Elisabetta Ronchieri

Main Topics:

• Anomaly detection
• ML accountability, explainability
• Text Analysis
• Software Quality
  

Please contact me.

Thesis in progress

• Sofia Camilla Todeschini on text analysis
• Maximilian Schlake
• Manuel Rech
• Simone Mirabella on pollutants
• Jovan Kalyango, about text analysis for user support application

Thesis completed

• Aurela Sinanaj, a.a. 2022/2023, Multi-class text classification of tweets in the context of natural and human-made disasters using Natural Language Processing techniques
• Giovanni Zurlo, a.a. 2022/2023, AI-based Medical Imaging of COVID-19: A Visual and Textual Analysis of Scientific Literature
• Giovanni Battista Esposito, a.a. 2022/2023, Zero-shot learning for automated screening in systematic reviews
  
• Giorgia Castelli, a.a. 2022/2023, Forecasting Surgical Waiting Times: A Data Science and Machine Learning Approach for Enhanced Resource Management
  
• Sara Quinto, a.a. 2022/2023, Outlier Detection on Energy Consumption Data for Production Process Anomalies Classification
  
• Mirko Di Stefano, a.a. 2021/2022, Dynamic Cross-Correlation Analysis between COVID-19 and Air Pollutants Time Series: a Case Study on Lazio and Lombardy Regions during the First Pandemic Wave
• Nicola Ronzoni, a.a. 2021/2022, Outlier detection in water pump sensors
• Laura Viola, a.a. 2021/2022, Detecting anomalies in a data center using heterogeneous data: a domain-specific dictionary approach
• Lorenzo Cesari, a.a. 2021/2022, Statistical Monitoring for Packaging Machines
• Filippo Pacinelli, a.a. 2021/2022, Unsupervised Machine Learning Techniques for Anomaly Detection with Multi-Source Data
• Leonardo Scarso, a.a. 2021/2022, Tweet Analysis for Detecting Attitudes Towards COVID-19 Vaccines: A Case Study on Pfizer/Biontech, Moderna, Astrazeneca/Vaxzevria, Johnson & Johnson
• Clara Biagi, a.a. 2021/2022, Accountability in Machine Learning: Comparing Methods for Mitigating Gender Bias in Word Embedding
• Zhikang Qin, a.a. 2021/2022, Tracking pandemic events through social media
• Shunfang Wang, a.a. 2021/2022, Assessing environmental conditions in China during the COVID-19 epidemic period
  
• Rossana Di Staso, a.a. 2020/2021, Assessing the relation between the spreading of COVID-19, and air quality and meteorological data in Emilia-Romagna, Italy
• Gianluca Bertaccini, a.a. 2020/2021, Spectral and neural gas clustering techniques for
  software defect prediction: performance evaluation with different feature selection methods
• Gaetano Aloisio, a.a. 2020/2021, Missing values imputation and supervised classifiers: an extensive analysis
  
• Andrea Marzocchi, a.a. 2020/2021, Anomaly Detection using NLP Techniques and ML Models
• Yue Yang, a.a. 2020/2021, Application of Natural Language Processing and Machine learning techniques on unstructured log data of open source software on GitHub