Machine Learning Approach for Emotion Recognition in Speech. - Martin Gjoreski; Hristijan Gjoreski; Andrea Kulakov (Informatica (Slovenia), 2014)

Automatic Detection of Perceived Stress in Campus Students Using Smartphones. - Martin Gjoreski; Hristijan Gjoreski; Mitja Lustrek; Matjaz Gams (Intelligent Environments, 2015)

Continuous Live Stress Monitoring with a Wristband. - Martin Gjoreski; Hristijan Gjoreski; Mitja Lustrek; Matjaz Gams (ECAI, 2016)

Continuous stress detection using a wrist device: in laboratory and real life. - Martin Gjoreski; Hristijan Gjoreski; Mitja Lustrek; Matjaz Gams (UbiComp Adjunct, 2016)

How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls? - Martin Gjoreski; Hristijan Gjoreski; Mitja Lustrek; Matjaz Gams (Sensors, 2016)

Real-time physical activity and mental stress management with a wristband and a smartphone. - Bozidara Cvetkovic; Martin Gjoreski; Jure Sorn; Pavel Maslov; Michal Kosiedowski; Maciej Bogdanski; Aleksander Stroinski; Mitja Lustrek (UbiComp/ISWC Adjunct, 2017)

Deep affect recognition from R-R intervals. - Martin Gjoreski; Hristijan Gjoreski; Mitja Lustrek; Matjaz Gams (UbiComp/ISWC Adjunct, 2017)

JSI Sound - a Machine-Learning Tool in Orange for Simple Biosound Classification. - Borut Budna; Martin Gjoreski; Anton Gradisek; Matjaz Gams (BAI@IJCAI, 2017)

Management of Physical, Mental and Environmental Stress at the Workplace. - Bozidara Cvetkovic; Martin Gjoreski; Jure Sorn; Martin Freser; Maciej Bogdanski; Katarzyna Jackowska; Michal Kosiedowski; Aleksander Stroinski; Mitja Lustrek (Intelligent Environments, 2017)

Chronic Heart Failure Detection from Heart Sounds Using a Stack of Machine-Learning Classifiers. - Martin Gjoreski; Monika Simjanoska; Anton Gradisek; Ana Peterlin; Matjaz Gams; Gregor Poglajen (Intelligent Environments, 2017)

Monitoring Physical Activity and Mental Stress Using Wrist-Worn Device and a Smartphone. - Bozidara Cvetkovic; Martin Gjoreski; Jure Sorn; Pavel Maslov; Mitja Lustrek (ECML/PKDD (3), 2017)

Monitoring stress with a wrist device using context. - Martin Gjoreski; Mitja Lustrek; Matjaz Gams; Hristijan Gjoreski (J. Biomed. Informatics, 2017)

Analysing Physiology of Interpersonal Conflicts Using a Wrist Device. - Junos Lukan; Martin Gjoreski; Heidi Mauersberger; Annekatrin Hoppe; Ursula Hess; Mitja Lustrek (AmI, 2018)

ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning. - Monika Simjanoska; Martin Gjoreski; Ana Madevska Bogdanova; Bojana Koteska; Matjaz Gams; Jurij F. Tasic (HEALTHINF, 2018)

Applying Multiple Knowledge to Sussex-Huawei Locomotion Challenge. - Martin Gjoreski; Vito Janko; Nina Resçiç; Miha Mlakar; Mitja Lustrek; Jani Bizjak; Gasper Slapnicar; Matej Marinko; Vid Drobnic; Matjaz Gams (UbiComp/ISWC Adjunct, 2018)

Multi-Task Ensemble Learning for Affect Recognition. - Martin Gjoreski; Mitja Lustrek; Matjaz Gams (UbiComp/ISWC Adjunct, 2018)

My Watch Says I'm Busy: Inferring Cognitive Load with Low-Cost Wearables. - Martin Gjoreski; Mitja Lustrek; Veljko Pejovic (UbiComp/ISWC Adjunct, 2018)

