標(biāo)題: Titlebook: Machine Learning and Principles and Practice of Knowledge Discovery in Databases; International Worksh Michael Kamp,Irena Koprinska,Guilher [打印本頁(yè)] 作者: 使無(wú)罪 時(shí)間: 2025-3-21 18:11
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書目名稱Machine Learning and Principles and Practice of Knowledge Discovery in Databases讀者反饋學(xué)科排名
作者: Cabg318 時(shí)間: 2025-3-22 00:09
978-3-030-93732-4Springer Nature Switzerland AG 2021作者: 取消 時(shí)間: 2025-3-22 02:39
Machine Learning and Principles and Practice of Knowledge Discovery in Databases978-3-030-93733-1Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: BLANC 時(shí)間: 2025-3-22 07:11
A Reasoning Approach to Financial Data Exchange with Statistical ConfidentialityMotivated by our experience with the Bank of Italy, in this work we present Vada-SA, a reasoning framework for financial data exchange with statistical confidentiality. By reasoning on the interplay of the features that may lead to identity disclosure, the framework is able to guarantee explainable, declarative, and context-aware confidentiality.作者: 錢財(cái) 時(shí)間: 2025-3-22 10:28 作者: 敲竹杠 時(shí)間: 2025-3-22 13:35 作者: Immunoglobulin 時(shí)間: 2025-3-22 17:42
On Neural Forecasting and?News Emotions: The Case of?the?Spanish Stock Marketloyed to produce point and density forecasts. After providing an overview of the methodology under current development, some preliminary findings are also given, showing an improvement in the IBEX-35 index fitting when the emotional variables are included in the model, and an overall validity of the employed approach.作者: HAIL 時(shí)間: 2025-3-23 00:09 作者: Glower 時(shí)間: 2025-3-23 03:36
Linguistic Analysis of?Stack Overflow Data: Native English vs Non-native English Speakerss related to software development. We analyze the communications related to software collaboration using linguistic features. We mine data from online question-answer forum, . and evaluate machine learning approaches to classify contributors as native English speakers . non-native English speakers.作者: Mri485 時(shí)間: 2025-3-23 08:14
Financial Forecasting with?Word Embeddings Extracted from?News: A Preliminary Analysisle forecasting the US S&P500 index by means of DeepAR, an advanced neural forecasting method based on auto-regressive Recurrent Neural Networks operating in a probabilistic setting. Although this is currently on-going work, the obtained preliminary results look promising, suggesting an overall validity of the employed methodology.作者: 盤旋 時(shí)間: 2025-3-23 13:38
Dealing with?Imbalanced Data in?Multi-class Network Intrusion Detection Systems Using XGBoostrelevance may change due to the creation of artificial rare samples. We perform this study using XGBoost for the network traffic classification. The experiments are performed with two benchmark multi-class network intrusion detection problems.作者: 大喘氣 時(shí)間: 2025-3-23 15:01
Metamorphic Malware Behavior Analysis Using Sequential Pattern Miningver, sequential rules between API calls patterns as well as maximal and closed frequent API calls are discovered. Obtained preliminary results suggest that discovered frequent patterns of API calls and sequential rules between them can be used in the development of malware detection and classification techniques.作者: 粗語(yǔ) 時(shí)間: 2025-3-23 19:06 作者: Myocarditis 時(shí)間: 2025-3-23 22:45
ives rated their satisfaction as adequate. The UEQ data shows that the app scores below average in the Attractiveness and Efficiency categories, while its Perspicuity score is poor. The study concludes by discussing these findings’ implications, suggestions, and potential limitations.作者: Accolade 時(shí)間: 2025-3-24 03:14 作者: 證實(shí) 時(shí)間: 2025-3-24 08:46
