TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models
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2021 |
Schlegel, Udo |
The Effects of Randomness on the Stability of Node Embeddings
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2021 |
Schumacher, Tobias |
Differentially Private Learning from Label Proportions
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2021 |
Sachweh, Timon |
Enhancing Performance of Occlusion-Based Explanation Methods by a Hierarchical Search Method on Input Images
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2021 |
Behzadi-Khormouji, Hamed |
Post-hoc Counterfactual Generation with Supervised Autoencoder
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2021 |
Guyomard, Victor |
FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
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2021 |
Mohammadi, Hassan Ghasemzadeh |
Design Space Exploration of Time, Energy, and Error Rate Trade-offs for CNNs Using Accuracy-Programmable Instruction Set Processors
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2021 |
Schuster, Armin |
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM Tree
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2021 |
Dang, Chen |
Exploring Cell-Based Neural Architectures for Embedded Systems
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2021 |
van Ipenburg, Ilja |
Homological Time Series Analysis of Sensor Signals from Power Plants
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2021 |
Melodia, Luciano |
Learning a Fair Distance Function for Situation Testing
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2021 |
Lenders, Daphne |
Exploring Counterfactual Explanations for Classification and Regression Trees
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2021 |
Hada, Suryabhan Singh |
Towards Fairness Through Time
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2021 |
Castelnovo, Alessandro |
Filtered States: Active Inference, Social Media and Mental Health
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2021 |
White, Ben |
A Classification of Anomaly Explanation Methods
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2021 |
Tchaghe, Véronne Yepmo |
Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots
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2021 |
Yeh, Andrew |
Reject and Cascade Classifier with Subgroup Discovery for Interpretable Metagenomic Signatures
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2021 |
Queyrel, Maxence |
Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data
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2021 |
Debnath, Ankur |
Ultra-low Power Machinery Fault Detection Using Deep Neural Networks
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2021 |
Nitzsche, Sven |
Neural Maximum Independent Set
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2021 |
Pontoizeau, Thomas |