Taye Girma Debelee

According to our database, Taye Girma Debelee authored at least 22 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review.

Degaga Wolde Feyisa, Yehualashet Megersa Ayano, Taye Girma Debelee, Friedhelm Schwenker

Sensors, August, 2023

Machine Learning Based Stroke Segmentation and Classification from CT-Scan: A Survey.

Elbetel Taye Zewde, Mersibon Melese Motuma, Yehualashet Megersa Ayano, Taye Girma Debelee, Degaga Wolde Feyisa

Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

Deep Learning and Machine Learning Techniques for Credit Scoring: A Review.

Hana Demma Wube, Sintayehu Zekarias Esubalew, Firesew Fayiso Weldesellasie, Taye Girma Debelee

Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

DNN-Based Supervised Spontaneous Court Hearing Transcription for Amharic.

Martha Yifiru Tachbelie, Solomon Teferra Abate, Rosa Tsegaye Aga, Rahel Mekonnen, Hiwot Mulugeta, Abel Mulat, Ashenafi Mulat, Solomon Merkebu, Taye Girma Debelee, Worku Gachena

Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

Multitask Deep Convolutional Neural Network with Attention for Pulmonary Tuberculosis Detection and Weak Localization of Pathological Manifestations in Chest X-Ray.

Degaga Wolde Feyisa, Yehualashet Megersa Ayano, Taye Girma Debelee, Samuel Sisay Hailu

Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

Typewritten OCR Model for Ethiopic Characters.

Bereket Siraw Deneke, Rosa Tsegaye Aga, Mesay Samuel, Abel Mulat, Ashenafi Mulat, Abel Abebe, Rahel Mekonnen, Hiwot Mulugeta, Taye Girma Debelee, Worku Gachena

Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

2022

Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning.

Worku Gachena Negera, Friedhelm Schwenker, Taye Girma Debelee, Henock Mulugeta Melaku, Yehualashet Megeresa Ayano

Sensors, 2022

Coffee disease detection using a robust HSV color-based segmentation and transfer learning for use on smartphones.

Fraol Gelana Waldamichael, Taye Girma Debelee, Yehualashet Megersa Ayano

Int. J. Intell. Syst., 2022

Back Cover: International Journal of Intelligent Systems, Volume 37 Issue 8 August 2022.

Fraol Gelana Waldamichael, Taye Girma Debelee, Yehualashet Megersa Ayano

Int. J. Intell. Syst., 2022

Machine Learning in Cereal Crops Disease Detection: A Review.

Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano, Samuel Rahimeto Kebede

Algorithms, 2022

A Multi-input Architecture for the Classification of Skin Lesions Using ResNets and Metadata.

Fraol Gelana Waldamichael, Samuel Rahimeto Kebede, Yehualashet Megersa Ayano, Messay Tesfaye Demissie, Taye Girma Debelee

Proceedings of the Pan-African Conference on Artificial Intelligence - First Conference, 2022

Robust Cough Analysis System for Diagnosis of Tuberculosis Using Artificial Neural Network.

Amsalu Fentie Jember, Yehualashet Megersa Ayano, Taye Girma Debelee

Proceedings of the Pan-African Conference on Artificial Intelligence - First Conference, 2022

Convolution Filter Equivariance/Invariance in Convolutional Neural Networks: A Survey.

Sinshaw Bekele Habte, Achim Ibenthal, Ephrem Tehsale Bekele, Taye Girma Debelee

Proceedings of the Pan-African Conference on Artificial Intelligence - First Conference, 2022

Wheat Yield Prediction Using Machine Learning: A Survey.

Taye Girma Debelee, Samuel Rahimeto Kebede, Fraol Gelana Waldamichael, Daniel Moges Tadesse

Proceedings of the Pan-African Conference on Artificial Intelligence - First Conference, 2022

Deep Learning Models for Audio Processing Applications Under Resource-Constrained Devices: A Survey.

Taye Girma Debelee, Yehualashet Megersa Ayano

Proceedings of the Pan-African Conference on Artificial Intelligence - First Conference, 2022

2021

A Survey of Brain Tumor Segmentation and Classification Algorithms.

Erena Siyoum Biratu, Friedhelm Schwenker, Yehualashet Megersa, Taye Girma Debelee

J. Imaging, 2021

Enhanced Region Growing for Brain Tumor MR Image Segmentation.

Erena Siyoum Biratu, Friedhelm Schwenker, Taye Girma Debelee, Samuel Rahimeto Kebede, Worku Gachena Negera, Hasset Tamirat Molla

J. Imaging, 2021

Automatic pectoral muscle removal in mammograms.

Samuel Rahimeto, Taye Girma Debelee, Dereje Yohannes, Friedhelm Schwenker

Evol. Syst., 2021

2020

Deep Learning in Selected Cancers' Image Analysis - A Survey.

Taye Girma Debelee, Samuel Rahimeto Kebede, Friedhelm Schwenker, Zemene Matewos Shewarega

J. Imaging, 2020

Survey of deep learning in breast cancer image analysis.

Taye Girma Debelee, Friedhelm Schwenker, Achim Ibenthal, Dereje Yohannes

Evol. Syst., 2020

2019

Evaluation of modified adaptive k-means segmentation algorithm.

Taye Girma Debelee, Friedhelm Schwenker, Samuel Rahimeto, Dereje Yohannes

Comput. Vis. Media, 2019

2017

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction.

Taye Girma Debelee, Mohammadreza Amirian, Achim Ibenthal, Günther Palm, Friedhelm Schwenker

Proceedings of the Information and Communication Technology for Development for Africa, 2017