2022 IEEE 4th International Conference on BioInspired Processing (BIP)最新文献

Chlorophyll-a Modeling in the Sierpe River with Sentinel-2 and Google Earth Engine 基于Sentinel-2和Google Earth Engine的Sierpe河叶绿素a模拟

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/BIP56202.2022.10032468

Gabriela Chaves Brenes, Laura Hernandez Alpizar, I. A. Perez

引用次数: 0

miRNA networks regulating gene expression in response to tension or compression forces in the cells of the periodontal ligament 调节基因表达的miRNA网络响应牙周韧带细胞的张力或压缩力

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/BIP56202.2022.10032478

Mariana Bonilla Valverde, Rodrigo Mora Rodríguez

引用次数: 0

BIP 2022 Cover Page BIP 2022封面

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/bip56202.2022.10032470

引用次数: 0

Data Quality Metrics for Unlabelled Datasets 未标记数据集的数据质量度量

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/BIP56202.2022.10032475

Catalina Diaz, Saul Calderon-Ramirez, Luis Diego Mora Aguilar

{"title":"Data Quality Metrics for Unlabelled Datasets","authors":"Catalina Diaz, Saul Calderon-Ramirez, Luis Diego Mora Aguilar","doi":"10.1109/BIP56202.2022.10032475","DOIUrl":"https://doi.org/10.1109/BIP56202.2022.10032475","url":null,"abstract":"Deep learning models usually need extensive amounts of data, and these data have to be labeled, becoming a concern when dealing with real-world applications. It is known that labeling a dataset is a costly task in time, money, and resource-wise. Consequently, Semi-supervised Learning Model (SSLM) approach comes into the picture as it uses labeled and unlabeled datasets to train a model, practice that is useful in improving the overall performance of the models. The unlabeled datasets may include out-of-distribution data or inside-of-distribution data points, which may affect the model’s accuracy and future predictions. This investigation proposes a metric that can be useful to determine how much the unlabeled dataset can or cannot affect the accuracy of the SSLM. It also aims to demonstrate that the data quality metrics is a topic that needs further research, especially, when considering that the future of Deep learning models targets real-world applications such as healthcare. Concepts such as data quality metrics has been normally applied in structured data, however, it can also be applied in unstructured data (datasets used to train deep learning models). The method employed in this research takes the Mahalanobis distance as a base to generate a trend and then a metric. The approach follows what is demonstrated and proposed in [1], but uses the covariance matrices to compare the labeled and unlabeled datasets. The experimentation shows that the Mahalanobis distance generates results that are accordant to the proposed method, achieving a processing time lower by 99%. Using the Pierson’s correlation method the result was a hard negative correlation with the MixMatch results reported in [1].","PeriodicalId":161872,"journal":{"name":"2022 IEEE 4th International Conference on BioInspired Processing (BIP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130937017","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

Gene expression analyses of gingival tissue of patients with periodontitis using public transcriptomic data 利用公开转录组学数据分析牙周炎患者牙龈组织的基因表达

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/BIP56202.2022.10032477

J. Molina-Mora, Rebeca Campos-Sánchez, Milena Castro-Mora, Sandra Silva De La Fuente

{"title":"Gene expression analyses of gingival tissue of patients with periodontitis using public transcriptomic data","authors":"J. Molina-Mora, Rebeca Campos-Sánchez, Milena Castro-Mora, Sandra Silva De La Fuente","doi":"10.1109/BIP56202.2022.10032477","DOIUrl":"https://doi.org/10.1109/BIP56202.2022.10032477","url":null,"abstract":"Periodontal disease (PD) is a multifactorial and chronic condition of infection and inflammation of the gingival tissue. However, many of the biological and molecular mechanisms regarding the development of this disease remain unclear. To contribute to the understanding of PD, we developed a bioinformatic pipeline to identify differentially expressed genes (DEG) in public transcriptomic data from gingival tissue in patients with or without the disease, with subsequent analyses to characterize gene interactions and biological functions. After gene expression analysis, a total of 221 genes showed significant expression differences in gingival tissue from patients with periodontal condition compared to unaffected cases. In the annotation of the biological processes associated with these genes, a diversity of signal transduction and metabolic pathways were evidenced, highlighting those associated with immune response and extracellular matrix metabolism. In the interactome model with all the 221 differentially expressed genes, 17 were recognized as hub or central genes. Biological functions for hub genes resulted in line with the annotations for the whole network. Thus, these molecules are predicted to be useful as possible biomarkers for the periodontal condition. Further analyses are required to validate the possible role of these candidate genes as possible markers for diagnosis, prognosis, or therapeutic targets.","PeriodicalId":161872,"journal":{"name":"2022 IEEE 4th International Conference on BioInspired Processing (BIP)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126778534","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

