| Ref.No: | 61515900 |
| Start date: | 17.03.2023 |
| End date: | 16.10.2025 |
| Approval date: | 10.03.2023 |
| Department: | ELECTRICAL & COMPUTER ENGINEERING |
| Sector: | COMPUTER SCIENCE |
| Financier: | 4Η ΠΡΟΚΗΡΥΞΗ ΕΛΙΔΕΚ ΓΙΑ Υ.Δ., ELIDEK |
| Budget: | 27.900,00 € |
| Public key: | ΨΨΡΨ46ΨΖΣ4-ΖΦΞ |
| Scientific Responsible: | Assoc. Prof. DIMITRIOS FOTAKIS |
| Email: | fotakis@cs.ntua.gr |
| Description: | CURRENT MACHINE LEARNING METHODS DEMAND STRICTLY DEFINED RELATIONS BETWEEN DATA WITHIN A DATASET. ALTHOUGH MOST OF THESE RELATIONS ARE MORE COMPLEX AND COULD BE BETTER REPRESENTED THROUGH GRAPHS. THE ABOVE OBSERVATION HAS DRIVEN A SIGNIFICANT PART OF RES |
