Antti Kariluoto
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View article: Identifying health conditions in older adults in textual health records using deep learning-based natural language processing
Identifying health conditions in older adults in textual health records using deep learning-based natural language processing Open
Many clinically significant health conditions in older adults are underreported or only recorded in unstructured health records. These records, however, contain valuable information for patient care and prognosis. This study utilized 10.6 …
View article: Identification of Health Conditions in Unstructured Health Records with Deep Learning-Based Natural Language Processing
Identification of Health Conditions in Unstructured Health Records with Deep Learning-Based Natural Language Processing Open
Importance Many clinically significant health conditions are frequently underreported, underdiagnosed or recorded only in unstructured textual health records, yet they contain critical information for patient assessment, care and prognosis…
View article: Quality of Data in Machine Learning
Quality of Data in Machine Learning Open
A common assumption exists according to which machine learning models improve their performance when they have more data to learn from. In this study, the authors wished to clarify the dilemma by performing an empirical experiment utilizin…
View article: Deep Neural Network Voice Activity Detector for Downsampled Audio Data: An Experiment Report
Deep Neural Network Voice Activity Detector for Downsampled Audio Data: An Experiment Report Open
Sociometric badges are an emerging technology for study how teams interact in physical places. Audio data recorded by sociometric badges is often downsampled to not record discussions of the sociometric badges holders. To gain more informa…
View article: COVID-19 Remote Work : Body Stress, Self-Efficacy, Teamwork, and Perceived Productivity of Knowledge Workers
COVID-19 Remote Work : Body Stress, Self-Efficacy, Teamwork, and Perceived Productivity of Knowledge Workers Open
Due to COVID-19, companies were forced to adopt new work processes, and reduce modern work environments such as collaboration spaces. Pro-fessionals from many fields were forced to work remotely, almost over-night. Little is known about th…
View article: Adversarial Attack’s Impact on Machine Learning Model in Cyber-Physical Systems
Adversarial Attack’s Impact on Machine Learning Model in Cyber-Physical Systems Open
Deficiency of correctly implemented and robust defence leaves Internet of Things devices vulnerable to cyber threats, such as adversarial attacks. A perpetrator can utilize adversarial examples when attacking Machine Learning models used i…
View article: Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks
Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks Open
Gathering and utilizing stored data is gaining popularity and has become a crucial component of smart building infrastructure. The data collected can be stored, for example, into private, public, or hybrid cloud service infrastructure or d…