Paweł Jemioło
home.agh.edu.pl
0000-0001-5962-4043
AGH University of Krakow
32 papers found
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Vision Transformer for Parkinson’s Disease Classification using Multilingual Sustained Vowel Recordings
Efficacy and safety of transcranial magnetic stimulation for treating major depressive disorder: An umbrella review and re-analysis of published meta-analyses of randomised controlled trials
Brief overview of selected research directions and applications of process mining in KRaKEn Research Group
AloneKnight – Enabling Affective Interaction within Mobile Video Games
Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions
Can Artificial Intelligence Support Creative Problem-Solving?
Artificial Intelligence for COVID-19 Detection in Medical Imaging—Diagnostic Measures and Wasting—A Systematic Umbrella Review
Psychological Interventions and Bariatric Surgery among People with Clinically Severe Obesity—A Systematic Review with Bayesian Meta-Analysis
Datasets for Automated Affect and Emotion Recognition from Cardiovascular Signals Using Artificial Intelligence— A Systematic Review
A protocol for acquisition of emotion and affect in music – dataset collection during COVID-19 (EAM-DCDC)
Towards a Web-Based Platform Supporting the Recomposition of Business Processes
Selected applications of graph-based knowledge representation
WearApp – data gathering in emotion and affect experiments with wearables
Automated Affect and Emotion Recognition from Cardiovascular Signals - A Systematic Overview Of The Field
Evaluation of Selected Artificial Intelligence Technologies for Innovative Business Intelligence Applications
Business Process Recomposition as a Way to Redesign Workflows Effectively
A Call For Better Methodological Quality Of Reviews On Using Artificial Intelligence For COVID-19 Detection In Medical Imaging — An Umbrella Systematic Review
Blockchain-Based Address Alias System
Using a Semantic-Based Support System for Merging Knowledge from Process Participants
Explaining Predictions of the X-Vector Speaker Age and Gender Classifier
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