4 papers
Computer vision-based estimation of invertebrate biomass
Mikko Impiö, Philipp M. Rehsen, Jarrett Blair +5
The ability to estimate invertebrate biomass using only images could help scaling up quantitative biodiversity monitoring efforts. Computer vision-based methods have the potential…
ULW-SleepNet: An Ultra-Lightweight Network for Multimodal Sleep Stage Scoring
Zhaowen Wang, Dongdong Zhou, Qi Xu +3
Automatic sleep stage scoring is crucial for the diagnosis and treatment of sleep disorders. Although deep learning models have advanced the field, many existing models are computa…
Generalized Reference Kernel With Negative Samples For Support Vector One-class Classification
Jenni Raitoharju
This paper focuses on small-scale one-class classification with some negative samples available. We propose Generalized Reference Kernel with Negative Samples (GRKneg) for One-clas…
Linear-time One-Class Classification with Repeated Element-wise Folding
Jenni Raitoharju
This paper proposes an easy-to-use method for one-class classification: Repeated Element-wise Folding (REF). The algorithm consists of repeatedly standardizing and applying an elem…