標題: Titlebook: Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track; European Conference, Gianmarco De Francisci Mor [打印本頁] 作者: minuscule 時間: 2025-3-21 17:22
書目名稱Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track影響因子(影響力)
書目名稱Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track影響因子(影響力)學科排名
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書目名稱Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track網絡公開度學科排名
書目名稱Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track被引頻次
書目名稱Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track被引頻次學科排名
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書目名稱Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track年度引用學科排名
書目名稱Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track讀者反饋
書目名稱Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track讀者反饋學科排名
作者: dry-eye 時間: 2025-3-21 20:51
Counterfactual Explanations for?Remote Sensing Time Series Data: An Application to?Land Cover Classi remote sensing, in which scientists and practitioners with diverse backgrounds work together to monitor the Earth’s surface. In this context, counterfactual explanations are an emerging tool to characterize the behaviour of machine learning systems, by providing a post-hoc analysis of a given class作者: 胎兒 時間: 2025-3-22 03:01 作者: cocoon 時間: 2025-3-22 07:54
Comprehensive Transformer-Based Model Architecture for?Real-World Storm Predictiontion model usually incurs excessive computational overhead due to employing atmosphere physical equations and complicated data assimilation. In this work, we strive to develop a lightweight and portable Transformer-based model architecture, which takes satellite and radar images as its input, for re作者: construct 時間: 2025-3-22 12:15 作者: Infelicity 時間: 2025-3-22 14:52
Deep Spatiotemporal Clustering: A Temporal Clustering Approach for?Multi-dimensional Climate Dataate-of-the-art methods for unsupervised clustering use different similarity and distance functions but focus on either spatial or temporal features of the data. Concentrating on joint deep representation learning of spatial and temporal features, we propose Deep Spatiotemporal Clustering (DSC), a no作者: Throttle 時間: 2025-3-22 18:46 作者: curriculum 時間: 2025-3-22 23:35
Pre-training Contextual Location Embeddings in?Personal Trajectories via?Efficient Hierarchical Localing the location embedding is too expensive, due to the large number of locations to be trained in situations with fine-grained resolution or extensive target regions. Previous studies have handled less than ten thousand distinct locations, which is insufficient in the real-world applications. To t作者: 考得 時間: 2025-3-23 02:09
Leveraging Queue Length and?Attention Mechanisms for?Enhanced Traffic Signal Control Optimizationased TSC methods tend to focus primarily on the RL model structure while neglecting the significance of proper traffic state representation. Furthermore, some RL-based methods heavily rely on expert-designed traffic signal phase competition. In this paper, we present a novel approach to TSC that uti作者: 想象 時間: 2025-3-23 07:04
PICT: Precision-enhanced Road Intersection Recognition Using Cycling Trajectoriesever, the existing approaches mainly identify road intersections based on motor vehicles’ trajectories, and they fail to tackle unique challenges posed by cycling trajectories: (i) Cycling trajectories of minor intersections and their adjacent road segments are quite sparse. (ii) Turning behaviors o作者: 啜泣 時間: 2025-3-23 10:42 作者: prostatitis 時間: 2025-3-23 17:50 作者: 晚間 時間: 2025-3-23 21:26 作者: asthma 時間: 2025-3-23 22:27
Data-Driven Explainable Artificial Intelligence for?Energy Efficiency in?Short-Sea Shippingnd environmental measurements from onboard instruments and external sources, are critical for achieving this goal. Short-sea shipping presents a unique challenge due to the significant influence of surrounding landscape characteristics. With high-resolution onboard data increasingly accessible throu作者: 抱怨 時間: 2025-3-24 05:50
Multivariate Time-Series Anomaly Detection with?Temporal Self-supervision and?Graphs: Application toaditional approaches often rely on rule-based or heuristic methods that may not be effective in detecting subtle anomalies, rare events, or in more modern vehicles containing a complex sensory network. This paper presents a novel approach to vehicle failure prediction, called mVSG-VFP, which employs作者: abduction 時間: 2025-3-24 07:15 作者: 法律 時間: 2025-3-24 11:10
TDCM: Transport Destination Calibrating Based on?Multi-task Learninglications such as transport task dispatching and route planning. But due to manual input errors of the operators and dynamic changes of the destination’s location, the address of destination is not always correct and complete. To tackle this issue, we propose .ransport .estination .alibration framew作者: 同時發(fā)生 時間: 2025-3-24 18:04
ssential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: Misnomer 時間: 2025-3-24 21:54 作者: probate 時間: 2025-3-25 03:04
Arian Prabowo,Kaixuan Chen,Hao Xue,Subbu Sethuvenkatraman,Flora D. Salimssential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: sed-rate 時間: 2025-3-25 06:36 作者: Conquest 時間: 2025-3-25 07:51
Yifan Zhao,Xian Yang,Ranga Raju Vatsavaissential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: 獸皮 時間: 2025-3-25 12:44
Fudong Lin,Xu Yuan,Yihe Zhang,Purushottam Sigdel,Li Chen,Lu Peng,Nian-Feng Tzengssential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: overture 時間: 2025-3-25 19:14
Chetraj Pandey,Rafal A. Angryk,Berkay Aydinssential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: glomeruli 時間: 2025-3-25 21:53 作者: STENT 時間: 2025-3-26 01:58 作者: Encoding 時間: 2025-3-26 07:37
