BibSonomy bookmarks for /user/scchhttps://www.bibsonomy.org/user/scchBibSonomy RSS Feed for /user/scch[2607.29553] COntExt: Towards Context-Aware Ontology Extension from Operational MetricsAbstract page for arXiv paper 2607.29553: COntExt: Towards Context-Aware Ontology Extension from Operational Metricshttps://arxiv.org/abs/2607.29553scch2026-08-06T12:35:35+02:00Context-Aware Extension Ontology <span itemprop="description">Abstract page for arXiv paper 2607.29553: COntExt: Towards Context-Aware Ontology Extension from Operational Metrics</span>[2604.09163] Evaluating Data Quality Tools: Measurement Capabilities and LLM IntegrationAbstract page for arXiv paper 2604.09163: Evaluating Data Quality Tools: Measurement Capabilities and LLM Integrationhttps://arxiv.org/abs/2604.09163scch2026-08-06T12:35:10+02:00Data Evaluating Quality Tools <span itemprop="description">Abstract page for arXiv paper 2604.09163: Evaluating Data Quality Tools: Measurement Capabilities and LLM Integration</span>An Event-Streaming Architecture for Machine Learning in Dynamic Sensor Landscapeshttps://www.sciencedirect.com/science/article/pii/S1877050926002292scch2026-08-04T11:52:02+02:00Dynamic Landscapes Sensor <a itemprop="url" data-versiondate="2026-08-04T11:52:02+02:00" href="https://www.sciencedirect.com/science/article/pii/S1877050926002292" rel="nofollow" class="description-link">https://www.sciencedirect.com/science/article/pii/S1877050926002292</a>Enhanced Interpretability in Root Cause Analysis Using Structure-Template Symbolic Regressionhttps://www.sciencedirect.com/science/article/pii/S1877050926004266scch2026-08-04T11:50:56+02:00Analysis Cause Root <a itemprop="url" data-versiondate="2026-08-04T11:50:56+02:00" href="https://www.sciencedirect.com/science/article/pii/S1877050926004266" rel="nofollow" class="description-link">https://www.sciencedirect.com/science/article/pii/S1877050926004266</a>On the Effects of Continuous Pruning on Symbolic Regression for Different Variants of Evolutionary Search | Springer Nature LinkIn machine learning, pruningpruningtechniques are often used in decision trees, rule-based learning, or neural networks to obtain simpler models. In addition to improving interpretabilityinterpretability, the use of pruningpruningis often motivated by the avoidance...https://link.springer.com/chapter/10.1007/978-981-95-6398-2_1scch2026-08-04T11:49:52+02:00Continuous Pruning Regression Symbolic <span itemprop="description">In machine learning, pruningpruningtechniques are often used in decision trees, rule-based learning, or neural networks to obtain simpler models. In addition to improving interpretabilityinterpretability, the use of pruningpruningis often motivated by the avoidance...</span>Release date optimisation in MRP using clearing functionshttps://www.tandfonline.com/doi/abs/10.1080/00207543.2026.2625240scch2026-08-04T11:48:15+02:00Release date optimisation <a itemprop="url" data-versiondate="2026-08-04T11:48:15+02:00" href="https://www.tandfonline.com/doi/abs/10.1080/00207543.2026.2625240" rel="nofollow" class="description-link">https://www.tandfonline.com/doi/abs/10.1080/00207543.2026.2625240</a>Causally-Guided Pairwise Transformer - Towards Foundational Digital Twins in Process Industryhttps://www.sciencedirect.com/science/article/pii/S1877050926001754scch2026-08-04T11:42:45+02:00Digital Foundational Towards Twins <a itemprop="url" data-versiondate="2026-08-04T11:42:45+02:00" href="https://www.sciencedirect.com/science/article/pii/S1877050926001754" rel="nofollow" class="description-link">https://www.sciencedirect.com/science/article/pii/S1877050926001754</a>[2510.13987] A Rigorous Quantum Framework for Inequality-Constrained and Multi-Objective Binary Optimization: Quadratic Cost Functions and Empirical EvaluationsAbstract page for arXiv paper 2510.13987: A Rigorous Quantum Framework for Inequality-Constrained and Multi-Objective Binary Optimization: Quadratic Cost Functions and Empirical Evaluationshttps://arxiv.org/abs/2510.13987scch2026-08-03T09:50:04+02:00Framework Quantum Rigorous <span itemprop="description">Abstract page for arXiv paper 2510.13987: A Rigorous Quantum Framework for Inequality-Constrained and Multi-Objective Binary Optimization: Quadratic Cost Functions and Empirical Evaluations</span>Extensible and Robust Evaluation of Similarity Querieshttps://www.vldb.org/pvldb/vol18/p3868-schmitt.pdfscch2026-06-23T15:19:40+02:00Evaluation Robust SimilarityQueries <a