Artificial Intelligence and Soft Computing: 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part II, Rutkowski Leszek, Scherer Rafal, Korytkowski Marcin
Описание: Neural Networks and Their Applications.- Fuzzy Systems and Their Applications.- Evolutionary Algorithms and Their Applications.- Artificial Intelligence in Modeling and Simulation.- Computer Vision, Image and Speech Analysis.- Data Mining.- Various Problems of Artificial Intelligence.- Bioinformatics, Biometrics and Medical Applications.
Описание: This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, held as a virtual event, in June 2021. The 28 full papers presented together with 30 short papers were selected from 138 submissions. The papers are grouped in topical sections on image analysis;
Описание: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research.
Описание: The 3-volume set CCIS 1422, CCIS 1423 and CCIS 1424 constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021.
Описание: The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions.
Описание: The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions.
Описание: This book constitutes the refereed proceedings of the 20th EPIA Conference on Artificial Intelligence, EPIA 2021, held virtually in September 2021.The 62 full papers and 6 short papers presented were carefully reviewed and selected from a total of 108 submissions.
Описание: This book constitutes the proceedings of the 17th European Conference on Logics in Artificial Intelligence, JELIA 2021, held as a virtual event, in May 2021. The accepted papers span a number of areas within Logics in AI, including: argumentation;
Описание: 3D Point Cloud Upsampling and Colorization using GAN.- Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes.- An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits.- Book Cover and Content Similarity Retrieval using Computer Vision and NLP Techniques.- Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers.- Feature Group Importance for Automated Essay Scoring.- Feature Extraction Efficient for Face Verification Based on Residual Network Architecture.- Acquiring Input Features from Stock Market Summaries: A NLG Perspective.- A Comparative of A New Hybrid based on Neural Networks and SARIMA Models for Time Series Forecasting.- Cartpole Problem with PDL and GP using Multi-Objective Fitness Functions Differing in A Priori Knowledge.- Learning Robot Arm Controls using Augmented Random Search in Simulated Environments.- An Analytical Evaluation of a Deep Learning Model to Detect Network Intrusion.- Application of Machine Learning Techniques to Predict Breast Cancer Survival.- Thai Handwritten Recognition on BEST2019 Datasets using Deep Learning.- Comparing of Multi-class Text Classification Methods for Automatic Ratings of Consumer Reviews.- Designing An Algorithm for Scheduling Tasks for Multiagent Systems.
Full Papers.- RepairNet: Contextual Sequence-to-Sequence network for automated program repair.- Seven-year longitudinal implications of wheel spinning and productive persistence.- A Systematic Review of Data-driven Approaches to Item Difficulty Prediction.- Annotating Student Engagement Across Grades 1-12: Associations with Demographics and Expressivity.- Affect-Targeted Interviews for Understanding Student Frustration.- Explainable Recommendations in a Personalized Programming Practice System.- Mutilingual Age of Exposure.- DiSCS: A New Sequence Segmentation Method for Open-Ended Learning Environments.- Interpretable Clustering of Students' Solutions in Introductory Programming.- Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks.- Ordering Effects in a Role-Based Scaffolding Intervention for Asynchronous Online Discussions.- Option Tracing: Beyond Correctness Analysis in Knowledge Tracing.- An approach for detecting student perceptions of the programming experience from interaction log data.- Discovering Co-creative Dialogue States during Collaborative Learning.- Affective Teacher Tools: Affective Class Report Card and Dashboard.- Engendering Trust in Automated Feedback: A Two Step Comparison of Feedbacks in Gesture Based Learning.- Investigating students' reasoning in a code-tracing tutor.- Evaluating Critical Reinforcement Learning Framework In the Field.- Machine learning models and their development process as learning affordances for humans.- Predicting Co-Occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor.- A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing.- The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students' Collaborative Dialogue.- Extracting and Clustering Main Ideas from Student Feedback using Language Models.- Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework.- A Good Start is Half the Battle Won: Unsupervised Pre-Training for Low Resource Children's Speech Recognition for an Interactive Reading Companion.- Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption.- Deep Performance Factors Analysis for Knowledge Tracing.- Gaming and confrustion explain learning advantages for a math digital learning game.- Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks.- TARTA: Teacher Activity Recognizer from Transcriptions and Audio.- Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts.- "Can you clarify what you said?" Studying the impact of tutee agents' follow-up questions on tutors' learning.- Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT.- A Multidimensional Item Response Theory Model for Rubric-based Writing Assessment.- Towards Bloom's Taxonomy Classification Without Labels.- Automatic Task Requirements Writing Evaluation With Feedback via Machine Reading Comprehension.- Temporal Processes Associating with Procrastination Dynamics.- Investigating Students' Experiences with Collaboration Analytics for Remote Group Meetings.- "Now, I Want to Teach it for Real!" Introducing Machine Learning as a Scientific Discovery Tool for K-12 Teachers, . Better Model, Worse Predictions: The Dangers in Student Model Comparisons.
