Reducing Missingness in a Stream through Cost-Aware Active Feature Acquisition. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), 2022.
Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis. Sensors, (21)15:4960, MDPI AG, July 2021. URL
Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. In Michael R. Berthold, Ad Feelders, and Georg Krempl (Eds.), Advances in Intelligent Data Analysis XVIII, 1--13, Springer International Publishing, Cham, 2020. URL
Resource management for model learning at entity level. Annals of Telecommunications, (75)9-10:549--561, Springer Science and Business Media LLC, August 2020. URL
Resource management for model learning at entity level. Annals of Telecommunications, Aug 29, 2020. URL
Active feature acquisition on data streams under feature drift.. Ann. des Télécommunications, (75)9-10:597-611, 2020. URL
Active feature acquisition on data streams under feature drift. Annals of Telecommunications, Jul 8, 2020. URL
Active Feature Acquistion for Opinion Stream Classification under Drift. Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2019), 108--111, 2019. URL
Exploiting Entity Information for Stream Classification over a Stream of Reviews. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 564-573, ACM, 2019. URL
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. International Journal of Data Science and Analytics, 2019. URL
Predicting Document Polarities on a Stream without Reading their Contents. Proceedings of the Symposium on Applied Computing (SAC), 2018.
How to Select Information That Matters: A Comparative Study on Active Learning Strategies for Classification. Proc. of the 15th Int. Conf. on Knowledge Technologies and Data-Driven Business (i-KNOW 2015), ACM, 2015. URL