2024
MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU
Lena Mondrejevski, Franco Rugolon, Ioanna Miliou, Panagiotis Papapetrou
2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), 2024
Comet: Constrained counterfactual explanations for patient glucose multivariate forecasting
Zhendong Wang, Isak Samsten, Ioanna Miliou, Panagiotis Papapetrou
2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), 2024
M-ClustEHR: A multimodal clustering approach for electronic health records
Maria Bampa, Ioanna Miliou, Braslav Jovanovic, Panagiotis Papapetrou
Artificial Intelligence in Medicine, 2024
Ijuice: integer JUstIfied counterfactual explanations
Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou
Machine Learning, 2024
Glacier: guided locally constrained counterfactual explanations for time series classification
Zhendong Wang, Isak Samsten, Ioanna Miliou, Rami Mochaourab, Panagiotis Papapetrou
Machine Learning, 2024
SHAP-Driven Explainability in Survival Analysis for Predictive Maintenance Applications
Monireh Kargar-Sharif-Abad, Zahra Kharazian, Ioanna Miliou, Tony Lindgren
HAII5.0 2024: Embracing Human-Aware AI in Industry 5.0, 2024 (Workshop at ECAI 2024)
2023
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou
IEEE International Conference on Data Mining (ICDM), 2023
ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces
Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou
IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023
Early prediction of the risk of ICU mortality with Deep Federated Learning
Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou
IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023
2022
Understanding peace through the world news
Vasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, Luca Pappalardo
EPJ Data Science, 2022
Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors
Stefany Guarnizo, Ioanna Miliou, Panagiotis Papapetrou
International Symposium on Intelligent Data Analysis (IDA), 2022
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction
Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou
IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), 2022
JUICE: JUstIfied Counterfactual Explanations
Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou
International Conference on Discovery Science, 2022
Predicting Drug Treatment for Hospitalized Patients with Heart Failure
Linyi Zhou, Ioanna Miliou
PharML 2022: Machine Learning for Pharma and Healthcare Applications, 2022(Workshop at ECML PKDD 2022)
2021
Measuring objective and subjective well-being: dimensions and data sources
Vasiliki Voukelatou, Lorenzo Gabrielli, Ioanna Miliou, Stefano Cresci, Rajesh Sharma, Maurizio Tesconi, Luca Pappalardo
International Journal of Data Science and Analytics, 2021
Predicting seasonal influenza using supermarket retail records
Ioanna Miliou, Xinyue Xiong, Salvatore Rinzivillo, Qian Zhang, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Alessandro Vespignani
PLOS Computational Biology, 2021
Sentiment Nowcasting During the COVID-19 Pandemic
Ioanna Miliou, John Pavlopoulos, Panagiotis Papapetrou
International Conference on Discovery Science, 2021
2020
Artificial Intelligence (AI): new developments and innovations applied to e-commerce
Dino Pedreschi, Ioanna Miliou
Study for the committee on the Internal Market and Consumer Protection, Policy Department for Economic, Scientific and Quality of Life Policies, European Parliament, 2020
Estimating countries’ peace index through the lens of the world news as monitored by GDELT
Vasiliki Voukelatou, Luca Pappalardo, Ioanna Miliou, Lorenzo Gabrielli, Fosca Giannotti
International Conference on Data Science and Advanced Analytics (DSAA), 2020