Profile information

Dr.  Marco Fisichella

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

  1. 2024
  2. 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. p. 4091-4095 5 p.

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. Published

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

    Badar, M., Sikdar, S., Nejdl, W. & Fisichella, M., 2024, ECAI. 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

  14. 2023
  15. 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

  16. 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

  17. Published

    Towards sentiment and Temporal Aided Stance Detection of climate change tweets

    Upadhyaya, A., Fisichella, M. & Nejdl, W., Jul 2023, In: Information Processing and Management. 60, 4, 103325.

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

  18. Published

    CollabGraph: A graph-based collaborative search summary visualisation

    Ilkou, E., Tolmachova, T., Fisichella, M. & Taibi, D., 1 Jun 2023, In: IEEE Transactions on Learning Technologies. 16, 3, p. 382-398 17 p.

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

  19. Published

    A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets

    Upadhyaya, A., Fisichella, M. & Nejdl, W., 30 Apr 2023, ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. p. 3948-3958 11 p. (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).

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

  20. Published

    Disarming visualization-based approaches in malware detection systems

    Saidia Fascí, L., Fisichella, M., Lax, G. & Qian, C., Mar 2023, In: Computers and Security. 126, 13 p., 103062.

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

  21. Published

    Federated Learning to Safeguard Patients Data: A Medical Image Retrieval Case

    Singh, G., Violi, V. & Fisichella, M., Mar 2023, In: Big Data and Cognitive Computing. 7, 1, 18.

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

  22. Published

    A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values

    Brauer, S., Fisichella, M., Lax, G., Romeo, C. & Russo, A., 2 Feb 2023, Applied Intelligence and Informatics: Second International Conference, AII 2022, Reggio Calabria, Italy, September 1–3, 2022, Proceedings. Mahmud, M., Ieracitano, C., Mammone, N., Morabito, F. C. & Kaiser, M. S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 511-522 12 p. (Communications in Computer and Information Science; vol. 1724 CCIS).

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

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