TAREKEGN, ADANE NEGA
TAREKEGN, ADANE NEGA
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A review of methods for imbalanced multi-label classification
2021-01-01 Adane Nega Tarekegn, Mario Giacobini, Krzysztof Michalak
Cross-Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi-Label Datasets
2020-01-01 Tarekegn, Adane Nega; Michalak, Krzysztof; Giacobini, Mario
Machine Learning for Modeling the Risk of Frailty Syndrome in the Elderly Population
2020-12-10
Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification
2024-01-01 Tarekegn, Adane Nega; Michalak, Krzysztof; Costa, Giuseppe; Ricceri, Fulvio; Giacobini, Mario
Predictive modeling for frailty conditions in elderly people: machine learning approaches
2020-01-01 Tarekegn A; Ricceri F; Costa G; Ferracin E; Giacobini M
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A review of methods for imbalanced multi-label classification | 2021 | Adane Nega Tarekegn, Mario Giacobini, Krzysztof Michalak | |
| Cross-Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi-Label Datasets | 2020 | Tarekegn, Adane Nega; Michalak, Krzysztof; Giacobini, Mario | |
| Machine Learning for Modeling the Risk of Frailty Syndrome in the Elderly Population | 2020 | - | |
| Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification | 2024 | Tarekegn, Adane Nega; Michalak, Krzysztof; Costa, Giuseppe; Ricceri, Fulvio; Giacobini, Mario | |
| Predictive modeling for frailty conditions in elderly people: machine learning approaches | 2020 | Tarekegn A; Ricceri F; Costa G; Ferracin E; Giacobini M |