2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)最新文献_第4页

Parallelization of a Denoising Algorithm for Tonal Bioacoustic Signals Using OpenACC Directives 利用OpenACC指令并行化音调生物声信号去噪算法

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464129

J. Castro, E. Meneses

引用次数: 4

A Systems Biology Approach to Investigate Control Targets of Intracellular Calcium Transients Induced by Clostridium Perfringens Phospholipase C 用系统生物学方法研究产气荚膜梭菌磷脂酶C诱导细胞内钙瞬变的控制靶点

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464200

L. Brenes-Guillén, Man-Sai Acón-Chan, R. Mora-Rodríguez, Laura Monturiol-Gross

引用次数: 1

Comparative Analysis of de Bruijn Graph Parallel Genome Assemblers de Bruijn图平行基因组组装器的比较分析

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464194

Carlos Gamboa-Venegas, Esteban Meneses

引用次数: 4

A Multilingual System Based on Semantic Knowledge for Complex Environments 复杂环境下基于语义知识的多语言系统

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464207

K. L. D. Ipiña, N. Barroso, P. Calvo, A. Ezeiza, Carmen Hernández

引用次数: 1

Localization of Facial Landmarks in Depth Images Using Gated Multiple Ridge Descent 基于门控多重脊下降的深度图像人脸特征定位

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464215

J. Krizaj, Ž. Emeršič, S. Dobrišek, P. Peer, Vitomir Štruc

引用次数: 8

Towards Accessories-Aware Ear Recognition 面向配件感知耳朵识别

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464138

Ž. Emeršič, Nil Oleart Playà, Vitomir Štruc, P. Peer

{"title":"Towards Accessories-Aware Ear Recognition","authors":"Ž. Emeršič, Nil Oleart Playà, Vitomir Štruc, P. Peer","doi":"10.1109/IWOBI.2018.8464138","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464138","url":null,"abstract":"Automatic ear recognition is gaining popularity within the research community due to numerous desirable properties, such as high recognition performance, the possibility of capturing ear images at a distance and in a covert manner, etc. Despite this popularity and the corresponding research effort that is being directed towards ear recognition technology, open problems still remain. One of the most important issues stopping ear recognition systems from being widely available are ear occlusions and accessories. Ear accessories not only mask biometric features and by this reduce the overall recognition performance, but also introduce new non-biometric features that can be exploited for spoofing purposes. Ignoring ear accessories during recognition can, therefore, present a security threat to ear recognition and also adversely affect performance. Despite the importance of this topic there has been, to the best of our knowledge, no ear recognition studies that would address these problems. In this work we try to close this gap and study the impact of ear accessories on the recognition performance of several state-of-the-art ear recognition techniques. We consider ear accessories as a tool for spoofing attacks and show that CNN-based recognition approaches are more susceptible to spoofing attacks than traditional descriptor-based approaches. Furthermore, we demonstrate that using inpainting techniques or average coloring can mitigate the problems caused by ear accessories and slightly outperforms (standard) black color to mask ear accessories.","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":"125605953","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

Simple Graph Comparison Inspired on Metabolic Pathway Correlation 基于代谢途径相关性的简单图比较

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464212

Esteban Arias-Méndez, Alonso Montero-Marín, Danny Chaves-Chaves, F. Torres-Rojas

{"title":"Simple Graph Comparison Inspired on Metabolic Pathway Correlation","authors":"Esteban Arias-Méndez, Alonso Montero-Marín, Danny Chaves-Chaves, F. Torres-Rojas","doi":"10.1109/IWOBI.2018.8464212","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464212","url":null,"abstract":"Comparing two graphs is a computationally difficult task [9], [8]. After a work by E. Arias-Mendez and F. Torres-Rojas [7] about the correlation of metabolic pathways with two new proposed approaches to simplify the comparison of its associated graph representation, we extended this work to general graph structures as a simple way to compare them. The approach presented here is an extension of those algorithms to general graphs. The first algorithm proposed looks to transform the comparing graphs into linear sequences, to be analyzed using sequence-alignment tools from bioinformatics and get a numeric score as its value of similitude. The second proposed algorithm consists of the search of equal connected nodes between 2 graphs to eliminate then on both structures, only leaving the differences, as heuristic for comparison. These algorithms were developed as a low-cost process to correlate metabolic pathways showing good results; the suggestion is to use this information as a previous analysis to a deeper, more expensive, comparing tools use. Here we review the extension of this work as an application to a more general graph data structure. These methods have shown to be an effective way to treat the problem as listed in the results section.","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":"133617614","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

Modeling Gene Dosage Compensation Mediated by Sensor Loops in Large-Scale Mathematical Models of Microrna-Transcription Factor Networks 微rna-转录因子网络大尺度数学模型中传感器回路介导的基因剂量补偿建模

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464210

Man-Sai Acón-Chan, Francisco Siles Canales, R. Mora-Rodríguez

{"title":"Modeling Gene Dosage Compensation Mediated by Sensor Loops in Large-Scale Mathematical Models of Microrna-Transcription Factor Networks","authors":"Man-Sai Acón-Chan, Francisco Siles Canales, R. Mora-Rodríguez","doi":"10.1109/IWOBI.2018.8464210","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464210","url":null,"abstract":"In a previous work we developed a biocomputational platform to automatically construct mathematical models of microRNA-transcription factor (TF) regulatory network to study gene dosage compensation. We hypothesized that gene dosage compensation maintains the viability of tumoral cells with high levels of chromosomal alterations by down regulating the expression of a core group of compensated genes. Here we report that those compensated candidates form clusters according to their chromosomal locations and they share the connections of a large-scale network of putative interactions with miRNAs and TFs. Although initial models of feed-forward loops do not show gene dosage compensation, we simplified the model by including only sensor loops of experimentally validated interactions. A sensor loop allows a gene to sense and react to fluctuations of its own expression. The resulting model shows gene dosage compensation for MYC and STAT3 but the genetic regulation of these two genes can be extended to co-regulate the expression of other compensated genes. These results contribute to the identification of a network of gene dosage compensation, which manipulation of specific nodes has the potential to become a novel approach to specifically target aneuploid cancer cells.","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":"130707352","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

A Dreaming Approach to Perceptual Class Delimitation Within the DREAM Architecture 梦境结构中感知类划分的做梦方法

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464201

J. Becerra, R. Duro, J. Monroy, F. Bellas

引用次数: 1

Using Deep Convolutional Networks for Species Identification of Xylotheque Samples 基于深度卷积网络的木质素样本物种识别

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464216

Geovanni Figueroa-Mata, Erick Mata-Montero, Juan Carlos Valverde-Otarola, Dagoberto Arias-Aguilar

引用次数: 10