检索结果-内蒙古大学图书馆

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

作者： Mina Mounir Peter Karsmakers Toon van Waterschoot Dpt. of Electrical Engineering KU Leuven Leuven Belgium Dpt. of Computer Science KU Leuven GEEL Belgium

Musical note onset detection is a building component for several MIR related tasks. The ambiguity in the definition of a note onset and the lack of a standard way to annotate onsets, introduce differences in datasets labeling, which in turn makes evaluations of note onset detection algorithms difficult to compare. This paper gives an overview of the parameters influencing the commonly used onset detection evaluation measure, i.e. the F1-score, pointing out a consistently missing parameter which is the overall time shift in annotations. This paper shows how crucial this parameter is in making reported F1-scores comparable among different algorithms and datasets, achieving a more reliable evaluation. As several MIR applications are concerned with the relative location of onsets to each other and not their absolute location, this paper suggests to include the overall time shift as a parameter when evaluating the algorithm performance. Experiments show a strong variability in the reported F1-score and up to 50% increase in the best-case F1-score when varying the overall time shift. Optimizing the time shift turns out to be crucial when training or testing algorithms with datasets that are annotated differently (e.g. manually, automatically, and with different annotators) and especially when using deep learning algorithms.

关键词： Annotations Labeling Signal processing algorithms Music Transient analysis Multiple signal classification Training

来源：评论

学校读者我要写书评

暂无评论

Automated Chinese Language Proficiency Scoring by utilizing Siamese Convolutional Neural Network and fusion based approach

Automated Chinese Language Proficiency Scoring by utilizing ...

引用

International Conference on engineering and Emerging Technologies (ICEET)

作者： Anne Kwong Junaid Hussain Muzamal Patrick Yu Zhang Guimin Lin Dpt. Research and Development Digital Galaxy Technologies Limited Honkkong Guangdong Sheng China Al-Khawarizmi Institute of Computer Science-KICS University of Engineering and Technology Lahore Lahore Pakistan

ISBN: (数字)9781728145815

ISBN: (纸本)9781728145822

The previous approaches have failed to effectually score the language proficiency of a non-native speakers especially in case of non- English languages which are complex and a slight change of pronunciation can alter the nature of the word. In this study, we proposed an automated language scoring system to test the proficiency of Chinese language. We have employed a novel fusion approach of a 38-feature based model and a Siamese convolutional neural network (Siamese CNN) which can accuracy identify the difference between the native speech and the test taker's speech. The results show that out model have achieved comparable performance to the state of the art and solved the pronunciation problems as well. Furthermore, we have provided a fusion based approach and provided extensive amount of experiments which shows that our method is state of the art and can be utilized in real time Chinese language proficiency scoring.

关键词：

来源：评论

学校读者我要写书评

暂无评论

IxaMed at CLEF eHealth 2018 task 1: ICD10 coding with a sequence-to-sequence approach 19

IxaMed at CLEF eHealth 2018 task 1: ICD10 coding with a sequ...

引用

19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018

作者： Atutxa, A. Casillas, A. Ezeiza, N. Fresno, V. Goenaga, I. Gojenola, K. Martínez, R. Oronoz, M. Perez-De-Viñaspre, O. Dpt. Languages and Computer Systems School of Engineering UPV EHU Bilbao Spain Dpt. Electricity and Electronics Fac. of Science and Technology UPV EHU Leioa Spain Dpt. Languages and Computer Systems Faculty of Informatics UPV EHU Donostia-San Sebastian United States Dpt. Languages and Computer Systems School of Computer Engineering UNED Madrid Spain

Hospital systems routinely assign disease codes (ICD10 codes) to medical records. The challenge stands on treating natural and nonstandard language in which doctors express their diagnoses and, additionally, to solve a large-scale classification problem, as there are thousands of possible codes. In this working notes paper, we present our system and the results of the CLEF 2018 eHealth Evaluation Task 1 on Multilingual Information Extraction-ICD10 coding. This benchmark addresses information extraction in written text with focus on several languages, specifically Hungarian, Italian and French. The goal is to automatically assign ICD10 codes to diagnostic terms of death certificates. The problem can be cast in different ways, for example as a multilabel classification task or as sequence-to-sequence prediction. Our proposal follows this last approach, with promising results, well above the average results for the task. It only relies on the material provided by the task organizers, allowing the application of the same system to all datasets.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Automated language scoring system by employing neural network approaches 15

Automated language scoring system by employing neural networ...