Modeling of nitrate ion concentration in Costa Rican surface waters 哥斯达黎加地表水硝酸盐离子浓度模拟

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/BIP56202.2022.10032473

Joseph Rojas Zamora, Laura Hernández-Alpízar, I. A. Perez

引用次数: 0

Analysis Software for the Principal Physical Properties in Food Matrices 食品基质主要物理性质分析软件

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/BIP56202.2022.10032471

José-David Martínez-Velasco, Fernando Izquierdo-Manrique, A. Filomena-Ambrosio, C. Garzón‐Castro

{"title":"Analysis Software for the Principal Physical Properties in Food Matrices","authors":"José-David Martínez-Velasco, Fernando Izquierdo-Manrique, A. Filomena-Ambrosio, C. Garzón‐Castro","doi":"10.1109/BIP56202.2022.10032471","DOIUrl":"https://doi.org/10.1109/BIP56202.2022.10032471","url":null,"abstract":"This paper presents a custom software under development, which is part of a device in a patent process capable of simultaneously measuring three variables (odor, texture, and sound) from a food matrix. This device was inspired by the conventional sensory analysis process with trained panelists, emulating some of the senses used for evaluating a product. This solution was proposed to guarantee the repeatability and reproducibility of this type of process, reducing the time incurred in the training of panelists and the number of samples to be prepared for the characterization and standardization of various food matrices. The device was evaluated in an experiment involving hundred (100) panelists. Concurrently, the results were compared with the sensory analysis done. The data obtained showed a high similarity between the information obtained from the panelists and the analysis carried out in the software. It is expected to continue testing with panelists to finish adjusting the prototype and transfer technology to the food industry in the near future.","PeriodicalId":161872,"journal":{"name":"2022 IEEE 4th International Conference on BioInspired Processing (BIP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116243704","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

Towards an Understanding of the Lipophilicity of Non-Coded Amino Acids: Computational Simulations of Proline Analogs 对非编码氨基酸亲脂性的理解:脯氨酸类似物的计算模拟

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/BIP56202.2022.10032480

Paulina Matamoros, Silvana Pinheiro, Antonio Viayna, William J. Zamora

引用次数: 0

In silico Identification of miRNA as possible therapeutic targets for Micro Invasive Bladder Cancer (MIBC) treatment 微侵袭性膀胱癌(MIBC)治疗中miRNA可能靶点的计算机鉴定

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/BIP56202.2022.10032484

Sylvia Leiton-Arrieta, Maripaz Montero-Vargas, R. Mora-Rodríguez

引用次数: 0

Automated bird acoustic detection at Las Arrieras Nature Reserve in Sarapiquí, Costa Rica 在哥斯达黎加Sarapiquí的Las Arrieras自然保护区的自动鸟类声学探测

2022 IEEE 4th International Conference on BioInspired Processing (BIP) Pub Date : 2022-11-15 DOI: 10.1109/BIP56202.2022.10032472

Roberto Vargas-Masís, David Segura-Sequeira, Danny Alfaro-Rojas, Daniel Diaz

{"title":"Automated bird acoustic detection at Las Arrieras Nature Reserve in Sarapiquí, Costa Rica","authors":"Roberto Vargas-Masís, David Segura-Sequeira, Danny Alfaro-Rojas, Daniel Diaz","doi":"10.1109/BIP56202.2022.10032472","DOIUrl":"https://doi.org/10.1109/BIP56202.2022.10032472","url":null,"abstract":"Ecological characteristics favor high biodiversity on the Caribbean slope of Costa Rica, but this piedmont zone is poorly studied. In birds, the use of automated song and call recognition has progressed to support bird studies about ecology and behavior. We used a Pattern Matching method to label the presence of the Cinnamon Woodpecker, Great-Green Macaw, Red-capped Manakin and Chestnut-backed Antbird to create a random forest model and detect the species’ vocalizations to characterize their vocal activity in the reserve. We used Audiomoth recorders. For all acoustic detection models, accuracy, and precision values above 91% were obtained despite the imbalance of positive and negative classes, the value of Unweighted Average Recall was high for each model. Three sites showed the highest number of detections and the number of detections per site varied among species. A preference of use for some sites within the reserve was identified for A. ambiguus and C. mentalis and a more generalist use for C. loricatus and P. exsul. For each species, greater acoustic activity was found in the morning hours with less activity in the afternoon hours for some of the species with a peak of activity between February to May. The acoustic detection patterns found agreed with the literature for each species when analyzing the ecological behaviors inside and outside the breeding season of birds in Costa Rica. This acoustic information will improve conservation decision making for the species involved and other species that develop in these ecosystems.","PeriodicalId":161872,"journal":{"name":"2022 IEEE 4th International Conference on BioInspired Processing (BIP)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123261925","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