Recently, knowledge graph embedding (KGE) methods under the federated learning paradigm have received much attention. Its privacy-preserving decentralized training method effectively utilizes the knowledge graphs held...
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Meningioma is one of the most common and serious intracranial tumors. Multiparametric MRI (mpMRI) has been shown to provide significant information for precise tumor diagnosis. Manual segmentation of the meningioma is...
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Urbanization and the transformation toward sustainability pose new challenges to governments, leading to an increase in citizen participation in urban planning. Due to the demand for scalability, urban participation i...
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ISBN:
(纸本)9783031611742;9783031611759
Urbanization and the transformation toward sustainability pose new challenges to governments, leading to an increase in citizen participation in urban planning. Due to the demand for scalability, urban participation is often conducted online. However, past projects showed that the asynchronous and impersonal exchange reduces the value of citizens' submissions as inquiries are omitted. Thus, this study investigates how to design an IT artifact to support citizens in contributing to online participation in urban planning projects. To do so, we initiated a design science research project. We analyzed the literature to define issues, formulate meta-requirements, and derive design principles to develop and qualitatively evaluate an AI-based prototype that enables immediate responses to citizens considering their contributions. This study contributes to the field of information systems with prescriptive knowledge. Furthermore, this study can guide practitioners in citizen participation in urban planning in building and utilizing digital tools to support citizens in contributing to subsequent processes.
Universal domain adaptation (UniDA) aims to address domain and category shifts across data sources. Recently, due to more stringent data restrictions, researchers have introduced source-free UniDA (SF-UniDA). SF-UniDA...
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Transformer has taken computer vision field by storm in recent years and is becoming increasingly popular in both academia and industry. However, the remarkable success is largely fueled by training on massive samples...
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This study addresses the bipartite graph weight maximum matching problem with a focus on achieving fairness. We introduce a deterministic truthful mechanism and a universal truthful mechanism tailored for fair matchin...
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Deep convolutional neural networks have been widely used in scene classification of remotely sensed images. In this work, we propose a robust learning method for the task that is secure against partially incorrect cat...
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Image dehazing aims to restore clean images from hazy ones. Convolutional Neural Networks (CNNs) and Transformers have demonstrated exceptional performance in local and global feature extraction, respectively, and cur...
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Generative artificial intelligence (GAI) has the potential to transform software development practices with prior research indicating significant overall enhancements in developers' productivity. However, there ex...
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ISBN:
(纸本)9783031611742;9783031611759
Generative artificial intelligence (GAI) has the potential to transform software development practices with prior research indicating significant overall enhancements in developers' productivity. However, there exists a lack of design knowledge for organization-specific GAI systems to assist software development. To bridge this research gap, we derive a design framework for collaborative GAI systems in software development following design science research. Specifically, we conducted eight interviews with practitioners and reviewed extant literature to formulate design requirements and design principles. In our analysis of the literature and our qualitative data, we identify problems surrounding usability, data privacy, hallucination and transparency. To address these problems, we propose GAI system designs that enable user-centricity, data protection, quality control and communication. Our findings contribute valuable design knowledge to the field of generative AI and organizational software development practices.
The proceedings contain 50 papers. The special focus in this conference is on Current Trends in Theory and Practice of computerscience. The topics include: Parameterized Complexity of Feedback Vertex Set with...
ISBN:
(纸本)9783031826696
The proceedings contain 50 papers. The special focus in this conference is on Current Trends in Theory and Practice of computerscience. The topics include: Parameterized Complexity of Feedback Vertex Set with Connectivity Constraints;online b-Matching with Stochastic Rewards;shortest Longest-Path Graph Orientations for Trees;parameterized Complexity of Generalizations of Edge Dominating Set;beyond Image-Text Matching: Verb Understanding in Multimodal Transformers Using Guided Masking;on the Complexity of Minimum Membership Dominating Set;on the Structural Parameterized Complexity of Defective Coloring;Dynamic Range Minimum Queries on the Ultra-wide Word RAM;fast Practical Compression of Deterministic Finite Automata;orienteering (with Time Windows) on Restricted Graph Classes;massively Parallel Maximum Coverage Revisited;distance Vector Domination;sufficient Conditions for Polynomial-Time Detection of Induced Minors;pathways to Tractability for Geometric Thickness;minimum Monotone Spanning Trees;representing Hypergraphs by Point-Line Incidences;reachability in Temporal Graphs Under Perturbation;on Computational Completeness of Semi-Conditional Matrix Grammars;Outer-(ap)RAC Graphs;forest Covers and Bounded Forest Covers;multi-agent Search-Type Problems on Polygons: (Extended Abstract);generation of Cycle Permutation Graphs and Permutation Snarks;expected Density of Random Minimizers.
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