標(biāo)題: Titlebook: Intelligent Information and Database Systems; 14th Asian Conferenc Ngoc Thanh Nguyen,Tien Khoa Tran,Edward Szczerbick Conference proceeding [打印本頁(yè)] 作者: Amalgam 時(shí)間: 2025-3-21 18:55
書(shū)目名稱Intelligent Information and Database Systems影響因子(影響力)
書(shū)目名稱Intelligent Information and Database Systems影響因子(影響力)學(xué)科排名
書(shū)目名稱Intelligent Information and Database Systems網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Intelligent Information and Database Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Intelligent Information and Database Systems被引頻次
書(shū)目名稱Intelligent Information and Database Systems被引頻次學(xué)科排名
書(shū)目名稱Intelligent Information and Database Systems年度引用
書(shū)目名稱Intelligent Information and Database Systems年度引用學(xué)科排名
書(shū)目名稱Intelligent Information and Database Systems讀者反饋
書(shū)目名稱Intelligent Information and Database Systems讀者反饋學(xué)科排名
作者: 不公開(kāi) 時(shí)間: 2025-3-21 21:33 作者: IOTA 時(shí)間: 2025-3-22 03:39 作者: Keratin 時(shí)間: 2025-3-22 05:02
Barbara Probierz,Jan Kozak,Anita Hrabiaffamierungen standzuhalten, die sich im wesentlichen darauf beziehen, dass es ein Gesch?ft auf unsicherer Grundlage ist. Einerseits profitiert es von der gesellschaftlich zirkulierenden Unsicherheit und Orientierungslosigkeit in allen Fragen des Lebens. Kaum einer will beratungsfrei das ihm zugewies作者: 整理 時(shí)間: 2025-3-22 11:04 作者: depreciate 時(shí)間: 2025-3-22 13:40 作者: Accord 時(shí)間: 2025-3-22 17:59
Roman Jaksik,Jaros?aw ?mieja als eine Art Zeichentrickfilmfigur gedacht, die sich so benimmt, wie man ihr mit dem Joystick oder mit der Maus sagt. Es gab dann sp?ter Frauenfiguren, die am Anfang des Spiels mit wenig Textilien im Bett lagen und die erst dann aufstehen wollten, wenn man ihnen per Mausklick Tee an das Bett bracht作者: NORM 時(shí)間: 2025-3-22 21:36 作者: 吸氣 時(shí)間: 2025-3-23 03:13 作者: mettlesome 時(shí)間: 2025-3-23 06:42
Li-Hua Li,Radius Tanonelevanten ?konomischen Grundbedingungen vor Augen halten. Zu den ?konomischen Grundtatbest?nden jeder Wirtschafts- und Gesellschaftsordnung geh?rt die Notwendigkeit, maschinelle Produktionsverfahren anwenden zu müssen, um den wirtschaftlichen Wohlstand zu sichern und zu steigern. Einer Ausweitung des作者: 送秋波 時(shí)間: 2025-3-23 12:28 作者: 對(duì)待 時(shí)間: 2025-3-23 15:57
A Comparative Study of?Classification and?Clustering Methods from?Text of?Books books on similar topics is very troublesome for both librarians and readers. This is a difficult problem due to the analysis of large sets of real text data, such as the content of books. For this purpose, we propose to create an appropriate model system, the use of which will allow for automatic a作者: 收養(yǎng) 時(shí)間: 2025-3-23 19:41
A Lightweight and?Efficient GA-Based Model-Agnostic Feature Selection Scheme for?Time Series Forecasmany fields. One of the critical issues in dealing with the time series prediction task is how to choose appropriate input features. This paper proposes a novel approach to select a sub-optimal feature combination automatically. Our proposed method is model-agnostic that can be integrated with any p作者: 保全 時(shí)間: 2025-3-24 01:19 作者: 消極詞匯 時(shí)間: 2025-3-24 03:47 作者: Indurate 時(shí)間: 2025-3-24 10:27 作者: 值得尊敬 時(shí)間: 2025-3-24 13:47 作者: Fsh238 時(shí)間: 2025-3-24 18:26
The Quality of?Clustering Data Containing Outliersoptions and distance measures) and the . algorithm. We assess the quality of clustering using Davies-Bouldin and Dunn cluster validity indices. Our goal is to compare and analyze outlier detection algorithms depending on the applied clustering algorithm. We also wanted to verify whether the quality 作者: condescend 時(shí)間: 2025-3-24 19:55
