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2023 |
Tapia, Carlos Gémez |
| State Graph Based Explanation Approach for Black-Box Time Series Model
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2023 |
Huang, Yiran |
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2023 |
Vilone, Giulia |
| The Importance of Distrust in AI
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Peters, Tobias M. |
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Algaba, Andres |
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Bernardi, Giacomo De |
| Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks
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2023 |
Ballout, Mohamad |
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Nguyen, Van Bach |
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Qureshi, Muhammad Deedahwar Mazhar |
| Causal-Based Spatio-Temporal Graph Neural Networks for Industrial Internet of Things Multivariate Time Series Forecasting
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2023 |
Miraki, Amir |
| Towards a Comprehensive Human-Centred Evaluation Framework for Explainable Al
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Donoso-Guzmán, Ivania |
| Concept Distillation in Graph Neural Networks
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2023 |
Magister, Lucie Charlotte |
| Adding Why to What? Analyses of an Everyday Explanation
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2023 |
Terfloth, Lutz |
| Leveraging Group Contrastive Explanations for Handling Fairness
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2023 |
Castelnovo, Alessandro |
| Explainable Machine Learning via Argumentation
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2023 |
Prentzas, Nicoletta |
| Improving Local Fidelity of LIMEby CVAE
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2023 |
Yasui, Daisuke |
| Integrating GPT-Technologies with Decision Models for Explainability
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2023 |
Goossens, Alexandre |
| Evaluating Self-attention Interpretability Through Human-Grounded Experimental Protocol
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2023 |
Bhan, Milan |
| A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI
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2023 |
Schlegel, Udo |
| For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behaviorin xAI
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2023 |
Kuhl, Ulrike |
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