Fadi Al Machot

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Prof. Kyandoghere KYAMAKYAUniversitaet KlagenfurtVerified email at aau.at
Volodymyr ShekhovtsovSenior Researcher, Alpen-Adria-Universität KlagenfurtVerified email at aau.at
Judith MichaelSoftware Engineering, RWTH Aachen University, http://www.se-rwth.de/Verified email at se-rwth.de
Dr. Mohammed R. ELkobaisiKlagenfurt University, Austria 🇦🇹Verified email at edu.aau.at
Guilherme Medeiros MachadoAssistant Professor at ECE-ParisVerified email at ece.fr
Vinícius MaranUniversidade Federal de Santa MariaVerified email at ufsm.br
José Palazzo Moreira de OliveiraProfessor of Computer Science, UFRGS, BrazilVerified email at inf.ufrgs.br
Jean Chamberlain ChedjouInstitute of Smart Systems Technologies, Alpen-Adria Universtät KlagenfurtVerified email at aau.at
Bernhard RinnerProfessor, Alpen-Adria-Universität KlagenfurtVerified email at aau.at
Gabriel Machado LunardiProfessor, UFSM, BrazilVerified email at ufsm.br
Alencar MachadoUniversidade Federal de Santa MariaVerified email at ufsm.br
Sasanka PotluriJena University HospitalVerified email at med.uni-jena.de
Mohib UllahNorwegian University of Science and TechnologyVerified email at ntnu.no
Bernhard DieberDirector of Software Development at DynatraceVerified email at bernharddieber.com
Christophe BobdaProfessor of Electrical and Computer Engineering, University of FloridaVerified email at ece.ufl.edu
Claudio PiciarelliUniversità degli Studi di UdineVerified email at uniud.it
Christian MicheloniProfessor of Computer Science, Department of Mathematics and Computer Science University of UdineVerified email at uniud.it
Carlo TassoFull Professor in Computer ScienceVerified email at uniud.it
Stefan RassFull Professor, LIT Secure and Correct Systems Lab, Johannes Kepler University Linz, AustriaVerified email at jku.at

Fadi Al Machot

Professor (associate) in Machine Learning, Norwegian University of Life Sciences

Verified email at nmbu.no - Homepage

Machine Learning Neural-Symbolic Learning Active and Assisted Living Data Mining Zero/Few-Shot Learning


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A Review on Applications of Activity Recognition Systems with Regard to Performance and Evaluation S Ranasinghe, F Al Machot, H C. Mayr International Journal of Distributed Sensor Networks, 2016	235	2016
A deep-learning model for subject-independent human emotion recognition using electrodermal activity sensors F Al Machot, A Elmachot, M Ali, E Al Machot, K Kyamakya Sensors 19 (7), 1659, 2019	99	2019
EEG-based emotion recognition approach for e-healthcare applications M Ali, AH Mosa, F Al Machot, K Kyamakya 2016 eighth international conference on ubiquitous and future networks …, 2016	89	2016
Non-intrusive car driver's emotion recognition using thermal camera A Kolli, A Fasih, F Al Machot, K Kyamakya Proceedings of the Joint INDS'11 & ISTET'11, 1-5, 2011	76	2011
Emotion recognition involving physiological and speech signals: A comprehensive review M Ali, AH Mosa, FA Machot, K Kyamakya Recent Advances in Nonlinear Dynamics and Synchronization: With Selected …, 2018	70	2018
CNN based high performance computing for real time image processing on GPU S Potluri, A Fasih, LK Vutukuru, F Al Machot, K Kyamakya Proceedings of the Joint INDS'11 & ISTET'11, 1-7, 2011	65	2011
A globally generalized emotion recognition system involving different physiological signals M Ali, F Al Machot, A Haj Mosa, M Jdeed, E Al Machot, K Kyamakya Sensors 18 (6), 1905, 2018	49	2018
A novel real-time emotion detection system from audio streams based on bayesian quadratic discriminate classifier for adas F Al Machot, AH Mosa, K Dabbour, A Fasih, C Schwarzlmüller, M Ali, ... Proceedings of the Joint INDS'11 & ISTET'11, 1-5, 2011	46	2011
Real-time raindrop detection based on cellular neural networks for ADAS F Al Machot, M Ali, A Haj Mosa, C Schwarzlmüller, M Gutmann, ... Journal of Real-Time Image Processing, 13, 2016	44	2016
Activity recognition in sensor data streams for active and assisted living environments F Al Machot, AH Mosa, M Ali, K Kyamakya IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2933 …, 2017	35	2017
Zero-shot human activity recognition using non-visual sensors F Al Machot, M R. Elkobaisi, K Kyamakya Sensors 20 (3), 825, 2020	30	2020
Cnn based subject-independent driver emotion recognition system involving physiological signals for adas M Ali, FA Machot, AH Mosa, K Kyamakya Advanced Microsystems for Automotive Applications 2016: Smart Systems for …, 2016	30	2016
HCM-L: domain-specific modeling for active and assisted living HC Mayr, F Al Machot, J Michael, G Morak, S Ranasinghe, V Shekhovtsov, ... Domain-Specific Conceptual Modeling: Concepts, Methods and Tools, 527-552, 2016	28	2016
IoT-based human action prediction and support GM Lunardi, F Al Machot, VA Shekhovtsov, V Maran, GM Machado, ... Internet of Things 3, 52-68, 2018	26	2018
Human activity recognition based on real life scenarios F Al Machot, S Ranasinghe, J Plattner, N Jnoub 2018 IEEE International Conference on Pervasive Computing and Communications …, 2018	26	2018
Sentimental analysis of COVID-19 related messages in social networks by involving an N-gram stacked autoencoder integrated in an ensemble learning scheme V Kandasamy, P Trojovský, FA Machot, K Kyamakya, N Bacanin, S Askar, ... Sensors 21 (22), 7582, 2021	20	2021
Behavior modeling and reasoning for ambient support: HCM-L modeler FA Machot, HC Mayr, J Michael Modern Advances in Applied Intelligence: 27th International Conference on …, 2014	20	2014
Real time complex event detection for resource-limited multimedia sensor networks F Al Machot, K Kyamakya, B Dieber, B Rinner 2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011	19	2011
A domain-independent classification model for sentiment analysis using neural models N Jnoub, F Al Machot, W Klas Applied Sciences 10 (18), 6221, 2020	18	2020
A hybrid reasoning approach for activity recognition based on answer set programming and dempster–shafer theory F Al Machot, HC Mayr, S Ranasinghe Recent Advances in Nonlinear Dynamics and Synchronization: With Selected …, 2018	18	2018

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