Aggregated Performance Measures for?Multi-class Classificationassification to use them in hyperparameter estimation for various machine learning methods and similar techniques. The classical approach is to use a binary classification wherein each representative of any incorrect class is considered as a representative of an umbrella class being a union of all i作者: 煩憂 時(shí)間: 2025-3-25 01:59 作者: 原來(lái) 時(shí)間: 2025-3-25 03:45 作者: 變異 時(shí)間: 2025-3-25 10:40 作者: 微生物 時(shí)間: 2025-3-25 13:26 作者: 巧思 時(shí)間: 2025-3-25 17:20 作者: GROVE 時(shí)間: 2025-3-25 23:15
An Empirical Experiment on?Feature Extractions Based for?Speech Emotion Recognitionl assistants in order to give commands. This makes speech emotion recognition to be a serious problem in improving the service and the quality of virtual assistants. However, speech emotion recognition is not a straightforward task as emotion can be expressed through various features. Having a deep 作者: JEER 時(shí)間: 2025-3-26 00:27
Parameter Distribution Ensemble Learning for Sudden Concept Drift Detectioning problems. Model adaptation to changes in data distribution before making new predictions is very necessary. This paper proposes a novel ensemble method called E-ERICS, which combines multiple Bayesian-optimized ERICS models into one model and uses a voting mechanism to determine whether each ins作者: 去才蔑視 時(shí)間: 2025-3-26 04:57 作者: Urea508 時(shí)間: 2025-3-26 11:28
A Novel Neural Network Training Method for?Autonomous Driving Using Semi-Pseudo-Labels and?3D Data Araining data with sufficient quality and quantity is expensive and sometimes impossible due to human and sensor constraints. Therefore, a novel solution is needed for extending current training methods to overcome this limitation and enable accurate 3D object detection. Our solution for the above-me作者: LIMN 時(shí)間: 2025-3-26 15:48
Conference proceedings 2022Minh City, Vietnam in November 2022..The 113 full papers accepted for publication in these proceedings were carefully reviewed and selected from 406 submissions. The papers of the 2 volume-set are organized in the following topical sections: data mining and machine learning methods, advanced data mi作者: 激勵(lì) 時(shí)間: 2025-3-26 16:52
Conference proceedings 2022ging and vision, decision support and control systems, and data modeling and processing for industry 4.0. The accepted and presented papers focus on new trends and challenges facing the intelligent information and database systems community..作者: progestin 時(shí)間: 2025-3-26 23:47
0302-9743 tional imaging and vision, decision support and control systems, and data modeling and processing for industry 4.0. The accepted and presented papers focus on new trends and challenges facing the intelligent information and database systems community..978-3-031-21966-5978-3-031-21967-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: indigenous 時(shí)間: 2025-3-27 01:41
Covariance Controlled Bayesian Rose Treesevel as a function of likelihood. The developed method allows maximising customisation possibilities and comparative analysis between the nature of clusters. It can be applied to the clustering of different types of content, e.g. visual, textual, or in a modern approach to the construction of container databases.作者: Palatial 時(shí)間: 2025-3-27 06:40
Aggregated Performance Measures for?Multi-class Classificationhought of as an analogue of classical ones. The proposed measures better represent the multinomial nature of such algorithms and obtain more valuable information that allows selecting the correct direction while analysing the gradient of the resulting measures.作者: carotid-bruit 時(shí)間: 2025-3-27 09:33 作者: Frisky 時(shí)間: 2025-3-27 16:33 作者: Pastry 時(shí)間: 2025-3-27 18:01 作者: stress-test 時(shí)間: 2025-3-27 23:29 作者: Lumbar-Stenosis 時(shí)間: 2025-3-28 05:02
