PUBLICATIONS
Patents
[2023]
Yang, Q., O'neill, Papakostas, M., E. & Grønnegaard, C. (2023). Method for providing visual markings on a connector for a hearing device
Yang, Q., O'neill, Papakostas, M., E. & Grønnegaard, C. (2023). Connector and a hearing device comprising said connector
Journals
[2022]
Yang, Q., Papakostas, M., Scott, J. M., O'Neill, E. R., Kondrashov, K. S., Mateevitsi, V. A., ... & Dittberner, A. B. (2022). CheckMyFit: Ear Selfie to Assist User Insertion of Hearing Aids. Proceedings of the ACM on Human-Computer Interaction, 6(MHCI), 1-21.
Das, K., Papakostas, M., Riani, K., Gasiorowski, A., Abouelenien, M., Burzo, M., & Mihalcea, R. (2022). Detection and Recognition of Driver Distraction Using Multimodal Signals. ACM Transactions on Interactive Intelligent Systems (TiiS).
[2021]
Papakostas, M., Das, K., Abouelenien, M., Mihalcea, R., & Burzo, M. (2021). Distracted and Drowsy Driving Modeling Using Deep Physiological Representations and Multitask Learning. Applied Sciences, 11(1), 88.
[2019]
Papakostas ,M., Rajavenkatanarayanan & A., Makedon, F. CogBeacon: A Multi-Modal Dataset and Data-Collection Platform for Modeling Cognitive Fatigue. Technologies. (2019); 7(2):46.
Rajavenkatanarayanan, A., Kana,l V., Tsiakas, K., Calderon, D., Papakostas, M. , Abujelala, M., Galib, M., Ford, J., Wylie, G., & Makedon, F. A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis. Multimodal Technologies and Interaction 3, 1 (2019), 6
[2018]
Papakostas, M., & Giannakopoulos, T. "Speech-Music Discrimination Using Deep Visual Feature Extractors." Expert Systems with Applications (2018).
[2017]
Papakostas, M., Spyrou, E., Giannakopoulos, T., Siantikos, G., Sgouropoulos, D., Mylonas, P., & Makedon, F. Deep Visual Attributes vs. Hand-Crafted Audio Features on Multidomain Speech Emotion Recognition. Computation,(2017), 5(2), 26.
Conference Papers
[2021]
Das, K., Sharak, S., Riani, K., Abouelenien, M., Burzo, M., & Papakostas, M. (2021, October). Multimodal Detection of Drivers Drowsiness and Distraction. In Proceedings of the 2021 International Conference on Multimodal Interaction (pp. 416-424).
Yao, Y., Papakostas, M., Burzo, M., Abouelenien, M., & Mihalcea, R. (2021, June). MUSER: MUltimodal Stress detection using Emotion Recognition as an Auxiliary Task. In Proceedings of the 2021 NAACL: Human Language Technologies (pp. 2714-2725).
Papakostas, M., Gasiorowski, A., Riani K., Sun Y., Abouelenien M., Mihalcea R., & Burzo, M. (2020). Understanding Driving Distractions: A Multimodal Approach to Distraction Detection and Recognition. IUI 2021
[2020]
Riani, K., Papakostas, M., Kokash, H., Abouelenien, M., Burzo, M., & Mihalcea, R. (2020, June). Towards detecting levels of alertness in drivers using multiple modalities. In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (pp. 1-9).
Bara, C. P., Papakostas, M., & Mihalcea, R. (2020). A Deep Learning Approach Towards Multimodal Stress Detection. In Proceedings of the AAAI-20 Workshop on Affective Content Analysis, New York, USA, AAAI.
[2019]
Papakostas, M., Kanal, V., Abujelala, M., Tsiakas, K., & Makedon, F. (2019, June). Physical fatigue detection through EMG wearables and subjective user reports: a machine learning approach towards adaptive rehabilitation. In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (pp. 475-481). ACM.
[2018]
Papakostas, M., Tsiaks, K., Abujelala, M., Bell, M. & Makedon, F., v-CAT: A Cyberlearning Framework for Personalized Cognitive Skill Assessment and Training. In Proceedings of the 11th International Conference on PErvasive Technologies Related to Assistive Environments . ACM.
[2017]
Papakostas, M., Tsiakas, K., Giannakopoulos, T. & Makedon, F., Towards Predicting Task Performance from EEG Signals, Workshop on Human Machine Collaboration, BigData, 2017, IEEE
Spyrou, E., Giannakopoulos, T., Sgouropoulos, D., & Papakostas, M. (2017, July). Extracting emotions from speech using a bag-of-visual-words approach. In Semantic and Social Media Adaptation and Personalization (SMAP), 2017 12th International Workshop on (pp. 80-83). IEEE.
