62 citations · 62 across the 1 of their papers we have counts for
4 papers
On the Explanation of Similarity for Developing and Deploying CBR Systems
Kerstin Bach, Paul Jarle Mork
During the early stages of developing Case-Based Reasoning (CBR) systems the definition of similarity measures is challenging since this task requires transferring implicit knowled…
FishNet: A Unified Embedding for Salmon Recognition
Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell +2
Identifying individual salmon can be very beneficial for the aquaculture industry as it enables monitoring and analyzing fish behavior and welfare. For aquaculture researchers iden…
Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach +1
In order to make better use of deep reinforcement learning in the creation of sensing policies for resource-constrained IoT devices, we present and study a novel reward function ba…
Learning similarity measures from data
Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach +1
Defining similarity measures is a requirement for some machine learning methods. One such method is case-based reasoning (CBR) where the similarity measure is used to retrieve the…