Search Results - "Computing methodologies Machine learning Learning paradigms Supervised learning"

On-the-fly Improving Performance of Deep Code Models via Input Denoising by 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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Towards robust activity recognition for everyday life: Methods and evaluation by 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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Investigating on the Impact of Software Clones on Technical Debt by 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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An End-to-End Approach for Extracting and Segmenting High-Variance References from PDF Documents by 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 by 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 by 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 by Izurieta, Clemente, Vetrò, Antonio, Zazworka, Nico, Cai, Yuanfang, Seaman, Carolyn, Shull, Forrest

“… and organize research on the subject…”
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Using technical debt data in decision making: potential decision approaches by 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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A Clique Based Web Page Classification Corrective Approach by 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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A methodology for embedded classification of heartbeats using random projections by 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 by 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 by 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 by 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 by 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 by 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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Automated support for classifying software failure reports by Podgurski, Andy, Leon, David, Francis, Patrick, Masri, Wes, Minch, Melinda, Sun, Jiayang, Wang, Bin

“… The results of applying the proposed classification strategy to failures of three large subject programs are reported…”
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