007/978-3-662-45523-4_26)
- Liberatore, F., Ortuño, M., Tirado, G., Vitoriano, B. and Scaparra, M. 2014. A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Computers and Operations Research 42, pp. 3-13. (10.1016/j.cor.2012.03.019)
Articles
- Juez-Hernandez, R., Quijano-Sánchez, L., Liberatore, F. and Gomez, J. 2023. AGORA: An intelligent system for the anonymization, information extraction and automatic mapping of sensitive documents. Applied Soft Computing 145, article number: 110540. (10.1016/j.asoc.2023.110540)
- Liberatore, F., Camacho-Collados, M. and Quijano-Sánchez, L. 2023. Towards social fairness in smart policing: leveraging territorial, racial, and workload fairness in the police districting problem. Socio-Economic Planning Sciences 87(Part A), article number: 101556. (10.1016/j.seps.2023.101556)
- Valle-Cano, G. d., Quijano-Sánchez, L., Liberatore, F. and Gómez, J. 2023. SocialHaterBERT: A dichotomous approach for automatically detecting hate speech on Twitter through textual analysis and user profiles. Expert Systems with Applications 216, article number: 119446. (10.1016/j.eswa.2022.119446)
- Parkinson, E. et al. 2023. Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq data. Frontiers in Genetics 14, article number: 1158352. (10.3389/fgene.2023.1158352)
- Oruganti, S. et al. 2023. Immune and metabolic markers for identifying and investigating severe Coronavirus disease and Sepsis in children and young people (pSeP/COVID ChYP study): protocol for a prospective cohort study. BMJ Open 13, article number: e067002. (10.1136/bmjopen-2022-067002)
- Liberatore, F., Camacho-Collados, M. and Quijano-Sánchez, L. 2022. Equity in the Police Districting Problem: balancing territorial and racial fairness in patrolling operations. Journal of Quantitative Criminology 38, pp. 1-25. (10.1007/s10940-021-09512-x)
- Quijano-Sánchez, L., Liberatore, F., Rodríguez-Lorenzo, G., Lillo, R. E. and González-Álvarez, J. L. 2021. A twist in intimate partner violence risk assessment tools: gauging the contribution of exogenous and historical variables. Knowledge-Based Systems 234, article number: 107586. (10.1016/j.knosys.2021.107586)
- Liberatore, F., León, J., Hearne, J. and Vitoriano, B. 2021. Fuel management operations planning in fire management: A bilevel optimisation approach. Safety Science 137, article number: 105181. (10.1016/j.ssci.2021.105181)
- Monzón, J., Liberatore, F. and Vitoriano, B. 2020. A mathematical pre-disaster model with uncertainty and multiple criteria for facility location and network fortification. Mathematics 8(4), article number: 529. (10.3390/math8040529)
- Pereira-Kohatsu, J. C., Quijano-Sánchez, L., Liberatore, F. and Camacho-Collados, M. 2019. Detecting and monitoring hate speech in Twitter. Sensors 19(21), article number: 4654. (10.3390/s19214654)
- Torrecilla, J. L., Quijano-Sánchez, L., Liberatore, F., López-Ossorio, J. J. and González-Álvarez, J. L. 2019. Evolution and study of a copycat effect in intimate partner homicides: A lesson from Spanish femicides. PLoS ONE 14(6), article number: e0217914. (10.1371/journal.pone.0217914)
- Quijano-Sánchez, L., Liberatore, F., Camacho Collados, J. and Camacho-Collados, M. 2018. Applying automatic text-based detection of deceptive language to police reports: Extracting behavioral patterns from a multi-step classification model to understand how we lie to the police. Knowledge-Based Systems 149, pp. 155-168. (10.1016/j.knosys.2018.03.010)
- Liberatore, F. and Quijano-Sanchez, L. 2017. What do we really need to compute the Tie Strength? An empirical study applied to Social Networks. Computer Communications 110, pp. 59. (10.1016/j.comcom.2017.06.001)
- Quijano-Sanchez, L. and Liberatore, F. 2017. The BIG CHASE: A decision support system for client acquisition applied to financial networks. Decision Support Systems 98, pp. 49-58. (10.1016/j.dss.2017.04.007)
- Liberatore, F., Mora, A. M., Castillo, P. A. and Merelo, J. J. 2016. Comparing Heterogeneous and Homogeneous Flocking Strategies for the Ghost Team in the Game of Ms. Pac-Man. IEEE Transactions on Computational Intelligence and AI in Games 8(3), pp. 278-287. (10.1109/TCIAIG.2015.2425795)
- Liberatore, F. and Camacho-Collados, M. 2016. A Comparison of Local Search Methods for the Multicriteria Police Districting Problem on Graph. Mathematical Problems in Engineering 2016, pp. 1-13., article number: 3690474. (10.1155/2016/3690474)
- Camacho-Collados, M., Liberatore, F. and Angulo, J. 2015. A multi-criteria Police Districting Problem for the efficient and effective design of patrol sector. European Journal of Operational Research 246(2), pp. 674-684. (10.1016/j.ejor.2015.05.023)
- Camacho-Collados, M. and Liberatore, F. 2015. A decision support system for predictive police patrolling. Decision Support Systems 75, pp. 25-37. (10.1016/j.dss.2015.04.012)
- Liberatore, F., Ortuño, M., Tirado, G., Vitoriano, B. and Scaparra, M. 2014. A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Computers and Operations Research 42, pp. 3-13. (10.1016/j.cor.2012.03.019)
Book sections
- Liberatore, F., Quijano-Sanchez, L. and Camacho-Collados, M. 2024. Analisis de una red criminal. In: Fernandez-Aviles, G. and Montero, J. eds. Fundamentos de ciencia de datos con R. McGraw Hill, pp. 827-833.
