A Knowledge-Based System to Predict Crime from Criminal Records in the Case of Hossana Police Commission. - Betelhem Zewdu Wubineh; Biniyam Yirsaw Metekiya (ICT4DA, 2023)

DCGAN-based Cytology Image Augmentation for Cervical Cancer Cell Classification Using Transfer Learning. - Betelhem Zewdu Wubineh; Lukasz Jelen; Andrzej Rusiecki (CENTERIS/ProjMAN/HCist, 2024)

Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (ICCS (4), 2024)

Review of AI Technologies for Enhancing the Lives of Visually Impaired Individuals: Applications, Outcomes, and Future Directions. - Fitsum Gizachew Deriba; Betelhem Zewdu Wubineh; Mengistu Zenebe Teka (ICT4DA, 2024)

Cervical Cell Segmentation and Classification Using U-Net and Hybrid VGG19-AlexNet Architecture. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (ICT4DA, 2024)

Classifying Dairy Farmers' Knowledge, Attitudes, and Practices towards Aflatoxin Using Bootstrap Oversampling and Machine Learning. - Betelhem Zewdu Wubineh; Sosina Dires Sewunet (ICT4DA, 2024)

Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (IEEE Access, 2024)

Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (Neural Comput. Appl., 2024)

ViT-SE_Res: A Hybrid Vision Transformer and ResNet50V2 with Squeeze-And-Excitation Block for Cervical Cell Classification. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (ICCS (Workshops 2), 2025)

SE-DeepLabV3+: Cervical Cell Segmentation and Classification Using a Novel SE-Based DeepLabV3+ and Ensemble Method. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (IEEE Access, 2025)