Martin Gjoreski

Orcid: 0000-0002-1220-7418

According to our database1, Martin Gjoreski authored at least 70 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models.
CoRR, 2024

2023
LAUREATE: A Dataset for Supporting Research in Affective Computing and Human Memory Augmentation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling.
Sensors, 2023

GANs for Privacy-Aware Mobility Modeling.
IEEE Access, 2023

Federated Learning for Privacy-aware Cognitive Workload Estimation.
Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 2023

A Federated Unsupervised Personalisation for Cognitive Workload Estimation.
Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 2023

Recognizing Activities of Daily Living using Multi-sensor Smart Glasses.
Proceedings of the 46th MIPRO ICT and Electronics Convention, 2023

Smart Glasses for Gait Analysis of Parkinson's Disease Patients.
Proceedings of the 46th MIPRO ICT and Electronics Convention, 2023

Privacy-aware Human Activity Recognition with Smart Glasses for Digital Therapeutics.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

OCOsense Glasses - Monitoring Facial Gestures and Expressions for Augmented Human-Computer Interaction: OCOsense Glasses for Monitoring Facial Gestures and Expressions.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning.
Sensors, 2022

What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges.
Sensors, 2022

Federated Learning for Privacy-Aware Human Mobility Modeling.
Frontiers Artif. Intell., 2022

Toward privacy-aware federated analytics of cohorts for smart mobility.
Frontiers Comput. Sci., 2022

BAG-DSM: A Method for Generating Alternatives for Hierarchical Multi-Attribute Decision Models Using Bayesian Optimization.
Algorithms, 2022

Facial Expression Recognition using Facial Mask with EMG Sensors.
Proceedings of VR4Health, 2022

BayCon: Model-agnostic Bayesian Counterfactual Generator.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-task Learning for Stress Recognition.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

OCOsense Glasses for Facial Expressions Recognition and Contextual Affective Computing in Real World and Augmented Reality.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Exploring LAUREATE - the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Introduction of the LAUREATE dataset: the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Monitoring Valence with Facial EMG Sensors using Machine Learning.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Affect and Learning in the LAUREATE Dataset.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Handling Missing Data For Sleep Monitoring Systems.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable Sensors.
Informatica (Slovenia), 2021

A Method for Combining Classical and Deep Machine Learning for Mobile Health and Behavior Monitoring.
Informatica (Slovenia), 2021

Learning comprehensible and accurate hybrid trees.
Expert Syst. Appl., 2021

Cognitive Load Monitoring With Wearables-Lessons Learned From a Machine Learning Challenge.
IEEE Access, 2021

Detecting Verbal and Non-Verbal Gestures Using Earables.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

emteqPRO: Face-mounted Mask for Emotion Recognition and Affective Computing.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

2020
Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data.
Sensors, 2020

Toward Cognitive Load Inference for Attention Management in Ubiquitous Systems.
IEEE Pervasive Comput., 2020

Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors.
Inf. Fusion, 2020

Detection of Artifacts in Ambulatory Electrodermal Activity Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals.
IEEE Access, 2020

Machine Learning and End-to-End Deep Learning for the Detection of Chronic Heart Failure From Heart Sounds.
IEEE Access, 2020

Designing an Intelligent Cognitive Assistant as Persuasive Technology for Stress, Anxiety and Depression Relief.
Proceedings of the 15th International Conference on Persuasive Technology, Adjunct Proceedings (PERSUASIVE 2020), Aalborg, Denmark, April 20th, 2020

Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

UbiTtention 2020: 5th International Workshop on Smart & Ambient Notification and Attention Management.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

PerMEASS - Personal Mental Health Virtual Assistant with Novel Ambient Intelligence Integration.
Proceedings of the First International AAI4H, 2020

2019
Toward Early Detection and Monitoring of Chronic Heart Failure Using Heart Sounds.
Proceedings of the Intelligent Environments 2019, 2019

Cross-location transfer learning for the sussex-huawei locomotion recognition challenge.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Cross-dataset deep transfer learning for activity recognition.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge.
Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018
Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques.
Sensors, 2018

An Inter-domain Study for Arousal Recognition from Physiological Signals.
Informatica (Slovenia), 2018

Deep Ensembles for Inter-Domain Arousal Recognition.
Proceedings of the Workshop on Artificial Intelligence in Affective Computing, 2018

Novel Data Processing Approach for Deriving Blood Pressure from ECG Only.
Proceedings of the ICT Innovations 2018. Engineering and Life Sciences, 2018

Framework for Human Activity Recognition on Smartphones and Smartwatches.
Proceedings of the ICT Innovations 2018. Engineering and Life Sciences, 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, 2018

My Watch Says I'm Busy: Inferring Cognitive Load with Low-Cost Wearables.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 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, 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, 2018

ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

Analysing Physiology of Interpersonal Conflicts Using a Wrist Device.
Proceedings of the Ambient Intelligence - 14th European Conference, 2018

2017
Monitoring stress with a wrist device using context.
J. Biomed. Informatics, 2017

Monitoring Physical Activity and Mental Stress Using Wrist-Worn Device and a Smartphone.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Chronic Heart Failure Detection from Heart Sounds Using a Stack of Machine-Learning Classifiers.
Proceedings of the 2017 International Conference on Intelligent Environments, 2017

Management of Physical, Mental and Environmental Stress at the Workplace.
Proceedings of the 2017 International Conference on Intelligent Environments, 2017

JSI Sound - a Machine-Learning Tool in Orange for Simple Biosound Classification.
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Deep affect recognition from R-R intervals.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

Real-time physical activity and mental stress management with a wristband and a smartphone.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2016
How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls?
Sensors, 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 and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Continuous Live Stress Monitoring with a Wristband.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Automatic Detection of Perceived Stress in Campus Students Using Smartphones.
Proceedings of the 2015 International Conference on Intelligent Environments, 2015

2014
Machine Learning Approach for Emotion Recognition in Speech.
Informatica (Slovenia), 2014


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