Mohamed Karim Belaid

11 papers Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Uncertainty Quantification in Pairwise Difference Learning for Classification.
Mach. Learn.
Mohamed Karim Belaid, Maximilian Rabus, Eyke Hüllermeier
2024 — conf
Exploring Data Point Interactions: A Dual Representation Approach for Enhanced Machine Learning.
DS (LB)
Mohamed Karim Belaid
2024 J jnl
LossVal: Efficient Data Valuation for Neural Networks.
CoRR
Tim Wibiral, Mohamed Karim Belaid, Maximilian Rabus, Ansgar Scherp
2024 — conf
Pairwise Difference Learning for Classification.
DS (2)
Mohamed Karim Belaid, Maximilian Rabus, Eyke Hüllermeier
2024 J jnl
Pairwise Difference Learning for Classification.
CoRR
Mohamed Karim Belaid, Maximilian Rabus, Eyke Hüllermeier
2023 — conf
Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark.
xAI (2)
Mohamed Karim Belaid, Richard Bornemann, Maximilian Rabus, Ralf Krestel, Eyke Hüllermeier
2023 J jnl
Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2) for KNN models.
CoRR
Mohamed Karim Belaid, Dorra El Mekki, Maximilian Rabus, Eyke Hüllermeier
2022 J jnl
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark.
CoRR
Mohamed Karim Belaid, Eyke Hüllermeier, Maximilian Rabus, Ralf Krestel
2021 J jnl
CrashNet: an encoder-decoder architecture to predict crash test outcomes.
Data Min. Knowl. Discov.
Mohamed Karim Belaid, Maximilian Rabus, Ralf Krestel
2020 J jnl
After All, Only The Last Neuron Matters: Comparing Multi-modal Fusion Functions for Scene Graph Generation.
CoRR
Mohamed Karim Belaid
2019 J jnl
Comparison of Neuronal Attention Models.
CoRR
Mohamed Karim Belaid