Profile information

Dr.  Marco Fisichella

https://orcid.org/0000-0002-6894-1101
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Publications

  1. 2025
  2. Published

    Fed-FUEL: fairness and utility enhancing agnostic federated learning framework

    Badar, M., Younis, R., Sikdar, S., Nejdl, W. & Fisichella, M., Nov 2025, In: Data Mining and Knowledge Discovery. 39, 6, 84.

    Research output: Contribution to journal › Article › Research › peer review

  3. Published

    Interpretable zero-shot stance detection with proactive content intervention

    Upadhyaya, A., Nejdl, W. & Fisichella, M., Nov 2025, In: Information Processing and Management. 62, 6, 104223.

    Research output: Contribution to journal › Article › Research › peer review

  4. Published

    An open-source platform for Resilient Secure Digital Identities: The RECITALS project

    Stamoulis, G., Pavlou, D., Chousos, K., Koubarakis, M., Papadakis, G., Papapostolou, C., Smaragdakis, G., Erkin, Z., Kromes, R., Palpanas, T., Benbernou, S., Ouziri, M., Boubetra, A., Correia, P., Pedro, J., Constantin, I., Coica, L., Fisichella, M., Upadhyaya, A., Pandit, H. & Dimitriou, K., 22 Sept 2025, Rule Challenge, Doctoral Consortium, Industry Track, and Networking Session 2025: Companion Proceedings of the 9th International Joint Conference on Rules and Reasoning (RuleML+RR 2025) also co-located with 21th Reasoning Web Summer School (RW 2025) and 17th DecisionCAMP 2025 as part of Declarative AI 2025. 6 p. (CEUR Workshop Proceedings; vol. 4083).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  5. Published

    Fedflow: a personalized federated learning framework for passenger flow prediction

    Rocco di Torrepadula, F., Fisichella, M., Di Martino, S. & Mazzocca, N., Jul 2025, In: Machine learning. 114, 7, 26 p., 166.

    Research output: Contribution to journal › Article › Research › peer review

  6. Published

    1st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media Production

    Fulantelli, G., Taibi, D., Splendore, S. & Fisichella, M., 10 Mar 2025, Proceedings of the 18th ACM International Conference on Web Search and Data Mining: WSDM 2025. p. 1114-1115 2 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  7. Published

    Enhancing Online Climate Discourse: A Two-Stage Framework for Climate Content Categorization and Moderation

    Upadhyaya, A., Nejdl, W. & Fisichella, M., 2025, Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025. Kwok, J. (ed.). p. 9890-9898 9 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  8. 2024
  9. Published

    Harnessing Empathy and Ethics for Relevance Detection and Information Categorization in Climate and COVID-19 Tweets

    Upadhyaya, A., Nejdl, W. & Fisichella, M., 21 Oct 2024, CIKM 2024 : Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 4091-4095 5 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  10. Published

    A Trustworthy Approach to Classify and Analyze Epidemic-Related Information From Microblogs

    Nguyen, T. H., Fisichella, M. & Rudra, K., Oct 2024, In: IEEE Transactions on Computational Social Systems. 11, 5, p. 6229-6241 13 p.

    Research output: Contribution to journal › Article › Research › peer review

  11. Published

    LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios

    Nguyen, T. T., Nguyen, H. H., Sartipi, M. & Fisichella, M., Sept 2024, In: Machine learning. 113, 9, p. 6811–6837 27 p.

    Research output: Contribution to journal › Article › Research › peer review

  12. Published

    Open benchmark for filtering techniques in entity resolution

    Neuhof, F., Fisichella, M., Papadakis, G., Nikoletos, K., Augsten, N., Nejdl, W. & Koubarakis, M., Sept 2024, In: VLDB Journal. 33, 5, p. 1671-1696 26 p.

    Research output: Contribution to journal › Article › Research › peer review

  13. Published

    Does a language model “understand” high school math? A survey of deep learning based word problem solvers

    Sundaram, S. S., Gurajada, S., Padmanabhan, D., Abraham, S. S. & Fisichella, M., 11 Jul 2024, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 14, 4, 27 p., e1534.

    Research output: Contribution to journal › Review article › Research › peer review

  14. Published

    FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning

    Badar, M., Sikdar, S., Nejdl, W. & Fisichella, M., 24 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 10, p. 10962-10970 9 p.

    Research output: Contribution to journal › Conference article › Research › peer review

  15. Published

    Fair-CMNB: Advancing Fairness-Aware Stream Learning with Naïve Bayes and Multi-Objective Optimization

    Badar, M. & Fisichella, M., 31 Jan 2024, In: Big Data and Cognitive Computing. 8, 2, 20 p., 16.

    Research output: Contribution to journal › Article › Research › peer review

  16. Published

    Using ChatGPT to Enhance Students’ Behavior in Social Media via the Moral Foundation Theory

    Schicchi, D., Upadhyaya, A., Fisichella, M. & Taibi, D., 2 Jan 2024, AIxEDU 2023: High-performance Artificial Intelligence Systems in Education. 8 p. (CEUR Workshop Proceedings; vol. 3605).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  17. Published

    Real-Time Multi-Vehicle Multi-Camera Tracking with Graph-Based Tracklet Features

    Nguyen, T. T., Nguyen, H. H., Sartipi, M. & Fisichella, M., Jan 2024, In: Transportation research record. 2678, 1, p. 296-308 13 p.

    Research output: Contribution to journal › Article › Research › peer review

  18. Published

    Multi-Vehicle Multi-Camera Tracking with Graph-Based Tracklet Features

    Nguyen, T. T., Nguyen, H. H., Sartipi, M. & Fisichella, M., 2024, In: IEEE transactions on multimedia. 26, p. 972-983 12 p.

    Research output: Contribution to journal › Article › Research › peer review

  19. Published

    Target Classification through ISAR for Autonomous Vehicles based on Federated Learning

    Violi, V., Usai, P., Brizi, D., Singh, G., Fisichella, M., Isernia, T. & Monorchio, A., 2024, 18th European Conference on Antennas and Propagation: EuCAP 2024. Institute of Electrical and Electronics Engineers Inc., 5 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  20. Published

    TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning.

    Badar, M., Sikdar, S., Nejdl, W. & Fisichella, M., 2024, ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarin-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). p. 2370-2377 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  21. 2023
  22. Published

    FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework

    Younis, R., Ahmadi, Z., Hakmeh, A. & Fisichella, M., 4 Aug 2023, KDD `23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), p. 3140-3150 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  23. Published

    FAC-fed: Federated adaptation for fairness and concept drift aware stream classification

    Badar, M., Nejdl, W. & Fisichella, M., Aug 2023, In: Machine learning. 112, 8, p. 2761-2786 26 p.

    Research output: Contribution to journal › Article › Research › peer review

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