A New Frontier for Activity Recognition: The Sussex-Huawei Locomotion Challenge. - Vito Janko; Nina Resçiç; Miha Mlakar; Vid Drobnic; Matjaz Gams; Gasper Slapnicar; Martin Gjoreski; Jani Bizjak; Matej Marinko; Mitja Lustrek (UbiComp/ISWC Adjunct, 2018)

Framework for Human Activity Recognition on Smartphones and Smartwatches. - Blagoj Mitrevski; Viktor Petreski; Martin Gjoreski; Biljana Risteska Stojkoska (ICT Innovations, 2018)

Novel Data Processing Approach for Deriving Blood Pressure from ECG Only. - Monika Simjanoska; Martin Gjoreski; Matjaz Gams; Ana Madevska Bogdanova (ICT Innovations, 2018)

Deep Ensembles for Inter-Domain Arousal Recognition. - Martin Gjoreski; Hristijan Gjoreski; Mitja Lustrek; Matjaz Gams (AffComp@IJCAI, 2018)

An Inter-domain Study for Arousal Recognition from Physiological Signals. - Martin Gjoreski; Blagoj Mitrevski; Mitja Lustrek; Matjaz Gams (Informatica (Slovenia), 2018)

Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques. - Monika Simjanoska; Martin Gjoreski; Matjaz Gams; Ana Madevska Bogdanova (Sensors, 2018)

Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge. - Vito Janko; Martin Gjoreski; Gasper Slapnicar; Miha Mlakar; Nina Resçiç; Jani Bizjak; Vid Drobnic; Matej Marinko; Nejc Mlakar; Matjaz Gams; Mitja Lustrek (Human Activity Sensing, 2019)

Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning. - Martin Gjoreski; Stefan Kochev; Nina Resçiç; Matej Gregoric; Tome Eftimov; Barbara Korousic-Seljak (IEEE BigData, 2019)

Cross-dataset deep transfer learning for activity recognition. - Martin Gjoreski; Stefan Kalabakov; Mitja Lustrek; Hristijan Gjoreski (UbiComp/ISWC Adjunct, 2019)

Cross-location transfer learning for the sussex-huawei locomotion recognition challenge. - Vito Janko; Martin Gjoreski; Carlo Maria De Masi; Nina Resçiç; Mitja Lustrek; Matjaz Gams (UbiComp/ISWC Adjunct, 2019)

Toward Early Detection and Monitoring of Chronic Heart Failure Using Heart Sounds. - Martin Gjoreski; Anton Gradisek; Borut Budna; Matjaz Gams; Gregor Poglajen (Intelligent Environments (Workshops), 2019)

PerMEASS - Personal Mental Health Virtual Assistant with Novel Ambient Intelligence Integration. - Tine Kolenik; Martin Gjoreski; Matjaz Gams (AAI4H@ECAI, 2020)

UbiTtention 2020: 5th International Workshop on Smart & Ambient Notification and Attention Management. - Niels van Berkel; Anja Exler; Martin Gjoreski; Tine Kolenik; Tadashi Okoshi; Veljko Pejovic; Aku Visuri; Alexandra Voit (UbiComp/ISWC Adjunct, 2020)

Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning. - Stefan Kalabakov; Simon Stankoski; Nina Resçiç; Ivana Kiprijanovska; Andrejaana Andova; Clément Picard; Vito Janko; Martin Gjoreski; Mitja Lustrek (UbiComp/ISWC Adjunct, 2020)

Designing an Intelligent Cognitive Assistant as Persuasive Technology for Stress, Anxiety and Depression Relief. - Tine Kolenik; Martin Gjoreski; Matjaz Gams (PERSUASIVE (Adjunct), 2020)

Machine Learning and End-to-End Deep Learning for the Detection of Chronic Heart Failure From Heart Sounds. - Martin Gjoreski; Anton Gradisek; Borut Budna; Matjaz Gams; Gregor Poglajen (IEEE Access, 2020)

Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals. - Martin Gjoreski; Matjaz Gams; Mitja Lustrek; Pelin Genc; Jens-Uwe Garbas; Teena Hassan (IEEE Access, 2020)

Detection of Artifacts in Ambulatory Electrodermal Activity Data. - Shkurta Gashi; Elena Di Lascio; Bianca Stancu; Vedant Das Swain; Varun Mishra 001; Martin Gjoreski; Silvia Santini (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors. - Martin Gjoreski; Vito Janko; Gasper Slapnicar; Miha Mlakar; Nina Resçiç; Jani Bizjak; Vid Drobnic; Matej Marinko; Nejc Mlakar; Mitja Lustrek; Matjaz Gams (Inf. Fusion, 2020)

Toward Cognitive Load Inference for Attention Management in Ubiquitous Systems. - Veljko Pejovic; Martin Gjoreski; Christoph Anderson; Klaus David; Mitja Lustrek (IEEE Pervasive Comput., 2020)

Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data. - Maciej Dziezyc; Martin Gjoreski; Przemyslaw Kazienko; Stanislaw Saganowski; Matjaz Gams (Sensors, 2020)

emteqPRO: Face-mounted Mask for Emotion Recognition and Affective Computing. - Hristijan Gjoreski; Ifigeneia I. Mavridou; Mohsen Fatoorechi; Ivana Kiprijanovska; Martin Gjoreski; Graeme Cox; Charles Nduka (UbiComp/ISWC Adjunct, 2021)

Detecting Verbal and Non-Verbal Gestures Using Earables. - Matías Laporte; Preety Baglat; Shkurta Gashi; Martin Gjoreski; Silvia Santini; Marc Langheinrich (UbiComp/ISWC Adjunct, 2021)

Cognitive Load Monitoring With Wearables-Lessons Learned From a Machine Learning Challenge. - Martin Gjoreski; Bhargavi Mahesh; Tine Kolenik; Jens-Uwe Garbas; Dominik Seuss; Hristijan Gjoreski; Mitja Lustrek; Matjaz Gams; Veljko Pejovic (IEEE Access, 2021)

Learning comprehensible and accurate hybrid trees. - Rok Piltaver; Mitja Lustrek; Saso Dzeroski; Martin Gjoreski; Matjaz Gams (Expert Syst. Appl., 2021)

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

Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable Sensors. - Stefan Kalabakov; Martin Gjoreski; Hristijan Gjoreski; Matjaz Gams (Informatica (Slovenia), 2021)

Handling Missing Data For Sleep Monitoring Systems. - Shkurta Gashi; Lidia Alecci; Martin Gjoreski; Elena Di Lascio; Abhinav Mehrotra; Mirco Musolesi; Maike E. Debus; Francesca Gasparini; Silvia Santini (ACII, 2022)

Affect and Learning in the LAUREATE Dataset. - Enqi Fu; Matías Laporte; Cindy Guerrero Toro; Martin Gjoreski; Marc Langheinrich (UbiComp/ISWC Adjunct, 2022)

Monitoring Valence with Facial EMG Sensors using Machine Learning. - Ivana Kiprijanovska; Bojan Jakimovski; Petar Krstevski; Simon Stankoski; Ifigeneia Mavridou; Charles Nduka; Hristijan Gjoreski; Martin Gjoreski (UbiComp/ISWC Adjunct, 2022)

Introduction of the LAUREATE dataset: the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research. - Matías Laporte; Enqi Fu; Martin Gjoreski; Marc Langheinrich (UbiComp/ISWC Adjunct, 2022)

Exploring LAUREATE - the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research. - Matías Laporte; Daniele Gasparini; Martin Gjoreski; Marc Langheinrich (UbiComp/ISWC Adjunct, 2022)

