Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions von Theissler, Andreas, Spinnato, Francesco, Schlegel, Udo, Guidotti, Riccardo

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explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning von Spinner, Thilo, Schlegel, Udo, Schafer, Hanna, El-Assady, Mennatallah

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Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs von Cakmak, Eren, Schlegel, Udo, Jackle, Dominik, Keim, Daniel, Schreck, Tobias

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Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers von Streeb, Dirk, Metz, Yannick, Schlegel, Udo, Schneider, Bruno, El-Assady, Mennatallah, Neth, Hansjorg, Chen, Min, Keim, Daniel A.

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SpatialRugs: A Compact Visualization of Space and Time for Analyzing Collective Movement Data von Buchmüller, Juri F, Schlegel, Udo, Cakmak, Eren, Keim, Daniel, Dimara, Evanthia

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SpatialRugs: A compact visualization of space and time for analyzing collective movement data von Buchmüller, Juri F., Schlegel, Udo, Cakmak, Eren, Keim, Daniel A., Dimara, Evanthia

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PraK Tool: An Interactive Search Tool Based on Video Data Services von Lokoč, Jakub, Vopálková, Zuzana, Stroh, Michael, Buchmueller, Raphael, Schlegel, Udo

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Interactive dense pixel visualizations for time series and model attribution explanations von Schlegel, Udo, Keim, Daniel A

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Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions von Schlegel, Udo, Keim, Daniel A

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A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI von Schlegel, Udo, Keim, Daniel A

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Interactive Counterfactual Generation for Univariate Time Series von Schlegel, Udo, Rauscher, Julius, Keim, Daniel A

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Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series von Schlegel, Udo, Keim, Daniel A, Sutter, Tobias

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Time Series Model Attribution Visualizations as Explanations von Schlegel, Udo, Keim, Daniel A

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ViNNPruner: Visual Interactive Pruning for Deep Learning von Schlegel, Udo, Schiegg, Samuel, Keim, Daniel A

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Interactive dense pixel visualizations for time series and model attribution explanations von Schlegel, Udo, Keim, Daniel A

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Visual Explanations with Attributions and Counterfactuals on Time Series Classification von Schlegel, Udo, Oelke, Daniela, Keim, Daniel A, El-Assady, Mennatallah

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Leveraging Color Channel Independence for Improved Unsupervised Object Detection von Jäckl, Bastian, Metz, Yannick, Schlegel, Udo, Keim, Daniel A, Fischer, Maximilian T

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Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics von Klein, Lukas, Lüth, Carsten T, Schlegel, Udo, Bungert, Till J, El-Assady, Mennatallah, Jäger, Paul F

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A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI von Schlegel, Udo, Keim, Daniel A

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Interactive Counterfactual Generation for Univariate Time Series von Schlegel, Udo, Rauscher, Julius, Keim, Daniel A

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