Pattern-based algorithms for Explainable AI

• 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)
• 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)

• Collegio di Ingegneria Gestionale e della Produzione. Componente
• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente

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

• DBDM - Database and Data Mining Group

Progetti finanziati da contratti commerciali

• Root Cause Analysis in Mechatronic Systems via Pattern Recognition and Causal AI , (2024-2025) - Responsabile Scientifico
  Ricerca Commerciale

• 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

• Pastor, Eliana (2021)
  Pattern-based algorithms for Explainable AI. relatore: BARALIS, ELENA MARIA; , 33. XXXIII Ciclo, P.: 167
  Doctoral Thesis
• Pastor, Eliana; de Alfaro, Luca; Baralis, ELENA MARIA (2021)
  Identifying Biased Subgroups in Ranking and Classification.
  Altro
• 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 (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
• 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)
• 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)
• 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
• 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)