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Tsegamlak T. Debella
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2020 – today
- 2024
- [j2]Tsegamlak Terefe Debella, Maxime Devanne, Jonathan Weber, Dereje Hailemariam Woldegebreal, Germain Forestier:
Correction: Estimating time series averages from latent space of multi-tasking neural networks. Knowl. Inf. Syst. 66(2): 1521 (2024) - 2023
- [j1]Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier:
Estimating time series averages from latent space of multi-tasking neural networks. Knowl. Inf. Syst. 65(11): 4967-5004 (2023) - [c5]Yalemsew Abate Tefera, Tsegamlak Terefe Debella, Habib Mohammed Hussien, Dereje Hailemariam Woldegebreal:
Compressed Amharic Text: A Prediction by Partial Match Context-Modeling Algorithm. PanAfriCon AI (1) 2023: 262-279 - 2022
- [b1]Tsegamlak Terefe Debella:
Deep representation learning for time series averaging. (Apprentissage en profondeur des représentations pour la moyenne des séries chronologiques). University of Upper Alsace, Mulhouse, France, 2022 - 2021
- [c4]Dereje Hailemariam Woldegebreal, Tsegamlak Terefe Debella, Kalkidan Dejenie Molla:
On the Entropy of Written Afan Oromo. AFRICOMM 2021: 25-46 - 2020
- [c3]Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier:
Time Series Averaging Using Multi-Tasking Autoencoder. ICTAI 2020: 1065-1072 - [c2]Bethelhem Seifu Shawel, Tsegamlak T. Debella, Getinet Tesfaye, Yonas Y. Tefera, Dereje H. Woldegebreal:
Hybrid Prediction Model for Mobile Data Traffic: A Cluster-level Approach. IJCNN 2020: 1-8
2010 – 2019
- 2017
- [c1]Tsegamlak Terefe, Dereje Hailemariam:
Entropy estimation and entropy-based encoding of written Amharic language for efficient transmission in telecom networks. AFRICON 2017: 238-244
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last updated on 2024-05-06 20:28 CEST by the dblp team
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