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检索条件"任意字段=18th International Conference on Software Engineering and Knowledge Engineering"

共 35477 条记录，以下是231-240 订阅

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RESEARCH ON knowledge EXTRACTION OF CHINESE SHIP TECHNICAL SPECIFICATION 9

RESEARCH ON KNOWLEDGE EXTRACTION OF CHINESE SHIP TECHNICAL S...

引用

9th international conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2024, the 10th international conference on Connected Smart Cities, CSC 2024 and the 16th international conference on e-Health, EH 2024, Part of the 18th Multi conference on Computer Science and Information Systems 2024, MCCSIS 2024

作者： Cheng, Kexin Jiang, Zuhua School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9789898704597

Extracting multiple kinds of knowledge from large ship technical specification texts plays an important role in improving the efficiency of designers in acquiring and applying knowledge. In view of the huge number of design specification texts and the need for deep information extraction, a knowledge extraction method for Chinese ship design specification based on coding rules and named entity recognition is proposed. First of all, morpheme analysis and grammar analysis are conducted on ship design specifications, which can automatically identify the knowledge type of sentences according to the type, quantity and grammar relationship of morphemes in each sentence. Combined with named entity recognition algorithm, corresponding contents are extracted according to different knowledge type extraction rules to fill in knowledge attributes, so as to complete the knowledge extraction of the design specification. the effectiveness of the proposed method is verified by experiments in the collected corpus of ship design specifications. © 2024 Big Data Analytics, Data Mining and Computational Intelligence. All Rights Reserved.

关键词： Deep Learning knowledge Extraction Machine Learning Neural Networks

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Towards Robust ML-enabled software Systems: Detecting Out-of-Distribution data using Gini Coefficients 24

Towards Robust ML-enabled Software Systems: Detecting Out-of...

引用

39th ACM/IEEE international conference on Automated software engineering (ASE)

作者： Abdelkader, Hala Schneider, Jean-Guy Abdelrazek, Mohamed Rani, Priya Vasa, Rajesh Deakin Univ Geelong Vic Australia Monash Univ Melbourne Vic Australia RMIT Univ Melbourne Vic Australia

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

Machine learning (ML) models have become essential components in software systems across several domains, such as autonomous driving, healthcare, and finance. the robustness of these ML models is crucial for maintaining the software systems performance and reliability. A significant challenge arises when these systems encounter out-of-distribution (OOD) data, examples that differ from the training data distribution. OOD data can cause a degradation of the software systems performance. therefore, an effective OOD detection mechanism is essential for maintaining software system performance and robustness. Such a mechanism should identify and reject OOD inputs and alert software engineers. Current OOD detection methods rely on hyperparameters tuned with in-distribution and OOD data. However, defining the OOD data that the system will encounter in production is often infeasible. Further, the performance of these methods degrades with OOD data that has similar characteristics to the in-distribution data. In this paper, we propose a novel OOD detection method using the Gini coefficient. Our method does not require prior knowledge of OOD data or hyper-parameter tuning. On common benchmark datasets, we show that our method outperforms the existing maximum softmax probability (MSP) baseline. For a model trained on the MNIST dataset, we improve the OOD detection rate by 4% on the CIFAR10 dataset and by more than 50% for the EMNIST dataset.

关键词： Robustness Out-of-Distribution Detection Gini Coefficient

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A GENERALIZED, INDUCED PROTOCOL FOR SYSTEM DYNAMICS MODEL REPLICATION IN AN ALTERNATIVE software 45

A GENERALIZED, INDUCED PROTOCOL FOR SYSTEM DYNAMICS MODEL RE...

引用

2024 international Annual conference of the American Society for engineering Management and 45th Annual Meeting: engineering Management Riding the Waves of Smart Systems, ASEM 2024

作者： Prieto-Medrano, Cassandra Guadalupe Elizondo-Noriega, Armando Tiruvengadam, Naveen Güemes-Castorena, David Tecnologico de Monterrey Mexico Kettering University United States

ISBN: (纸本)9798985333480

the ability to simulate is influenced considerably by the software technology available to the modeler. the access, availability, and use of simulation software are, in turn, affected by cost considerations, geographical constraints of access owing to the location of modelers, multilingual capabilities of the software, and compatibility of simulation software with local technology infrastructure, among other factors. Given that new knowledge can only be built upon existing knowledge, the replicability of existing models is of paramount importance. In addition, the ability to replicate needs to be independent of the availability of the software technology used to build the original model. In our endeavor to replicate a model in different software, we have induced a generic protocol that modelers can use to guide them in a similar endeavor concerning System Dynamics simulation. Copyright © American Society for engineering Management, 2024.

