
Dottorato in Ingegneria Informatica E Dei Sistemi , 33o ciclo (2017-2020)
Dottorato concluso nel 2021
Tesi:
Pattern-based algorithms for Explainable AI (Abstract)
Tutori:
Elena Maria Baralis
Presentazione della ricerca:
PosterProfilo
Argomento di ricerca
Pattern-based algorithms for Explainable AI
Interessi di ricerca
Biografia
Settore scientifico discliplinare
(Area 0009 - Ingegneria industriale e dell'informazione)
Premi e riconoscimenti
- ACM-W Europe Hackathon challenge - winner team. I and the members of my team won the ACM-W Europe Hackathon challenge "Work life balance & smart working: brilliant ideas and new tools for the aerospace industrial sector" sponsored by Avio Aero and CTNA. The ACM-W Europe Hackathon was in conjunction with the 6th ACM Celebration of Women in Computing: womENcourage 2019 from September 16 to 18, Rome. The goal of the challenge was to develop a project focused on Work and Life balance integration, embodying concepts suitable for exploiting technologies and intelligent work models, encouraging a cultural change in the companies. (2021)
- I won the student scholarship of the eXplainable AI (XAI) workshop at the 25th ACM KDD 2019 conference to present my work in Anchorage, Alaska, USA. (2021)
Didattica
Collegi dei Corsi di Studio
Insegnamenti
Corso di laurea magistrale
- Big data: architectures and data analytics. A.A. 2017/18, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Science and Database Technology. A.A. 2018/19, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Science and Database Technology. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Science and Database Technology. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data management and visualization. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data management and visualization. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Corso di laurea di 1° livello
- Basi di dati. A.A. 2018/19, MATEMATICA PER L'INGEGNERIA. Collaboratore del corso
- Basi di dati. A.A. 2018/19, INGEGNERIA GESTIONALE. Collaboratore del corso
Ricerca
Gruppi di ricerca
Progetti di ricerca
Progetti finanziati da contratti commerciali
- Root Cause Analysis in Mechatronic Systems via Pattern Recognition and Causal AI , (2024-2025) - Responsabile Scientifico
Ricerca Commerciale
Dottorandi
- Eleonora Poeta. Corso in Ingegneria Informatica E Dei Sistemi (ciclo 39, 2023-in corso)
Data science, Computer vision and AI Data science, Computer vision and AI Data science, Computer vision and AI - Alkis Koudounas. Corso in Ingegneria Informatica E Dei Sistemi (ciclo 38, 2022-in corso)
Argomento della ricerca: IA Interpretabile per la comprensione del linguaggio parlato
Data science, Computer vision and AI Data science, Computer vision and AI
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Pastor, Eliana (2021)
Pattern-based algorithms for Explainable AI. relatore: BARALIS, ELENA MARIA; , 33. XXXIII Ciclo, P.: 167
Doctoral Thesis - Pastor, Eliana; Gavgavian, Andrew; Baralis, Elena; de Alfaro, Luca (2021)
How Divergent Is Your Data?. In: 47th International Conference on Very Large Data Bases, pp. 2835-2838
Contributo in Atti di Convegno (Proceeding) - Pastor, Eliana; de Alfaro, Luca; Baralis, ELENA MARIA (2021)
Identifying Biased Subgroups in Ranking and Classification.
Altro - Pastor, Eliana; de Alfaro, Luca; Baralis, Elena (2021)
Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence. In: SIGMOD/PODS '21: International Conference on Management of Data, Virtual Event, China, June 20–25, 2021, pp. 1400-1412. ISBN: 978-1-4503-8343-1
Contributo in Atti di Convegno (Proceeding) - Giordano, Danilo; Pastor, Eliana; Giobergia, Flavio; Cerquitelli, Tania; Baralis, Elena; ... (2021)
Dissecting a Data-driven Prognostic Pipeline: A Powertrain use case. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 180 (115109). ISSN 0957-4174
Contributo su Rivista - Apiletti, Daniele; Pastor, Eliana (2020)
Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining. In: ELECTRONICS, vol. 9. ISSN 2079-9292
Contributo su Rivista - Apiletti, D.; Pastor, E.; Callà, R.; Baralis, E. (2020)
Evaluating espresso coffee quality by means of time-series feature engineering. In: Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020, Copenhagen (DNK), March 30, 2020. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding) - Attanasio, Giuseppe; Pastor, Eliana (2020)
PoliTeam@AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identification in Italian Tweets. In: Evaluation Campaign of Natural Language Processing and Speech tools for Italian, Online, 17 December 2020
Contributo in Atti di Convegno (Proceeding) - Pastor, E.; Baralis, E. (2020)
Bring Your Own Data to X-PLAIN. In: 2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020, usa, 2020, pp. 2805-2808. ISSN 0730-8078. ISBN: 9781450367356
Contributo in Atti di Convegno (Proceeding) - Pastor, Eliana; Baralis, ELENA MARIA (2019)
Enhancing Interpretability of Black Box Models by means of Local Rules. In: 6th ACM Celebration of Women in Computing: womENcourage 2019, Rome (Italy), 16-18 September 2019
Contributo in Atti di Convegno (Proceeding) - Pastor, Eliana (2018)
Deriving Local Internal Logic for Black Box Models. In: SEBD 2018 26th Italian Symposium on Advanced Database Systems, Castellaneta Marina (Italy), June 24-27, 2018, pp. 1-4
Contributo in Atti di Convegno (Proceeding)