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2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)最新文献

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Datasets meta-feature description for recommending feature selection algorithm 用于推荐特征选择算法的数据集元特征描述
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382962
A. Filchenkov, Arseniy Pendryak
{"title":"Datasets meta-feature description for recommending feature selection algorithm","authors":"A. Filchenkov, Arseniy Pendryak","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382962","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382962","url":null,"abstract":"Meta-learning is an approach for solving the algorithm selection problem, which is how to choose the best algorithm for a certain task. This task corresponds to a dataset in machine learning and data mining. The main challenge in meta-learning is to engineer a meta-feature description for datasets. In the paper we apply meta-learning for feature selection. We found a meta-feature set which showed the best result in predicting proper feature selection algorithms. We also suggested a novel approach to engineer meta-features for data preprocessing algorithms, which is based on estimating the best parametrization of processing algorithms on small subsamples.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115388024","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: 31
Arabic manuscripts identification based on Feature Relation Graph 基于特征关系图的阿拉伯语手稿识别
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382974
O. Redkin, O. Bernikova, D. Shalymov, V. Pavlov
{"title":"Arabic manuscripts identification based on Feature Relation Graph","authors":"O. Redkin, O. Bernikova, D. Shalymov, V. Pavlov","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382974","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382974","url":null,"abstract":"We investigate a new metric based on the Feature Relation Graph (FRG). This metric has proved to be effective for the text independent Persian writer identification. Since Persian script is based on Arabic writing similar principles of analysis may be also applied to the Arabic manuscripts. We have investigated the FRG for Arabic handwritten texts. Pattern based features are extracted from handwritten texts using Gabor and XGabor filters. The extracted features are represented for each author based on the FRG that plays a role of a feature vector in the classification problems. We have also investigated different parameters of the FRG.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131529548","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
Multi-representation approach to text regression of financial risks 金融风险文本回归的多表征方法
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382979
Roman Trusov, Alexey Natekin, Pavel Kalaidin, Sergey Ovcharenko, A. Knoll, Aida Fazylova
{"title":"Multi-representation approach to text regression of financial risks","authors":"Roman Trusov, Alexey Natekin, Pavel Kalaidin, Sergey Ovcharenko, A. Knoll, Aida Fazylova","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382979","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382979","url":null,"abstract":"Different approaches for textual feature extraction have been proposed starting with simple word count features and continuing with deeper representations capturing distributional semantics. In recent publications word embedding methods have been successfully used as a representation basis for a large number of NLP tasks like text classification, part of speech tagging and many others. In this article we explore opportunities of using multiple text representations simultaneously within one regression task in order to exploit conventional bag of words approach with the more semantically rich embeddings. We investigate performance of this multi-representation approach on the financial risk prediction problem. Publicly available 10-K reports filled by US trading companies are used as the basis for predicting next year change in stock price volatility. Our study shows that models based on single representations achieve performance that is comparable to the previously published results on risk prediction and models with multiple representations benefit from complementary information and outperform both baseline and single representation models.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122525866","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: 5
Evaluation of the modern visual SLAM methods 现代视觉SLAM方法的评价
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382963
Arthur Huletski, D. Kartashov, K. Krinkin
{"title":"Evaluation of the modern visual SLAM methods","authors":"Arthur Huletski, D. Kartashov, K. Krinkin","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382963","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382963","url":null,"abstract":"Simultaneous Localization and Mapping (SLAM) is a challenging task in robotics. Researchers work hard on it, so several novel SLAM algorithms as well as enhancements for the known ones are published every year. We have selected recent (2013-mid. 2015) approaches that in theory can be run on mobile robot and evaluated it. This paper gives brief intuitive description of ORB-SLAM, LSD-SLAM, L-SLAM and OpenRatSLAM algorithms, then compares the algorithms theoretically (based on given description) and evaluates them with TUM RGB-D benchmark.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125491690","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: 33
Design and implementation Raspberry Pi-based omni-wheel mobile robot 基于树莓派的全轮移动机器人的设计与实现
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382967
K. Krinkin, E. Stotskaya, Yury Stotskiy
{"title":"Design and implementation Raspberry Pi-based omni-wheel mobile robot","authors":"K. Krinkin, E. Stotskaya, Yury Stotskiy","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382967","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382967","url":null,"abstract":"Nowadays simultaneous localization and mapping (SLAM) algorithms are being tested at least in two phases: software simulation and real hardware platform testing. This paper describes hardware design and control software for small size omni-directional wheels robot implemented for indoor testing SLAM algorithms.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"79 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131612935","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: 13
