Università della Svizzera italiana (USI)
Faculty of Informatics (D2.03)
Via G. Buffi 13
6900 Lugano, Switzerland
phone:
email: martin.gjoreski@usi.ch
About me
Education
PhD in Information and Communication Technologies (2016-20)
Jožef Stefan International Postgraduate School, Ljubljana, Slovenia
PhD thesis title: “A fusion of classical and deep machine learning for mobile health and behavior monitoring with wearable sensors” link
M.Sc. in Information and Communication Technologies (2014-16)
Jožef Stefan International Postgraduate School, Ljubljana, Slovenia
M.Sc. thesis title: “Continuous stress monitoring using wrist device and smartphone” link
B.Sc. in Computer Science and Engineering (2010-14)
Faculty of Computer Science and Engineering, Ss. Cyril and Methodius, Skopje, Macedonia
B.Sc. thesis title: “Emotion Classification by Using Features Extracted from Speech” link
Publications
2023
(2023) A Federated Unsupervised Personalisation for Cognitive
Workload Estimation, Proceedings of ACM Conference (MUM Conference'23), Lugano: MDPI AG, doi:10.1145/3626705.3631796 pdf
(2023) Federated Learning for Privacy-aware Cognitive Workload Estimation, Proceedings of ACM Conference (MUM Conference'23) 1, doi:10.1145/3626705.3627783 pdf
(2023) Facial Expression Recognition using Facial Mask with EMG Sensors, In Workshop on Virtual Reality for Health and Wellbeing, 21st International Conference on Mobile and Ubiquitous Multimedia. 2023., pdf pdf
(2023) Recognizing Activities of Daily Living using Multi-sensor Smart Glasses, 2023 46th MIPRO ICT and Electronics Convention (MIPRO), p. 397-402, IEEE, doi:10.23919/MIPRO57284.2023.10159701 pdf
(2023) Smart Glasses for Gait Analysis of Parkinson’s Disease Patients, 2023 46th MIPRO ICT and Electronics Convention (MIPRO), p. 385-390, IEEE, doi:10.23919/MIPRO57284.2023.10159926 pdf
(2023) Optomyography-based sensing of facial expression derived arousal and valence in adults with depression, Frontiers in Psychiatry 14, doi:10.3389/fpsyt.2023.1232433 pdf
(2023) Towards smart glasses for facial expression recognition using OMG and machine learning, Scientific Reports 13(1), p. 16043, url, doi:10.1038/s41598-023-43135-5
(2023) Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition, Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, p. 540-545, New York, NY, USA: ACM, url, doi:10.1145/3594739.3610752
(2023) Privacy-aware Human Activity Recognition with Smart Glasses for Digital Therapeutics, Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, p. 592-596, New York, NY, USA: ACM, url, doi:10.1145/3594739.3611323
(2023) Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition, Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, p. 540-545, New York, NY, USA: ACM, url, doi:10.1145/3594739.3610752
(2023) Affect and Learning in the LAUREATE Dataset, Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, p. 168-172, New York, NY, USA: Association for Computing Machinery, doi:10.1145/3544793.3563401
(2023) Introduction of the LAUREATE Dataset: The Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory Research, Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, p. 67-69, New York, NY, USA: Association for Computing Machinery, doi:10.1145/3544793.3560340
(2023) Exploring LAUREATE - the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory Research, Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, p. 494-499, New York, NY, USA: Association for Computing Machinery, doi:10.1145/3544793.3563426
(2023) Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling, Sensors 23(10), p. 4803, doi:10.3390/s23104803
(2023) GANs for Privacy-Aware Mobility Modeling, IEEE Access 11, p. 29250-29262, doi:10.1109/ACCESS.2023.3260981
2022
(2022) Multi-task Learning for Stress Recognition, Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing, p. 202-206, New York, NY, USA: ACM, doi:10.1145/3544793.3563404 pdf
(2022) OCOsense Glasses for Facial Expressions Recognition and Contextual Affective Computing in Real World and Augmented Reality, Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing, p. 81-84, New York, NY, USA: ACM, doi:10.1145/3544793.3560325 pdf
(2022) OCOsense Glasses for Facial Expressions Recognition and Contextual Affective Computing in Real World and Augmented Reality, Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing, p. 81-84, New York, NY, USA: ACM, doi:10.1145/3544793.3560325 pdf
(2022) Multi-task Learning for Stress Recognition, Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing, p. 202-206, New York, NY, USA: ACM, doi:10.1145/3544793.3563404 pdf
(2022) Handling Missing Data For Sleep Monitoring Systems, 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), p. 1-8, IEEE, url, doi:10.1109/ACII55700.2022.9953832 pdf
(2022) Facial EMG sensing for monitoring affect using a wearable device, Scientific Reports 12(1), Nature Research, doi:10.1038/s41598-022-21456-1 pdf
(2022) Federated Learning for Privacy-Aware Human Mobility Modeling, Frontiers in Artificial Intelligence 5, Frontiers Media S.A., doi:10.3389/frai.2022.867046 pdf
