Demo Data from EDBT 2026 / reviewers in the wild / expert
Timothy J. Shields
dblp:177/8942
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Vision and language · 77% Deep learning architectures and training · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Vision and language
multimodal fusion |
0.3 | 1 | 2018 | Deep Multimodal Fusion: A Hybrid Approach · Int. J. Comput. Vis. 2018 |
Machine learning › Deep learning architectures and training
hybrid deep learning |
0.1 | 1 | 2018 | Deep Multimodal Fusion: A Hybrid Approach · Int. J. Comput. Vis. 2018 |
Methods — techniques the papers use, named apart from their topics
multimodal fusion · 0.3deep learning · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Deep Multimodal Fusion: A Hybrid Approach
Mohamed R. Amer, Timothy J. Shields, Behjat Siddiquie, Amir Tamrakar, Ajay Divakaran, Sek M. Chai |
Int. J. Comput. Vis. | 2 |
| 2018 | Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures
Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor |
Neurocomputing | 3 |
| 2017 | Structure optimization for deep multimodal fusion networks using graph-induced kernels
Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor |
ESANN | 3 |