Tsiakas, K., Papakostas, M., Theofanidis, M., Bell, M., Mihalcea, R., Wang, S., ... & Makedon, F. (2017, June). An Interactive Multisensing Framework for Personalized Human Robot Collaboration and Assistive Training Using Reinforcement Learning. In Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 423-427). ACM.
Papakostas, M., Giannakopoulos, T., & Karkaletsis, V. (2017, June). A Fitness Monitoring System based on Fusion of Visual and Sensorial Information. In Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 280-285). ACM.
Gattupalli, S., Ebert, D., Papakostas, M., Makedon, F., & Athitsos, V. (2017, March). CogniLearn: A Deep Learning-based Interface for Cognitive Behavior Assessment. In Proceedings of the 22nd International Conference on Intelligent User Interfaces (pp. 577-587). ACM.
Tsiakas, K., Abellanoza, C., Abujelala, M., Papakostas, M., Makada, T., & Makedon, F. Towards Designing a Socially Assistive Robot for Adaptive and Personalized Cognitive Training. In Proceedings of the International Conference in Human Robot Interaction (HRI), 2017. ACM.
[2016]
Papakostas, M., Giannakopoulos, T., Makedon, F., & Karkaletsis, V. (2016, November). Short-Term Recognition of Human Activities Using Convolutional Neural Networks. In Signal-Image Technology & Internet-Based Systems (SITIS), 2016 12th International Conference on (pp. 302-307). IEEE.
Papakostas, M., Siantikos, G., Giannakopoulos, T., Spyrou, E., & Sgouropoulos, D. (2017). Recognizing Emotional States Using Speech Information. In GeNeDis 2016 (pp. 155-164). Springer, Cham.
Tsiakas, K., Papakostas, M., Chebaa, B., Ebert, D., Karkaletsis, V., & Makedon, F. (2016, June). An Interactive Learning and Adaptation Framework for Adaptive Robot Assisted Therapy. In Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (p. 40). ACM.
Lioulemes, A., Papakostas, M., Gieser, S. N., Toutountzi, T., Abujelala, M., Gupta, S., ... & Makedon, F. (2016, June). A survey of sensing modalities for human activity, behavior, and physiological monitoring. In Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (p. 16). ACM.
Rajavenkatanarayanan, A., Surathi, Y. V., Babu, A. R., & Papakostas, M. (2016, June). MyoDrive: A new way of interacting with mobile devices. In Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (p. 18). ACM.
[2015]
Giannakopoulos, T., Papakostas, M., Perantonis, S., & Karkaletsis, V. (2015, September). Visual sentiment analysis for brand monitoring enhancement. In Image and Signal Processing and Analysis (ISPA), 2015 9th International Symposium on (pp. 1-6). IEEE.
Papakostas, M., Staud, J., Makedon, F., & Metsis, V. (2015, July). Monitoring breathing activity and sleep patterns using multimodal non-invasive technologies. In Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments (p. 78). ACM.
Papakostas, M., Tsiakas, K., Parde, N., Karkaletsis, V., & Makedon, F. (2015, July). An interactive framework for learning user-object associations through human-robot interaction. In Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments (p. 13). ACM.
Parde, N., Hair, A., Papakostas, M., Tsiakas, K., Dagioglou, M., Karkaletsis, V., & Nielsen, R. D. (2015, July). Grounding the Meaning of Words through Vision and Interactive Gameplay. In IJCAI (pp. 1895-1901).
Parde, N., Papakostas, M., Tsiakas, K., Dagioglou, M., Karkaletsis, V., & Nielsen, R. D. (2015, April). I spy: An interactive game-based approach to multimodal robot learning. In Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence.
Posters
[2018]
Tsiakas, K., Papakostas, M., Ford, J. C., & Makedon, F. (2018, September). Towards a task-driven framework for multimodal fatigue analysis during physical and cognitive tasks. In Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction (p. 18). ACM.
[2016]
Bhattacharya, M., Garikipati, S., Valisekka, M., & Papakostas, M. (2016, June). Genre-Ation: A Music Genre Identification Application. In Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (p. 92). ACM.
Vyas, A., Gopinathan, A., Nimmagadda, M., Papakostas, M., & Makedon, F. (2016, June). CPLAY2: An HCI Game System for the Assessment and Intervention of Children with Cerebral Palsy. In Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (p. 91). ACM.
[2015]
Parde, N., Papakostas, M., Tsiakas, K., & Nielsen, R. D. (2015, January). " Is It Rectangular?" Using I Spy as an Interactive, Game-Based Approach to Multimodal Robot Learning. In AAAI (pp. 4190-4191).
[2014]
Papakostas, M. (2014, May). Greek-language verbal and non-verbal interaction with a philosopher humanoid robot. In Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments (p. 70). ACM.