itemprop="url" data-versiondate="2026-06-23T15:19:40+02:00" href="https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdf" rel="nofollow" class="description-link">https://www.vldb.org/pvldb/vol18/p3868-schmitt.pdf</a>Exploiting Space Folding by Neural Networkshttps://ojs.aaai.org/index.php/AAAI/article/view/39446scch2026-06-22T12:52:18+02:00Exploiting Folding Networks Neural Space <a itemprop="url" data-versiondate="2026-06-22T12:52:18+02:00" href="https://ojs.aaai.org/index.php/AAAI/article/view/39446" rel="nofollow" class="description-link">https://ojs.aaai.org/index.php/AAAI/article/view/39446</a>Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent | Journal of Artificial Intelligence Researchhttps://www.jair.org/index.php/jair/article/view/16821scch2026-06-22T12:51:07+02:00Beyond Collaborative Learning <a itemprop="url" data-versiondate="2026-06-22T12:51:07+02:00" href="https://www.jair.org/index.php/jair/article/view/16821" rel="nofollow" class="description-link">https://www.jair.org/index.php/jair/article/view/16821</a>[2605.02950] Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic SpacesAbstract page for arXiv paper 2605.02950: Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaceshttps://arxiv.org/abs/2605.02950scch2026-06-22T12:49:58+02:00Affine Hull Kernel Machines <span itemprop="description">Abstract page for arXiv paper 2605.02950: Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces</span>Specialized Deep Residual Policy Reinforcement Learning Framework for Safe and Adaptive Continuous Controlhttps://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/cth2.70099scch2026-06-22T12:49:02+02:00Adaptive Continuous Control <a itemprop="url" data-versiondate="2026-06-22T12:49:02+02:00" href="https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/cth2.70099" rel="nofollow" class="description-link">https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/cth2.70099</a>[2604.09277] A Catalog of Data ErrorsAbstract page for arXiv paper 2604.09277: A Catalog of Data Errorshttps://arxiv.org/abs/2604.09277scch2026-06-22T12:46:46+02:00Data Errors <span itemprop="description">Abstract page for arXiv paper 2604.09277: A Catalog of Data Errors</span>A Survey on the Functionalities of Data Catalog Toolshttps://ieeexplore.ieee.org/abstract/document/10994484/scch2026-04-13T09:19:51+02:00Catalog Data Functionalities Tools <a itemprop="url" data-versiondate="2026-04-13T09:19:51+02:00" href="https://ieeexplore.ieee.org/abstract/document/10994484/" rel="nofollow" class="description-link">https://ieeexplore.ieee.org/abstract/document/10994484/</a>Reproducibility Report for ACM SIGMOD 2025 Paper: 'CRDV: Conflict-free Replicated Data Views'https://dl.acm.org/doi/abs/10.1145/3785021.3787996scch2026-04-13T09:19:16+02:00Report Reproducibility <a itemprop="url" data-versiondate="2026-04-13T09:19:16+02:00" href="https://dl.acm.org/doi/abs/10.1145/3785021.3787996" rel="nofollow" class="description-link">https://dl.acm.org/doi/abs/10.1145/3785021.3787996</a>AI-Driven Predictive Maintenance in Industrial IoTs: A Comprehensive Surveyhttps://ieeexplore.ieee.org/abstract/document/11370775/scch2026-04-13T09:14:33+02:00AI-Driven Maintenance Predictive <a itemprop="url" data-versiondate="2026-04-13T09:14:33+02:00" href="https://ieeexplore.ieee.org/abstract/document/11370775/" rel="nofollow" class="description-link">https://ieeexplore.ieee.org/abstract/document/11370775/</a>Unfolding Data Quality Dimensions in Practice: A Surveyhttps://dl.acm.org/doi/abs/10.1145/3786328scch2026-04-13T09:13:34+02:00Data Dimensions Quality Unfolding <a itemprop="url" data-versiondate="2026-04-13T09:13:34+02:00" href="https://dl.acm.org/doi/abs/10.1145/3786328" rel="nofollow" class="description-link">https://dl.acm.org/doi/abs/10.1145/3786328</a>Exploiting Space Folding by Neural Networkshttps://ojs.aaai.org/index.php/AAAI/article/view/39446/43407scch2026-04-13T09:12:20+02:00Exploiting Folding Networks Neural Space <a itemprop="url" data-versiondate="2026-04-13T09:12:20+02:00" href="https://ojs.aaai.org/index.php/AAAI/article/view/39446/43407" rel="nofollow" class="description-link">https://ojs.aaai.org/index.php/AAAI/article/view/39446/43407</a>An Overview of Microservice-Based Systems Used for Evaluation in Testing and Monitoring: A Systematic Mapping Studyhttps://dl.acm.org/doi/abs/10.1145/3644032.3644445scch2026-01-28T13:14:04+01:00Evaluation Monitoring Testing <a itemprop="url" data-versiondate="2026-01-28T13:14:04+01:00" href="https://dl.acm.org/doi/abs/10.1145/3644032.3644445" rel="nofollow" class="description-link">https://dl.acm.org/doi/abs/10.1145/3644032.3644445</a>