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 | 19 | 2020 |
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 | 19 | 2020 |
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 | 7 | 2022 |
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 | 3 | 2022 |
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 | 3 | 2017 |
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 | 2 | 2023 |
On the entropy of written Afan Oromo DH Woldegebreal, TT Debella, KD Molla International Conference on e-Infrastructure and e-Services for Developing …, 2021 | 2 | 2021 |
Hidden Markov models for predicting cell-level mobile networks performance degradation AS Omer, AD Tufa, TT Debella, DH Woldegebreal e-Prime-Advances in Electrical Engineering, Electronics and Energy 9, 100742, 2024 | 1 | 2024 |
Machine learning for base transceiver stations power failure prediction: A multivariate approach S Ahmed, T Terefe, D Hailemariam e-Prime-Advances in Electrical Engineering, Electronics and Energy 10, 100814, 2024 | | 2024 |
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 Université de Haute Alsace-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 |
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 |