Get started
Author

Tsegamlak Terefe Debella

Observed names: Debella, Tsegamlak Terefe, Terefe, Tsegamlak, Tsegamlak T. Debella, Tsegamlak Terefe
ORCID: 0000-0002-8585-9716
Observed ORCID: 0000-0002-8585-9716
OpenAlex ID: A5075711857
Hybrid Prediction Model for Mobile Data Traffic: A Cluster-level Approach
2020 · Bethelhem S. Shawel, Tsegamlak T. Debella, et al. · 19
Time Series Averaging Using Multi-Tasking Autoencoder
2020 · Tsegamlak Terefe, Maxime Devanne, et al. · Proceedings - International Conference on Tools with Artificial Intelligence, TAI · 16
A Multivariate Approach for Spatiotemporal Mobile Data Traffic Prediction
2022 · Bethelhem S. Shawel, Endale Mare, et al. · International Conference on Time Series and Forecasting (ITISE) · 10
PDF
Entropy estimation and entropy-based encoding of written Amharic language for efficient transmission in telecom networks
2017 · Tsegamlak Terefe, Dereje Hailemariam · IEEE AFRICON · 6
Deep Representation Learning for Cluster-Level Time Series Forecasting
2022 · Tsegamlak T. Debella, Bethelhem S. Shawel, et al. · International Conference on Time Series and Forecasting (ITISE) · 5
PDF
Hidden Markov models for predicting cell-level mobile networks performance degradation
2024 · Amel Salem Omer, Abera Dibaba Tufa, et al. · e-Prime - Advances in Electrical Engineering Electronics and Energy · 3
Machine learning for base transceiver stations power failure prediction: A multivariate approach
2024 · Sofia Ahmed, Tsegamlak Terefe, et al. · e-Prime - Advances in Electrical Engineering Electronics and Energy · 2
Correction: Estimating time series averages from latent space of multi-tasking neural networks
2023 · Tsegamlak Terefe Debella, Maxime Devanne, et al. · Knowledge and Information Systems · 2
PDF
Deep Learning-Powered Equalization with Autoencoders for Improved 5G Communication
2025 · Adomeas Asfaw Tafere, Tewodros Seble Hailemariam, et al. · IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) · 1
Estimating time series averages from latent space of multi-tasking neural networks
2023 · Tsegamlak Terefe, Maxime Devanne, et al. · Knowledge and Information Systems · 1
PDF
On the Entropy of Written Afan Oromo
2022 · Dereje Hailemariam Woldegebreal, Tsegamlak Terefe Debella, et al. · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 1
Compressed Amharic Text: A Prediction by Partial Match Context-Modeling Algorithm
2024 · Yalemsew Abate Tefera, Tsegamlak Terefe Debella, et al. · Communications in computer and information science
Apprentissage en profondeur des représentations pour la moyenne des séries chronologiques
2022 · Debella, Tsegamlak Terefe · theses.fr (ABES)
Deep representation learning for time series averaging
2022 · Tsegamlak Terefe Debella
K-Means Clustering Assisted Spectrum Utilization Prediction with Deep Learning Models
2022 · Bethelhem S. Shawel, Frehiwot Bantigegn, et al. · International Conference on Time Series and Forecasting (ITISE)
PDF
Auto-encodeur multi-tâches pour le calcul de moyennes de séries temporelles
2021 · Terefe, Tsegamlak, Devanne, Maxime, et al. · HAL (Le Centre pour la Communication Scientifique Directe)
Works count: 16
Citation count: 66
H-index: 5
I10-index: 3
Year
Topic
Type