Xi Chen,Bo Kang,Jefrey Lijffijt,Tijl De Biesearch. It is important to recall that this scorecard has been developed during a collaborative research project by CEMEX Research Group AG (Switzerland) and Cranfield University (UK). During such project, a survey was developed to carry out eleven face-to-face interviews in a sample of ten companie作者: concubine 時(shí)間: 2025-3-24 11:38 作者: 譏笑 時(shí)間: 2025-3-24 16:11 作者: 感情 時(shí)間: 2025-3-24 20:01
t from the challenges and the diversity found in collaborative ecosystems. In terms of research, in addition to the trend identified in previous years toward a sounder consolidation of the theoretical foundation in this discipline, there is now a direction of developments more focused on modeling an作者: 細(xì)菌等 時(shí)間: 2025-3-25 02:36
Md. Mostafizer Rahman,Yutaka Watanobe,Rage Uday Kiran,Raihan Kabirsearch. It is important to recall that this scorecard has been developed during a collaborative research project by CEMEX Research Group AG (Switzerland) and Cranfield University (UK). During such project, a survey was developed to carry out eleven face-to-face interviews in a sample of ten companie作者: 有角 時(shí)間: 2025-3-25 04:42 作者: 使更活躍 時(shí)間: 2025-3-25 08:10
M. Saqib Nawaz,Philippe Fournier-Viger,M. Zohaib Nawaz,Guoting Chen,Youxi Wu作者: 織物 時(shí)間: 2025-3-25 12:19 作者: 偉大 時(shí)間: 2025-3-25 17:09
Hossein Hajipour,Apratim Bhattacharyya,Cristian-Alexandru Staicu,Mario Fritz作者: 音的強(qiáng)弱 時(shí)間: 2025-3-25 22:15
Philippe Fournier-Viger,M. Saqib Nawaz,Wei Song,Wensheng Gan作者: 多產(chǎn)魚 時(shí)間: 2025-3-26 00:34
Sergio Consoli,Matteo Negri,Amirhossein Tebbifakhr,Elisa Tosetti,Marco Turchi作者: 龍卷風(fēng) 時(shí)間: 2025-3-26 05:44 作者: 使害怕 時(shí)間: 2025-3-26 10:22 作者: CRACK 時(shí)間: 2025-3-26 14:26
Machine Learning and Principles and Practice of Knowledge Discovery in DatabasesInternational Worksh作者: 傳染 時(shí)間: 2025-3-26 19:32
Adversarial Robustness of?Probabilistic Network Embedding for?Link Predictiondiction downstream task, on the other hand, has been explored much less..This paper contributes to filling this gap, by studying adversarial robustness of Conditional Network Embedding (CNE), a state-of-the-art probabilistic network embedding model, for link prediction. More specifically, given CNE 作者: 支形吊燈 時(shí)間: 2025-3-26 23:43
Practical Black Box Model Inversion Attacks Against Neural Netsl. Then we perform inversion on the local model within our control. Through this combination, we introduce the first model inversion attack that can be performed in a true black box setting; i.e. without knowledge of the target model’s architecture, and by only using outputted class labels. This is 作者: 神經(jīng) 時(shí)間: 2025-3-27 04:38
NBcoded: Network Attack Classifiers Based on?Encoder and?Naive Bayes Model for?Resource Limited Devitiming consuming obtained by the Naive Bayes classifier. This work compares three different NBcoded implementations based on three different Naive Bayes likelihood distribution assumptions (Gaussian, Complement and Bernoulli). Then, the best NBcoded is compared with state of the art classifiers like作者: thalamus 時(shí)間: 2025-3-27 07:21 作者: 偏見 時(shí)間: 2025-3-27 10:30 作者: 構(gòu)想 時(shí)間: 2025-3-27 15:07 作者: Coterminous 時(shí)間: 2025-3-27 20:48 作者: DRILL 時(shí)間: 2025-3-27 23:15 作者: heirloom 時(shí)間: 2025-3-28 03:01
Adaptive Supervised Learning for?Financial Markets Volatility Targeting Modelshes are hard to distinguish as each model results in similar performance without a clear dominant one. We therefore present an innovative approach with an additional supervised learning step to predict the best model(s), based on historical performance ordering of RL models. Our contribution shows t作者: 啟發(fā) 時(shí)間: 2025-3-28 09:42 作者: 焦慮 時(shí)間: 2025-3-28 14:16
Conference proceedings 2021.Workshop on Bias and Fairness in AI (BIAS 2021).Workshop on Workshop on Active Inference (IWAI 2021).Workshop on Machine Learning for Cybersecurity (MLCS 2021).Workshop on Machine Learning in Software Engineering (MLiSE 2021).Workshop on MIning Data for financial applications (MIDAS 2021).Sixth Wor作者: 開花期女 時(shí)間: 2025-3-28 16:18 作者: 牲畜欄 時(shí)間: 2025-3-28 21:10 作者: CHOKE 時(shí)間: 2025-3-29 02:39
