Описание: This book constitutes the refereed proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2020, held in Bolzano, Italy, in September 2020. The special theme of EKAW 2020 is "Ethical and Trustworthy Knowledge Engineering".
Описание: This book constitutes the proceedings of the 22nd Conference on Passive and Active Measurement, PAM 2021, which was planned to be held in Cottbus, Germany, in March 2021.
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
The two volumes LNAI 11649 and 11650 constitute the refereed proceedings of the 20th Annual Conference "Towards Autonomous Robotics", TAROS 2019, held in London, UK, in July 2019.
The 87 full papers and 12 short papers presented were carefully reviewed and selected from 101 submissions. The papers present and discuss significant findings and advances in autonomous robotics research and applications. They are organized in the following topical sections: robotic grippers and manipulation; soft robotics, sensing and mobile robots; robotic learning, mapping and planning; human-robot interaction; and robotic systems and applications.
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.
Описание: This book constitutes the proceedings of the 22nd Conference on Integer Programming and Combinatorial Optimization, IPCO 2021, which took place during May 19-21, 2021. The conference was organized by Georgia Institute of Technology and planned to take place it Atlanta, GA, USA, but changed to an online format due to the COVID-19 pandemic.
Описание: Automatic Facial Expression Neutralisation Using Generative Adversarial Network.- Creating Ensembles of Generative Adversarial Network Discriminators for One-class Classification.- A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection.- Anomaly Detection by Robust Feature Reconstruction.- Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia.- Deep learning topology-preserving EEG-based images for autism detection in infants.- Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors.- Liver cancer trait detection and classification through Machine Learning on smart mobile devices.
Описание: Mutually Accepting Capacitated Automata.- Bad pictures: some structural properties related to overlaps.- Regular Expression Length via Arithmetic Formula Complexity.- Crisp-determinization of Weighted Tree Automata over Additively Locally Finite and Past-finite Monotonic Strong Bimonoids is Decidable.- On the Power of Generalized Forbidding Insertion-Deletion Systems.- State Complexity Bounds for the Commutative Closure of Group Languages.- Multiple Concatenation and State Complexity (Extended Abstract).- Combining Limited Parallelism and Nondeterminism in Alternating Finite Automata.- Longer shortest strings in two-way finite automata.- Iterated Uniform Finite-State Transducers: Descriptional Complexity of Nondeterminism and Two-Way Motion.- Descriptional Complexity of Winning Sets of Regular Languages.- State complexity of GF(2)-inverse and GF(2)-star on binary languages.- Complexity of Two-dimensional Rank-reducing Grammars.- Palindromic Length of Words with Many Periodic Palindromes.- Operational Complexity of Straight Line Programs for Regular Languages.- Classifying ω-Regular Aperiodic k-Partitions.- Recognition and Complexity Results for Projection Languages of Two-Dimensional Automata.- On the Generative Power of Quasiperiods.- Insertion-Deletion Systems With Substitutions II.
Описание: Improving event data quality in coherence with business requirements (BPMDS 2021).- From Network Traffic Data to Business Activities: A Process Mining Driven Conceptualization.- A NLP-oriented Methodology to Enhance Event Log Quality .- Enhancing the value of data in processes improvement (BPMDS 2021).- Detecting and Understanding Branching Frequency Changes in Process Models.- Detecting the "Split-Cases" Workaround in Event Logs.- "Towards a Content-Based Process Mining Approach in Personal Services.- Event stream and predictive monitoring (BPMDS 2021).- Generating Reliable Process Event Streams and Time Series Data based on Neural Networks.- Inter-Case Properties and Process Variant Considerations in Time Prediction: A Conceptual Framework.- Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems.- Modeling languages and reference models (BPMDS 2021).- Supporting Data-Aware Processes with MERODE.- Evaluating Perceived Usefulness and Ease of Use of CMMN and DCR.- Subject-Oriented Reference Model for Virtual Factory Operations Commissioning.- Enterprise Modeling (EMMSAD 2021).- Participatory Modeling From a Stakeholder Perspective: On the Influence of Collaboration and Revisions On Psychological Ownership and Perceived Model Quality.- Reference Service Model for Federated Identity Management.- Traceability from the Business Value Model to the Enterprise Architecture: A Case Study.- Design Thinking and Enterprise Modeling: An Investigation of Eight Enterprise Architecture Management Projects.- Handling Models and Modeling Methods (EMMSAD 2021).- Formalizing Conceptual Modeling Methods with MetaMorph.- Situation-specific Business Model Development Methods for Mobile App Developers.- Searching for Class Models.- From Mental Models to Machine Learning Models via Conceptual Models.- Threat and Evidence Modeling (EMMSAD 2021).- Towards Measuring Test Coverage of Attack Simulations.- Murder, She Modeled: Modeling to Support Crimino-Forensic Processes. - Model-Driven Engineering & Applications (EMMSAD 2021).- Model-Driven Engineering: A State of A airs and Research Agenda.- FloWare: an Approach for IoT Support and Application Development.- A Model-based Application for the Effective and Efficient Management of Data associated with Retina-Macula Pathology.- API Management Maturity of Low-Code Development Platforms.
Описание: This book constitutes the refereed proceedings of the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021, held in Bilbao, Spain, in September 2021.The 44 full and 11 short papers presented in this book were carefully reviewed and selected from 81 submissions.
Описание: This book constitutes the refereed proceedings of the 14th International Conference on Flexible Query Answering Systems, FQAS 2021, held virtually and in Bratislava, Slovakia, in September 2021.The 16 full papers and 1 perspective papers presented were carefully reviewed and selected from 17 submissions.
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