Location-Aware Tag Recommendations for Flickr. - Ioanna Miliou; Akrivi Vlachou (DEXA (1), 2014)

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)

Big Data Analytics for Nowcasting and Forecasting Social Phenomena. - Ioanna Miliou (2018)

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 (DSAA, 2020)

Sentiment Nowcasting During the COVID-19 Pandemic. - Ioanna Miliou; John Pavlopoulos; Panagiotis Papapetrou (DS, 2021)

Understanding peacefulness through the world news. - Vasiliki Voukelatou; Ioanna Miliou; Fosca Giannotti; Luca Pappalardo (CoRR, 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)

Predicting seasonal influenza using supermarket retail records. - Ioanna Miliou; Xinyue Xiong; Salvatore Rinzivillo; Qian Zhang 016; Giulio Rossetti; Fosca Giannotti; Dino Pedreschi; Alessandro Vespignani (PLoS Comput. Biol., 2021)

FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. - Lena Mondrejevski; Ioanna Miliou; Annaclaudia Montanino; David Pitts; Jaakko Hollmén; Panagiotis Papapetrou (CBMS, 2022)

JUICE: JUstIfied Counterfactual Explanations. - Alejandro Kuratomi; Ioanna Miliou; Zed Lee; Tony Lindgren; Panagiotis Papapetrou (DS, 2022)

Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors. - Stefany Guarnizo; Ioanna Miliou; Panagiotis Papapetrou (IDA, 2022)

Predicting Drug Treatment for Hospitalized Patients with Heart Failure. - Linyi Zhou; Ioanna Miliou (PKDD/ECML Workshops (2), 2022)

Understanding peace through the world news. - Vasiliki Voukelatou; Ioanna Miliou; Fosca Giannotti; Luca Pappalardo (EPJ Data Sci., 2022)

Early prediction of the risk of ICU mortality with Deep Federated Learning. - Korbinian Randl; Núria Lladós Armengol; Lena Mondrejevski; Ioanna Miliou (CBMS, 2023)

ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. - Alejandro Kuratomi; Zed Lee; Ioanna Miliou; Tony Lindgren; Panagiotis Papapetrou (DSAA, 2023)

Counterfactual Explanations for Time Series Forecasting. - Zhendong Wang; Ioanna Miliou; Isak Samsten; Panagiotis Papapetrou (ICDM, 2023)

Predicting Sepsis Onset with Deep Federated Learning. - Lena Mondrejevski; Daniel Azzopardi; Ioanna Miliou (PKDD/ECML Workshops (4), 2023)

MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU. - Lena Mondrejevski; Franco Rugolon; Ioanna Miliou; Panagiotis Papapetrou (CBMS, 2024)

COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. - Zhendong Wang; Isak Samsten; Ioanna Miliou; Panagiotis Papapetrou (CBMS, 2024)

SHAP-Driven Explainability in Survival Analysis for Predictive Maintenance Applications. - Monireh Kargar; Zahra Kharazian; Ioanna Miliou; Tony Lindgren (HAII5.0@ECAI, 2024)

M-ClustEHR: A multimodal clustering approach for electronic health records. - Maria Bampa; Ioanna Miliou; Braslav Jovanovic; Panagiotis Papapetrou (Artif. Intell. Medicine, 2024)

Ijuice: integer JUstIfied counterfactual explanations. - Alejandro Kuratomi; Ioanna Miliou; Zed Lee; Tony Lindgren; Panagiotis Papapetrou (Mach. Learn., 2024)

Glacier: guided locally constrained counterfactual explanations for time series classification. - Zhendong Wang; Isak Samsten; Ioanna Miliou; Rami Mochaourab; Panagiotis Papapetrou (Mach. Learn., 2024)