Scoring functions for protein-ligand binding affinity prediction using structure-based deep learning: a review
The rapid and accurate in silico prediction of protein-ligand binding free energies or binding
affinities has the potential to transform drug discovery. In recent years, there has been a …
affinities has the potential to transform drug discovery. In recent years, there has been a …
Uncertainty-aware multiview deep learning for internet of things applications
As an essential approach in many Internet of Things (IoT) applications, multiview learning
synthesizes multiple features to achieve more comprehensive descriptions of data items …
synthesizes multiple features to achieve more comprehensive descriptions of data items …
TABLE: Time-aware Balanced Multi-view Learning for stock ranking
Stock ranking is a significant and challenging problem. In recent years, the use of multi-view
data, such as price and tweet, for stock ranking has gained considerable attention in the …
data, such as price and tweet, for stock ranking has gained considerable attention in the …
Transformers in action recognition: A review on temporal modeling
E Shabaninia, H Nezamabadi-pour… - arXiv preprint arXiv …, 2022 - arxiv.org
In vision-based action recognition, spatio-temporal features from different modalities are
used for recognizing activities. Temporal modeling is a long challenge of action recognition …
used for recognizing activities. Temporal modeling is a long challenge of action recognition …
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
Automatic medical image analysis (eg, medical image classification) is widely used in the
early diagnosis of various diseases. The computer-aided diagnosis (CAD) systems enable …
early diagnosis of various diseases. The computer-aided diagnosis (CAD) systems enable …
Searching multi-rate and multi-modal temporal enhanced networks for gesture recognition
Gesture recognition has attracted considerable attention owing to its great potential in
applications. Although the great progress has been made recently in multi-modal learning …
applications. Although the great progress has been made recently in multi-modal learning …
Video hand gestures recognition using depth camera and lightweight cnn
Hand gestures are a well-known and intuitive method of human-computer interaction. The
majority of the research has concentrated on hand gesture recognition from the RGB …
majority of the research has concentrated on hand gesture recognition from the RGB …
Convolutional transformer fusion blocks for multi-modal gesture recognition
Gesture recognition defines an important information channel in human-computer
interaction. Intuitively, combining inputs from multiple modalities improves the recognition …
interaction. Intuitively, combining inputs from multiple modalities improves the recognition …
Deep molecular representation learning via fusing physical and chemical information
Molecular representation learning is the first yet vital step in combining deep learning and
molecular science. To push the boundaries of molecular representation learning, we present …
molecular science. To push the boundaries of molecular representation learning, we present …
Evidential dissonance measure in robust multi-view classification to resist adversarial attack
Multi-view learning is effective in improving data classification accuracy through integrating
information from multiple sources. To guarantee the reliability of multi-view classification, the …
information from multiple sources. To guarantee the reliability of multi-view classification, the …