OCOsense Glasses for Facial Expressions Recognition and Contextual Affective Computing in Real World and Augmented Reality. - Ifigeneia Mavridou; James Archer; Andrew Cleal; Mohsen Fatoorechi; Simon Stankoski; Ivana Kiprijanovska; John Broulidakis; Martin Gjoreski; Charles Nduka; Hristijan Gjoreski (UbiComp/ISWC Adjunct, 2022)

Multi-task Learning for Stress Recognition. - Alessandro Pogliaghi; Elena Di Lascio; Shkurta Gashi; Emanuela Piciucco; Silvia Santini; Martin Gjoreski (UbiComp/ISWC Adjunct, 2022)

BayCon: Model-agnostic Bayesian Counterfactual Generator. - Piotr Romashov; Martin Gjoreski; Kacper Sokol; Maria Vanina Martinez; Marc Langheinrich (IJCAI, 2022)

Facial Expression Recognition using Facial Mask with EMG Sensors. - Ivana Kiprijanovska; Borjan Sazdov; Martin Majstoroski; Simon Stankoski; Martin Gjoreski; Charles Nduka; Hristijan Gjoreski (VR4Health@MUM, 2022)

BAG-DSM: A Method for Generating Alternatives for Hierarchical Multi-Attribute Decision Models Using Bayesian Optimization. - Martin Gjoreski; Vladimir Kuzmanovski; Marko Bohanec (Algorithms, 2022)

Toward privacy-aware federated analytics of cohorts for smart mobility. - Martin Gjoreski; Matías Laporte; Marc Langheinrich (Frontiers Comput. Sci., 2022)

Federated Learning for Privacy-Aware Human Mobility Modeling. - Castro Elizondo Jose Ezequiel; Martin Gjoreski; Marc Langheinrich (Frontiers Artif. Intell., 2022)

What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. - Stefan Kalabakov; Simon Stankoski; Ivana Kiprijanovska; Andrejaana Andova; Nina Resçiç; Vito Janko; Martin Gjoreski; Matjaz Gams; Mitja Lustrek (Sensors, 2022)

Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning. - Simon Stankoski; Ivana Kiprijanovska; Ifigeneia Mavridou; Charles Nduka; Hristijan Gjoreski; Martin Gjoreski (Sensors, 2022)

OCOsense Glasses - Monitoring Facial Gestures and Expressions for Augmented Human-Computer Interaction: OCOsense Glasses for Monitoring Facial Gestures and Expressions. - Hristijan Gjoreski; Ifigeneia Mavridou; James Archer; Andrew Cleal; Simon Stankoski; Ivana Kiprijanovska; Mohsen Fatoorechi; Piotr Walas; John Broulidakis; Martin Gjoreski; Charles Nduka (CHI Extended Abstracts, 2023)

Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition. - Lidia Alecci; Leonardo Alchieri; Nouran Abdalazim; Pietro Barbiero; Silvia Santini; Martin Gjoreski (UbiComp/ISWC Adjunct, 2023)

Privacy-aware Human Activity Recognition with Smart Glasses for Digital Therapeutics. - Borjan Sazdov; Bojan Jakimovski; Simon Stankoski; Ivana Kiprijanovska; Bojan Sofronievski; Martin Gjoreski; Charles Nduka; Hristijan Gjoreski (UbiComp/ISWC Adjunct, 2023)

Smart Glasses for Gait Analysis of Parkinson's Disease Patients. - Ivana Kiprijanovska; Filip Panchevski; Simon Stankoski; Martin Gjoreski; James Archer; John Broulidakis; Ifigeneia Mavridou; Bradley Hayes; Tiago João Guerreiro 001; Charles Nduka; Hristijan Gjoreski (MIPRO, 2023)

Recognizing Activities of Daily Living using Multi-sensor Smart Glasses. - Simon Stankoski; Borjan Sazdov; John Broulidakis; Ivana Kiprijanovska; Bojan Sofronievski; Sophia Cox; Martin Gjoreski; James Archer; Charles Nduka; Hristijan Gjoreski (MIPRO, 2023)

