Modules running in the period selected: 21.
Click on the module to see the timetable and course details.
Topic | Description | Research area |
---|---|---|
Algorithms for Bioinformatics | Our research focuses on design of algorithms for the management and analysis of large scale biological data (e.g. -omics data of different types). Our research is driven by the idea that modern data sciences can contribute significantly to address important questions in life sciences. Algorithms from the fields of search theory (group testing), active learning, and data mining (particularly in sequences and networks), as well as, information theoretic approaches based on entropic analysis, can be used to support the causal understanding, diagnosis and prognosis of complex diseases. |
Bioinformatics and medical informatics
Life and medical sciences |
Decision Tree Optimization | One of the most studied data mining tasks in the literature is the classification task, consisting of learning a predictive relationship between input values and a desired output. A classification problem can also be viewed as an optimization problem, namely as the problem of building a model that maximizes the predictive accuracy—the number of correct predictions—in the test data (unseen during training). We are interested in the problem of optimizing the construction of decision trees. Decision trees are widely used in data mining and machine learning as comprehensible representation models, given that they can be easily represented in a graphical form and also as a set of classification rules, which can be expressed in natural language in the form of IF-THEN rules. |
Machine Intelligence
Machine learning |
Office | Collegial Body |
---|---|
member | Council of the PhD School in Computer Science A.Y. 2018/2019 - Department Computer Science |
member | Collegio Didattico di Informatica - Department Computer Science |
member | Commissione Ricerca del Dipartimento - Department Computer Science |
member | Computer Science Department Council - Department Computer Science |