(2022) What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges†, Sensors 22(10), MDPI, doi:10.3390/s22103613 pdf
(2022) Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning, Sensors 22(6), MDPI, doi:10.3390/s22062079 pdf
(2022) BayCon: Model-agnostic Bayesian Counterfactual Generator, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, url pdf
2021
(2021) Detecting Verbal and Non-Verbal Gestures Using Earables, Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, p. 165-170, New York, NY, USA: ACM, url, doi:10.1145/3460418.3479322 pdf
(2021) Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19, International Journal of Environmental Research and Public Health 18(13), p. 6750, url, doi:10.3390/ijerph18136750 pdf
(2021) Learning comprehensible and accurate hybrid trees, Expert Systems with Applications 164(1), p. 113980, PERGAMON-ELSEVIER SCIENCE LTD THE BOULEVARD, LANGFORD LANE, KIDLINGTON~…, url, doi:10.1016/j.eswa.2020.113980 pdf
(2021) Head-AR: Human Activity Recognition with Head-Mounted IMU Using Weighted Ensemble Learning, Activity and Behavior Computing, p. 153-167, Springer, Singapore, url pdf
(2021) Identification of Cooking Preparation Using Motion Capture Data: A Submission to the Cooking Activity Recognition Challenge, Smart Innovation, Systems and Technologies 199, p. 103-113, Springer, Singapore, url, doi:10.1007/978-981-15-8269-1_9
2020
(2020) Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data, Sensors 20(22), p. 6535, Multidisciplinary Digital Publishing Institute, url, doi:10.3390/s20226535 pdf
(2020) Wearable Sensors Data-Fusion and Machine-Learning Method for Fall Detection and Activity Recognition, Challenges and Trends in Multimodal Fall Detection for Healthcare 273, p. 81-96, Springer, Cham, url, doi:10.1007/978-3-030-38748-8_4 pdf
(2020) Machine Learning and End-to-End Deep Learning for the Detection of Chronic Heart Failure From Heart Sounds, IEEE Access 8, p. 20313-20324, IEEE, url, doi:10.1109/ACCESS.2020.2968900 pdf
(2020) Designing an intelligent cognitive assistant as persuasive technology for stress, anxiety and depression relief, CEUR Workshop Proceedings 2629, pdf pdf
(2020) Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning, Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, p. 323-328, New York, NY, USA: ACM, url, doi:10.1145/3410530.3414848
(2020) Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors, Information Fusion 62, p. 47-62, Elsevier, url, doi:10.1016/j.inffus.2020.04.004 pdf
(2020) Toward Cognitive Load Inference for Attention Management in Ubiquitous Systems, IEEE Pervasive Computing 19(2), p. 35-45, IEEE, url, doi:10.1109/MPRV.2020.2968909
(2020) Datasets for Cognitive Load Inference Using Wearable Sensors and Psychological Traits, Applied Sciences 10(11), p. 3843, Multidisciplinary Digital Publishing Institute, url, doi:10.3390/app10113843 pdf
(2020) Detection of Artifacts in Ambulatory Electrodermal Activity Data, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4(2), p. 1-31, ACM New York, NY, USA, url, doi:10.1145/3397316 pdf
(2020) OBSERVATION OF STUDENTS BEHAVIOUR IN PROGRAMMING COURSES WITH AN AUTOMATED TESTING PLATFORM AT DIFFERENTLY GEOLOCATED UNIVERSITIES: A CASE STUDY, Acta Electrotechnica et Informatica 20(3), p. 39-47, pdf, doi:10.15546/aeei-2020-0018
2019
(2019) Cross-dataset deep transfer learning for activity recognition, Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, p. 714-718, New York, NY, USA: ACM, url, doi:10.1145/3341162.3344865 pdf
(2019) Cross-location transfer learning for the sussex-huawei locomotion recognition challenge, Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, p. 730-735, New York, NY, USA: ACM, url, doi:10.1145/3341162.3344856 pdf
(2019) Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge, Human Activity Sensing, p. 233-250, Springer, Cham, url, doi:10.1007/978-3-030-13001-5_15
(2019) Toward Early Detection and Monitoring of Chronic Heart Failure Using Heart Sounds | Semantic Scholar, Intelligent Environments (Workshops), p. 336-343, url pdf
(2019) Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning, 2019 IEEE International Conference on Big Data (Big Data), p. 5126-5130, IEEE, url, doi:10.1109/BigData47090.2019.9005715 pdf
(2019) Cross-dataset deep transfer learning for activity recognition, Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, p. 714-718, New York, NY, USA: ACM, url, doi:10.1145/3341162.3344865 pdf
(2019) Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge, Human Activity Sensing, p. 233-250, Springer, Cham, url, doi:10.1007/978-3-030-13001-5_15
2018
(2018) An inter-domain study for arousal recognition from physiological signals, Informatica (Slovenia) 42(1), p. 61-68 pdf
(2018) Non-invasive blood pressure estimation from ECG using machine learning techniques, Sensors 18(4), p. 1160, Multidisciplinary Digital Publishing Institute
(2018) Novel Data Processing Approach for Deriving Blood Pressure from ECG Only, International Conference on Telecommunications, p. 273-285
