Описание: This book constitutes the refereed proceedings of the 17th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2020, held in Sant Cugat, Spain, in September 2020.*The 24 papers presented in this volume were carefully reviewed and selected from 46 submissions.
Описание: This two volume set LNAI 8102 and LNAI 8103 constitutes the refereed proceedings of the 6th International Conference on Intelligent Robotics and Applications, ICIRA 2013, held in Busan, South Korea, in September 2013.
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.
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.
Two Algorithms for Additive and Fair Division of Mixed Manna.- Dynamic Play via Suit Factorization Search in Skat.- Dynamic Channel and Layer Gating in Convolutional Neural Network.- Contour-based Segmentation of Historical Printings.- Hybrid Ranking and Regression for Algorithm Selection.- Conditional Reasoning and Relevance.- HTN Plan Repair via Model Transformation.- Nonmonotonic Inferences with Qualitative Conditionals Based on Preferred Structures on Worlds.- Positive Free Higher-Order Logic and its Automation via a Semantical Embedding.- Low-Rank Subspace Override for Unsupervised Domain Adaptation.- Expressive Explanations of DNNs by Combining Concept Analysis with ILP.- Stable Resolving - A Randomized Local Search Heuristic for MaxSAT.- A Virtual Caregiver for Assisted Daily Living of Pre-Frail Users.- Exploring the Effects of Role Design on Agent Learning.- Descriptor Revision for Conditionals: Literal Descriptors and Conditional Preservation.- Multi-Agent Path Finding Modulo Theory with Continuous Movements and the Sum of Costs Objective.- Meta-Induction, Probability Aggregation, and Optimal Scoring.- Cones, Negation, and All That.- Swarm-based Cluster Analysis for Knowledge Discovery.- Draw with Me: Human-in-the-Loop for Image Restoration.- Reasonable Machines: A Research Manifesto.- A Heuristic Agent in Multi-Agent Path Finding Under Destination Uncertainty.- Earnings Prediction with Deep Leaning.- Integrating Keywords into BERT4Rec for Sequential Recommendation.- Modelling and Reasoning in Biomedical Applications with Qualitative Conditional Logic.- Conformal Rule-Based Multi-label Classification.- Optimizing Constraint Satisfaction Problems by Regularization for the Sample Case of the Warehouse Location Problem.- Fast Pathfinding in Knowledge Graphs Using Word Embeddings.- A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net.- Evaluation of Deep Learning Accelerators for Object Detection at the Edge.-Learning Choice Functions via Pareto-Embeddings.- Simulation-Based Validation of Robot Commands for Force-based Robot Motions.- Firefighter Virtual Reality Simulation for Personalized Stress Detection.- The AI Domain Definition Language (AIDDL) for Integrated Systems.
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: This book constitutes the refereed proceedings of the 13th International Conference on Artificial General Intelligence, AGI 2020, held in St. Petersburg, Russia, in September 2020.The 30 full papers and 8 short papers presented in this book were carefully reviewed and selected from 60 submissions.
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