引用

15th International Conference on Emerging Technologies, ICET 2019

作者： Kwong, Anne Muzamal, Junaid Hussain Khan, Usman Ghani Digital Galaxy Technologies Limited China Dpt. Research and Development Honkkong Guangdong Sheng China Kics University of Engineering and Technology Lahore Pakistan University of Engineering and Technology Dept. of Computer Science Lahore Pakistan

ISBN: (纸本)9781728154039

Present approaches of automated language scoring lack the ability to investigate the multiple-level and several contexts of sequential features which are helpful to examine the language proficiency for the responses (monologue and dialogue). This paper aimed to identify the different levels of sequential features with respect to various contexts to evaluate the speaker's proficiency of a language. We have employed Neural Network based automated assessment. We have combined 3 attention based Bidirectional Long-Short-Term-Memory to effectively consider the three dimensions of a speech as delivery, grammar and content. The resultant outcomes demonstrated that our methodology have outperformed the traditional ways of language scoring. © 2019 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Hybrid recommender system leveraging stacked convolutional networks

引用

Journal of engineering science and Technology Review 2018年第3期11卷 89-96页

作者： Nelaturi, Naresh Lavanya Devi, G. Dpt of Computer Science and Systems Engineering College of Engineering Andhra University Visakhapatnam Andhra Pradesh530 003 India

Recommendation systems has emerged as an essential component in web-based systems, as their ability to analyze customers' behavior and generate recommendations seeking customers' satisfaction is successfully accomplished. However, the success of these systems depends on amount of customers' personal preference data and content (items') metadata available for harnessing. Therefore, data sparsity poses a major challenge here. To alleviate this problem, data and models from other domains can be leveraged to gain good insight about customers' preferences and content similarities. In specific, this paper proposes the idea of extracting knowledge for transfer learning leveraging pre-trained deep neural networks. Knowledge from pre-trained models is used to efficiently identify similarity and capture customers' preference among the contents. To attain the objective, this paper presented an approach, for generating efficient top-n recommendations using a hybrid recommender model. Performance analysis is performed on the proposed approach and results obtained are promising. Furthermore, extensions for this work are also discussed. © 2018 Eastern Macedonia and Thrace Institute of Technology.

关键词： Recommender systems

来源：评论

学校读者我要写书评

暂无评论

UlsaNA: Universal language semantic analyzer 12

UlsaNA: Universal language semantic analyzer

引用

12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019

作者： Pražák, Ondřej Konopík, Miloslav NTIS Faculty of Applied Sciences University of West Bohemia Technická 8 Plzeň306 14 Czech Republic Dpt. of Computer Science and Engineering Faculty of Applied Sciences University of West Bohemia Technická 8 Plzeň306 14 Czech Republic

ISBN: (纸本)9789544520557

We present a live cross-lingual system capable of producing shallow semantic annotations of natural language sentences for 51 languages at this time. The domain of the input sentences is in principle unconstrained. The system uses single training data (in English) for all the languages. The resulting semantic annotations are therefore consistent across different languages. We use CoNLL Semantic Role Labeling training data and Universal dependencies as the basis for the system. The system is publicly available and supports processing data in batches;therefore, it can be easily used by the community for research tasks. © 2019 Association for Computational Linguistics (ACL). All rights reserved.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Interoperability for embedded systems in JFML software: An Arduino-based implementation

Interoperability for embedded systems in JFML software: An A...

