Prescriptions

Activity recognition in patients with tremor: Integrating time-length windows for enhanced detection.

Pathological tremor significantly impairs daily activities and quality of life, particularly in conditions such as essential tremor and Parkinson's disease. The assessment and evaluation of tremor, along with its evolution with medication dosages, pose a challenging problem. Current clinical evaluation methods are constrained by patient performance, variability, and evaluator's subjectivity. Intro...

Adaptive debiasing learning for drug repositioning.

Drug repositioning, pivotal in current pharmaceutical development, aims to find new uses for existing drugs, offering an efficient and cost-effective path to drug discovery. In recent years, graph neural network-based deep learning methods have achieved significant success in drug repositioning tasks. However, few studies have analyzed the characteristics of datasets to mitigate potential data bia...

A game theoretical model to examine pedestrian behaviour and safety on unsignalised slip lanes using AI-based video analytics.

Left-turn slip lanes, also known as channelised right-turn lanes in right-hand driving countries, are widely implemented to facilitate left-turning at...

Towards zero-shot human-object interaction detection via vision-language integration.

Human-object interaction (HOI) detection aims to locate human-object pairs and identify their interaction categories in images. Most existing methods ...

Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)

Identification of key variables such as medications, diseases, relations from health records and clinical notes has a wide range of applications in ...

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation

Multi-organ medical segmentation is a crucial component of medical image processing, essential for doctors to make accurate diagnoses and develop ef...

On Universality of Non-Separable Approximate Message Passing Algorithms

Mean-field characterizations of first-order iterative algorithms -- including Approximate Message Passing (AMP), stochastic and proximal gradient de...

Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design

In many real-world applications, evaluating the goodness of instances is often costly and time-consuming, e.g., human feedback and physics simulatio...

HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction

Real-time human perception is crucial for effective human-robot interaction (HRI). Large vision-language models (VLMs) offer promising generalizable...

[Methodological breakthroughs and challenges in research of soil phage microecology].

Phages, as obligate bacterial and archaeal parasites, constitute a virus group of paramount ecological significance due to their exceptional abundance...

Foundation of Affective Computing and Interaction

This book provides a comprehensive exploration of affective computing and human-computer interaction technologies. It begins with the historical dev...

Accessible Gesture-Driven Augmented Reality Interaction System

Augmented reality (AR) offers immersive interaction but remains inaccessible for users with motor impairments or limited dexterity due to reliance o...

ReSeDis: A Dataset for Referring-based Object Search across Large-Scale Image Collections

Large-scale visual search engines are expected to solve a dual problem at once: (i) locate every image that truly contains the object described by a...

Egocentric Human-Object Interaction Detection: A New Benchmark and Method

Understanding the interaction between humans and objects has gained much attention in recent years. Existing human-object interaction (HOI) detectio...

A multi-stage augmented multimodal interaction network for fish feeding intensity quantification

In recirculating aquaculture systems, accurate and effective assessment of fish feeding intensity is crucial for reducing feed costs and calculating...

TraGe: A Generic Packet Representation for Traffic Classification Based on Header-Payload Differences

Traffic classification has a significant impact on maintaining the Quality of Service (QoS) of the network. Since traditional methods heavily rely o...

Evaluation of machine-learning models to measure individualized treatment effects from randomized clinical trial data with time-to-event outcomes

In randomized clinical trials, regression models can be used to explore the relationships between patients' variables (e.g., clinical, pathological ...

Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering

Disentangling user intentions from implicit feedback has become a promising strategy to enhance recommendation accuracy and interpretability. Prior ...

Auditing Data Provenance in Real-world Text-to-Image Diffusion Models for Privacy and Copyright Protection

Text-to-image diffusion model since its propose has significantly influenced the content creation due to its impressive generation capability. Howev...

Dynamic Double Space Tower

The Visual Question Answering (VQA) task requires the simultaneous understanding of image content and question semantics. However, existing methods ...