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2020 – today
- 2024
[j24]Leonardo Alchieri
, Nouran Abdalazim, Lidia Alecci, Shkurta Gashi, Martin Gjoreski, Silvia Santini:
Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 2:1-2:30 (2024)- [c48]Daniil E. Kirilenko, Pietro Barbiero, Martin Gjoreski, Mitja Lustrek, Marc Langheinrich:
Generative Models for Counterfactual Explanations. HI-AI@KDD 2024: 18-30 - [c47]Dario Fenoglio, Mohan Li, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich:
Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. IE 2024: 17-24 - [c46]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich:
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 81-88 - [c45]Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano:
Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability. xAI (3) 2024: 294-318 - [i7]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich:
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR abs/2402.01408 (2024) - [i6]Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano:
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability. CoRR abs/2404.06144 (2024) - [i5]Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich:
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. CoRR abs/2405.15632 (2024) - [i4]Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich:
Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. CoRR abs/2405.16507 (2024) - [i3]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich:
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. CoRR abs/2405.16508 (2024) - [i2]Aurora Spagnol, Kacper Sokol, Pietro Barbiero, Marc Langheinrich, Martin Gjoreski:
Counterfactual Explanations for Clustering Models. CoRR abs/2409.12632 (2024) - [i1]Francesco Bombassei De Bona, Gabriele Dominici, Tim Miller, Marc Langheinrich, Martin Gjoreski:
Evaluating Explanations Through LLMs: Beyond Traditional User Studies. CoRR abs/2410.17781 (2024) - 2023
- [j23]Ivan Fontana, Marc Langheinrich, Martin Gjoreski:
GANs for Privacy-Aware Mobility Modeling. IEEE Access 11: 29250-29262 (2023) - [j22]Matías Laporte, Martin Gjoreski, Marc Langheinrich:
LAUREATE: A Dataset for Supporting Research in Affective Computing and Human Memory Augmentation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 106:1-106:41 (2023) - [j21]Riccardo Corrias, Martin Gjoreski, Marc Langheinrich:
Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling. Sensors 23(10): 4803 (2023) - [c44]Hristijan Gjoreski, Ifigeneia Mavridou, James Archer, Andrew Cleal, Simon Stankoski, Ivana Kiprijanovska, Mohsen Fatoorechi, Piotr Walas, John Broulidakis, Martin Gjoreski, Charles Nduka:
OCOsense Glasses - Monitoring Facial Gestures and Expressions for Augmented Human-Computer Interaction: OCOsense Glasses for Monitoring Facial Gestures and Expressions. CHI Extended Abstracts 2023: 465:1-465:4 - [c43]Lidia Alecci, Leonardo Alchieri, Nouran Abdalazim, Pietro Barbiero, Silvia Santini, Martin Gjoreski:
Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition. UbiComp/ISWC Adjunct 2023: 540-545 - [c42]Borjan Sazdov, Bojan Jakimovski, Simon Stankoski, Ivana Kiprijanovska, Bojan Sofronievski, Martin Gjoreski, Charles Nduka, Hristijan Gjoreski:
Privacy-aware Human Activity Recognition with Smart Glasses for Digital Therapeutics. UbiComp/ISWC Adjunct 2023: 592-596 - [c41]Ivana Kiprijanovska, Filip Panchevski, Simon Stankoski, Martin Gjoreski, James Archer, John Broulidakis, Ifigeneia Mavridou, Bradley Hayes, Tiago João Guerreiro, Charles Nduka, Hristijan Gjoreski:
Smart Glasses for Gait Analysis of Parkinson's Disease Patients. MIPRO 2023: 385-390 - [c40]Simon Stankoski, Borjan Sazdov, John Broulidakis, Ivana Kiprijanovska, Bojan Sofronievski, Sophia Cox, Martin Gjoreski, James Archer, Charles Nduka, Hristijan Gjoreski:
Recognizing Activities of Daily Living using Multi-sensor Smart Glasses. MIPRO 2023: 397-402 - [c39]Dario Fenoglio, Daniel Josifovski, Alessandro Gobbetti, Mattias Formo, Hristijan Gjoreski, Martin Gjoreski, Marc Langheinrich:
