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Available thesis (and stages)
1. Biomedical/socio-clinical data analysis
- Data mining of clinical data for the prediction of serious unexpected events
- Clinical predictions using heterogeneous data of patients (text, codes, parameters)
- Frailty index computation using Machine Learning
- PubMed full-text dataset crawling and scraping
2. Temporal Information Retrieval and Mining
- Tree index for access and search of time intervals in text
- Evaluation of Temporal Word Embeddings in web archives for text classification
3. Text Mining
- Text classification in the International Classification of Diseases (ICD-9, ICD-10) for Emergency Department diagnoses
- Domain-specific word embeddings for ICD (semi)automatic coding of discharge texts
4. Cloud/social networks/digital forensics
- Data exploration tool for investigating social networks of crime-involved subjects
- Text, pictures and sensors digital footprints analysis
5. Copyright and watermarking
- Text authorship attribution by learning characterizing features of writing styles from big datasets
- Text watermarking and digital rights management for copyright protection
- Fake news tracking using watermarking to certify the source reliability
6. Similarity Distance for plagiarism detection in source code, text, human-computer interaction
Data exploration tool for investigating social networks of crime-involved subjects
Text watermarking/attribution in Social Media
Data exploration tool for investigating social networks of crime-involved subjects
Text watermarking/attribution in Social Media
Published on: June 27 2019
