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Riyad Bin Rafiq

dblp:338/1608 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

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.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%
Artificial intelligence
1 paper
Learning paradigms · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › input sensing › gesture recognition
hand gesture recognition
0.812024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation · IJCAI 2024
Machine learning › Learning paradigms
continual learning
0.212024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation · IJCAI 2024
Machine learning › Learning paradigms › continual learning
few-shot continual learning
0.212024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation · IJCAI 2024

Methods — techniques the papers use, named apart from their topics

latent embedding · 1.5few-shot learning · 1.5continual learning · 1.5
YearPublicationVenuePosition
2024 Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation
Riyad Bin Rafiq, Weishi Shi, Mark V. Albert
IJCAI1