Classification Rules Explain Machine Learning. - Matteo Cristani; Francesco Olivieri; Tewabe Chekole Workneh; Luca Pasetto; Claudio Tomazzoli (ICAART (3), 2022)

Impact Logic: Reasoning with resources and losses. - Matteo Cristani; Francesco Olivieri; Luca Pasetto; Claudio Tomazzoli; Tewabe Chekole Workneh (KES, 2022)

Data science appositeness in diabetes mellitus diagnosis for healthcare systems of developing nations. - Mahendra Kumar Gourisaria; Gaurav Jee; Harshvardhan GM; Vijander Singh; Pradeep Kumar Singh 001; Tewabe Chekole Workneh (IET Commun., 2022)

Spatial-Temporal-Cost Combination Based Taxi Driving Fraud Detection for Collaborative Internet of Vehicles. - Xiangjie Kong 001; Bing Zhu; Guojiang Shen; Tewabe Chekole Workneh; Zhanhao Ji; Yang Chen 056; Zhi Liu 009 (IEEE Trans. Ind. Informatics, 2022)

AI-driven quasi-optimal security camera positioning for harbor control. - Claudio Tomazzoli; Matteo Cristani; Tewabe Chekole Workneh; Francesco Olivieri; Simone Scannapieco (KES, 2024)

Data Augmentation for Business Process Alignment: Proof of Concept and Experimental Design. - Matteo Cristani; Mattia Zorzan; Tewabe Chekole Workneh; Claudio Tomazzoli (KES-AMSTA, 2024)

AI-Driven Nitrogen Stress Management in Cereal Crops via Drone Technology. - Hailemicael Lulseged Yimer; Matteo Cristani; Tewabe Chekole Workneh; Claudio Tomazzoli (KES-AMSTA, 2024)

Assessing the Impact of Climate Change on Mineral-Associated Organic Carbon (MAOC) Using Machine Learning Models. - Tewabe Chekole Workneh; Matteo Cristani; Claudio Tomazzoli (AI4CC-IPS-RCRA-SPIRIT@AI*IA, 2024)

Business Process Compliance with impact constraints. - Tewabe Chekole Workneh; Pietro Sala; Romeo Rizzi; Matteo Cristani (Inf. Syst., 2025)