Software packages that use optimization to predict the motion of dynamic systems are powerful tools for studying human movement. These “predictive simulations” gaining popularity in parameter studies designing assistive devices such as exoskeletons. The cost function is a critical component problem and can dramatically affect solution. Many functions have been proposed biologically inspired pro...

While deep learning models have contributed to the advancement of sensor-based human activity recognition (HAR), it usually requires large amounts annotated sensor data extract robust features. To alleviate limitations annotation, contrastive has been applied HAR. One essential factors is augmentation, significantly impacting performance pretraining. However, current popular augmentation method...

Dense prediction tasks such as segmentation and detection of pathological entities hold crucial clinical value in computational pathology workflows. However, obtaining dense annotations on large cohorts is usually tedious expensive. Contrastive learning (CL) thus often employed to leverage volumes unlabeled data pre-train the backbone network. To boost CL for prediction, some studies have propo...

Las vasculitis leucocitoclásticas se definen como el daño e inflamación de las paredes vasculares, son aquellas pequeños vasos que anatomopatológicamente presentan leucocitoclasia y puede observarse una manifestación extraintestinal la enfermedad inflamatoria intestinal. En colitis ulcerativa en menor frecuencia, por inmunocomplejos generados mucosa intestinal debido a exposición del tejido lin...

Contrastive self-supervised representation learning methods maximize the similarity between positive pairs, and at same time tend to minimize negative pairs. However, in general interplay pairs is ignored as they do not put place special mechanisms treat differently according their specific differences similarities. In this paper, we present Extended Momentum Contrast (XMoCo), a method founded ...

Automatic speech recognition (ASR) that relies on audio input suffers from significant degradation in noisy conditions and is particularly vulnerable to interference. However, video recordings of capture both visual signals, providing a potent source information for training models. Audiovisual (AVSR) systems enhance the robustness ASR by incorporating lip movements associated sound production ...

The assimilatory nitrate reduction pathway is a vital biological process, as it is one of the principal routes by which inorganic nitrogen is incorporated into organic compounds in higher plants, algae, and fungi. After uptake into cells by nitrate transporters, the first and rate-limiting step in this pathway is the reduction of nitrate to nitrite catalyzed by NAD(P)H:nitrate reductase (NR), a...