368 citations · 1.2k across the 16 of their papers we have counts for
4 papers · 1 filter
Looking back to lower-level information in few-shot learning
Zhongjie Yu, Sebastian Raschka
Humans are capable of learning new concepts from small numbers of examples. In contrast, supervised deep learning models usually lack the ability to extract reliable predictive rul…
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Sebastian Raschka, Joshua Patterson, Corey Nolet
Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the to…
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
Sebastian Raschka, Benjamin Kaufman
In the last decade, machine learning and artificial intelligence applications have received a significant boost in performance and attention in both academic research and industry.…
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
Vahid Mirjalili, Sebastian Raschka, Arun Ross
Recent research has established the possibility of deducing soft-biometric attributes such as age, gender and race from an individual's face image with high accuracy. However, this…