| 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 |
| On the Transferability of Neural Models of Morphological Analogies
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2021 |
Alsaidi, Safa |
| Demystifying Graph Neural Network Explanations
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2021 |
Himmelhuber, Anna |
| Behavior of k-NN as an Instance-Based Explanation Method
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2021 |
Yadav, Chhavi |
| Optimized Federated Learning on Class-Biased Distributed Data Sources
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2021 |
Mou, Yongli |
| Splitting Algorithms for Federated Learning
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2021 |
Malekmohammadi, Saber |
| Approaches to Uncertainty Quantification in Federated Deep Learning
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2021 |
Linsner, Florian |
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