A Federated Unsupervised Personalisation for Cognitive Workload Estimation. - Dario Fenoglio; Martin Gjoreski; Marc Langheinrich (MUM, 2023)

Federated Learning for Privacy-aware Cognitive Workload Estimation. - Dario Fenoglio; Daniel Josifovski; Alessandro Gobbetti; Mattias Formo; Hristijan Gjoreski; Martin Gjoreski; Marc Langheinrich (MUM, 2023)

GANs for Privacy-Aware Mobility Modeling. - Ivan Fontana; Marc Langheinrich; Martin Gjoreski (IEEE Access, 2023)

Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling. - Riccardo Corrias; Martin Gjoreski; Marc Langheinrich (Sensors, 2023)

LAUREATE: A Dataset for Supporting Research in Affective Computing and Human Memory Augmentation. - Matías Laporte; Martin Gjoreski; Marc Langheinrich (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Generative Models for Counterfactual Explanations. - Daniil E. Kirilenko; Pietro Barbiero; Martin Gjoreski; Mitja Lustrek; Marc Langheinrich (HI-AI@KDD, 2024)

Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. - Dario Fenoglio; Mohan Li; Davide Casnici; Matías Laporte; Shkurta Gashi; Silvia Santini; Martin Gjoreski; Marc Langheinrich (IE, 2024)

Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. - Dario Fenoglio; Gabriele Dominici; Pietro Barbiero; Alberto Tonda; Martin Gjoreski; Marc Langheinrich (NeurIPS, 2024)

AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. - Gabriele Dominici; Pietro Barbiero; Francesco Giannini; Martin Gjoreski; Marc Langheinrich (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability. - Fatima Ezzeddine; Mirna Saad; Omran Ayoub; Davide Andreoletti; Martin Gjoreski; Ihab Sbeity; Marc Langheinrich; Silvia Giordano (xAI (3), 2024)

Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. - Gabriele Dominici; Pietro Barbiero; Francesco Giannini; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich (CoRR, 2024)

Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. - Gabriele Dominici; Pietro Barbiero; Mateo Espinosa Zarlenga; Alberto Termine; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich (CoRR, 2024)

Counterfactual Explanations for Clustering Models. - Aurora Spagnol; Kacper Sokol; Pietro Barbiero; Marc Langheinrich; Martin Gjoreski (CoRR, 2024)

Evaluating Explanations Through LLMs: Beyond Traditional User Studies. - Francesco Bombassei De Bona; Gabriele Dominici; Tim Miller 001; Marc Langheinrich; Martin Gjoreski (CoRR, 2024)

FedMMA-HAR: Federated Learning for Human Activity Recognition With Missing Modalities Using Head-Worn Wearables. - Alessandro Gobbetti; Martin Gjoreski; Hristijan Gjoreski; Nicholas D. Lane; Marc Langheinrich (IEEE Pervasive Comput., 2024)

Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices. - Leonardo Alchieri; Nouran Abdalazim; Lidia Alecci; Shkurta Gashi; Martin Gjoreski; Silvia Santini (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Counterfactual Concept Bottleneck Models. - Gabriele Dominici; Pietro Barbiero; Francesco Giannini; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich (ICLR, 2025)

Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. - Gabriele Dominici; Pietro Barbiero; Mateo Espinosa Zarlenga; Alberto Termine; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich (ICLR, 2025)

Deep Learning for Facial Expression and Human Activity Recognition Using Smart Glasses. - Matea Marinova; Emilija Chona; Andrej Kotevski; Borjan Sazdov; Ivana Kiprijanovska; Simon Stankoski; Martin Gjoreski; Charles Nduka; Hristijan Gjoreski (IEEE Access, 2025)

A Survey on Federated Learning in Human Sensing. - Mohan Li; Martin Gjoreski; Pietro Barbiero; Gasper Slapnicar; Mitja Lustrek; Nicholas D. Lane; Marc Langheinrich (CoRR, 2025)