The best way to acquire knowledge about an algorithm is feeding it data and checking the
result. In a layman's language machine learning can be called as an ideological child or …

Clustering is a machine learning paradigm of dividing sample subjects into a number of
groups such that subjects in the same groups are more similar to those in other groups. With …

Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

Scene perception and trajectory forecasting are two fundamental challenges that are crucial
to a safe and reliable autonomous driving (AD) system. However, most proposed methods …

Animals have evolved to rapidly detect and recognize brief and intermittent encounters with
odor packages, exhibiting recognition capabilities within milliseconds. Artificial olfaction has …

Bayesian optimization (BO) is an indispensable tool to optimize objective functions that
either do not have known functional forms or are expensive to evaluate. Currently, optimal …

Text-based communication is highly favoured as a communication mean, especially in
business environments. As a result, it is often abused by sending malicious messages, eg …

Deep reinforcement learning has gathered much attention recently. Impressive results were
achieved in activities as diverse as autonomous driving, game playing, molecular …

Among Parkinson's disease (PD) motor symptoms, freezing of gait (FOG) may be the most
incapacitating. FOG episodes may result in falls and reduce patients' quality of life. Accurate …

Accurate prediction of protein stability changes resulting from single amino acid mutations is
important for understanding protein structures and designing new proteins. We use support …