A probabilistic ontological framework for the recognition of multilevel human activities R Helaoui, D Riboni, H Stuckenschmidt Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013 | 153 | 2013 |
User-independent recognition of sports activities from a single wrist-worn accelerometer: A template-matching-based approach J Margarito, R Helaoui, AM Bianchi, F Sartor, AG Bonomi IEEE Transactions on Biomedical Engineering 63 (4), 788-796, 2015 | 136 | 2015 |
SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment D Riboni, C Bettini, G Civitarese, ZH Janjua, R Helaoui Artificial intelligence in medicine 67, 57-74, 2016 | 123 | 2016 |
Recognizing interleaved and concurrent activities: A statistical-relational approach R Helaoui, M Niepert, H Stuckenschmidt 2011 IEEE International Conference on Pervasive Computing and Communications …, 2011 | 109 | 2011 |
Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment D Riboni, C Bettini, G Civitarese, ZH Janjua, R Helaoui 2015 IEEE International Conference on Pervasive Computing and Communications …, 2015 | 90 | 2015 |
Ensembling classical machine learning and deep learning approaches for morbidity identification from clinical notes V Kumar, DR Recupero, D Riboni, R Helaoui IEEE Access 9, 7107-7126, 2020 | 75 | 2020 |
TF-IDF vs word embeddings for morbidity identification in clinical notes: An initial study D Dessi, R Helaoui, V Kumar, DR Recupero, D Riboni arXiv preprint arXiv:2105.09632, 2021 | 40 | 2021 |
Recognizing interleaved and concurrent activities using qualitative and quantitative temporal relationships R Helaoui, M Niepert, H Stuckenschmidt Pervasive and Mobile Computing 7 (6), 660-670, 2011 | 36 | 2011 |
Anno-mi: A dataset of expert-annotated counselling dialogues Z Wu, S Balloccu, V Kumar, R Helaoui, E Reiter, DR Recupero, D Riboni ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 29* | 2022 |
Towards activity recognition using probabilistic description logics R Helaoui, D Riboni, M Niepert, C Bettini, H Stuckenschmidt Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 27 | 2012 |
A statistical-relational activity recognition framework for ambient assisted living systems R Helaoui, M Niepert, H Stuckenschmidt Ambient Intelligence and Future Trends-International Symposium on Ambient …, 2010 | 24 | 2010 |
K-LM: knowledge augmenting in Language Models within the Scholarly Domain V Kumar, DR Recupero, R Helaoui, D Riboni IEEE Access 10, 91802-91815, 2022 | 16 | 2022 |
Techniques for improving turn-based automated counseling to alter behavior AS Harma, R Helaoui US Patent App. 16/360,484, 2019 | 13 | 2019 |
Towards low-resource real-time assessment of empathy in counselling Z Wu, R Helaoui, DR Recupero, D Riboni Proceedings of the Seventh Workshop on Computational Linguistics and …, 2021 | 12* | 2021 |
Probabilistic scoring of validated insights for personal health services A Härmä, R Helaoui 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016 | 9 | 2016 |
Detecting and tracking ongoing topics in psychotherapeutic conversations. I Chaoua, DR Recupero, S Consoli, A Härmä, R Helaoui AIH@ IJCAI, 97-108, 2018 | 8* | 2018 |
Towards a proactive system based on activity recognition R Helaoui 2010 8th IEEE International Conference on Pervasive Computing and …, 2010 | 8 | 2010 |
Towards a generalised framework for behaviour insight mining A Susaiyah, E Reiter, R Helaoui, M Petkovi, A Härmä Proceedings of the First Workshop on Smart Personal Health Interfaces …, 2020 | 7 | 2020 |
Couch potato or gym addict? Semantic lifestyle profiling with wearables and fuzzy knowledge graphs N Díaz-Rodríguez, A Härmä, R Helaoui, I Huitzil, F Bobillo, U Straccia Automatic Knowledge Base Construction (AKBC) Workshop at NIPS, 1-10, 2017 | 7 | 2017 |
Data augmentation for reliability and fairness in counselling quality classification V Kumar, S Balloccu, Z Wu, E Reiter, R Helaoui, D Recupero, D Riboni 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare-SDAIH …, 2023 | 5 | 2023 |