Search Results - "Computing methodologies Machine learning Machine learning approaches"

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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Safe DNN-type Controller Synthesis for Nonlinear Systems via Meta Reinforcement Learning by Zhao, Hanrui, Zeng, Xia, Qi, Niuniu, Yang, Zhengfeng, Zeng, Zhenbing

“…) controllers for nonlinear systems subject to safety constraints. Our approach incorporates two phases…”
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Operation is the Hardest Teacher: Estimating DNN Accuracy Looking for Mispredictions by Guerriero, Antonio, Pietrantuono, Roberto, Russo, Stefano

“…Deep Neural Networks (DNN) are typically tested for accuracy relying on a set of unlabelled real world data (operational dataset), from which a subset is…”
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AaceGEN: Attention Guided Adversarial Code Example Generation for Deep Code Models by Li, Zhong, Zhang, Chong, Pan, Minxue, Zhang, Tian, Li, Xuandong

“…Adversarial code examples are important to investigate the robustness of deep code models. Existing work on adversarial code example generation has shown…”
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Automatic Extraction of Cause-Effect-Relations from Requirements Artifacts by Frattini, Julian, Junker, Maximilian, Unterkalmsteiner, Michael, Mendez, Daniel

“…) causal sentences convey essential context about the subject of requirements, and (3) extracted and formalized causality relations are usable for a (semi…”
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Convolutional Neural Networks for Biomedical Text Classification: Application in Indexing Biomedical Articles by Rios, Anthony, Kavuluru, Ramakanth

“…) outperforms several traditional approaches in biomedical text classification with the specific use-case of assigning medical subject headings (or MeSH terms…”
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Accurate Body Pose Matching for Individuals with Stroke using Siamese Networks by Gokhman, Ruslan, Sawdayi, Talya, Khan, Rana, Satyanarayana, Ashwin, Vinjamuri, Ramana, Kadiyala, Sai Praveen

“…Stroke is one of the major causes of long-term disability in United States. With more than 800,00 people experiencing stroke every year, it is important that efficient means for recovery are presented to support stroke subjects…”
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GraphConfRec: A Graph Neural Network-Based Conference Recommender System by Iana, Andreea, Paulheim, Heiko

“…In today's academic publishing model, especially in Computer Science, conferences commonly constitute the main platforms for releasing the latest peer-reviewed…”
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Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks by Choudhary, Anirudh, Wu, Hang, Tong, Li, Wang, May D

“…Stain normalization is a crucial pre-processing step for histopathological image processing, and can help improve the accuracy of downstream tasks such as…”
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Reliable In-Memory Neuromorphic Computing Using Spintronics by Munch, Christopher, Bishnoi, Rajendra, Tahoori, Mehdi B.

“…), is developed using magnetic layers that requires new fabrication materials and processes. Due to complexities of fabrication steps and materials, MTJ cells are subject to various failure mechanisms…”
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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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Architecture of a cyberphysical avatar by Han, Song, Mok, Aloysius K., Meng, Jianyong, Wei, Yi-Hung, Huang, Pei-Chi, Leng, Quan, Zhu, Xiuming, Sentis, Luis, Kim, Kwan Suk, Miikkulainen, Risto

“…This paper introduces the concept of a cyberphysical avatar which is defined to be a semi-autonomous robotic system that adjusts to an unstructured environment and performs physical tasks subject…”
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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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Head-Pose Invariant Facial Expression Recognition Using Convolutional Neural Networks by Fasel, Beat

“…, which allow for improved facial expression recognition results with faces subject to in-plane pose variations…”
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"All You Can Eat" Ontology-Building: Feeding Wikipedia to Cyc by Sarjant, Samuel, Legg, Catherine, Robinson, Michael, Medelyan, Olena

“… Evaluation with 22 human subjects shows high precision both for the new concepts’ categorization, and their assignment as individuals or collections…”
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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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