(2018) ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning., HEALTHINF, p. 282-292
(2018) Analysing Physiology of Interpersonal Conflicts Using a Wrist Device, European Conference on Ambient Intelligence, p. 162-167 pdf
(2018) My Watch Says I'm Busy, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, p. 1234-1240, New York, NY, USA: ACM, url, doi:10.1145/3267305.3274113 pdf
(2018) Multi-Task Ensemble Learning for Affect Recognition, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, p. 553-558 pdf
(2018) Deep Ensembles for Inter-Domain Arousal Recognition, Workshop on Artificial Intelligence in Affective Computing, p. 52-65
(2018) Framework for Human Activity Recognition on Smartphones and Smartwatches, International Conference on Telecommunications, p. 90-99 pdf
(2018) Novel Data Processing Approach for Deriving Blood Pressure from ECG Only, International Conference on Telecommunications, p. 273-285
(2018) ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning., HEALTHINF, p. 282-292
(2018) Applying multiple knowledge to Sussex-Huawei locomotion challenge, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, p. 1488-1496 pdf
(2018) A new frontier for activity recognition: the Sussex-Huawei locomotion challenge, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, p. 1511-1520 pdf
(2018) Context-Aware Stress Detection in the AWARE Framework, Proceedings of the 21st International Multiconference INFORMATION SOCIETY–IS, p. 25-28 pdf
(2018) Deep Ensembles for Inter-Domain Arousal Recognition, Workshop on Artificial Intelligence in Affective Computing, p. 52-65
2017
(2017) Monitoring and Management of Physical, Mental and Environmental Stress at Work
(2017) Monitoring stress with a wrist device using context, Journal of biomedical informatics 73, p. 159-170, Academic Press pdf
(2017) JSI Sound–a machine-learning tool in Orange for simple biosound classification
(2017) Monitoring physical activity and mental stress using wrist-worn device and a smartphone, Joint European Conference on Machine Learning and Knowledge Discovery in Databases, p. 414-418 pdf
(2017) Monitoring and Management of Physical, Mental and Environmental Stress at Work
(2017) Real-time physical activity and mental stress management with a wristband and a smartphone, Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, p. 225-228 pdf
(2017) Deep affect recognition from RR intervals, Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, p. 754-762 pdf
(2017) JSI Sound–a machine-learning tool in Orange for simple biosound classification
(2017) Chronic heart failure detection from heart sounds using a stack of machine-learning classifiers, 2017 International Conference on Intelligent Environments (IE), p. 14-19 pdf
(2017) Management of physical, mental and environmental stress at the workplace, 2017 International Conference on Intelligent Environments (IE), p. 76-83 pdf
2016
(2016) Demo for continuous live stress monitoring with a wristband, Prestigious Applications of Intelligent Systems conference pdf
(2016) Comparing deep and classical machine learning methods for human activity recognition using wrist accelerometer, Proceedings of the IJCAI 2016 Workshop on Deep Learning for Artificial Intelligence, New York, NY, USA 10, p. 970 pdf
(2016) Personalized well-being monitoring using wearable sensors
(2016) Activity and stress monitoring using smartphone and wrist device, 7th Jožef Stefan international postgraduate school students’ conference. Ljubljana, p. 154-164 pdf
(2016) How accurately can your wrist device recognize daily activities and detect falls?, Sensors 16(6), p. 800, Multidisciplinary Digital Publishing Institute
(2016) Continuous stress detection using a wrist device: in laboratory and real life, proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing: Adjunct, p. 1185-1193 pdf
(2016) Demo for continuous live stress monitoring with a wristband, Prestigious Applications of Intelligent Systems conference pdf
(2016) Personalized well-being monitoring using wearable sensors
2015
(2015) Recognizing atomic activities with wrist-worn accelerometer using machine learning, Proceedings of the 18th International Multiconference Information Society (IS), Ljubljana, Slovenia, p. 10-11 pdf
(2015) Automatic detection of perceived stress in campus students using smartphones, 2015 International Conference on Intelligent Environments, p. 132-135
(2015) Towards unobtrusive stress detection, 7th Jozef Stefan International Postgraduate School Students Conference, p. 104-113
2014
(2014) Machine learning approach for emotion recognition in speech, Informatica 38(4) pdf
(2014) Automatic Recognition of Emotions from Speech pdf
(2014) Optical character recognition applied on receipts printed in Macedonian Language, International Conference on Informatics and Information Technologies (CIIT), p. 59-62
2013
(2013) Predicting the Arrival and the Departure Time of an Employee, Preko 5000 let slovenske inovativnosti. pdf
