207 citations · 1.4k across the 102 of their papers we have counts for
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Privacy Meets Explainability: A Comprehensive Impact Benchmark
Saifullah Saifullah, Dominique Mercier, Adriano Lucieri +2
Since the mid-10s, the era of Deep Learning (DL) has continued to this day, bringing forth new superlatives and innovations each year. Nevertheless, the speed with which these inno…
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain
Alireza Koochali, Maria Walch, Sankrutyayan Thota +3
Generative models are designed to address the data scarcity problem. Even with the exploding amount of data, due to computational advancements, some applications (e.g., health care…
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
Brian Moser, Federico Raue, Stanislav Frolov +3
With the advent of Deep Learning (DL), Super-Resolution (SR) has also become a thriving research area. However, despite promising results, the field still faces challenges that req…
Functional Component Descriptions for Electrical Circuits based on Semantic Technology Reasoning
Johannes Bayer, Mina Karami Zadeh, Markus Schröder +1
Circuit diagrams have been used in electrical engineering for decades to describe the wiring of devices and facilities. They depict electrical components in a symbolic and graph-ba…
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification
Adriano Lucieri, Fabian Schmeisser, Christoph Peter Balada +3
It is generally believed that the human visual system is biased towards the recognition of shapes rather than textures. This assumption has led to a growing body of work aiming to…
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets
Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel +1
Health mention classification deals with the disease detection in a given text containing disease words. However, non-health and figurative use of disease words adds challenges to…