2018 International Conference on Intelligent Systems and Computer Vision (ISCV)最新文献_第5页

An hybrid approach to improve part of speech tagging system 一种改进词性标注系统的混合方法

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354032

S. Farrah, Hanane El Manssouri, E. Ziyati, M. Ouzzif

{"title":"An hybrid approach to improve part of speech tagging system","authors":"S. Farrah, Hanane El Manssouri, E. Ziyati, M. Ouzzif","doi":"10.1109/ISACV.2018.8354032","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354032","url":null,"abstract":"Platforms interacting with data in text format, such as social networks or search engines, face major challenges regarding this flow of texts such as storage, search and information processing. New disciplines have emerged as natural language processing that involve identifying all aspects of language (spoken or written). In this perspective, we focus on the aspect of part-of speech (POS) tagging applied to the Arabic language which consists in marking each word in the text with its good tag. One of the most difficult problems affecting POS tagging is the ambiguity of the text. Ambiguity is the most important problem in the natural language processing. We propose a rule-based hybrid approach with an artificial neural network classifier to determine the appropriate tags of an Arabic text. The first phase consists of extracting all the affixes to identify the nature of the word and its tags according to grammatical rules, the second phase begins by transliterating the Arabic text into text with Roman letters. The transliterated text is then transformed into digital vectors to form the input of the classifier based on the neural networks. The two phases are combined to identify the tag of each word.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129382185","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: 3

A health remote monitoring application based on wireless body area networks 基于无线体域网络的健康远程监测应用

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354042

Elhoussaine Baba, A. Jilbab, A. Hammouch

引用次数: 18

Traffic flow prediction using neural network 基于神经网络的交通流量预测

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354066

Mouna Jiber, Imad Lamouik, Yahyaouy Ali, M. A. Sabri

引用次数: 17

Hand gesture recognition based on convexity approach and background subtraction 基于凸度法和背景减法的手势识别

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354074

Soukaina Chraa Mesbahi, Mohamed Adnane Mahraz, J. Riffi, H. Tairi

引用次数: 10

Deep semi-supervised learning for DTI prediction using large datasets and H2O-spark platform 基于大数据集和H2O-spark平台的深度半监督学习DTI预测

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354081

Meriem Bahi, M. Batouche

{"title":"Deep semi-supervised learning for DTI prediction using large datasets and H2O-spark platform","authors":"Meriem Bahi, M. Batouche","doi":"10.1109/ISACV.2018.8354081","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354081","url":null,"abstract":"Drug repositioning is the process of recycling existing drugs for new indications by identifying the potential drug-target interactions (DTIs). However, in silico predicting new associations between drugs and target proteins is a challenging issue, due to the scarcity of known DTIs and no experimentally true negative drug-target interaction sample. Furthermore, the volume of genomic sequences and chemical structures data is growing in an exponential manner, which consumes relatively too much time and effort. For these reasons, we propose a new computational method based on deep semi-supervised learning called DSSL-DTIs to accurately predict new DTI in post-genome era using large datasets and Spark-H2O platform. Firstly, we use the stacked autoencoders to convert high-dimensional features to low-dimensional representations. Then, we apply another unsupervised stacked autoencoders model for initializing the weights of a supervised deep neural network model. Comparing to other state-of-the-art methods applied all on the same reference dataset of Drug-Bank, it is found that our approach outperforms these techniques with an overall accuracy performance more than 98%. The DSSL-DTIs can be further used to predict large-scale new drug-target interactions. The highly ranked candidate DTIs obtained from DSSL-DTIs are also confirmed in the DrugBank database and in the literature, which demonstrates the effectiveness of our method.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131228788","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: 9

Limits of fluidification for a stochastic Petri nets by timed continuous Petri nets 随机Petri网用时间连续Petri网流化的极限

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354065

N. Benaya, N. El-Akchioui, T. Mourabit

引用次数: 0

Decisional information systems of the public actors in Moroccan Oasis Zones: Case study Draa-Tafilalet region: Towards a descriptive approach and a measurement of qualities and performances 摩洛哥绿洲地区公共行为者的决策信息系统:Draa-Tafilalet地区案例研究:迈向描述性方法和质量和绩效衡量

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354047

K. Hafed, Y. Fakhri, S. Boulaknadel, A. Moumen, H. Jamil, Badraddine Aghoutane

{"title":"Decisional information systems of the public actors in Moroccan Oasis Zones: Case study Draa-Tafilalet region: Towards a descriptive approach and a measurement of qualities and performances","authors":"K. Hafed, Y. Fakhri, S. Boulaknadel, A. Moumen, H. Jamil, Badraddine Aghoutane","doi":"10.1109/ISACV.2018.8354047","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354047","url":null,"abstract":"Business Intelligence is the result of the data analysis applications and technologies with the intention of providing a global view of the activities to an organization managers so as to facilitate their decision-making. When it comes to a collective decision, the contribution of business intelligence systems becomes crucial. In Morocco, and particularly in the Draa-Tafilalet region, each public service follows a strategy and a plan of action in order to contribute to the development of the region, which is one of the most important oasis areas of the country. Thus, given the characteristic of this region, many development projects have been initiated by the local authorities. in most cases, those regional actors are called to work together. But unfortunately in some cases, we find a lack of coordination between them, which negatively impacts the outcome of these projects, and causes a considerable loss of budget resources and a delay in the programs and planning. So, we are going to present a review of business intelligence systems with their attributes and characteristics. Then, in a second step, we will propose an approach to develop a business intelligence system for the actors of the Draa-Tafilalet region to measure their performances and qualities.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132868067","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: 4

A study of lesion skin segmentation, features selection and classification approaches 病灶皮肤分割、特征选择及分类方法的研究

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354069

Y. Filali, A. Ennouni, M. A. Sabri, A. Aarab

引用次数: 22

A new solution to optimize the time shift TV bandwidth 一种优化时移电视带宽的新方案

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354077

El Hassane Khabbiza, R. El Alami, H. Qjidaa

引用次数: 0

Vehicle speed estimation using extracted SURF features from stereo images 从立体图像中提取SURF特征进行车速估计

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI: 10.1109/ISACV.2018.8354040

Abderrahim El Bouziady, R. Thami, M. Ghogho, Omar Bourja, S. El Fkihi

引用次数: 18