- Semantic Web and Ontologies
- Scientific Computing and Data Management
- Research Data Management Practices
- Advanced Graph Neural Networks
- Graph Theory and Algorithms
- Data Mining Algorithms and Applications
- Data Management and Algorithms
- Genetics, Bioinformatics, and Biomedical Research
- Artificial Intelligence in Healthcare
- Data Quality and Management
- COVID-19 diagnosis using AI
- Bioinformatics and Genomic Networks
- Complex Network Analysis Techniques
- Geographic Information Systems Studies
- Biomedical Text Mining and Ontologies
- Advanced Database Systems and Queries
- Web Data Mining and Analysis
- Technology Use by Older Adults
- Rough Sets and Fuzzy Logic
- Opinion Dynamics and Social Influence
- Peer-to-Peer Network Technologies
- Service-Oriented Architecture and Web Services
- Computational Drug Discovery Methods
- Natural Language Processing Techniques
- Engineering Applied Research
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
2018-2323
Institute of Scientific and Technical Information of China
2020-2323
National Research Council
2012-2022
Bielefeld University
2019
Institute of Informatics and Telematics
2011-2016
Istituto di Fisiologia Clinica
2016
University of Pisa
2003-2010
Laboratoire d'Informatique de Paris-Nord
2007-2008
Biological networks play an increasingly important role in the exploration of functional modularity and cellular organization at a systemic level. Quite often first tools used to analyze these are clustering algorithms. We concentrate here on specific task predicting protein complexes (PC) large protein-protein interaction (PPIN). Currently, many state-of-the-art algorithms work well for small or moderate size. However, their performance much larger networks, which becoming common modern...
Social networks have demonstrated in the last few years to be a powerful and flexible concept useful represent analyze data emerging form social interactions activities. The study of these can thus provide deeper understanding many emergent global phenomena. amount available is growing by day, this poses computational challenging problems for their analysis. In fact analysis tools suitable small medium sized are inefficient large networks. computation betweenness centrality index well...
Since 2012, the "Open Researcher and Contributor ID" organisation (ORCID) has been successfully running a worldwide registry, with aim of "providing unique, persistent identifier for individuals to use as they engage in research, scholarship, innovation activities". Any service scholarly communication ecosystem (e.g., publishers, repositories, CRIS systems, etc.) can contribute non-ambiguous record by including, during metadata deposition, referrals iDs ORCID registry. The OpenAIRE Research...
Classification is one of the most useful techniques for extracting meaningful knowledge from databases. Classifiers, e.g. decision trees, are usually extracted a table records, each which represents an example. However, quite often in real applications there other knowledge, owned by experts field, that can be usefully used conjunction with hidden inside examples. As concrete example this kind we consider causal dependencies among attributes data records. In paper discuss how to use such...
Personalized medicine as well systems biology poses the challenge of developing new models to connect health data coming from many different flows and extract them information support clinicians in their therapeutic activity. In this scenario we developed a novel framework, tailored needs, which exploits strength social network model provide representation care system whole. paper also propose analysis approach inspired humans' cognitive process where awareness phenomenon is result an...
Genes and their expression regulation are among the key factors in comprehension of genesis development complex diseases. In this context, microRNAs (miRNAs) post-transcriptional regulators that play an important role gene since they frequently deregulated pathologies like cardiovascular disease cancer. vitro validation miRNA--targets is often too expensive time consuming to be carried out for every possible alternative. As a result, tool able provide some criteria prioritize trials becoming...
Abstract Querying geographical information systems has been recognized as a difficult task for non‐expert users. Furthermore, user queries are often characterized by semantic aspects not directly managed traditional spatial databases or GIS. Examples of such geospatial the use implicit relations between objects, reference domain concepts explicitly represented in data. To handle queries, we envisage system that translates natural language into SQL statements on database, thus improving...