Relations between Electronics, Artificial Intelligence and Information Society through Information Society Rules by Matjaž Gams, Tine Kolenik

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Intelligent Cognitive Assistants for Attitude and Behavior Change Support in Mental Health: State-of-the-Art Technical Review by Tine Kolenik, Matjaž Gams

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Artificial Intelligence and Ambient Intelligence by Matjaz Gams, Martin Gjoreski

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Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep Learning by Ivana Kiprijanovska, Hristijan Gjoreski, Matjaž Gams

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A machine-learning approach to a mobility policy proposal by Miljana Shulajkovska, Maj Smerkol, Erik Dovgan, Matjaž Gams

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A One-Dimensional Non-Intrusive and Privacy-Preserving Identification System for Households by Tomaž Kompara, Janez Perš, David Susič, Matjaž Gams

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Predicting a Fall Based on Gait Anomaly Detection: A Comparative Study of Wrist-Worn Three-Axis and Mobile Phone-Based Accelerometer Sensors by Primož Kocuvan, Aleksander Hrastič, Andrea Kareska, Matjaž Gams

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How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls? by Martin Gjoreski, Hristijan Gjoreski, Mitja Luštrek, Matjaž Gams

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Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques by Monika Simjanoska, Martin Gjoreski, Matjaž Gams, Ana Madevska Bogdanova

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Intelligent assistant carer for active aging by Jani Bizjak, Anton Gradišek, Luka Stepančič, Hristijan Gjoreski, Matjaž Gams

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Machine Learning and End-to-End Deep Learning for the Detection of Chronic Heart Failure From Heart Sounds by Martin Gjoreski, Anton Gradisek, Borut Budna, Matjaz Gams, Gregor Poglajen

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Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint by Matjaž Gams, Žiga Kolar, Zdenko Vuk, Christina Samuelsson, Bernhard Jäger, Erik Dovgan

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Intelligent elderly-care prototype for fall and disease detection by Erik Dovgan, Mitja Luštrek, Bogdan Pogorelc, Anton Gradišek, Helena Bruger, Matjaž Gams

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HousEEC: Day-Ahead Household Electrical Energy Consumption Forecasting Using Deep Learning by Ivana Kiprijanovska, Simon Stankoski, Igor Ilievski, Slobodan Jovanovski, Matjaž Gams, Hristijan Gjoreski

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Datasets for Cognitive Load Inference Using Wearable Sensors and Psychological Traits by Martin Gjoreski, Tine Kolenik, Timotej Knez, Mitja Luštrek, Matjaž Gams, Hristijan Gjoreski, Veljko Pejović

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Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence by Vito Janko, Nina Reščič, Nina Reščič, Aljoša Vodopija, Aljoša Vodopija, David Susič, David Susič, Carlo De Masi, Tea Tušar, Anton Gradišek, Sophie Vandepitte, Delphine De Smedt, Jana Javornik, Matjaž Gams, Matjaž Gams, Mitja Luštrek, Mitja Luštrek

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What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges by Stefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Reščič, Vito Janko, Martin Gjoreski, Matjaž Gams, Mitja Luštrek

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Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training by Gorjan Nadzinski, Branislav Gerazov, Stefan Zlatinov, Tomislav Kartalov, Marija Markovska Dimitrovska, Hristijan Gjoreski, Risto Chavdarov, Zivko Kokolanski, Igor Atanasov, Jelena Horstmann, Uros Sterle, Matjaz Gams

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Holistic health record for Hidradenitis suppurativa patients by Paola Maura Tricarico, Chiara Moltrasio, Anton Gradišek, Angelo V Marzano, Vincent Flacher, Wacym Boufenghour, Esther von Stebut, Matthias Schmuth, Wolfram Jaschke, Matjaž Gams, Michele Boniotto, Sergio Crovella

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