Computer Science & Engineering: المرسلات الحديثة
السجلات المعروضة 481 -- 500 من 2427
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Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations
( AAAI Press , 2018 , Conference)While peer-agreement and gold checks are well-established methods for ensuring quality in crowdsourced data collection, we explore a relatively new direction for quality control: estimating work quality directly from ... -
Efficient Test Collection Construction via Active Learning
( Association for Computing Machinery , 2020 , Conference)To create a new IR test collection at low cost, it is valuable to carefully select which documents merit human relevance judgments. Shared task campaigns such as NIST TREC pool document rankings from many participating ... -
Overview of the CLEF-2021 CheckThat! Lab Task 1 on check-worthiness estimation in tweets and political debates
( CEUR-WS , 2021 , Conference)We present an overview of Task 1 of the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The task asks to predict which posts in a Twitter stream are worth ... -
Mix and match: Collaborative expert-crowd judging for building test collections accurately and affordably
( CEUR-WS , 2018 , Conference)Crowdsourcing offers an affordable and scalable means to collect relevance judgments for information retrieval test collections. However, crowd assessors may showhigher variance in judgment quality than trusted assessors. ... -
Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments
( AAAI Press , 2016 , Conference)When collecting subjective human ratings of items, it can be difficult to measure and enforce data quality due to task subjectivity and lack of insight into how judges’ arrive at each rating decision. To address this, we ... -
ArTest: The First Test Collection for Arabic Web Search with Relevance Rationales
( Association for Computing Machinery, Inc , 2020 , Conference)The scarcity of Arabic test collections has long hindered information retrieval (IR) research over the Arabic Web. In this work, we present ArTest, the first large-scale test collection designed for the evaluation of ad-hoc ... -
The many benefits of annotator rationales for relevance judgments
( International Joint Conferences on Artificial Intelligence , 2017 , Conference)When collecting subjective human ratings of items, it can be difficult to measure and enforce data quality due to task subjectivity and lack of insight into how judges arrive at each rating decision. To address this, we ... -
Overview of the CLEF–2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference)We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality, and covers Arabic, Bulgarian, ... -
Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)We describe the sixth edition of the CheckThat! lab, part of the 2023 Conference and Labs of the Evaluation Forum (CLEF). The five previous editions of CheckThat! focused on the main tasks of the information verification ... -
How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?
( Springer , 2023 , Article)Big data and predictive analytics (BDPA) techniques have been deployed in several areas of research to enhance individuals’ quality of living and business performance. The emergence of big data has made recycling and waste ... -
The adoption of metaverse in the retail industry and its impact on sustainable competitive advantage: moderating impact of sustainability commitment
( Springer , 2023 , Article)The concept of the metaverse involves creating a fully immersive virtual world that allows users to interact with each other and digital objects in a way that is almost indistinguishable from reality. One of the key areas ... -
The nexus between quality of customer relationship management systems and customers' satisfaction: Evidence from online customers’ reviews
( Elsevier Ltd , 2023 , Article)Customer Relationship Management (CRM) is a method of management that aims to establish, develop, and improve relationships with targeted customers in order to maximize corporate profitability and customer value. There ... -
A Combined Method for Diabetes Mellitus Diagnosis Using Deep Learning, Singular Value Decomposition, and Self-Organizing Map Approaches
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Diabetes in humans is a rapidly expanding chronic disease and a major crisis in modern societies. The classification of diabetics is a challenging and important procedure that allows the interpretation of diabetic data and ... -
Parkinson’s Disease Diagnosis Using Laplacian Score, Gaussian Process Regression and Self-Organizing Maps
( MDPI , 2023 , Article)Parkinson’s disease (PD) is a complex degenerative brain disease that affects nerve cells in the brain responsible for body movement. Machine learning is widely used to track the progression of PD in its early stages by ... -
Electroencephalography (EEG) eye state classification using learning vector quantization and bagged trees
( Elsevier Ltd , 2023 , Article)The analysis of Electroencephalography (EEG) signals has been an effective way of eye state identification. Its significance is highlighted by studies that examined the classification of eye states using machine learning ... -
A combined method of optimized learning vector quantization and neuro-fuzzy techniques for predicting unified Parkinson's disease rating scale using vocal features
( Elsevier B.V. , 2024 , Article)Parkinson's Disease (PD) is a common disorder of the central nervous system. The Unified Parkinson's Disease Rating Scale or UPDRS is commonly used to track PD symptom progression because it displays the presence and ... -
Faculty salary equity in the College of Arts and Sciences at a regional mid-western university: an exploratory study
( International Academy of Business and Public Administration Disciplines , 2010 , Article)The purpose of this study was to determine if there were salary inequities between male and female faculty members in the School of Arts and Sciences at a regional public university. An analysis-of-covariance (ANCOVA) model ... -
How to program autonomous vehicle (AV) crash algorithms: an Islamic ethical perspective
( Emerald Publishing Limited , 2023 , Article)Purpose: Fully autonomous self-driving cars not only hold the potential for significant economic and environmental advantages but also introduce complex ethical dilemmas. One of the highly debated issues, known as the ... -
Pathway to Prosocial AI-XR Metaverses: A Synergy of Technical and Regulatory Approaches
( IEEE , 2023 , Conference)AI-XR metaverses leverage artificial intelligence (AI) and extended reality (XR) technology to create immersive environments that replicate and enhance the real world. The transformative impact of the metaverse as an ... -
How circular economy can reduce scope 3 carbon footprints: Lessons learned from FIFA world cup Qatar 2022
( Elsevier , 2023 , Article)Mega sporting events (MSEs) such as the FIFA World Cup and the Olympics always attract people around the world to visit the hosting country, boosting its tourism and business, and leaving a positive legacy. However, such ...