引用

2018 IEEE International Conference on Fuzzy systems, FUZZ 2018

作者： Arcos, Francisco Jesús Soto-Hidalgo, José Manuel Vitiello, Autilia Acampora, Giovanni Alcalá-Fdez, Jesús Dpt. of Computer Science and A.I. University of Granada Granada18071 Spain Dpt. of Electronics and Computer Engineering University of Córdoba Córdoba Spain Department of Computer Science University of Salerno Salerno Italy Dpt. of Physics Ettore Pancini University of Naples Federico II Naples Italy

ISBN: (纸本)9781509060207

Fuzzy Logic systems have been successfully used in a wide range of real-world problems. They can include a priori expert knowledge and represent systems for which it is not possible to obtain a mathematical model. The standard IEEE Std 1855TM-2016 was established to provide the fuzzy community with a unique and well-defined tool allowing a fuzzy logic system design completely independent from the specific hardware/software. Recently, the library Java Fuzzy Markup Language (JFML) offers a complete implementation of the standard, however, the actual version of the JFML does not support the development of fuzzy inference systems on specific types of hardware. The aim of this paper is to develop an interoperability module to design and running FLS for embedded systems in JFML, concretely for Arduino boards. In addition, a communication protocol between JFML and Arduino boards is also defined, removing the limited computing capacity usually offered by embedded systems. A case study with a wall-following fuzzy controller to manage a mobile robotic in two environments is developed in order to illustrate the potential of the new interoperability module. © 2018 IEEE.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Fake News, Disinformation, and Deepfakes: Leveraging Distributed Ledger Technologies and Blockchain to Combat Digital Deception and Counterfeit Reality

arXiv

引用

arXiv 2019年

作者： Fraga-Lamas, Paula Fernández-Caramés, Tiago M. Dpt. of Computer Engineering Centro de investigación CITIC Faculty of Computer Science Universidade da Coruña A Coruña15071 Spain

The rise of ubiquitous deepfakes, misinformation, disinformation and post-truth, often referred to as fake news, raises concerns over the role of Internet and social media in modern democratic societies. Due to its rapid and widespread diffusion, digital deception has not only an individual or societal cost, but it can lead to significant economic losses or to risks to national security. Blockchain and other Distributed Ledger Technologies (DLTs) guarantee the provenance and traceability of data by providing a transparent, immutable and verifiable record of transactions while creating a peer-to-peer secure platform for storing and exchanging information. This overview aims to explore the potential of DLTs to combat digital deception, describing the most relevant applications and identifying their main open challenges. Moreover, some recommendations are enumerated to guide future researchers on issues that will have to be tackled to strengthen the resilience against cyber-threats on today's online media. Copyright © 2019, The Authors. All rights reserved.

关键词： Cybersecurity

来源：评论

学校读者我要写书评

暂无评论

A review of sentiment computation methods with R packages

arXiv

引用

arXiv 2019年

作者： Naldi, Maurizio University of Rome Tor Vergata Dpt. of Civil Engineering and Computer Science Via del Politecnico 1 Rome00133 Italy

Four packages in R are analyzed to carry out sentiment analysis. All packages allow to define custom dictionaries. Just one - SentimentR - properly accounts for the presence of negators. Copyright © 2019, The Aut... 详细信息

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Automatic video colorization using 3d conditional generative adversarial networks

arXiv

引用

arXiv 2019年

作者： Kouzouglidis, Panagiotis Sfikas, Giorgos Nikou, Christophoros Dpt. of Computer Science and Engineering University of Ioannina Ioannina45110 Greece Information Technologies Institute CERTH Thessaloniki57001 Greece

In this work, we present a method for automatic colorization of grayscale videos. The core of the method is a Generative Adversarial Network that is trained and tested on sequences of frames in a sliding window manner. Network convolutional and deconvolutional layers are three-dimensional, with frame height, width and time as the dimensions taken into account. Multiple chrominance estimates per frame are aggregated and combined with available luminance information to recreate a colored sequence. Colorization trials are run succesfully on a dataset of old black-and-white films. The usefulness of our method is also validated with numerical results, computed with a newly proposed metric that measures colorization consistency over a frame sequence. Copyright © 2019, The Authors. All rights reserved.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：