Topology optimization is able to maximally leverage the high DOFs and
me...
Since its inception, the field of unbiased learning to rank (ULTR) has
r...
Deep learning (DL) techniques have broad applications in science, especi...
The Shapley value is widely regarded as a trustworthy attribution metric...
An unpaired image-to-image (I2I) translation technique seeks to find a
m...
Managing novelty in perception-based human activity recognition (HAR) is...
Establishing open and general benchmarks has been a critical driving for...
This paper develops fast and accurate linear finite element method and
f...
This paper introduces a new data augmentation method for neural machine
...
The human ability to recognize when an object is known or novel currentl...
Methods for reinforcement learning for recommendation (RL4Rec) are
incre...
Series photo selection (SPS) is an important branch of the image aesthet...
Image-to-image translation has broad applications in art, design, and
sc...
We present a fully automatic approach for reconstructing compact 3D buil...
User interactions with recommender systems (RSs) are affected by user
se...
Real-time data collection and analysis in large experimental facilities
...
The recurrent neural networks (RNN) with richly distributed internal sta...
Collaborative Filtering (CF) based recommendation methods have been wide...
Deep deterministic policy gradient (DDPG) based car-following strategy c...
We consider the problem of costly feature classification, where we
seque...
Deep neural networks have exhibited promising performance in image
super...
In a pipeline speech translation system, automatic speech recognition (A...
Automatic extraction of buildings in remote sensing images is an importa...
To develop a knowledge-aware recommender system, a key data problem is h...
This paper aims to address the problem of detecting buildings from remot...
This paper presents a new method for modelling the dynamic behaviour of
...