Publications in 2023

2023

BibSonomy

XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series. Neural Computing and Applications, (35)14:10051--10068, Springer, 2023.

Editorial: Smart mobile data collection in the context of neuroscience, volume II. Frontiers in Neuroscience, (17)2023. URL

WISHFUL - Website Extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage. Information Integration and Web Intelligence: 25th International Conference, IiWAS 2023, Denpasar, Bali, Indonesia, December 4–6, 2023, Proceedings, 20–26, Springer-Verlag, Berlin, Heidelberg, 2023. URL

A cost-based multi-layer network approach for the discovery of patient phenotypes. International Journal of Data Science and Analytics, Springer Science and Business Media LLC, July 2023. URL

Challenges for Active Feature Acquisition and Imputation on Data Streams. Proceedings of the Workshop on Interactive Adaptive Learningco-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023. URL

The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT). Trials, (24)1:472, Springer, 2023.

Human uncertainty in interaction with a machine: establishing a reference dataset. 60th Ilmenau Scientific Colloquium, 2023.

Predicting the chance for being at‐risk of AD based on smartphone data obtained during an everyday wayfinding task in the real world.. 2023.

Productive teaming under uncertainty: when a human and a machine classify objects together. 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 9-14, 2023.

Prediction meets time series with gaps: User clusters with specific usage behavior patterns. Artificial Intelligence in Medicine, 102575, Elsevier BV, May 2023. URL

Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features. In Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, and Pedro H. Abreu (Eds.), Discovery Science, 308-322, Springer Nature Switzerland, 2023.

Inferring Salient Motifs during Learning Experiments. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 245-251, June 2023. URL

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