Graph Neural Networks-Based Multilabel Classification of?Citation Networkhis context, many authors have recently proposed to adapt existing approaches to graphs and networks. In this paper we train three models of Graph Neural Networks on an academic citation network of Computer Science papers, and we explore the advantages of turning the problem into a multilabel classification problem.作者: Small-Intestine 時(shí)間: 2025-3-28 06:53
Parameter Distribution Ensemble Learning for Sudden Concept Drift Detectiontance of a data stream is a concept drift point or not. The experimental results on the synthetic and classic real-world streaming datasets showed that the proposed method is much more precise and more sensitive (shown in F1-score, precision, and recall metrics) than the original ERICS models in detecting concept drift, especially a sudden drift.作者: lethal 時(shí)間: 2025-3-28 11:03 作者: 吞沒(méi) 時(shí)間: 2025-3-28 15:43
A Survey of?Network Features for?Machine Learning Algorithms to?Detect Network Attackse learning based IDS. Features, attacks, machine learning algorithms and their corresponding datasets are identified in the survey. The survey may help researchers in identifying benchmark features correlated to network attacks. At the time of writing this paper there is no such IDS that associates network features to attacks.作者: 食道 時(shí)間: 2025-3-28 21:17
0302-9743 ld Ho Chi Minh City, Vietnam in November 2022..The 113 full papers accepted for publication in these proceedings were carefully reviewed and selected from 406 submissions. The papers of the 2 volume-set are organized in the following topical sections: data mining and machine learning methods, advanc作者: Cumulus 時(shí)間: 2025-3-29 00:41
Machine Learning or?Lexicon Based Sentiment Analysis Techniques on?Social Media Postsd disadvantages. Specifically we look into: 1) variation of VADER, a lexicon based method; 2) a machine learning neural network based method; and 3) a Sentiment Classifier using Word Sense Disambiguation, Maximum Entropy and Naive Bayes Classifiers. The results indicate that there is a significant c作者: Hyperalgesia 時(shí)間: 2025-3-29 03:36
A Comparative Study of?Classification and?Clustering Methods from?Text of?Books data analysis. Then, two different machine learning approaches were used: classification (as supervised learning) and clustering (as unsupervised learning) in order to properly assign books to selected categories. Measures of accuracy, precision and recall were used to evaluate the quality of class作者: 萬(wàn)花筒 時(shí)間: 2025-3-29 07:14 作者: magenta 時(shí)間: 2025-3-29 12:31 作者: defendant 時(shí)間: 2025-3-29 15:39
Prediction of Lung Cancer Survival Based on Multiomic Datation and feature selection techniques, showing their influence on the classification accuracy manifested by the area under ROC curve (AUC)..The results of our study show not only that molecular data can be effectively used to predict 2?year survival in lung adenocarcinoma (AUC?=?0.85), but also that作者: 單挑 時(shí)間: 2025-3-29 21:46
Speeding Up?Recommender Systems Using Association Rulese, decreased the required time for generating the recommendations. On the other hand, while building the FMAR tool, we concentrate on making a balance between prediction time and accuracy of generated recommendations to ensure that the accuracy is not significantly impacted compared to the accuracy 作者: recede 時(shí)間: 2025-3-30 03:34 作者: Predigest 時(shí)間: 2025-3-30 04:37 作者: BARGE 時(shí)間: 2025-3-30 08:34 作者: 產(chǎn)生 時(shí)間: 2025-3-30 14:55
Penugonda Ravikumar,Venus Vikranth Raj,Palla Likhitha,Rage Uday Kiran,Yutaka Watanobe,Sadanori Ito,K