Recurrent neural network-based language modeling for an automatic Russian speech recognition system 基于递归神经网络的俄语语音自动识别系统语言建模
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382966
I. Kipyatkova, Alexey Karpov
{"title":"Recurrent neural network-based language modeling for an automatic Russian speech recognition system","authors":"I. Kipyatkova, Alexey Karpov","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382966","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382966","url":null,"abstract":"In the paper, we describe a research of recurrent neural network language models for N-best list rescoring for automatic continuous Russian speech recognition. We tried recurrent neural networks with different number of units in the hidden layer. We achieved the relative word error rate reduction of 14% with respect to the baseline 3-gram model.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125164991","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: 10
Applying the P-medians in the design of modern systems-on-chip p值在现代片上系统设计中的应用
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382977
E. Suvorova, Nadezhda Matveeva, L. Kurbanov
{"title":"Applying the P-medians in the design of modern systems-on-chip","authors":"E. Suvorova, Nadezhda Matveeva, L. Kurbanov","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382977","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382977","url":null,"abstract":"In this paper we consider using p-medians searching algorithms in the design of modern systems-on-chip. This mathematical apparatus can be used for decision of some tasks that faced before developer. We consider the types of systems-on-chip, for which the p-median problem is useful. We describe different methods of calculating the P-medians. Also we examine which criteria can be used for searching P-medians. In this paper detailed describe the solving of the p-median problem for homogeneous systems-on-chip.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131414901","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: 1
Communication between emergency medical system equipped with panic buttons and hospital information systems: Use case and interfaces 配备紧急按钮的紧急医疗系统与医院信息系统之间的通信:用例和接口
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382972
I. Paramonov, Andrey Vasilyev, Ivan Timofeev
{"title":"Communication between emergency medical system equipped with panic buttons and hospital information systems: Use case and interfaces","authors":"I. Paramonov, Andrey Vasilyev, Ivan Timofeev","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382972","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382972","url":null,"abstract":"For patients with a risk of out-of-hospital emergency situation quickness of the first aid provision is essential. Emergency medical services equipped with the “panic button” are aimed at reduction of the time of first aid provision. The further improvement of such services can be achieved by their communication with healthcare information systems deployed in hospitals. Such communication can be used to retrieve past medical history of the patient directly during the first aid provision, find an appropriate hospital for the patient's conveyance, automatically transmit the clinical handover information etc. This paper is devoted to identification of typical use case of communication between emergency medical services equipped with the “panic button” and healthcare information systems, and analysis of possible ways of organization of such a communication.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121181643","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: 7
A monolingual approach to detection of text reuse in Russian-English collection 俄语-英语文本重复使用的单语检测方法
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382960
O. Bakhteev, Rita Kuznetsova, A. Romanov, A. Khritankov
{"title":"A monolingual approach to detection of text reuse in Russian-English collection","authors":"O. Bakhteev, Rita Kuznetsova, A. Romanov, A. Khritankov","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382960","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382960","url":null,"abstract":"In this paper we develop a method for cross-lingual (Russian and English) text reuse detection. The method is based on the monolingual approach - translation of texts into one language and reduction to the text similarity problem. We split texts into non-overlapping fragments and compare fragments to each other by means of different metrics - BLEU(1-2), ME-TEOR, cosine similarity between bag-of-words representations of each snippet, and cosine similarity between vectors obtained from doc2vec-trained model. We explore the impact of choice of metric on the quality of text reuse detection. We assess quality of the method on a sample of a hundred scientific documents, originally in Russian, machine translated into English. Preliminary findings demonstrate feasibility of the approach.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122414633","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: 2
Twitter as a transport layer platform Twitter作为传输层平台
2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-09-23 DOI: 10.1109/AINL-ISMW-FRUCT.2015.7382968
D. Namiot
{"title":"Twitter as a transport layer platform","authors":"D. Namiot","doi":"10.1109/AINL-ISMW-FRUCT.2015.7382968","DOIUrl":"https://doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382968","url":null,"abstract":"Internet messengers and social networks have become an integral part of modern digital life. We have in mind not only the interaction between individual users but also a variety of applications that exist in these applications. Typically, applications for social networks use the universal login system and rely on data from social networks. Also, such applications are likely to get more traction when they are inside of the big social network like Facebook. At the same time, less attention is paid to communication capabilities of social networks. In this paper, we target Twitter as a messaging system at the first hand. We describe the way information systems can use Twitter as a transport layer for own services. Our work introduces a programmable service called 411 for Twitter, which supports user-defined and application-specific commands through tweets.","PeriodicalId":122232,"journal":{"name":"2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)","volume":"R-34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126539608","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: 8
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