AI Approaches Towards Prechtl's Assessment of General Movements: A Systematic Literature Review von Irshad, Muhammad Tausif, Nisar, Muhammad Adeel, Gouverneur, Philip, Rapp, Marion, Grzegorzek, Marcin

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Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation von Huang, Xinyu, Shirahama, Kimiaki, Irshad, Muhammad Tausif, Nisar, Muhammad Adeel, Piet, Artur, Grzegorzek, Marcin

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Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning von Huang, Xinyu, Schmelter, Franziska, Irshad, Muhammad Tausif, Piet, Artur, Nisar, Muhammad Adeel, Sina, Christian, Grzegorzek, Marcin

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A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors von Nisar, Muhammad Adeel, Shirahama, Kimiaki, Irshad, Muhammad Tausif, Huang, Xinyu, Grzegorzek, Marcin

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SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors von Irshad, Muhammad Tausif, Nisar, Muhammad Adeel, Huang, Xinyu, Hartz, Jana, Flak, Olaf, Li, Frédéric, Gouverneur, Philip, Piet, Artur, Oltmanns, Kerstin M, Grzegorzek, Marcin

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Predicting executive functioning from walking features in Parkinson’s disease using machine learning von Piet, Artur, Geritz, Johanna, Garcia, Pascal, Irsfeld, Mona, Li, Frédéric, Huang, Xinyu, Irshad, Muhammad Tausif, Welzel, Julius, Hansen, Clint, Maetzler, Walter, Grzegorzek, Marcin, Bunzeck, Nico

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Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks von Doniec, Rafał, Konior, Justyna, Sieciński, Szymon, Piet, Artur, Irshad, Muhammad Tausif, Piaseczna, Natalia, Hasan, Md Abid, Li, Frédéric, Nisar, Muhammad Adeel, Grzegorzek, Marcin

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The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and Promotion von Peifer, Corinna, Pollak, Anita, Flak, Olaf, Pyszka, Adrian, Nisar, Muhammad Adeel, Irshad, Muhammad Tausif, Grzegorzek, Marcin, Kordyaka, Bastian, Kożusznik, Barbara

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The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques von Doniec, Rafał J., Piaseczna, Natalia, Duraj, Konrad, Sieciński, Szymon, Irshad, Muhammad Tausif, Karpiel, Ilona, Urzeniczok, Mirella, Huang, Xinyu, Piet, Artur, Nisar, Muhammad Adeel, Grzegorzek, Marcin

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Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in Resource-Constrained Environments von Doniec, Rafał, Berepiki, Eva Odima, Piaseczna, Natalia, Sieciński, Szymon, Piet, Artur, Irshad, Muhammad Tausif, Tkacz, Ewaryst, Grzegorzek, Marcin, Glinkowski, Wojciech

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Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data von Irshad, Muhammad Tausif, Li, Frédéric, Nisar, Muhammad Adeel, Huang, Xinyu, Buss, Martje, Kloep, Leonie, Peifer, Corinna, Kozusznik, Barbara, Pollak, Anita, Pyszka, Adrian, Flak, Olaf, Grzegorzek, Marcin

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Comparison of feature learning methods for non-invasive interstitial glucose prediction using wearable sensors in healthy cohorts: a pilot study von Huang, Xinyu, Schmelter, Franziska, Uhlig, Annemarie, Irshad, Muhammad Tausif, Nisar, Muhammad Adeel, Piet, Artur, Jablonski, Lennart, Witt, Oliver, Schröder, Torsten, Sina, Christian, Grzegorzek, Marcin

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