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Tsegamlak Terefe Debella
Tsegamlak Terefe Debella
Assistant Professor
Verified email at aait.edu.et - Homepage
Title
Cited by
Cited by
Year
Time series averaging using multi-tasking autoencoder
T Terefe, M Devanne, J Weber, D Hailemariam, G Forestier
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
182020
Hybrid prediction model for mobile data traffic: A cluster-level approach
BS Shawel, TT Debella, G Tesfaye, YY Tefera, DH Woldegebreal
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
132020
A multivariate approach for spatiotemporal mobile data traffic prediction
BS Shawel, E Mare, TT Debella, S Pollin, DH Woldegebreal
Engineering Proceedings 18 (1), 10, 2022
52022
Deep representation learning for cluster-level time series forecasting
TT Debella, BS Shawel, M Devanne, J Weber, DH Woldegebreal, S Pollin, ...
Engineering Proceedings 18 (1), 22, 2022
22022
Entropy estimation and entropy-based encoding of written Amharic language for efficient transmission in telecom networks
T Terefe, D Hailemariam
2017 IEEE AFRICON, 238-244, 2017
22017
Estimating time series averages from latent space of multi-tasking neural networks
T Terefe, M Devanne, J Weber, D Hailemariam, G Forestier
Knowledge and Information Systems 65 (11), 4967-5004, 2023
12023
On the Entropy of Written Afan Oromo
DH Woldegebreal, TT Debella, KD Molla
International Conference on e-Infrastructure and e-Services for Developing …, 2021
12021
Correction: Estimating time series averages from latent space of multi-tasking neural networks
TT Debella, M Devanne, J Weber, DH Woldegebreal, G Forestier
Knowledge and Information Systems 66 (2), 1521-1521, 2024
2024
Compressed Amharic Text: A Prediction by Partial Match Context-Modeling Algorithm
Y Abate Tefera, T Terefe Debella, H Mohammed Hussien, ...
Pan African Conference on Artificial Intelligence, 262-279, 2023
2023
Deep representation learning for time series averaging
TT Debella
Mulhouse, 2022
2022
K-Means Clustering Assisted Spectrum Utilization Prediction with Deep Learning Models
BS Shawel, F Bantigegn, TT Debella, S Pollin, DH Woldegebreal
Engineering Proceedings 18 (1), 2, 2022
2022
Deep Representation Learning for Cluster-Level Time Series Forecasting. Eng. Proc. 2022, 18, 22
TT Debella, BS Shawel, M Devanne, J Weber, DH Woldegebrel, S Pollin, ...
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
Auto-encodeur multi-tâches pour le calcul de moyennes de séries temporelles
T Terefe, M Devanne, J Weber, D Hailemariam, G Forestier
Atelier Apprentissage profond: Théorie et Applications (APTA), Journées …, 2021
2021
Machine Learning for Base Transceiver Stations Power Failure Prediction: A Multivariate Approach
S Ahmed, TT Debella, D Hailemariam
Available at SSRN 4703283, 0
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Articles 1–14