Personal vid Högskolan
Abdallah Alabdallah
Postdoctoral Position
( School of Information Technology )
Working with
Research Interests: Artificial Intelligence, Machine Learning, Data Mining, Survival Analysis
Personal
Latest publications
Doktorsavhandling, sammanläggning
Doctoral thesis, comprehensive summary
Towards Trustworthy Survival Analysis with Machine Learning Models
(2025)
Artikel i tidskrift
Article in journal
The Concordance Index Decomposition : A Measure for a Deeper Understanding of Survival Prediction Models
(2024) Published
Konferensbidrag
Conference paper
Improving Concordance Index in Regression-based Survival Analysis : Discovery of Loss Function for Neural Networks
(2024)Understanding Survival Models through Counterfactual Explanations
(2024)Discovering Premature Replacements in Predictive Maintenance Time-to-Event Data
(2023)SurvSHAP : A Proxy-Based Algorithm for Explaining Survival Models with SHAP
(2022)
Licentiatavhandling, sammanläggning
Licentiate thesis, comprehensive summary
Machine Learning Survival Models : Performance and Explainability
(2023)
Manuskript (preprint)
Manuscript (preprint)
Heterogeneous Federated Learning via Personalized Generative Networks
()CoxSE : Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis
()