关键词： System theory

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Design principles for generating and presenting automated formative feedback on code quality using software metrics 46

Design principles for generating and presenting automated fo...

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ACM/IEEE 44th international conference on software engineering: software engineering Education and Training (ICSE-SEET)

作者： van den Aker, Eddy Rahimi, Ebrahim Zuyd Univ Appl Sci Heerlen Netherlands Open Univ Heerlen Netherlands

ISBN: (纸本)9798400704987

Code quality and maintainability are among under-emphasized and often neglected topics in the curriculum of software engineering (SE) in higher *** neglect tends to overlook research findings that demonstrate SE students' programming submissions most often exhibit severe code quality issues, which are frequently left unaddressed by the ***, it can result in the software engineering curriculum becoming indifferent to the essential requirements of the software development industry, where code quality and maintainability play a crucial role in the software's cost throughout its life cycle. therefore, SE students in higher education should be trained to master the knowledge and skills of writing high-quality code. One possible approach to improving students' understanding of code quality issues is to provide automatically generated formative feedback about the code quality aspects of their programming submissions throughout the code development process. However, while there are tools available for generating automated feedback on the code quality aspects of programming submissions, they often lack a set of theory-driven design principles to underpin the content and presentation of their provided feedback. this lack of theoretical foundation makes it difficult to follow a systematic approach to designing and developing such tools, reasoning about their quality, and evaluating the effectiveness of their generated feedback. To address this lack, this study provides nine contextualized design principles for generating automated formative feedback on code quality. these design principles are rooted in solid educational constructs about feedback and learning dashboards, and empirically validated and contextualized by two focus group sessions consisting of 8 senior SE students and 2 teachers. this approach has resulted in a set of contextualized design principles. these design principles can be used to guide the implementation of tools that provide

关键词： Programming education undergraduate education design principles code quality formative feedback automated feedback

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Making Explicit the Problem and Context to Address in Project-Based software engineering Courses

Making Explicit the Problem and Context to Address in Projec...

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conference on Human Interface and the Management of Information thematic Area (HIMI) Held as Part of the 26th international conference on Human-Computer Interaction (HCII)

作者： Vera, Tomas Pereira-Vale, Anelis Perovich, Daniel Ochoa, Sergio F. Marques, Maira Univ Chile Dept Comp Sci Santiago Chile Zenta Grp Santiago Chile Boston Coll Dept Comp Sci Chestnut Hill MA 02167 USA

ISBN: (纸本)9783031601248;9783031601255

In project-based software engineering courses, development teams conformed by students explore the context and problem to address in their projects, before proposing any solution. the quality of this exploration, and the resulting output, usually make a difference on how quickly the development team identifies the goal and scope of the product to be developed. this exploration activity is usually complex and time consuming, since it requires dealing with uncertainties and misunderstandings between the development team and real or fictitious stakeholders. For that reason, the early exploration of the context and problem has been identified as a major and recurrent source of problems in software projects conducted in the industry and the academia. this paper presents an interactive visual tool that helps students explore the context and problem to address in project-based software engineering courses. the tool was used and evaluated by students from four different courses in two universities. According to the participants, the perceived usability and usefulness of the tool is high, surpassing the students' previous experiences when they used requirements engineering techniques for the same purpose.

关键词： software project problem and context exploration interactive visual instrument project-based software engineering course visual knowledge shared space

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Systematic Review of the Literature on software Process Automation 18th

Systematic Review of the Literature on Software Process Auto...

引用

18th Colombian conference on Computing

作者： Bermon-Angarita, Leonardo Cano-Salazar, Camilo Univ Nacl Colombia Dept Informat & Comp Manizales Caldas Colombia

ISBN: (纸本)9783031752353;9783031752360

In recent years, researchers and software developers have applied software process automation techniques during the execution of projects achieving acceptable results. thus, a considerable variety of process automation techniques are applied in each of its phases. the objective of this study is to perform a systematic review of the literature on software process automation techniques. the results indicate that automation techniques are consolidated in phases such as testing, continuous integration and model-based software engineering. these techniques are being implemented to optimize build time, provide greater product autonomy and rely less and less on software engineers. Some of these solutions are focused on improving the phases of the process, in order to build quality software at lower cost and in less time.

关键词： software Process Automation software engineering

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18th international Joint conference on Biomedical engineering Systems and Technologies, BIOSTEC 2025

18th International Joint Conference on Biomedical Engineerin...

