A5052334463- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Topic Modeling
- Biomedical Text Mining and Ontologies
- Information Retrieval and Search Behavior
- Advanced Text Analysis Techniques
- Data Quality and Management
- Text and Document Classification Technologies
- Scientific Computing and Data Management
- Web Data Mining and Analysis
- linguistics and terminology studies
- Image Retrieval and Classification Techniques
- Library Science and Information Systems
- Machine Learning and Data Classification
- Research Data Management Practices
- Data Management and Algorithms
- Advanced Database Systems and Queries
- Linguistic Variation and Morphology
- Geographic Information Systems Studies
- Data Visualization and Analytics
- Wireless Signal Modulation Classification
- Speech and dialogue systems
- Indoor and Outdoor Localization Technologies
- Algorithms and Data Compression
- Knowledge Management and Technology
University of Padua
2015-2024
Radboud University Nijmegen
2023
Radboud University Medical Center
2023
ORCID
2021-2022
University of Hildesheim
2010
This report documents the program and outcomes of Dagstuhl Seminar 23031 "Frontiers Information Access Experimentation for Research Education", which brought together 38 participants from 12 countries. The seminar addressed technology-enhanced information access (information retrieval, recommender systems, natural language processing) specifically focused on developing more responsible experimental practices leading to valid results, both research as well scientific education. featured a...
Background: Tens of glycemic variability (GV) indices are available in the literature to characterize dynamic properties glucose concentration profiles from continuous monitoring (CGM) sensors. However, how exploit plethora GV for classifying subjects is still controversial. For instance, basic problem using automatically determine if subject healthy rather than affected by impaired tolerance (IGT) or type 2 diabetes (T2D), unaddressed. Here, we analyzed feasibility CGM-based distinguish...
In-region location verification (IRLV) aims at verifying whether a user is inside region of interest (ROI). In wireless networks, IRLV can exploit the features channel between and set trusted access points. practice, feature statistics not available we resort to machine learning (ML) solutions for IRLV. We first show that based on either neural networks (NNs) or support vector machines (SVMs) with typical loss functions are Neyman-Pearson (N-P)-optimal convergence sufficiently complex large...
Exa-scale volumes of medical data have been produced for decades. In most cases, the diagnosis is reported in free text, encoding knowledge that still largely unexploited. order to allow decoding included reports, we propose an unsupervised extraction system combining a rule-based expert with pre-trained Machine Learning (ML) models, namely Semantic Knowledge Extractor Tool (SKET). Combining techniques and ML models provides high accuracy results extraction. This work demonstrates viability...
The Precision Medicine (PM) track at the Text REtrieval Conference (TREC) focuses on providing useful precision medicine-related information to clinicians treating cancer patients. PM gives unique opportunity evaluate medical IR systems using same set of topics two different collections: scientific literature and clinical trials. In paper, we take advantage this propose state-of-the-art query expansion reduction techniques identify whether a particular approach can be helpful in both trial...