Ioanna Miliou

According to our database, Ioanna Miliou authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Glacier: guided locally constrained counterfactual explanations for time series classification.

Zhendong Wang, Isak Samsten, Ioanna Miliou, Rami Mochaourab, Panagiotis Papapetrou

Mach. Learn., July, 2024

Ijuice: integer JUstIfied counterfactual explanations.

Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou

Mach. Learn., July, 2024

M-ClustEHR: A multimodal clustering approach for electronic health records.

Maria Bampa, Ioanna Miliou, Braslav Jovanovic, Panagiotis Papapetrou

Artif. Intell. Medicine, 2024

SHAP-Driven Explainability in Survival Analysis for Predictive Maintenance Applications.

Monireh Kargar, Zahra Kharazian, Ioanna Miliou, Tony Lindgren

Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting.

Zhendong Wang, Isak Samsten, Ioanna Miliou, Panagiotis Papapetrou

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU.

Lena Mondrejevski, Franco Rugolon, Ioanna Miliou, Panagiotis Papapetrou

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023

Predicting Sepsis Onset with Deep Federated Learning.

Lena Mondrejevski, Daniel Azzopardi, Ioanna Miliou

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Counterfactual Explanations for Time Series Forecasting.

Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou

Proceedings of the IEEE International Conference on Data Mining, 2023

ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces.

Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Early prediction of the risk of ICU mortality with Deep Federated Learning.

Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Understanding peace through the world news.

Vasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, Luca Pappalardo

EPJ Data Sci., 2022

Predicting Drug Treatment for Hospitalized Patients with Heart Failure.

Linyi Zhou, Ioanna Miliou

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors.

Stefany Guarnizo, Ioanna Miliou, Panagiotis Papapetrou

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

JUICE: JUstIfied Counterfactual Explanations.

Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou

Proceedings of the Discovery Science - 25th International Conference, 2022

FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction.

Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

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 Comput. Biol., 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

Int. J. Data Sci. Anal., 2021

Understanding peacefulness through the world news.

Vasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, Luca Pappalardo

CoRR, 2021

Sentiment Nowcasting During the COVID-19 Pandemic.

Ioanna Miliou, John Pavlopoulos, Panagiotis Papapetrou

Proceedings of the Discovery Science - 24th International Conference, 2021

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

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2018

Big Data Analytics for Nowcasting and Forecasting Social Phenomena.

Ioanna Miliou

PhD thesis, 2018

2016

A supervised approach for intra-/inter-community interaction prediction in dynamic social networks.

Giulio Rossetti, Riccardo Guidotti, Ioanna Miliou, Dino Pedreschi, Fosca Giannotti

Soc. Netw. Anal. Min., 2016

2014

Location-Aware Tag Recommendations for Flickr.

Ioanna Miliou, Akrivi Vlachou

Proceedings of the Database and Expert Systems Applications, 2014