Christel Sirocchi
Dr. Christel Sirocchi
- Since January 2025
Postdoctoral researcher at the Biomedical Network Science Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany. - November 2021 – November 2024
PhD candidate in Computer Science, University of Urbino Carlo Bo, Urbino, Italy. - September 2018 – September 2021
BSc Applied Informatics, University of Urbino Carlo Bo, Urbino, Italy. - April 2015 – September 2015
Erasmus traineeship, Department of Chemical Engineering, Boğaziçi University, Istanbul, Turkey. - November 2012 – March 2015
MSc Functional Genomics, University of Trieste, Trieste, Italy. - January 2014 – March 2015
Research Assistant, Centre for Synthetic and Systems Biology, University of Edinburgh, Edinburgh, United Kingdom. - March 2012 – August 2012
Erasmus exchange, Université libre de Bruxelles, Bruxelles, Belgium - September 2009 – November 2012
BSc Biotechnology, University of Ferrara, Ferrara, Italy.
2025
Molecular Fingerprints-Based Machine Learning for Metabolic Profiling
International Workshops of ECML PKDD 2023 (Turin, 18/09/2023 - 22/09/2023)
In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Cham: 2025
DOI: 10.1007/978-3-031-74640-6_8
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Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping
In: BioData Mining 18 (2025), Article No.: 15
ISSN: 1756-0381
DOI: 10.1186/s13040-025-00430-3
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2024
Hybrid Personal Medical Digital Assistant Agents
25th Workshop "From Objects to Agents", WOA 2024 (Bard, 08/07/2024 - 10/07/2024)
In: Marco Alderighi, Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi (ed.): Hybrid Personal Medical Digital Assistant Agents, Aachen: 2024
Open Access: https://ceur-ws.org/Vol-3735/paper_05.pdf
URL: https://ceur-ws.org/Vol-3735/paper_05.pdf
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Federated unsupervised random forest for privacy-preserving patient stratification
In: Bioinformatics 40 (2024), p. ii198-ii207
ISSN: 1367-4803
DOI: 10.1093/bioinformatics/btae382
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Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems
25th Workshop “From Objects to Agents” WOA (Bard, 08/07/2024 - 10/07/2024)
In: Marco Alderighi, Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi (ed.): Proceedings of the 25th Workshop "From Objects to Agents", Aachen: 2024
Open Access: https://ceur-ws.org/Vol-3735/paper_17.pdf
URL: https://ceur-ws.org/Vol-3735/paper_17.pdf
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Exploring machine learning for untargeted metabolomics using molecular fingerprints
In: Computer Methods and Programs in Biomedicine 250 (2024), p. 108163
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2024.108163
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Predicting metabolic responses in genetic disorders via structural representation in machine learning
In: Progress in Artificial Intelligence (2024)
ISSN: 2192-6352
DOI: 10.1007/s13748-024-00338-9
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Distributed Averaging for Accuracy Prediction in Networked Systems
19th International Workshop (Warschau, 03/06/2024 - 06/06/2024)
In: Modelling and Mining Networks, Cham: 2024
DOI: 10.1007/978-3-031-59205-8_9
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Medical-informed machine learning: integrating prior knowledge into medical decision systems
In: BMC Medical Informatics and Decision Making 24 (2024), Article No.: 186
ISSN: 1472-6947
DOI: 10.1186/s12911-024-02582-4
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Integrating Symbolic Knowledge and Machine Learning in Healthcare
8th International Joint Conference on Rules and Reasoning (Bucharest, 16/09/2024 - 18/09/2024)
In: Anisa Rula, Emanuel Sallinger, Ognjen Savkovic, Ioana Georgiana Ciuciu, Ioan Toma, Josiane Xavier Parreira, Radu Prodan, Hui Song, Ahmet Soylu (ed.): Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning co-located with 20th Reasoning Web Summer School (RW 2024) as part of Declarative AI 2024, Aachen: 2024
Open Access: https://ceur-ws.org/Vol-3816/paper45.pdf
URL: https://ceur-ws.org/Vol-3816/paper45.pdf
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Investigating Participation Mechanisms in EU Code Week
In: ACM Transactions on Computing Education 24 (2024), p. 1-31
ISSN: 1946-6226
DOI: 10.1145/3632531
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Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) (Santiago de Compostela, 20/10/2024 - 20/10/2024)
In: Gianluca Zaza, Gabriella Casalino, Giovanna Castellano (ed.): Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), Aachen: 2024
Open Access: https://ceur-ws.org/Vol-3831/paper15.pdf
URL: https://ceur-ws.org/Vol-3831/paper15.pdf
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2023
Community-Based Gossip Algorithm for Distributed Averaging
23rd IFIP WG 6.1 International Conference, DAIS 2023, Held as Part of the 18th International Federated Conference on Distributed Computing Techniques, DisCoTec 2023 (Lissabon, 19/06/2023 - 23/06/2023)
In: Distributed Applications and Interoperable Systems, Cham: 2023
DOI: 10.1007/978-3-031-35260-7_3
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2022
Topological network features determine convergence rate of distributed average algorithms
In: Scientific Reports 12 (2022), Article No.: 21831
ISSN: 2045-2322
DOI: 10.1038/s41598-022-25974-w
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Large-Scale Assessment of Mobile Crowdsensed Data: A Case Study
In: IEEE Access 10 (2022), p. 54681-54696
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2022.3176437
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