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Workshop
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ProtoS-ViT: Visual foundation models for sparse self-explainable classifications
Hugues Turbe · Mina Bjelogrlic · Gianmarco Mengaldo · Christian Lovis
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Poster
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Wed 11:00
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[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
Helia Ghasemi · Christina Isaicu · Jesse Wonnink · Andreas Berentzen
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Affinity Event
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CoMRIAD: A Novel Deep Learning-based Neuroimage Analysis Pipeline for Improved Alzheimer’s Disease Detection by Combining Magnetic Resonance Image Planes
Noushath Shaffi · Mufti Mahmud
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Affinity Event
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Tue 11:00
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Lightning Talk: Explainable Machine Learning Approach for Heart Failure Patient Survival Events Prediction
Abdulkerim Mohammed Yibre
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Affinity Event
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Explainable Machine Learning Approach for Heart Failure Patient Survival Events Prediction
Abdulkerim Mohammed Yibre
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Affinity Event
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Out-of-Distribution performance as a proxy metric for graph neural network explainers in the absence of ground-truth explanations
Guadalupe Gonzalez · Chirag Agarwal · Siddharth Betala
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Affinity Event
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Explainable, Generalizable and Responsible AI Model to Triage Emergency Patients
Jemal Abdulkadir Fulli · Berihun Tsega Alemayehu · Omer Yasin · Abubeker Ahmed · Muhammed Sualih
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Affinity Event
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Network Inversion of Convolutional Neural Nets
Pirzada Suhail · Amit Sethi
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Poster
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Wed 11:00
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Reproducibility study of “LICO: Explainable Models with Language-Image Consistency"
Luan Fletcher · Robert van der Klis · Martin Sedlacek · Stefan Vasilev · Christos Athanasiadis
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Poster
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Thu 11:00
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Explaining RL Decisions with Trajectories': A Reproducibility Study
Karim Abdel Sadek · Matteo Nulli · Joan Velja · Jort Vincenti
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Affinity Event
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Explainable and Fair AI Models for Culturally Sensitive Healthcare in Rural Nigeria
Ugochi Okafor · Olubayo Adekanmbi · Anthony Soronnadi
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Poster
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Thu 16:30
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On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"
Jasper Eppink · Floris Six Dijkstra · Wouter Bant · Ádám Divák
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