Nowadays, human population face increasing water pollution problems, so treating and managing this resource is crucial. Wastewater Treatment Plants (WWTPs) provide essential services for human life since they treat wa...
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Mandarin-English Code-Switching Automatic Speech Recognition (MECS-ASR) is significantly impeded by limited data availability. Previous studies have demonstrated only marginal improvements in performance, even withth...
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the proceedings contain 123 papers. the special focus in this conference is on Artificial Intelligence in Education. the topics include: Simulating learning from Language and Examples;learner Perception of&#...
ISBN:
(纸本)9783031363351
the proceedings contain 123 papers. the special focus in this conference is on Artificial Intelligence in Education. the topics include: Simulating learning from Language and Examples;learner Perception of Pedagogical Agents;how Useful Are Educational Questions Generated by Large Language Models?;"A Fresh Squeeze on data": Exploring Gender Differences in Self-efficacy and Career Interest in Computing Science and Artificial Intelligence Among Elementary Students;preserving Privacy of Face and Facial Expression in Computer Vision data Collected in learning Environments;towards Extracting Adaptation Rules from Neural Networks;predicting Student Scores Using Browsing data and Content Information of learning Materials;item Difficulty Constrained Uniform Adaptive Testing;a Support System to Help Teachers Design Course Plans Conforming to National Curriculum Guidelines;virtual Agent Approach for Teaching the Collaborative Problem Solving Skill of Negotiation;Generative AI for learning: Investigating the Potential of learning Videos with Synthetic Virtual Instructors;evaluating the Rater Bias in Response Scoring in Digital learning Platform: Analysis of Student Writing Styles;equity, Diversity, and Inclusion in Educational Technology Research and Development;it’s Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based learning;evaluating Language learning Apps for Behaviour Change Using the Behaviour Change Scale;Ghost in the Machine: AVATAR, a Prototype for Supporting Student Authorial Voice;AI Education for K-12: A Survey;annotating Educational Dialog Act withdata Augmentation in Online One-on-One Tutoring;utilizing Natural Language Processing for automated Assessment of Classroom Discussion;using Large Language Models to Provide Formative Feedback in intelligent Textbooks;improving Code Comprehension through Scaffolded Self-explanations;tutorial: Educational Recommender Systems;AI Cognitive - Based Systems Supporting learning Process
Design of Experiments (DoE) is essential for data-driven models. It is applied to create uniformly distributed designs for the model’s input space. For good uniformity, the point density of the generated design shall...
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the growth of machine learning applications in various fields has enabled the advancement of Information Retrieval systems. As a result of this evolution, it has become possible to solve the well-known document classi...
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In the age of Artificial Intelligence (AI), the use of trained models is a common practice to solve a huge amount of different problems. However, it is highly complicated to understand the decision-making process of t...
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the proceedings contain 49 papers. the special focus in this conference is on engineering Applications of Neural Networks. the topics include: Towards Improved User Experience for Artificial Intelligence Systems;forec...
ISBN:
(纸本)9783031342035
the proceedings contain 49 papers. the special focus in this conference is on engineering Applications of Neural Networks. the topics include: Towards Improved User Experience for Artificial Intelligence Systems;forecasting Functional Time Series Using Federated learning;group-Personalized Federated learning for Human Activity Recognition through Cluster Eccentricity Analysis;modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination;neural Network Bootstrap Forecast Distributions with Extreme learning Machines;subsampled dataset Challenges and Machine learning Techniques in Table Tennis;towards Explaining Shortcut learningthrough Attention Visualization and Adversarial Attacks;a Novel Neural Network-Based Recommender System for Drug Recommendation;DACL: A Domain-Adapted Contrastive learning Approach to Low Resource Language Representations for Document Clustering Tasks;evaluating the Extraction of Toxicological Properties with Extractive Question Answering;semi-automated System for Pothole Detection and Location;a Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials;balancing High-Dimensional datasets with Complex Layers;botDroid: Permission-Based Android Botnet Detection Using Neural Networks;classification of Time Signals Using Machine learning Techniques;conductivity Classification Using Machine learning Algorithms in the "Bramianon" Dam;preface;a Machine learning Approach for Seismic Vulnerability Ranking;generation of Bases for Classification in the Bio-inspired Layered Networks;load-Shedding Management in a Smart Grid Architecture through Smart Metering;MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray data;multi-view Semi-supervised learning Using Privileged Information;a Multi-relationship Language Acquisition Model for Predicting Child Vocabulary Growth;knowledge Graph of Urban Firefighting with Rule-Based Entity Extraction;optimal Traffic Flow Distributions on Dynamic Networks;Streamlined Traini
the proceedings contain 72 papers. the special focus in this conference is on Web Information Systems engineering. the topics include: Highly Applicable Linear Event Detection Algorithm on Social Media with ...
ISBN:
(纸本)9789819972531
the proceedings contain 72 papers. the special focus in this conference is on Web Information Systems engineering. the topics include: Highly Applicable Linear Event Detection Algorithm on Social Media with Graph Stream;leveraging Social Networks for Mergers and Acquisitions Forecasting;enhancing Trust Prediction in Attributed Social Networks with Self-Supervised learning;bilateral Insider threat Detection: Harnessing Standalone and Sequential Activities with Recurrent Neural Networks;ATDG: An Automatic Cyber threat Intelligence Extraction Model of DPCNN and BIGRU Combined with Attention Mechanism;blockchain-Empowered Resource Allocation and data Security for Efficient Vehicular Edge Computing;priv-S: Privacy-Sensitive data Identification in Online Social Networks;TLEF: Two-Layer Evolutionary Framework for t-Closeness Anonymization;a Dual-Layer Privacy-Preserving Federated learning Framework;fuzzy Based Text Quality Assessment for Sentiment Analysis;a Privacy-Preserving Evolutionary Computation Framework for Feature Selection;local Difference-Based Federated learning Against Preference Profiling Attacks;empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction;ICAD: An intelligent Framework for Real-Time Criminal Analytics and Detection;Web Page Segmentation: A DOM-Structural Cohesion Analysis Approach;learning to Select the Relevant History Turns in Conversational Question Answering;a Methodological Approach for data-Intensive Web Application Design on Top of data Lakes;ESPRESSO: A Framework for Empowering Search on Decentralized Web;primary Building Blocks for Web Automation;prompt-learning for Semi-supervised Text Classification;a Web Service Oriented Integration Solution for Capital Facilities Information Handover;deep Neural Network-Based Approach for IoT Service QoS Prediction;Path-KGE: Preference-Aware Knowledge Graph Embedding with Path Semantics for Link Prediction;efficient Graph Embedding Method for Link
Clinical text classification allows assigning labels to content-based data using machine learning algorithms. However, unlike other study domains, clinical texts present complex linguistic diversity, including abbrevi...
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Ensemble learning consists of combining the prediction of different learners to obtain a final output. One key step for their success is the diversity among the learners. In this paper, we propose to reach the diversi...
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