40 citations · 53 across the 4 of their papers we have counts for
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On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process
Gereziher Adhane, Mohammad Mahdi Dehshibi, Dennis Vetter +2
Knowledge distillation (KD) remains challenging due to the opaque nature of the knowledge transfer process from a Teacher to a Student, making it difficult to address certain issue…
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane +1
To equip Convolutional Neural Networks (CNNs) with explainability, it is essential to interpret how opaque models take specific decisions, understand what causes the errors, improv…
A deep convolutional neural network for classification of Aedes albopictus mosquitoes
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
Monitoring the spread of disease-carrying mosquitoes is a first and necessary step to control severe diseases such as dengue, chikungunya, Zika or yellow fever. Previous citizen sc…
On the use of uncertainty in classifying Aedes Albopictus mosquitoes
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
The re-emergence of mosquito-borne diseases (MBDs), which kill hundreds of thousands of people each year, has been attributed to increased human population, migration, and environm…