- Liberatore, F., Camacho-Collados, M. and Vitoriano, B. 2020. Police districting problem: literature review and annotated bibliography. In: Rios-Mercado, R. Z. ed. Optimal Districting and Territory Design., Vol. 284. International Series in Operations Research & Management Science Kluwer Academic Publishers, pp. 9-29., (10.1007/978-3-030-34312-5_2)
- Merelo, J. J. et al. 2016. The uncertainty quandary: a study in the context of the evolutionary optimization in games and other uncertain environments. In: Transactions on Computational Collective Intelligence XXIV. Lecture Notes in Computer Science Vol. 9770. Springer, pp. 40-60., (10.1007/978-3-662-53525-7_3)
Conferences
- Lewis-Cheetham, J., Li, Y., Liberatore, F. and Wang, Q. 2024. The impact of transaction costs on forecast-based trading strategy performance. Presented at: CIFEr 2024: IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, Hoboken, New Jersey, USA, 22-23 October 2024.
- Guzman Olivares, D., Quijano, L. and Liberatore, F. 2023. Enhancing information retrieval in fact extraction and verification. Presented at: Sixth Fact Extraction and VERification Workshop (FEVER), Dubrovnik, Croatia. Association for Computational Linguistics pp. 34-48.
- Camacho Collados, J., Liberatore, F. and Ushio, A. 2021. Back to the basics: a quantitative analysis of statistical and graph-based term weighting schemes for keyword extraction. Presented at: EMNLP 2021 Conference, online and at Punta Cana, Dominican Republic, 7-11 November 2021Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 8089-8103.
- Liberatore, F., Quijano-Sanchez, L. and Camacho-Collados, M. 2018. Applications of data science in policing: VeriPol as an investigation support tool. Presented at: CEPOL 2017 Research and Science Conference, Budapest, Hungary, 28-30 November 2017 Presented at Nogala, D. et al. eds.Innovations in Law Enforcement – Implications for practice, education and civil society, Vol. No 4 S. European Union Agency for Law Enforcement Training (CEPOL) pp. 89-96.
- Liberatore, F., Mora, A. M., Castillo, P. A. and Guervós, J. J. M. 2014. Evolving Evil: Optimizing Flocking Strategies Through Genetic Algorithms for the Ghost Team in the Game of Ms. Pac-Man. Presented at: EvoApplications 2014, April 23-25Applications of Evolutionary Computation, Vol. 8602. Lecture Notes in Computer Science Berlin, Heidelberg: Springer Verlag pp. 313-324., (10.1007/978-3-662-45523-4_26)
Research
Methodology:
- Combinatorial Optimization
- Data Science
Application Fields:
- Policing, Security and Public Safety
- Disaster Management and Humanitarian Logistics
Teaching
Current Teaching:
- CMT115: Python for Computation, Cardiff School of Computer Science and Informatics.
- CMT120: Fundamentals of Programming, Cardiff School of Computer Science and Informatics.
Module Leader of CMT115 and CMT120, Cardiff School of Computer Science and Informatics.
Programme Lead of MSc in Computing, Cardiff School of Computer Science and Informatics.
Biography
- Since August 2023, Senior Lecturer in Artificial Intelligence & Data Analytics, School of Computer Science and Informatics, Cardiff University.
- September 2019 - July 2023, Lecturer in Data & Knowledge Engineering, School of Computer Science and Informatics, Cardiff University.
- October 2017 - August 2019, Lecturer in Operational Research, Department of Statistics and Operational Research, Complutense University of Madrid, Spain.
- September 2015 - September 2017, Researcher in Big Data, IBiDat – Big Data Institute, Charles III University of Madrid, Spain.
- August 2014 - July 2015, Fulbright Finmeccanica Scholar, USC Viterbi School of Engineering,
University of Southern California.
- September 2010 - August 2013, Visiting Lecturer, King Juan Carlos University, Madrid, Spain.
- September 2007 - August 2010, PhD student and Teaching Assistant, University of Kent.
Supervisions
- Applications of Machine Learning
- Combinatorial Optimization
- Disaster Management
- Humanitarian Logistics
- Policing, Safety, and Public Security
Current supervision
James Lewis-Cheetham
Research student
Contact Details
LiberatoreF@cardiff.ac.uk
+44 29225 11736
Abacws, Room 4.61, Senghennydd Road, Cathays, Cardiff, CF24 4AG
+44 29225 11736
Abacws, Room 4.61, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Research themes
Specialisms
- Operational research
- Data science
- Machine learning
- Policing
- Disaster and emergency management