Artificial Intelligence and Soft Computing: 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part I, 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 two-volume set LNCS 12861 and LNCS 12862 constitutes the refereed proceedings of the 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, held virtually, in June 2021.The 85 full papers presented in this two-volume set were carefully reviewed and selected from 134 submissions.
Описание: This book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP, EvoApplications, and EuroGP.
Описание: This two-volume set LNCS 12861 and LNCS 12862 constitutes the refereed proceedings of the 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, held virtually, in June 2021.The 85 full papers presented in this two-volume set were carefully reviewed and selected from 134 submissions.
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 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
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