Výsledky vyhledávání - "Computing methodologies Machine learning Learning paradigms"

On-the-fly Improving Performance of Deep Code Models via Input Denoising Autor Tian, Zhao, Chen, Junjie, Zhang, Xiangyu

“…Deep learning has been widely adopted to tackle various code-based tasks by building deep code models based on a large amount of code snippets. While these…”
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Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality Autor Liao, Yifan, Xu, Ming, Lin, Yun, Teoh, Xiwen, Xie, Xiaofei, Feng, Ruitao, Liauw, Frank, Zhang, Hongyu, Dong, Jin Song

“…Web applications are crucial infrastructures in the modern society, which have high demand of reliability and security. However, their frontend can be…”
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SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice Autor Ren, Rui, Yang, Jingbang, Yang, Linxiao, Gu, Xinyue, Sun, Liang

“… This paper proposes a novel method that utilizes decision rule sets to deal with highly imbalanced data by optimizing the F1 score subject to cardinality constraints…”
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Towards robust activity recognition for everyday life: Methods and evaluation Autor Reiss, Attila, Stricker, Didier, Hendeby, Gustaf

“… Two important aspects of robustness are investigated: dealing with various (unknown) other activities and subject independency…”
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Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data Autor Fallahzadeh, Ramin, Ghasemzadeh, Hassan

“… In this paper, we propose an uninformed cross-subject transfer learning algorithm that leverages the cross-user similarities by constructing a network-based feature-level representation of the data…”
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Investigating on the Impact of Software Clones on Technical Debt Autor Lerina, Aversano, Nardi, Laura

“… Moreover, changes performed on these files have been analyzed by analyzing commit logs. According to our inspection on four subject systems, the technical debt of files with cloned code is significantly higher than those without cloned code. Moreover, as expected, files with cloned code are more impacted by changes…”
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Using technical debt data in decision making: potential decision approaches Autor Seaman, Carolyn, Guo, Yuepu, Izurieta, Clemente, Cai, Yuanfang, Zazworka, Nico, Shull, Forrest, Vetrò, Antonio

“… be a worthwhile subject for further research…”
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An End-to-End Approach for Extracting and Segmenting High-Variance References from PDF Documents Autor Boukhers, Zeyd, Ambhore, Shriharsh, Staab, Steffen

“… Contrary to conventional references, mentioning the sources of information in some publications, such as those of social science, is not subject to the same…”
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Deep Reinforcement Learning of Abstract Reasoning from Demonstrations Autor Clark-Turner, Madison, Begum, Momotaz

“…Extracting a set of generalizable rules that govern the dynamics of complex, high-level interactions between humans based only on observations is a high-level…”
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Automatic Determination of Text Readability over Textured Backgrounds for Augmented Reality Systems Autor Leykin, Alex, Tuceryan, Mihran

“…This paper describes a pattern recognition approach to determine readability of text labels in augmented reality systems. In many augmented reality…”
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Organizing the technical debt landscape Autor Izurieta, Clemente, Vetrò, Antonio, Zazworka, Nico, Cai, Yuanfang, Seaman, Carolyn, Shull, Forrest

“… and organize research on the subject…”
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Bibliometric impact measures leveraging topic analysis Autor Mann, Gideon S., Mimno, David, McCallum, Andrew

“…Measurements of the impact and history of research literature provide a useful complement to scientific digital library collections. Bibliometric indicators…”
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A Clique Based Web Page Classification Corrective Approach Autor Abdelbadie, Belmouhcine, Mohammed, Benkhalifa

“… Web page classification becomes crucial due to this overwhelming amount of data. Web pages contain many noisy contents that bias textual classifiers and lead them to lose focus on their main subject…”
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Decision support system for fisheries management Autor Truong, Tu H., Rothschild, Brian J., Azadivar, Farhad

“…This paper presents a decision support system that is oriented toward fisheries policy and management decisions. The important current issues involve the…”
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A methodology for embedded classification of heartbeats using random projections Autor Braojos, Rubén, Ansaloni, Giovanni, Atienza, David

“…Smart Wireless Body Sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-powered devices allowing the continuous monitoring and real-time interpretation of a subject's bio-signals…”
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Automatic Classification Methods of Photographs Based on Geographical Attentions of Crowd Autor Kubo, Yusuke, Kubo, Masao, Sato, Hiroshi, Namatame, Akira

“…We propose a digital photographs automatic classification method by its subject that has attracted crowd's attention…”
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Experiences in Co-designing a Packet Classification Algorithm and a Flexible Hardware Platform Autor Vaish, N., Kooburat, T., De Carli, L., Sankaralingam, K., Estan, C.

“…Algorithmic solutions to the packet classification problem in network equipment have long been a subject of study in academia and industry and with increases in network speeds they are becoming even more important…”
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User observation & dataset collection for robot training Autor Pantofaru, C.

“… them. Whether learning by demonstration, by trial and error, or collecting datasets for perception, robots will need to collect vast amounts of data without burdening the subjects…”
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A New Approach to Emotion Assessment Based on Biometric Data Autor Teixeira, Jorge, Vinhas, Vasco, Oliveira, Eugénio, Reis, Luís Paulo

“… of the subject’s predominant emotional state. The developed tool's success rate, validated against self assessment interviews, was approximately 75%. It was also experimentally concluded that female subjects are emotionally more active and easily induced than males…”
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Boosting-Based Distributed and Adaptive Security-Monitoring through Agent Collaboration Autor Jean, Evens, Jiao, Yu, Hurson, Ali R., Potok, Thomas E.

“…The use of mobile agents to support the development of practical applications is limited primarily by the risks to which hosts in the system are subject…”
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