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18th international Joint conference on Biomedical engineering Systems and Technologies, BIOSTEC 2025

the proceedings contain 256 papers. the special focus in this conference is on Biomedical engineering Systems and Technologies. the topics include: Cross-Domain Transfer Learning for Domain Adaptation in Autism Spectrum Disorder Diagnosis;an Interpretable Machine Learning Model for Meningioma Grade Prediction;approximation of Inertial Measurement Unit Data to Time Series Kinematic Data through Correlation Analysis and Machine Learning;Privacy-Preserving Mortality Prediction in ICUs Using Federated Learning;trends in Drug Prescriptions in the Outpatient Physician Sector in a German Federal State from 2014 to 2023 Using Morbidity Related Groups, Correlations and Partial Correlations;quality Clustering for Reducing the Search Space for Mobile Stroke Unit Allocation;leveraging Cross-Verification to Enhance Zero-Shot Prompting for Care Document Data Extraction;Integrating Gait and Clinical Data with Explainable Artificial Intelligence for Parkinson’s Prediction: the EDAM System;Unveiling Breast Cancer Causes through knowledge Graph Analysis and BioBERT-Based Factuality Prediction;optimizing Blood Transfusions and Predicting Shortages in Resource-Constrained Areas;using Machine Learning to Assess the Impact of Harsh Violent Discipline on Children and Adolescents in Lowand Middle-Income Countries: A Comparative Analysis Focusing on Its Relationship with Disabilities;HealthAIDE: Developing an Audit Framework for AI-Generated Online Health Information;enhancing Diagnostic Accuracy of Drug-Resistant Tuberculosis on Chest X-Rays Using Data-Efficient Image Transformers;CFC Annotator: A Cluster-Focused Combination Algorithm for Annotating Electronic Health Records by Referencing Interface Terminology;novel Approach to De-Identify Relational Healthcare Databases at Rest: A De-Identification of Key Data Approach;enhancing Fracture Aftercare through a Human-Centered Mobile App Design;challenges of Generalizing Machine Learning Models in Healthcare.

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Domain Adaptation for Image Segmentation with Category-Guide Classifier 18

Domain Adaptation for Image Segmentation with Category-Guide...

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18th international conference on Intelligent Systems and knowledge engineering, ISKE 2023

作者： Li, Keqiuyin Lu, Jie Zuo, Hua Zhang, Guangquan University of Technology Sydney Australian Artificial Intelligence Institute Faculty of Engineering and IT SydneyNSW Australia

ISBN: (纸本)9798350318401

Unsupervised domain adaptation gains remarkable progress in real visual tasks by leveraging the learned knowledge from labeled source domain to solve a similar task from unlabeled target domain by adopting pre-trained large models. Fine-tuning is the most popular approach to adapt source model to the target domain when facing data inaccessibility or it is expensive to match features because of data or model size. In this situation, self-supervised learning is introduced to domain adaptation to fine-tune the source model to performed on target domain. However, many existing methods rarely take imbalanced category distributions into account. In this paper, we designs a category-guide classifier (CGC) domain adaptation model for image segmentation, which leverages regional frequency from different categories of an image to improve the recognition ability of global prediction by combining the outputs of multiple classifiers. the experiments on real-world datasets can indicate the superiority of the propose CGC model. © 2023 IEEE.

关键词： Image segmentation

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18th international Joint conference on Biomedical engineering Systems and Technologies, BIOSTEC 2025

18th International Joint Conference on Biomedical Engineerin...

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18th international Joint conference on Biomedical engineering Systems and Technologies, BIOSTEC 2025

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From Traditional to Agile Methodologies in software Project Management Education: A Case Study 24

From Traditional to Agile Methodologies in Software Project ...

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16th international conference on Education Technology and Computers

作者： Santos, Mickael Fonseca Filipe, Ricardo Angelo Cunha, Joao Carlos Polytech Univ Coimbra Coimbra Inst Engn Coimbra Portugal

ISBN: (纸本)9798400717819

Nowadays, agile methodologies are being increasingly adopted in the software development industry, replacing traditional methodologies. In this way, software engineering courses have been following the industry, and are therefore increasingly teaching students to follow agile methodologies and practices rather than traditional ones. this paper describes and analyzes this transition in a software Project Management course at a higher-education institution. this experiment took place over two academic years, with Waterfall being used in the first year and Scrum in the second. the Learning Outcomes in both years are the same: to gain competences in managing software projects in small teams;but the steps to reach these competences changed according to the current trends in the area. the results obtained by the students show that, by following Scrum, the students demonstrated being more capable of developing software in teams, focused on the clients, and acquired more knowledge in fundamental areas of software development.

关键词： software Development Methodologies software Project Management Education Traditional to Agile

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