Federated Learning for Privacy-aware Cognitive Workload Estimation. MUM 2023: 19-30 - [c38]Dario Fenoglio, Martin Gjoreski, Marc Langheinrich:
A Federated Unsupervised Personalisation for Cognitive Workload Estimation. MUM 2023: 520-522 - 2022
- [j20]Martin Gjoreski, Vladimir Kuzmanovski, Marko Bohanec:
BAG-DSM: A Method for Generating Alternatives for Hierarchical Multi-Attribute Decision Models Using Bayesian Optimization. Algorithms 15(6): 197 (2022) - [j19]Martin Gjoreski, Matías Laporte, Marc Langheinrich:
Toward privacy-aware federated analytics of cohorts for smart mobility. Frontiers Comput. Sci. 4 (2022) - [j18]Castro Elizondo Jose Ezequiel, Martin Gjoreski, Marc Langheinrich:
Federated Learning for Privacy-Aware Human Mobility Modeling. Frontiers Artif. Intell. 5 (2022) - [j17]Simon Stankoski, Ivana Kiprijanovska, Ifigeneia Mavridou, Charles Nduka, Hristijan Gjoreski, Martin Gjoreski:
Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning. Sensors 22(6): 2079 (2022) - [j16]Stefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Resçiç, Vito Janko, Martin Gjoreski, Matjaz Gams, Mitja Lustrek:
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): 3613 (2022) - [c37]Shkurta Gashi, Lidia Alecci, Martin Gjoreski, Elena Di Lascio, Abhinav Mehrotra, Mirco Musolesi, Maike E. Debus, Francesca Gasparini, Silvia Santini:
Handling Missing Data For Sleep Monitoring Systems. ACII 2022: 1-8 - [c36]Matías Laporte, Enqi Fu, Martin Gjoreski, Marc Langheinrich:
Introduction of the LAUREATE dataset: the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research. UbiComp/ISWC Adjunct 2022: 67-69 - [c35]Ifigeneia Mavridou, James Archer, Andrew Cleal, Mohsen Fatoorechi, Simon Stankoski, Ivana Kiprijanovska, John Broulidakis, Martin Gjoreski, Charles Nduka, Hristijan Gjoreski:
OCOsense Glasses for Facial Expressions Recognition and Contextual Affective Computing in Real World and Augmented Reality. UbiComp/ISWC Adjunct 2022: 81-84 - [c34]Enqi Fu, Matías Laporte, Cindy Guerrero Toro, Martin Gjoreski, Marc Langheinrich:
Affect and Learning in the LAUREATE Dataset. UbiComp/ISWC Adjunct 2022: 168-172 - [c33]Ivana Kiprijanovska, Bojan Jakimovski, Petar Krstevski, Simon Stankoski, Ifigeneia Mavridou, Charles Nduka, Hristijan Gjoreski, Martin Gjoreski:
Monitoring Valence with Facial EMG Sensors using Machine Learning. UbiComp/ISWC Adjunct 2022: 178-182 - [c32]Alessandro Pogliaghi, Elena Di Lascio, Shkurta Gashi, Emanuela Piciucco, Silvia Santini, Martin Gjoreski:
Multi-task Learning for Stress Recognition. UbiComp/ISWC Adjunct 2022: 202-206 - [c31]Matías Laporte, Daniele Gasparini, Martin Gjoreski, Marc Langheinrich:
Exploring LAUREATE - the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research. UbiComp/ISWC Adjunct 2022: 494-499 - [c30]Piotr Romashov, Martin Gjoreski, Kacper Sokol, Maria Vanina Martinez, Marc Langheinrich:
BayCon: Model-agnostic Bayesian Counterfactual Generator. IJCAI 2022: 740-746 - [c29]Ivana Kiprijanovska, Borjan Sazdov, Martin Majstoroski, Simon Stankoski, Martin Gjoreski, Charles Nduka, Hristijan Gjoreski:
Facial Expression Recognition using Facial Mask with EMG Sensors. VR4Health@MUM 2022: 23-28 - 2021
- [j15]Martin Gjoreski, Bhargavi Mahesh, Tine Kolenik, Jens-Uwe Garbas, Dominik Seuss, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams, Veljko Pejovic:
Cognitive Load Monitoring With Wearables-Lessons Learned From a Machine Learning Challenge. IEEE Access 9: 103325-103336 (2021) - [j14]Rok Piltaver, Mitja Lustrek, Saso Dzeroski, Martin Gjoreski, Matjaz Gams:
Learning comprehensible and accurate hybrid trees. Expert Syst. Appl. 164: 113980 (2021) - [j13]Martin Gjoreski:
A Method for Combining Classical and Deep Machine Learning for Mobile Health and Behavior Monitoring. Informatica (Slovenia) 45(1) (2021) - [j12]Stefan Kalabakov, Martin Gjoreski, Hristijan Gjoreski, Matjaz Gams:
Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable Sensors. Informatica (Slovenia) 45(2) (2021) - [c28]Hristijan Gjoreski, Ifigeneia I. Mavridou, Mohsen Fatoorechi, Ivana Kiprijanovska, Martin Gjoreski, Graeme Cox, Charles Nduka:
emteqPRO: Face-mounted Mask for Emotion Recognition and Affective Computing. UbiComp/ISWC Adjunct 2021: 23-25 - [c27]Matías Laporte, Preety Baglat, Shkurta Gashi, Martin Gjoreski, Silvia Santini, Marc Langheinrich:
Detecting Verbal and Non-Verbal Gestures Using Earables. UbiComp/ISWC Adjunct 2021: 165-170 - 2020
- [j11]Martin Gjoreski, Anton Gradisek, Borut Budna, Matjaz Gams, Gregor Poglajen:
Machine Learning and End-to-End Deep Learning for the Detection of Chronic Heart Failure From Heart Sounds. IEEE Access 8: 20313-20324 (2020) - [j10]Martin Gjoreski, Matjaz Gams, Mitja Lustrek, Pelin Genc, Jens-Uwe Garbas, Teena Hassan:
Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals. IEEE Access 8: 70590-70603 (2020) - [j9]Shkurta Gashi, Elena Di Lascio, Bianca Stancu, Vedant Das Swain, Varun Mishra, Martin Gjoreski, Silvia Santini:
Detection of Artifacts in Ambulatory Electrodermal Activity Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 44:1-44:31 (2020) - [j8]Martin Gjoreski, Vito Janko, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Mitja Lustrek, Matjaz Gams:
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors. Inf. Fusion 62: 47-62 (2020) - [j7]Veljko Pejovic, Martin Gjoreski, Christoph Anderson, Klaus David, Mitja Lustrek:
Toward Cognitive Load Inference for Attention Management in Ubiquitous Systems. IEEE Pervasive Comput. 19(2): 35-45 (2020) - [j6]Maciej Dziezyc, Martin Gjoreski, Przemyslaw Kazienko, Stanislaw Saganowski, Matjaz Gams:
Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data. Sensors 20(22): 6535 (2020) - [c26]Tine Kolenik, Martin Gjoreski, Matjaz Gams:
PerMEASS - Personal Mental Health Virtual Assistant with Novel Ambient Intelligence Integration. AAI4H@ECAI 2020: 8-12 - [c25]Stefan Kalabakov, Simon Stankoski, Nina Resçiç, Ivana Kiprijanovska, Andrejaana Andova, Clément Picard, Vito Janko, Martin Gjoreski, Mitja Lustrek:
Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning. UbiComp/ISWC Adjunct 2020: 323-328 - [c24]Niels van Berkel, Anja Exler, Martin Gjoreski, Tine Kolenik, Tadashi Okoshi, Veljko Pejovic, Aku Visuri, Alexandra Voit:
UbiTtention 2020: 5th International Workshop on Smart & Ambient Notification and Attention Management. UbiComp/ISWC Adjunct 2020: 431-435 - [c23]Tine Kolenik, Martin Gjoreski, Matjaz Gams:
Designing an Intelligent Cognitive Assistant as Persuasive Technology for Stress, Anxiety and Depression Relief. PERSUASIVE (Adjunct) 2020
2010 – 2019
- 2019
- [c22]Martin Gjoreski, Stefan Kochev, Nina Resçiç, Matej Gregoric, Tome Eftimov, Barbara Korousic-Seljak:
Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning. IEEE BigData 2019: 5126-5130 - [c21]Martin Gjoreski, Stefan Kalabakov, Mitja Lustrek, Hristijan Gjoreski:
Cross-dataset deep transfer learning for activity recognition. UbiComp/ISWC Adjunct 2019: 714-718 - [c20]Vito Janko, Martin Gjoreski, Carlo Maria De Masi, Nina Resçiç, Mitja Lustrek, Matjaz Gams:
Cross-location transfer learning for the sussex-huawei locomotion recognition challenge. UbiComp/ISWC Adjunct 2019: 730-735 - [c19]Martin Gjoreski, Anton Gradisek, Borut Budna, Matjaz Gams, Gregor Poglajen:
Toward Early Detection and Monitoring of Chronic Heart Failure Using Heart Sounds. Intelligent Environments (Workshops) 2019: 336-343 - [p1]Vito Janko, Martin Gjoreski, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Matjaz Gams, Mitja Lustrek:
Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge. Human Activity Sensing 2019: 233-250 - 2018
- [j5]Martin Gjoreski, Blagoj Mitrevski, Mitja Lustrek, Matjaz Gams:
An Inter-domain Study for Arousal Recognition from Physiological Signals. Informatica (Slovenia) 42(1) (2018) - [j4]Monika Simjanoska, Martin Gjoreski, Matjaz Gams, Ana Madevska Bogdanova:
Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques. Sensors 18(4): 1160 (2018) - [c18]Junos Lukan, Martin Gjoreski, Heidi Mauersberger, Annekatrin Hoppe, Ursula Hess, Mitja Lustrek:
Analysing Physiology of Interpersonal Conflicts Using a Wrist Device. AmI 2018: 162-167 - [c17]Monika Simjanoska, Martin Gjoreski, Ana Madevska Bogdanova, Bojana Koteska, Matjaz Gams, Jurij F. Tasic:
ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning. HEALTHINF 2018: 282-292 - [c16]Martin Gjoreski, Mitja Lustrek, Matjaz Gams:
Multi-Task Ensemble Learning for Affect Recognition. UbiComp/ISWC Adjunct 2018: 553-558 - [c15]Martin Gjoreski, Mitja Lustrek, Veljko Pejovic:
My Watch Says I'm Busy: Inferring Cognitive Load with Low-Cost Wearables. UbiComp/ISWC Adjunct 2018: 1234-1240 - [c14]Martin Gjoreski, Vito Janko, Nina Resçiç, Miha Mlakar, Mitja Lustrek, Jani Bizjak, Gasper Slapnicar, Matej Marinko, Vid Drobnic, Matjaz Gams:
Applying Multiple Knowledge to Sussex-Huawei Locomotion Challenge. UbiComp/ISWC Adjunct 2018: 1488-1496 - [c13]Vito Janko, Nina Resçiç, Miha Mlakar, Vid Drobnic, Matjaz Gams, Gasper Slapnicar, Martin Gjoreski, Jani Bizjak, Matej Marinko, Mitja Lustrek:
A New Frontier for Activity Recognition: The Sussex-Huawei Locomotion Challenge. UbiComp/ISWC Adjunct 2018: 1511-1520 - [c12]Blagoj Mitrevski, Viktor Petreski, Martin Gjoreski, Biljana Risteska Stojkoska:
Framework for Human Activity Recognition on Smartphones and Smartwatches. ICT Innovations 2018: 90-99 - [c11]Monika Simjanoska, Martin Gjoreski, Matjaz Gams, Ana Madevska Bogdanova:
Novel Data Processing Approach for Deriving Blood Pressure from ECG Only. ICT Innovations 2018: 273-285 - [c10]Martin Gjoreski, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams:
Deep Ensembles for Inter-Domain Arousal Recognition. AffComp@IJCAI 2018: 52-64 - 2017
- [j3]Martin Gjoreski, Mitja Lustrek, Matjaz Gams, Hristijan Gjoreski:
Monitoring stress with a wrist device using context. J. Biomed. Informatics 73: 159-170 (2017) - [c9]Bozidara Cvetkovic, Martin Gjoreski, Jure Sorn, Pavel Maslov, Michal Kosiedowski, Maciej Bogdanski, Aleksander Stroinski, Mitja Lustrek:
Real-time physical activity and mental stress management with a wristband and a smartphone. UbiComp/ISWC Adjunct 2017: 225-228 - [c8]Martin Gjoreski, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams:
Deep affect recognition from R-R intervals. UbiComp/ISWC Adjunct 2017: 754-762 - [c7]Borut Budna, Martin Gjoreski, Anton Gradisek, Matjaz Gams:
JSI Sound - a Machine-Learning Tool in Orange for Simple Biosound Classification. BAI@IJCAI 2017: 26-29 - [c6]Martin Gjoreski, Monika Simjanoska, Anton Gradisek, Ana Peterlin, Matjaz Gams, Gregor Poglajen:
Chronic Heart Failure Detection from Heart Sounds Using a Stack of Machine-Learning Classifiers. Intelligent Environments 2017: 14-19 - [c5]Bozidara Cvetkovic, Martin Gjoreski, Jure Sorn, Martin Freser, Maciej Bogdanski, Katarzyna Jackowska, Michal Kosiedowski, Aleksander Stroinski, Mitja Lustrek:
Management of Physical, Mental and Environmental Stress at the Workplace. Intelligent Environments 2017: 76-83 - [c4]Bozidara Cvetkovic, Martin Gjoreski, Jure Sorn, Pavel Maslov, Mitja Lustrek:
Monitoring Physical Activity and Mental Stress Using Wrist-Worn Device and a Smartphone. ECML/PKDD (3) 2017: 414-418 - 2016
- [j2]Martin Gjoreski, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams:
How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls? Sensors 16(6): 800 (2016) - [c3]Martin Gjoreski, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams:
Continuous Live Stress Monitoring with a Wristband. ECAI 2016: 1803-1804 - [c2]Martin Gjoreski, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams:
Continuous stress detection using a wrist device: in laboratory and real life. UbiComp Adjunct 2016: 1185-1193 - 2015
- [c1]Martin Gjoreski, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams:
Automatic Detection of Perceived Stress in Campus Students Using Smartphones. Intelligent Environments 2015: 132-135 - 2014
- [j1]Martin Gjoreski, Hristijan Gjoreski, Andrea Kulakov:
Machine Learning Approach for Emotion Recognition in Speech. Informatica (Slovenia) 38(4) (2014)
Coauthor Index
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