ssential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: 舉止粗野的人 時間: 2025-3-26 08:43 作者: DEAWL 時間: 2025-3-26 14:41
Liang Zhang,Shubin Xie,Jianming Dengssential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: omnibus 時間: 2025-3-26 18:55
Wenyu Wu,Wenyi Shen,Jiali Mao,Lisheng Zhao,Shaosheng Cao,Aoying Zhou,Lin Zhoussential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: 運動的我 時間: 2025-3-26 23:44
Zhanyu Liu,Chumeng Liang,Guanjie Zheng,Hua Weissential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: 運動吧 時間: 2025-3-27 02:57
Felix Clemens Gail,Roland Rieke,Florian Fenzlssential for reproducible results.Contains key notes and imp.The innate immune response is a crucial component of early resistance to infection, and it is now revealing increasing levels of complexity. The ability to modify the genome in vivo, has facilitated understanding of complex interactions be作者: 迷住 時間: 2025-3-27 07:20
Yujie Fan,Chin-Chia Michael Yeh,Huiyuan Chen,Liang Wang,Zhongfang Zhuang,Junpeng Wang,Xin Dai,Yan Zhg various aspects of leukemogenesis. The major conclusions drawn in this review are: a) DLVs carry host-derived oncogenes which they can reintroduce into cells via infection, b) DLVs cause leukemias within a period of weeks to months in a non-clonal fashion, c) The majority of DLV target cells are c作者: 果核 時間: 2025-3-27 11:06 作者: LAST 時間: 2025-3-27 16:13 作者: fluoroscopy 時間: 2025-3-27 18:24 作者: brother 時間: 2025-3-27 22:56
Tao Wu,Kaixuan Zhu,Jiali Mao,Miaomiao Yang,Aoying Zhou leading researchers in the field.Systematic and reliable mo.Recent advances in molecular and cellular biology techniques have significantly improved our ability to detect, monitor, model and study the underlying molecular basis and pathogenesis of leukemia, yet we are still in an early discovery st作者: GEM 時間: 2025-3-28 03:57 作者: Peristalsis 時間: 2025-3-28 08:23 作者: strain 時間: 2025-3-28 11:58
https://doi.org/10.1007/978-3-031-43430-3artificial intelligence; computer hardware; computer networks; computer security; computer systems; compu作者: BLOT 時間: 2025-3-28 18:29 作者: verdict 時間: 2025-3-28 21:33
978-3-031-43429-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: reflection 時間: 2025-3-29 00:46
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track978-3-031-43430-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 幻影 時間: 2025-3-29 03:41
Continually Learning Out-of-Distribution Spatiotemporal Data for?Robust Energy Forecasting accordingly. With online learning, models can be updated incrementally with each new data point, allowing them to learn and adapt in real-time. Continual learning methods offer a powerful solution to address the challenge of catastrophic forgetting in online learning, allowing energy forecasting mo作者: Incorruptible 時間: 2025-3-29 09:35 作者: 替代品 時間: 2025-3-29 15:12 作者: 秘密會議 時間: 2025-3-29 18:12
Comprehensive Transformer-Based Model Architecture for?Real-World Storm Predictionepresentation and for predicting weather events. Specifically, the representation learning stage employs (1) multiple masked autoencoders (MAE)-based encoders with different scalability degrees for extracting multi-scale image patterns and (2) the Word2vec tool to enact their temporal representation作者: Flirtatious 時間: 2025-3-29 23:34 作者: 猛然一拉 時間: 2025-3-30 02:38 作者: Barter 時間: 2025-3-30 08:01
Circle Attention: Forecasting Network Traffic by?Learning Interpretable Spatial Relationships from?Ioring time series, allowing our model to focus on the most important time series when making predictions. The circle parameters are learned automatically through back-propagation, with the only signal available being the errors made in the traffic forecasting of each sector. To validate the effectiv作者: 瑣碎 時間: 2025-3-30 10:54 作者: AVID 時間: 2025-3-30 14:03 作者: Amplify 時間: 2025-3-30 19:05
PICT: Precision-enhanced Road Intersection Recognition Using Cycling Trajectoriesward to identify the intersections of different scales correctly. Finally, extensive comparative experiments on two real-world datasets demonstrate that . significantly outperforms the state-of-the-art methods by 52.13% in the F1-score of intersection recognition.作者: cruise 時間: 2025-3-30 23:13
FDTI: Fine-Grained Deep Traffic Inference with?Roadnet-Enriched Graphate that our method achieves state-of-the-art performance and learned traffic dynamics with good properties. To the best of our knowledge, we are the first to conduct the city-level fine-grained traffic prediction.作者: languid 時間: 2025-3-31 02:01
RulEth: Genetic Programming-Driven Derivation of?Security Rules for?Automotive Ethernets. Although the attacks examined in this work are far more complex than those considered in most other works in the automotive domain, our results show that most of the attacks examined can be well identified. By being able to evaluate each rule generated separately, the rules that are not working e作者: expunge 時間: 2025-3-31 05:31
Spatial-Temporal Graph Sandwich Transformer for?Traffic Flow Forecastingansformer as sliced meat to capture prosperous spatial-temporal interactions. We also assemble a set of such sandwich Transformers together to strengthen the correlations between spatial and temporal domains. Extensive experimental studies are performed on public traffic benchmarks. Promising result作者: Ophthalmoscope 時間: 2025-3-31 12:50 作者: Rebate 時間: 2025-3-31 16:28 作者: Germinate 時間: 2025-3-31 18:55
Predictive Maintenance, Adversarial Autoencoders and?Explainabilityur to minimize negative impacts, but also to provide explanations for the failure warnings that can aid in decision-making processes. We propose an autoencoder architecture trained with an adversarial loss, known as the Wasserstein Autoencoder with Generative Adversarial Network (WAE-GAN), designed 作者: 腫塊 時間: 2025-3-31 23:42
