2022 IEEE 16th International Scientific Conference on Informatics (Informatics)最新文献_第2页

Analysing the controversial social media community 分析有争议的社交媒体社区

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083476

Igor Stupavský, V. Vranić

引用次数: 1

Using Autoencoders to Denoise Cross-Session Non-Stationarity in EEG-Based Motor-Imagery Brain-Computer Interfaces 用自编码器去噪基于脑电图的运动-图像脑机接口的非平稳性

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083486

Ophir Almagor, Ofer Avin, R. Rosipal, O. Shriki

{"title":"Using Autoencoders to Denoise Cross-Session Non-Stationarity in EEG-Based Motor-Imagery Brain-Computer Interfaces","authors":"Ophir Almagor, Ofer Avin, R. Rosipal, O. Shriki","doi":"10.1109/Informatics57926.2022.10083486","DOIUrl":"https://doi.org/10.1109/Informatics57926.2022.10083486","url":null,"abstract":"A major problem in brain-computer interfaces (BCIs) relates to the non-stationarity of brain signals. Consequently, the performance of a classification algorithm trained for an individual subject on a certain day deteriorates during the following days. The traditional approach is to recalibrate the algorithm every session, limiting the wide use of BCIs. Here, we use an autoencoder convolutional neural network to identify a low dimensional representation of the EEG signals from the first day (or days) and show that this allows for stable decoding performance on the following days without resorting to recalibration. Furthermore, we demonstrate that the residual signals, namely the difference between the original and reconstructed EEG, can be used to accurately discriminate among different recording sessions. In line with that, the reconstructed EEG cannot be used to discriminate among recording sessions. This implies that the reconstructed EEG reflects an invariant representation of the subject's intent, whereas the residual signals reflect a non-stationary component, which differs from one session to another. The findings are demonstrated through two different datasets.","PeriodicalId":101488,"journal":{"name":"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129050911","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

Disinformation Campaigns and Resilience in Hybrid Threats Conceptual Model 混合威胁中的虚假信息运动和弹性概念模型

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083447

William Steingartner, Darko Možnik, D. Galinec

引用次数: 0

On the Friendliness of Physical vs. Virtual Manipulators in Music Software - from a Perspective of Software Developers 论音乐软件中物理操纵器与虚拟操纵器的友好性——基于软件开发者的视角

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083477

Jacek Wachowicz, Andrzej Karp, Pawel Kossecki

{"title":"On the Friendliness of Physical vs. Virtual Manipulators in Music Software - from a Perspective of Software Developers","authors":"Jacek Wachowicz, Andrzej Karp, Pawel Kossecki","doi":"10.1109/Informatics57926.2022.10083477","DOIUrl":"https://doi.org/10.1109/Informatics57926.2022.10083477","url":null,"abstract":"Modern recordings are based on computer recording and computer editing. Therefore, in fact, a real, complete tool for a modern musician is, in most cases, not only an instrument but an instrument supported by powerful software tools, in which control values may be entered using virtual controllers displayed on the screen or with physical manipulators like switches, sliders or knobs, similar to those used in classical devices. The aim of this research was to find answers to the questions: “Are physical manipulators, in your opinion, better than virtual ones? Why? Does having more manipulators always mean better? Is there any optimal number of them? If so, what?” and a second one, “What methods do you use to limit the number of manipulators and shorten the program handlers?” The study was carried out using the in-depth interview method in a hybrid way, as a part of a broader interview with music software developers about HCI factors and the perceived differences between creating emulators of existing music devices and creating completely new music software, including plugins. The selection of respondents included, on the one hand, one of the most recognizable Polish plug-in companies on the world market - PSP audioware, where interviews were conducted with all owners and members of the group, which, due to their specialization, allowed for a multidisciplinary approach; and on the other hand, internationally known creators working for the D16group, Newfangled Audio and Eventide.","PeriodicalId":101488,"journal":{"name":"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122781513","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

On Relational Language Translation 论关系语言翻译

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083497

A. Dudáš, Daniel Demian, J. Škrinárová

引用次数: 1

EEG-based left-hand/right-hand/rest motor imagery task classification 基于脑电图的左/右/休息运动意象任务分类

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083491

Stan Zakrzewski, Bartlomiej Stasiak, A. Wojciechowski

引用次数: 0

Teen-sexting on Social Network “Instagram” and it's Computational Thinking Consequences 社交网络“Instagram”上的青少年色情短信及其计算思维后果

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083435

Petr Šaloun, M. Kolářová, David Andresic, M. Malčík, Milan Klement

引用次数: 0

Fuzzy decision support system for human-realistic overtaking in railway traffic simulations 铁路交通仿真中人真性超车模糊决策支持系统

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083397

T. Vyčítal

引用次数: 0

Comparing Interpolations Using Standard and Normalized Radial Basis Functions 比较使用标准和标准化径向基函数的插值

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083406

Zuzana Káčereková

引用次数: 0

An opinion mining with federated learning on the Afghan-People survey dataset 基于阿富汗人调查数据集的联合学习意见挖掘

2022 IEEE 16th International Scientific Conference on Informatics (Informatics) Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083422

M. Ahmadzai, Giang Nguyen

{"title":"An opinion mining with federated learning on the Afghan-People survey dataset","authors":"M. Ahmadzai, Giang Nguyen","doi":"10.1109/Informatics57926.2022.10083422","DOIUrl":"https://doi.org/10.1109/Informatics57926.2022.10083422","url":null,"abstract":"Internet and digital devices have caused a flood of information in the fourth industrial revolution era. Health-care, government, banks, military, and the banking sector, have embraced machine learning as a convenient way to recognize patterns in data. For a conventional machine learning model, the information from the data owner must be uploaded in a centralized location for training, which causes data owners to worry about the lack of their private information assurance. On the other hand, a massive amount of computing power is available to train intelligent models. In this way, federated learning becomes more and more popular. It preserves privacy of data owners and allows models to be trained over distributed clients. In this work, the federated learning approach is implemented using a neural network to model several Afghan-People opinion investigations such as the question about country's overall situation or people's security and safety in a distributed computing environment with measurable results. Further, the performance of federated learning using the same dataset is compared with centralized machine learning.","PeriodicalId":101488,"journal":{"name":"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124070585","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