Keynotes.- Scrutability, control and learner models: foundations for learner-centred design in AIED.- Augmenting learning with smart design, smart systems, and intelligence.- Invited Panels.- Mind the Gap: The Bidirectional Relationship between Diversity, Equity, and Inclusion (DEI) and Artificial Intelligence (AI).- Research-based Digital-first Assessments and the Future of Education.- Short Papers.- Open Learner Models for Multi-Activity Educational Systems.- Personal vocabulary recommendation to support real life needs.- AI Ethics Guidelines for K-12 Education: A Review of the Policy Landscape.- Quantitative Analysis to Further Validate WC-GCMS, a Computational Metric of Collaboration in Online Textual Discourse.-Generation of automatic data-driven feedback to students using Explainable Machine Learning.- Interactive Personas: Towards the Dynamic Assessment of Student Motivation within ITS.- Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren's Behaviour versus Teacher Control over NeighboursIntegration of Automated Essay Scoring Models using Item Response Theory.- Towards sharing student models across learning systems.- Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks.- Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?.- Exploiting structured error to improve automated scoring of oral reading fluency.- Data Augmentation for Enlarging Student Feature Space and Improving Random Forest Success.-The School Path Guide: a Practical Introduction to Representation and Reasoning in AI for High School Students.- Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses.- Early Prediction of Children's Disengagement in a Tablet Tutor using Visual Features.- An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms.- Designing intelligent systems to support medical diagnostic reasoning using process data.- Incorporating Item Response Theory into Knowledge Tracing.- The Automated Model of Comprehension (AMoC) v2.0.- Pre-course Prediction of At-Risk Calculus Students.- Examining Learners' Reflections over Time during Game-based Learning.- Examining the Use of a Teacher Alerting Dashboard During Remote Learning.- Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study.- Dr. Proctor: A Multi-modal AI-Based Platform for Remote Proctoring in Education.- Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits.-Analytics of Emerging and Scripted Roles in Online Discussions: Epistemic Network Analysis Approach.- Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays.- Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course.- Aligning Expectations About the Adoption of Learning Analytics in a Brazilian Higher Education Institution.- Interactive Teaching with Groups of Unknown Bayesian Learners.- Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models.- Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM.- Evaluation of Automated Image Descriptions for Visually Impaired Students.- Way to Go! Effects of Motivational Support and Agents on Reducing Foreign Language Anxiety.- "I didn't copy his code" Code Plagiarism Detection with Visual Proof.- An Epistemic Model-Based Tutor for Imperative Programming.- Long Term Retention of Programming Concepts Learned Using Tracing Versus Debugging Tutors.- Facilitating the Implementation of AI-based Assistive Technologies for Persons with Disabilities in Vocational Rehabilitation: A practical Design Thinking Approach.- Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic.- I-Mouse: A Framework f
Описание: Machine and Deep Learning.- Image Processing and Pattern Recognition.- Evolutionary and Metaheuristic Algorithms.- Natural Language Processing.- Intelligent Applications and Robotics.
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