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Ioanna Miliou
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2020 – today
- 2024
- [j7]Maria Bampa, Ioanna Miliou, Braslav Jovanovic, Panagiotis Papapetrou:
M-ClustEHR: A multimodal clustering approach for electronic health records. Artif. Intell. Medicine 154: 102905 (2024) - [j6]Zhendong Wang, Isak Samsten, Ioanna Miliou, Rami Mochaourab, Panagiotis Papapetrou:
Glacier: guided locally constrained counterfactual explanations for time series classification. Mach. Learn. 113(7): 4639-4669 (2024) - [j5]Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
Ijuice: integer JUstIfied counterfactual explanations. Mach. Learn. 113(8): 5731-5771 (2024) - [c12]Lena Mondrejevski, Franco Rugolon, Ioanna Miliou, Panagiotis Papapetrou:
MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU. CBMS 2024: 326-331 - [c11]Zhendong Wang, Isak Samsten, Ioanna Miliou, Panagiotis Papapetrou:
COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. CBMS 2024: 502-507 - [e4]Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou:
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14641, Springer 2024, ISBN 978-3-031-58546-3 [contents] - [e3]Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou:
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14642, Springer 2024, ISBN 978-3-031-58555-5 [contents] - [e2]Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 14949, Springer 2024, ISBN 978-3-031-70377-5 [contents] - [e1]Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part X. Lecture Notes in Computer Science 14950, Springer 2024, ISBN 978-3-031-70380-5 [contents] - 2023
- [c10]Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou:
Early prediction of the risk of ICU mortality with Deep Federated Learning. CBMS 2023: 706-711 - [c9]Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou:
ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. DSAA 2023: 1-10 - [c8]Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou:
Counterfactual Explanations for Time Series Forecasting. ICDM 2023: 1391-1396 - [i5]Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou:
Counterfactual Explanations for Time Series Forecasting. CoRR abs/2310.08137 (2023) - 2022
- [j4]Vasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, Luca Pappalardo:
Understanding peace through the world news. EPJ Data Sci. 11(1): 2 (2022) - [c7]Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou:
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CBMS 2022: 32-37 - [c6]Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
JUICE: JUstIfied Counterfactual Explanations. DS 2022: 493-508 - [c5]Stefany Guarnizo, Ioanna Miliou, Panagiotis Papapetrou:
Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors. IDA 2022: 128-142 - [c4]Linyi Zhou, Ioanna Miliou:
Predicting Drug Treatment for Hospitalized Patients with Heart Failure. PKDD/ECML Workshops (2) 2022: 275-290 - [i4]Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou:
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CoRR abs/2205.15104 (2022) - [i3]Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou:
Early prediction of the risk of ICU mortality with Deep Federated Learning. CoRR abs/2212.00554 (2022) - 2021
- [j3]Vasiliki Voukelatou, Lorenzo Gabrielli, Ioanna Miliou, Stefano Cresci, Rajesh Sharma, Maurizio Tesconi, Luca Pappalardo:
Measuring objective and subjective well-being: dimensions and data sources. Int. J. Data Sci. Anal. 11(4): 279-309 (2021) - [j2]Ioanna Miliou, Xinyue Xiong, Salvatore Rinzivillo, Qian Zhang, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Alessandro Vespignani:
Predicting seasonal influenza using supermarket retail records. PLoS Comput. Biol. 17(7) (2021) - [c3]Ioanna Miliou, John Pavlopoulos, Panagiotis Papapetrou:
Sentiment Nowcasting During the COVID-19 Pandemic. DS 2021: 218-228 - [i2]Vasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, Luca Pappalardo:
Understanding peacefulness through the world news. CoRR abs/2106.00306 (2021) - 2020
- [c2]Vasiliki Voukelatou, Luca Pappalardo, Ioanna Miliou, Lorenzo Gabrielli, Fosca Giannotti:
Estimating countries' peace index through the lens of the world news as monitored by GDELT. DSAA 2020: 216-225 - [i1]Ioanna Miliou, Xinyue Xiong, Salvatore Rinzivillo, Qian Zhang, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Alessandro Vespignani:
Predicting seasonal influenza using supermarket retail records. CoRR abs/2012.04651 (2020)
2010 – 2019
- 2018
- [b1]Ioanna Miliou:
Big Data Analytics for Nowcasting and Forecasting Social Phenomena. University of Pisa, Italy, 2018 - 2016
- [j1]Giulio Rossetti, Riccardo Guidotti, Ioanna Miliou, Dino Pedreschi, Fosca Giannotti:
A supervised approach for intra-/inter-community interaction prediction in dynamic social networks. Soc. Netw. Anal. Min. 6(1): 86:1-86:20 (2016) - 2014
- [c1]Ioanna Miliou, Akrivi Vlachou:
Location-Aware Tag Recommendations for Flickr. DEXA (1) 2014: 97-104
Coauthor Index
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last updated on 2024-09-13 01:42 CEST by the dblp team
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