2019 27th Signal Processing and Communications Applications Conference (SIU)最新文献_第5页

Sensor Fusion of a Camera and 2D LIDAR for Lane Detection 用于车道检测的摄像头与二维激光雷达传感器融合

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806579

Yasin YenIaydin, Klaus Werner Schmidt

引用次数: 5

Item Prediction with RNN Using Different Types of User-Item Interactions 使用不同类型的用户-项目交互的RNN项目预测

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806410

Fulya Çelebi Sarioglu, Y. Yaslan

引用次数: 1

Domain Adaptation on Graphs via Frequency Analysis 基于频率分析的图域自适应

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806414

Mehmet Pilanci, Elif Vural

引用次数: 2

Poverty Level Characterization via Feature Selection and Machine Learning 基于特征选择和机器学习的贫困水平表征

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806548

Jama Hussein Mohamud, Ö. N. Gerek

{"title":"Poverty Level Characterization via Feature Selection and Machine Learning","authors":"Jama Hussein Mohamud, Ö. N. Gerek","doi":"10.1109/SIU.2019.8806548","DOIUrl":"https://doi.org/10.1109/SIU.2019.8806548","url":null,"abstract":"A persistent socio-cultural problem of mankind is “poverty”, which requires accurate characterization in order to construct well designed policies for intervention. Unfortunately, the categorization along the poverty - wealthiness scale is not simply determined by applying surveys. Population is large, subjective opinions are usually biased, and available data are only indirectly related. In this paper, we attempt to identify poverty levels using feature selections from these indirect observations and machine learning techniques. In poverty assessment, similar to many other classification problems, it is crucial to know how any feature contributes to the classification of each class of poverty. We designed an approach that (1) extracts a subset of features that best characterize each poverty class, (2) examines how this subset affect the chosen class and finally (3) employ ensemble models. In this research, we adopt the Proxy Means Test (PMT) for labeling the data that was obtained from the Inter-American Development Bank of Costa Rica. Through this approach we analyze poverty classes within a multidimensional feature space perspective, contrary to the classically used single dimensional perspective defined as “living on a consumption expenditure of less than the predefined income threshold”. The application and usefulness of our proposed framework is tested on the mentioned dataset using 85–15 data folding.","PeriodicalId":326275,"journal":{"name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126619453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Detecting “Clickbait” News on Social Media Using Machine Learning Algorithms 使用机器学习算法检测社交媒体上的“标题党”新闻

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806257

Sura Genç, Elif Sürer

引用次数: 4

Stability and Diversity in Generative Adversarial Networks 生成对抗网络的稳定性和多样性

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806356

Y. Dogan, H. Keles

引用次数: 3

In-Silico Methods to Identify Common MicroRNAs and Pathways of Neuromuscular Diseases 识别神经肌肉疾病常见microrna和通路的计算机方法

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806325

M. Yazici, Evrim Aksu Menges, Yeliz Z. Akkaya Ulum, Burcu Balcihayta, Burcu Bakir-Gungor

{"title":"In-Silico Methods to Identify Common MicroRNAs and Pathways of Neuromuscular Diseases","authors":"M. Yazici, Evrim Aksu Menges, Yeliz Z. Akkaya Ulum, Burcu Balcihayta, Burcu Bakir-Gungor","doi":"10.1109/SIU.2019.8806325","DOIUrl":"https://doi.org/10.1109/SIU.2019.8806325","url":null,"abstract":"Neuromuscular disorders (NMD) are a heterogeneous group of diseases characterized by the loss of function of the peripheral nerves and muscles. However, there are no effective and widespread therapeutic approaches to prevent or delay the progression of these disease types. microRNAs (miRNAs) which cause significant changes in gene expression by binding to target messenger RNAs (mRNAs), are known to have an effect on disease mechanisms. In this study, by integrating different bioinformatics methods, we aim to find miRNAs, target genes and pathways related to a group of neuromuscular diseases. For this purpose, we determined 17 miRNAs that show significant expression changes between patient and healthy groups; predicted target genes of these miRNAs; and identified affected pathways using subnetwork discovery, functional enrichment based algorithms. In our study, we integrated different in-silico approaches that proceed in topdown manner or bottom-up manner. The identified candidate miRNAs, genes and pathways, which could help to explain neuromuscular disease development mechanisms, are now under investigation in wet-lab.","PeriodicalId":326275,"journal":{"name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128947220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CLOUDGEN: Workload Generation for the Evaluation of Cloud Computing Systems CLOUDGEN:用于评估云计算系统的工作负载生成

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806358

Furkan Koltuk, Alper Yazar, E. G. Schmidt

引用次数: 2

Development Of Narrowband 92 MHz Yagi-Uda Antenna For Use In Passive Radar Applications 用于无源雷达的92 MHz窄带Yagi-Uda天线的研制

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806243

Büsra Karanfil, Burak Tüysüz, Dogan Basaran

引用次数: 1

Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks 基于自编码的递增对抗鲁棒性机器学习模型攻击

2019 27th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-04-24 DOI: 10.1109/SIU.2019.8806432

Samed Sivaslioglu, Ferhat Ozgur Catak, Ensar Gül

引用次数: 2