Numerous deep learning architectures have been developed to accommodate the diversity
of time-series datasets across different domains. In this article, we survey common encoder …

Multi-horizon forecasting often contains a complex mix of inputs – including static (ie time-invariant)
covariates, known future inputs, and other exogenous time series that are only …

The effectiveness of any sanction depends on the costs of avoiding its restrictions. We examine
whether bearish option strategies were substitutes for short sales during the September …

Electronic health records provide a rich source of data for machine learning methods to learn
dynamic treatment responses over time. However, any direct estimation is hampered by the …

We document strong time-series momentum effects in individual stocks in the US markets
from 1927 to 2017. Time-series momentum is not specific to sub-periods, firm sizes, formation- …

Cyclic adenosine diphosphate (ADP)–ribose (cADPR) isomers are signaling molecules
produced by bacterial and plant Toll/interleukin-1 receptor (TIR) domains via nicotinamide …

Animals and plants have NLRs (nucleotide-binding leucine-rich repeat receptors) that
recognize the presence of pathogens and initiate innate immune responses. In plants, there are …

Legged robots have been highlighted as promising mobile platforms for disaster response
and rescue scenarios because of their rough terrain locomotion capability. In cluttered …

Background A high burden of severe disease and death from the coronavirus disease 2019
(COVID-19) has been consistently observed in older patients, especially those with pre-…

In this paper, we present an approach to tactile pose estimation from the first touch for known
objects. First, we create an object-agnostic map from real tactile observations to contact …