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Abstract Test Execution for Early Testing Activities in Model-Driven Scenarios
The continuous improvement of the performance of computing units makes it possible to cope with increasingly complex tasks. This results in more...
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Accelerating BERT inference with GPU-efficient exit prediction
BERT is a representative pre-trained language model that has drawn extensive attention for significant improvements in downstream Natural Language...
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Advancing High School Dropout Predictions Using Machine Learning
The importance of high school completion for jobs and postsecondary opportunities is well-documented. Schools, districts, and states are increasingly...
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Detecting Bed Occupancy Using Thermal Sensing Technology: A Feasibility Study
Measures of sleep and its disturbances can be detected by monitoring bed occupancy. These measures can also be used for alerting of bed exits or for...
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Cherie Hu
Water & Music is an independent newsletter and research DAO , a decentralized autonomous organization, dedicated...
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Automatic Detection and Inspection Robot of All-Weather Urban Comprehensive Corridor Based on Voiceprint Detection
Aiming at the fire safety hazards of urban comprehensive corridors, an all-weather urban comprehensive corridor automatic detection and inspection...
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Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
Lossy image compression is pervasively conducted to save communication bandwidth, resulting in undesirable compression artifacts. Recently, extensive...
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Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning
The massive adoption of artificial intelligence has opened up the opportunity for a range of intelligent technologies that can support education....
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ABAP Unit Testing Performance and Quality Analysis in SAP HANA
The development of large software systems is a complex and error prone process. Faults might occur at any development stage and they must be...
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Trust Repair of Automated Driving System: A New In-Vehicle Communication Strategy of Voice Assistant
Chinese market penetration rate of automated driving systems (ADS) is increasing rapidly. Users are willing to try ADS, but the negative feeling is...
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Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
Fairness has become increasingly pivotal in medical image recognition. However, without mitigating bias, deploying unfair medical AI systems could...
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Neural network-supported patient-adaptive fall prevention system
Patient falls due to unattended bed-exits are costly to patients, healthcare personnel and hospitals. Numerous researches based on up to three...
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Parallel Programming
Since the advent of microprocessors, Moore’s Law has said that the number of transistors on an integrated circuit would double about every eighteen...
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Nonlinear Instabilities in TCP-RED
With the growing size and popularity of the Internet, congestion control has emerged as an important problem. Poor management of congestion can...
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A Verifiable Federated Learning Scheme Based on Secure Multi-party Computation
Federated learning ensures that the quality of the model is uncompromised while the resulting global model is consistent with the model trained by...
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Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System
Skin diseases are generally normal around the globe, as people get skin diseases because of inheritance and natural elements. Dermatologists rely...
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Loops and Logic
Sometimes fighting crime can make you feel like you are running around in circles. Day in and day out you seem to have to tackle the same struggles:...
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Venture capital investments through the lens of network and functional data analysis
In this paper we characterize the performance of venture capital-backed firms based on their ability to attract investment. The aim of the study is...
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An On-Device Machine Reading Comprehension Model with Adaptive Fast Inference
Pretrained language models (PrLMs) have been widely used in machine reading comprehension (MRC) tasks. Although PrLMs can learn powerful...
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Analyzing Urban Mobility Based on Smartphone Data: The Lisbon Case Study
Our paper addresses the mobility patterns in Lisbon in the vicinity of historical and transportation points of interest, with a case study conducted...