62 citations · 92 across the 5 of their papers we have counts for
5 papers
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks
Tiago Veiga, Erling Ljunggren, Kerstin Bach +1
Temporal drift of low-cost sensors is crucial for the applicability of wireless sensor networks (WSN) to measure highly local phenomenon such as air quality. The emergence of wirel…
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…