Marius Popescu
Biographic Data
| ID | 6537015 |
|---|---|
| NAME | Marius Popescu |
| GIVEN NAMES | Marius |
| FAMILY NAME | Popescu |
| SIGNATURE | POPESCU M |
| AFFILIATIONS | University of Bucharest |
| ORCID | 0000-0003-4158-3911 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
A GIS-based assessment of pedestrian accessibility to urban parks in the city of Constanța, Romania
String Kernels for Native Language Identification
The most common approach in text mining classification tasks is to rely on features like words, part-of-speech tags, stems, or some other high-level linguistic features. Recently, an approach that uses only character p-grams as features has been proposed for the task of native language identification (NLI). The approach obtained state-of-the-art results by combining several string kernels using multiple kernel learning. Despite the fact that the …
String Kernels for Native Language Identification
The most common approach in text mining classification tasks is to rely on features like words, part-of-speech tags, stems, or some other high-level linguistic features. Recently, an approach that uses only character p-grams as features has been proposed for the task of native language identification (NLI). The approach obtained state-of-the-art results by combining several string kernels using multiple kernel learning. Despite the fact that the …
String Kernels for Native Language Identification
The most common approach in text mining classification tasks is to rely on features like words, part-of-speech tags, stems, or some other high-level linguistic features. Recently, an approach that uses only character p-grams as features has been proposed for the task of native language identification (NLI). The approach obtained state-of-the-art results by combining several string kernels using multiple kernel learning. Despite the fact that the …
A GIS-based assessment of pedestrian accessibility to urban parks in the city of Constanța, Romania
Artificial Intelligence (1 work) · Authorship Attribution and Profiling (1 work) · Computer Science (1 work) · Ecology (1 work) · Ecology (1 work) · Environmental planning (1 work) · Environmental protection (1 work) · Environmental resource management (1 work) · Environmental Science (1 work) · Geography (1 work)