2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)最新文献_第2页

2018 IEEE International Work Conference on Bioinspired Intelligence 2018 IEEE仿生智能国际工作会议

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/iwobi.2018.8464189

引用次数: 0

Pre-training Long Short-term Memory Neural Networks for Efficient Regression in Artificial Speech Postfiltering 基于预训练的长短期记忆神经网络在人工语音后滤波中的有效回归

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464204

Marvin Coto-Jiménez

{"title":"Pre-training Long Short-term Memory Neural Networks for Efficient Regression in Artificial Speech Postfiltering","authors":"Marvin Coto-Jiménez","doi":"10.1109/IWOBI.2018.8464204","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464204","url":null,"abstract":"Several attempts to enhance statistical parametric speech synthesis have contemplated deep-learning-based postfil-ters, which learn to perform a mapping of the synthetic speech parameters to the natural ones, reducing the gap between them. In this paper, we introduce a new pre-training approach for neural networks, applied in LSTM-based postfilters for speech synthesis, with the objective of enhancing the quality of the synthesized speech in a more efficient manner. Our approach begins with an auto-regressive training of one LSTM network, whose is used as an initialization for postfilters based on a denoising autoencoder architecture. We show the advantages of this initialization on a set of multi-stream postfilters, which encompass a collection of denoising autoencoders for the set of MFCC and fundamental frequency parameters of the artificial voice. Results show that the initialization succeeds in lowering the training time of the LSTM networks and achieves better results in enhancing the statistical parametric speech in most cases, when compared to the common random-initialized approach of the networks.","PeriodicalId":127078,"journal":{"name":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123491887","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

M-Phase Feature Extraction Algorithm for Phenotype Classification from Cancer Brightfield Microscopy 肿瘤亮场显微镜表型分类的m相特征提取算法

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464208

A. Mora-Zuniga, Steve Quiros-Barrantes, Francisco Siles

引用次数: 1

Evaluation of Fog Reduction Algorithms for Photogrammetric Applications in Agriculture 农业摄影测量中的减雾算法评价

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464186

L. Chavarría-Zamora, Sergio Arriola-Valverde, R. Rímolo-Donadío

引用次数: 0

Automatic Classification of Normal and Abnormal PCG Recording Heart Sound Recording Using Fourier Transform 基于傅立叶变换的心音记录正常与异常PCG自动分类

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464131

Anjali Yadav, M. Dutta, C. Travieso-González, J. B. Alonso

引用次数: 9

Genome Copy Number Feature Selection Based on Chromosomal Regions Alterations and Chemosensitivity Subtypes 基于染色体区域改变和化学敏感性亚型的基因组拷贝数特征选择

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464182

J. Vargas, R. Mora-Rodríguez, Francisco Siles

{"title":"Genome Copy Number Feature Selection Based on Chromosomal Regions Alterations and Chemosensitivity Subtypes","authors":"J. Vargas, R. Mora-Rodríguez, Francisco Siles","doi":"10.1109/IWOBI.2018.8464182","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464182","url":null,"abstract":"Cancer disease causes millions of deaths throughout the world and thousands in Costa Rica, and cancer treatment causes an immense economic burden on the social security system because drugs against the disease are extremely expensive. Through DNA sequencing techniques, the copy number of each gene could be found in order to describe how many times a gene is repeated within chromosomes. This type of data is of great importance since the cancer manifests a phenomenon called aneuploidy that consists of alterations in the number of chromosomes copies. Theories about the importance of aneuploidy in cancer supposed this phenomenon is a evolutionary engine that allows the disease to grow and resist changes produced by the organism and the treatments applied to these tissues. Studies have collected data on the number of copies in well-known databases such as CCLE and TCGA, which can be used to analyze the relationship between alterations in DNA and resistance to chemotherapies. In this study as a contribution, it was proposed to use statistical pattern recognition methods in order to identify chromosomal regions of DNA related to cancer chemosensitivity subtypes (resistant and sensitive subgroups) and then use these regions for CCLE cell lines labeling and TCGA samples classification.","PeriodicalId":127078,"journal":{"name":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116463746","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

Parallel Implementation in a GPU of the Calculation of Disparity Maps for Computer Vision 计算机视觉视差图计算的GPU并行实现

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464217

Juan S. Ríos-Ramos, O. A. Nava, Hilda Maria Chable Martinez, Eduardo Rodríguez-Martínez

引用次数: 1

Preliminary Design Methodology and Prototype of a Passive Magnetic Suspension System for a Blood Axial Flow Pump 血轴流泵被动磁悬浮系统的初步设计方法及样机

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464185

J. D. Zamora-Bolanos, M. Vílchez-Monge, Gabriela Ortiz-León, J. L. Crespo-Mariño

引用次数: 1

Deep Multi-class Eye Segmentation for Ocular Biometrics 眼部生物识别的深度多类眼睛分割

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464133

Peter Rot, Ž. Emeršič, V. Štruc, P. Peer

引用次数: 52

Cellular-Level Characterization of Dengue and Zika Virus Infection Using Multiagent Simulation 使用多agent模拟登革热和寨卡病毒感染的细胞水平表征

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464219

A. Alvarado, Ricardo Corrales, Maria José Soares Leal, A. Ossa, R. Mora, Manuel Arroyo, Andrea Gomez, Alan Calderon, Jorge L. Arias-Arias

{"title":"Cellular-Level Characterization of Dengue and Zika Virus Infection Using Multiagent Simulation","authors":"A. Alvarado, Ricardo Corrales, Maria José Soares Leal, A. Ossa, R. Mora, Manuel Arroyo, Andrea Gomez, Alan Calderon, Jorge L. Arias-Arias","doi":"10.1109/IWOBI.2018.8464219","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464219","url":null,"abstract":"In this paper we present a computational model aimed at characterizing the Zika viral infection at a cellular level based on measurements done on viral Dulbecco plaques over time, and describe our current state of progress in the modeling task. So far we have developed an agent-based simulation model of the dispersion of the virus on the cells conforming the viral plaque. The growth rate of the viral plaques and the number of cells counted on each plaque were used to characterize the viral infection in terms of parameters related to the fate of infected cells, such as the probability of a cell infecting its neighboring cells and the probability of an infected cell of dying at any given moment. The model can be used to predict viral plaque growth patterns similar to those observed in the laboratory. Our current efforts focus on optimizing the model parameters to fit the experimental data. Further development of the model includes the description of viral infection kinetics of specific viral strains. Our model has been developed using the agent-based modeling language Netlogo [1].","PeriodicalId":127078,"journal":{"name":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127352581","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