368 citations · 1.2k across the 16 of their papers we have counts for
5 papers · 1 filter
Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities
Xintong Shi, Wenzhi Cao, Sebastian Raschka
In recent times, deep neural networks achieved outstanding predictive performance on various classification and pattern recognition tasks. However, many real-world prediction probl…
Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course
Sebastian Raschka
Machine learning has seen a vast increase of interest in recent years, along with an abundance of learning resources. While conventional lectures provide students with important in…
Ten Quick Tips for Deep Learning in Biology
Benjamin D. Lee, Anthony Gitter, Casey S. Greene +17
Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that…
When Few-Shot Learning Meets Video Object Detection
Zhongjie Yu, Gaoang Wang, Lin Chen +2
Different from static images, videos contain additional temporal and spatial information for better object detection. However, it is costly to obtain a large number of videos with…
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
Kaiping Chen, Sang Jung Kim, Qiantong Gao +1
Recent years have witnessed an explosion of science conspiracy videos on the Internet, challenging science epistemology and public understanding of science. Scholars have started t…