Maxime Delmas
Biographic Data
| ID | 6536713 |
|---|---|
| NAME | Maxime Delmas |
| GIVEN NAMES | Maxime |
| FAMILY NAME | Delmas |
| SIGNATURE | DELMAS M |
| AFFILIATIONS | Idiap Research Institute Switzerland. [email protected] |
| ORCID | 0000-0002-9352-0624 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Relation Extraction in Underexplored Biomedical Domains
The sparsity of labeled data is an obstacle to the development of Relation Extraction (RE) models and the completion of databases in various biomedical areas. While being of high interest in drug-discovery, the literature on natural products, reporting the identification of potential bioactive compounds from organisms, is a concrete example of such an overlooked topic. To mark the start of this new task, we created the first curated evaluation da…
Head-up displays in action video games
This study aimed to investigate how different characteristics of head-up displays (HUDs) can impact the performance and subjective experience of players in action video games. HUDs are a very common way to display contextual information. However, very few studies have empirically investigated the influence of HUD design on player performance and experience from a human information processing perspective. Four experiments were conducted in which p…
No prominent works on this page.
Head-up displays in action video games
This study aimed to investigate how different characteristics of head-up displays (HUDs) can impact the performance and subjective experience of players in action video games. HUDs are a very common way to display contextual information. However, very few studies have empirically investigated the influence of HUD design on player performance and experience from a human information processing perspective. Four experiments were conducted in which p…
Relation Extraction in Underexplored Biomedical Domains
The sparsity of labeled data is an obstacle to the development of Relation Extraction (RE) models and the completion of databases in various biomedical areas. While being of high interest in drug-discovery, the literature on natural products, reporting the identification of potential bioactive compounds from organisms, is a concrete example of such an overlooked topic. To mark the start of this new task, we created the first curated evaluation da…
Artificial Intelligence (2 works) · Computer Science (2 works) · Action (physics) (1 work) · Affect (linguistics) (1 work) · Artificial Intelligence (1 work) · Big data (1 work) · Biomedical Text Mining and Ontologies (1 work) · Color perception and design (1 work) · Communication (1 work) · Contrast (vision) (1 work)