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检索条件"机构=Machine Learning and Data Analytics Group"
52 条 记 录,以下是1-10 订阅
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The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks  38
The Map Equation Goes Neural: Mapping Network Flows with Gra...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Blöcker, Christopher Tan, Chester Scholtes, Ingo Data Analytics Group Department of Informatics University of Zurich Switzerland Machine Learning for Complex Networks Center for Artificial Intelligence and Data Science Julius-Maximilians-Universität Würzburg Germany
Community detection is an essential tool for unsupervised data exploration and revealing the organisational structure of networked systems. With a long history in network science, community detection typically relies ...
来源: 评论
A Unified Approach Towards Active learning and Out-of-Distribution Detection
arXiv
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arXiv 2024年
作者: Schmidt, Sebastian Schenk, Leonard Schwinn, Leo Günnemann, Stephan BMW Group Munich Germany Technical University of Munich Data Analytics and Machine Learning Group Munich Germany
When applying deep learning models in open-world scenarios, active learning (AL) strategies are crucial for identifying label candidates from a nearly infinite amount of unlabeled data. In this context, robust out-of-... 详细信息
来源: 评论
Stream-based Active learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss
arXiv
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arXiv 2023年
作者: Schmidt, Sebastian Günnemann, Stephan BMW Group Munich Germany Technical University of Munich Data Analytics and Machine Learning Group Munich Germany
Active learning (AL) reduces the amount of labeled data needed to train a machine learning model by intelligently choosing which instances to label. Classic pool-based AL requires all data to be present in a datacente... 详细信息
来源: 评论
Design and Implementation of a data Governance Framework and Platform: A Case Study of a National Research Organization of Thailand  20
Design and Implementation of a Data Governance Framework and...
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20th International Joint Conference on Computer Science and Software Engineering, JCSSE 2023
作者: Chanyachatchawan, Sapa Nasingkun, Krich Tumsangthong, Patipat Chata, Porntiwa Buranarach, Marut Socharoentum, Monsak National Electronics and Computer Technology Center Leveraging Technology Solutions Section Bangkok Thailand National Electronics and Computer Technology Center Strategic Analytics Networks with Machine Learning and Ai Research Bangkok Thailand National Electronics and Computer Technology Center Data Science and Analytics Research Group Bangkok Thailand Digital Government Development Agency Bangkok Thailand
In the current era of extensive data usage across industries, data collection, preservation, utilization, and organization has become more challenging and nuanced because it is necessary to consider critical concerns ... 详细信息
来源: 评论
Predicting Influential Higher-Order Patterns in Temporal Network data  14
Predicting Influential Higher-Order Patterns in Temporal Net...
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14th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022
作者: Gote, Christoph Perri, Vincenzo Scholtes, Ingo Data Analytics Group University of Zurich Zurich Switzerland Eth Zurich Systems Design Switzerland Julius-Maximilians-Universität Würzburg Chair of Machine Learning for Complex Networks Würzburg Germany
Networks are frequently used to model complex systems comprised of interacting elements. While edges capture the topology of direct interactions, the true complexity of many systems originates from higher-order patter... 详细信息
来源: 评论
p-value adjustment for monotonous, unbiased, and fast clustering comparison  23
p-value adjustment for monotonous, unbiased, and fast cluste...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Kai Klede Thomas Altstidl Dario Zanca Björn Eskofier Machine Learning and Data Analytics (MaD) Lab Friedrich-Alexander Universität Erlangen-Nürnberg Machine Learning and Data Analytics (MaD) Lab Friedrich-Alexander Universität Erlangen-Nürnberg and Translational Digital Health Group Institute of AI for Health Helmholtz Zentrum München
Popular metrics for clustering comparison, like the Adjusted Rand Index and the Adjusted Mutual Information, are type II biased. The Standardized Mutual Information removes this bias but suffers from counterintuitive ...
来源: 评论
Beyond the Known: Adversarial Autoencoders in Novelty Detection
arXiv
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arXiv 2024年
作者: Asad, Muhammad Ullah, Ihsan Sistu, Ganesh Madden, Michael G. Machine Learning Research Group School of Computer Science University of Galway Ireland Insight SFI Research Centre for Data Analytics University of Galway Ireland Valeo Vision Systems Tuam Ireland
In novelty detection, the goal is to decide if a new data point should be categorized as an inlier or an outlier, given a training dataset that primarily captures the inlier distribution. Recent approaches typically u... 详细信息
来源: 评论
Depth Estimation using Weighted-loss and Transfer learning
arXiv
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arXiv 2024年
作者: Hafeez, Muhammad Adeel Madden, Michael G. Sistu, Ganesh Ullah, Ihsan Machine Learning Research Group School of Computer Science University of Galway Ireland Insight SFI Research Centre for Data Analytics University of Galway Ireland Valeo Vision Systems Tuam Ireland
Depth estimation from 2D images is a common computer vision task that has applications in many fields including autonomous vehicles, scene understanding and robotics. The accuracy of a supervised depth estimation meth... 详细信息
来源: 评论
Deep learning algorithms to classify Fitzpatrick skin types for smartphone based NIRS imaging device  15
Deep learning algorithms to classify Fitzpatrick skin types ...
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Next-Generation Spectroscopic Technologies XV 2023
作者: Leizaola, Daniela Sobhan, Masrur Kaile, Kacie Mondal, Ananda Mohan Godavarty, Anuradha Optical Imaging Laboratory Department of Biomedical Engineering Florida International University 10555 W Flagler St MiamiFL33174 United States Machine Learning and Data Analytics Group Knight Foundation School Computing and Information Sciences Florida International University 11200 SW 8th St MiamiFL33199 United States
Non-contact imaging modalities for monitoring wound health could supplement the current standard which is a visual inspection by clinicians. Recently, a smartphone oxygenation tool (SPOT) has been developed for physio... 详细信息
来源: 评论
A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking  15th
A Two-Stage Minimum Cost Multicut Approach to Self-supervise...
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15th Asian Conference on Computer Vision, ACCV 2020
作者: Ho, Kalun Kardoost, Amirhossein Pfreundt, Franz-Josef Keuper, Janis Keuper, Margret Fraunhofer Center Machine Learning Sankt Augustin Germany CC-HPC Fraunhofer ITWM Kaiserslautern Germany Data and Web Science Group University of Mannheim Mannheim Germany Institute for Machine Learning and Analytics Offenburg University Offenburg Germany
Multiple Object Tracking (MOT) is a long-standing task in computer vision. Current approaches based on the tracking by detection paradigm either require some sort of domain knowledge or supervision to associate data c... 详细信息
来源: 评论