Practical Black Box Model Inversion Attacks Against Neural Netsicular type of adversarial machine learning attack where an adversary attempts to reconstruct the target model’s private training data. Specifically, given black box access to a target classifier, the attacker aims to recreate a particular class sample with just the ability to query the model. Tradi作者: 蠟燭 時(shí)間: 2025-3-29 05:40
NBcoded: Network Attack Classifiers Based on?Encoder and?Naive Bayes Model for?Resource Limited Devich in a system, application, or network, can cause huge damage for the companies. However, when this attack detection encounters the Artificial Intelligence paradigm, it can be addressed using high-quality classifiers which often need high resource demands in terms of computation or memory usage. Th作者: rectocele 時(shí)間: 2025-3-29 09:02 作者: 去世 時(shí)間: 2025-3-29 14:14
Metamorphic Malware Behavior Analysis Using Sequential Pattern Mining properly reflect the actions of portable executable (PE) files. In this paper, we provide an approach based on sequential pattern mining (SPM) for the analysis of malware behavior during executions. A dataset that contains sequences of API calls made by different malware on Windows OS is first abst作者: 可忽略 時(shí)間: 2025-3-29 17:24
Applying Machine Learning to Risk Assessment in Software Projectse followed to increase the chances of project success. The popularity of research regarding the application of risk management in software projects has been consistently growing in recent years, especially with the application of machine learning techniques to help identify risk levels of risk facto作者: Graphite 時(shí)間: 2025-3-29 23:38
SampleFix: Learning to?Generate Functionally Diverse Fixesrectness of software in general. Recent advances in machine learning, deep learning, and NLP have rekindled the hope to eventually fully automate the process of repairing programs. However, previous approaches that aim to predict a single fix are prone to fail due to uncertainty about the true inten作者: 溫室 時(shí)間: 2025-3-30 01:24
Linguistic Analysis of?Stack Overflow Data: Native English vs Non-native English Speakersspeakers can adapt to the rigors of software engineering projects because of their familiarity with the language in code development and communications related to software development. We analyze the communications related to software collaboration using linguistic features. We mine data from online作者: 膽汁 時(shí)間: 2025-3-30 05:56 作者: PUT 時(shí)間: 2025-3-30 09:32
Machine Learning for?Intelligent Industrial Designing these techniques to build intelligent software for industrial design. Industrial design, sometimes called product design or new product development, is the process of conceiving products to be mass-produced in factories. It consists of several steps such as: analyzing potential customers wants a作者: 嫌惡 時(shí)間: 2025-3-30 14:32 作者: 失眠癥 時(shí)間: 2025-3-30 18:12
On Neural Forecasting and?News Emotions: The Case of?the?Spanish Stock Marketconomic and financial news from Spanish journals. To this end, we exploit a dataset of over 14 million articles published in Spanish newspapers over the period from 1st of July 1996 until 31st of December 2019. We examine the role of these news-based emotions indicators in forecasting the Spanish IB作者: evasive 時(shí)間: 2025-3-30 22:48 作者: 自作多情 時(shí)間: 2025-3-31 03:41 作者: 龍卷風(fēng) 時(shí)間: 2025-3-31 08:16
e existence of digital archives, openness levels, organization and presentation of information, and availability of English information. The authors annotated 86 library websites and found that digital archives at Japanese university libraries are relatively extensive in quantity, yet they tend to b作者: BILE 時(shí)間: 2025-3-31 12:49 作者: A精確的 時(shí)間: 2025-3-31 14:06 作者: 歸功于 時(shí)間: 2025-3-31 19:42
