Search Results - "Computing methodologies Machine learning Machine learning algorithms Feature selection"

Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing by Choi, Jinhang, Hakimi, Zeinab, Shin, Philip W, Sampson, Jack, Narayanan, Vijaykrishnan

“…As the computing power of end-point devices grows, there has been interest in developing distributed deep neural networks specifically for hierarchical…”
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Predicting developers' IDE commands with machine learning by Bulmer, Tyson, Montgomery, Lloyd, Damian, Daniela

“…When a developer is writing code they are usually focused and in a state-of-mind which some refer to as flow. Breaking out of this flow can cause the developer…”
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Reducing Features to Improve Bug Prediction by Shivaji, Shivkumar, Whitehead, E. James, Akella, Ram, Kim, Sunghun

“…Recently, machine learning classifiers have emerged as a way to predict the existence of a bug in a change made to a source code file. The classifier is first…”
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A Large-Scale Study of the Impact of Feature Selection Techniques on Defect Classification Models by Ghotra, Baljinder, McIntosh, Shane, Hassan, Ahmed E.

“…The performance of a defect classification model depends on the features that are used to train it. Feature redundancy, correlation, and irrelevance can hinder…”
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A 127 fps in full HD accelerator based on optimized AKAZE with efficiency and effectiveness for image feature extraction by Guangli Jiang, Leibo Liu, Wenping Zhu, Shouyi Yin, Shaojun Wei

“…Visual feature extraction is a fundamental technique in vision-based application. This paper proposes an effective and efficient VLSI architecture based on…”
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Confused or not Confused?: Disentangling Brain Activity from EEG Data Using Bidirectional LSTM Recurrent Neural Networks by Ni, Zhaoheng, Yuksel, Ahmet Cem, Ni, Xiuyan, Mandel, Michael I, Xie, Lei

“…Brain fog, also known as confusion, is one of the main reasons for low performance in the learning process or any kind of daily task that involves and requires…”
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SHAP-based Prediction of Mother's History of Depression to Understand the Influence on Child Behavior by Bilalpur, Maneesh, Hinduja, Saurabh, Cariola, Laura, Sheeber, Lisa, Allen, Nicholas, Morency, Louis-Philippe, Cohn, Jefrey F

“…Depression strongly impacts parents' behavior. Does parents' depression strongly afect the behavior of their children as well? To investigate this question, we…”
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Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets by Glauner, Patrick, Meira, Jorge Augusto, Dolberg, Lautaro, State, Radu, Bettinger, Franck, Rangoni, Yves

“…Electricity theft occurs around the world in both developed and developing countries and may range up to 40% of the total electricity distributed. More…”
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Exploring Representations for Singular and Multi-Concept Relations for Biomedical Named Entity Normalization by Cuffy, Clint, French, Evan, Fehrmann, Sophia, McInnes, Bridget T

“…Since the rise of the COVID-19 pandemic, peer-reviewed biomedical repositories have experienced a surge in chemical and disease related queries. These queries…”
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In-situ feature extraction of large scale combustion simulations using segmented merge trees by Landge, Aaditya G., Pascucci, Valerio, Gyulassy, Attila, Bennett, Janine C., Kolla, Hemanth, Chen, Jacqueline, Bremer, Peer-Timo

“…The ever increasing amount of data generated by scientific simulations coupled with system I/O constraints are fueling a need for in-situ analysis techniques…”
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A Clustering Technique for Early Detection of Dominant and Recessive Cross-Cutting Concerns by Duan, Chuan, Cleland-Huang, Jane

“…This paper describes an approach for automating the detection of early aspects. Based on hierarchical clustering and an underlying probabilistic algorithm, the…”
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Sentiment-Based Features for Predicting Election Polls: A Case Study on the Brazilian Scenario by Tumitan, Diego, Becker, Karin

“…The success of opinion mining for automatically processing vast amounts of opinionated content available on the Internet has been demonstrated as a less…”
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Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data by Han, Lei, Zhang, Yu, Wan, Xiu-Feng, Zhang, Tong

“…Recent statistical evidence has shown that a regression model by incorporating the interactions among the original covariates/features can significantly…”
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Reducing Post-Silicon Coverage Monitoring Overhead with Emulation and Bayesian Feature Selection by Gallardo, Ricardo Ochoa, Hu, Alan J., Ivanov, André, Mirian, Maryam S.

“…With increasing design complexity, post-silicon validation has become a critical problem. In pre-silicon validation, coverage is the primary metric of…”
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Mapping ECG Signals on Variant Maps by Hou, Zhihui, Zheng, Jeffery

“…This paper presents a mapping scheme of statistical distribution for ECG signals. Mapping mechanism and core component are described. Samples ECG signal are…”
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Evaluating Feature Sets and Classifiers for Sentiment Analysis of Financial News by Njolstad, Pal Christian S., Hoysaeter, Lars S., Wei Wei, Gulla, Jon Atle

“…Work on sentiment analysis has thus far been limited in the news article domain. This has mainly been caused by 1) news articles lacking a clearly defined…”
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Identifying Traits of Leaders in Movement Initiation by Amornbunchornvej, Chainarong, Crofoot, Margaret C., Berger-Wolf, Tanya Y.

“…How do leaders lead? Are individuals with influence always at the front of their group? Do they initiate travel in new directions or are they first to start…”
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Full-Subtopic Retrieval with Keyphrase-Based Search Results Clustering by Bernardini, Andrea, Carpineto, Claudio, D'Amico, Massimiliano

“…We consider the problem of retrieving multiple documents relevant to the single subtopics of a given web query, termed "full-subtopic retrieval". To solve this…”
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PCAH: A PCA-Based Hierarchical Clustering Method for Visual Words Construction by Ying He, Lin Mei, Jian Wang, Zhi-zong Wu, Xue-xia Zhong

“…Most of the existing methods for generating a visual dictionary SIFT based on local characteristics, and adopt the common K-means clustering method to get the…”
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Content-Based Feature Matching for Fragment Reassembly of Ceramic Reconstruction by Lin, Shu-Yu, Ku, Han Jen, Ting, Chao Lung, Chang, Ray I, Wang, Yu Chun, Ho, Jan Ming

“…A large amount of fragments of different ceramic objects are usually found during archaeological excavation. Finding the relation between these fragments is…”
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