Описание: Due to COVID-19 pandemic the conference was held as a hybrid event.The 20 revised papers, including 14 full papers, 3 short papers and 3 industry papers, presented were carefully reviewed and selected from 48 submissions.
Описание: This book constitutes the proceedings of the 22nd International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2021, which was held virtually during January 17-19, 2021.
Описание: This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*The 93 papers presented were carefully reviewed and selected from 134 submissions.
This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
Описание: They provide a comprehensive overview of major challenges and recent advances in various domains related to the digital transformation and collaborative networks and their applications with a strong focus on the following areas related to the main theme of the conference: sustainable collaborative networks;
Описание: This open access book constitutes the proceedings of the 22nd International Conference on Agile Software Development, XP 2021, which was held virtually during June 14-18, 2021. XP is the premier agile software development conference combining research and practice.
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 revised selected papers from the 22nd International Conference on Information Security Applications, WISA 2021, which took place on Jeju Island, South Korea, during August 2021. The 23 papers included in this book were carefully reviewed and selected from 66 submissions.
Описание: This book constitutes the post-conference proceedings of the 22nd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2020, held in Voronezh, Russia, in October 2020*.The 16 revised full papers and two keynotes were carefully reviewed and selected from 60 submissions.
Описание: This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*The 93 papers presented were carefully reviewed and selected from 134 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.
Описание: The volume LNAI 13054 constitutes the refereed proceedings of the 22th Annual Conference Towards Autonomous Robotic Systems, TAROS 2021, held in Lincoln, UK, in September 2021.*The 45 full papers were carefully reviewed and selected from 66 submissions.
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