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 |
Interpretable Models via Pairwise Permutations Algorithm
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2021 |
Maasland, Troy |
Migrating Models: A Decentralized View on Federated Learning
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2021 |
Kiss, Péter |
Towards Precomputed 1D-Convolutional Layers for Embedded FPGAs
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2021 |
Einhaus, Lukas |
Towards Mining Generalized Patterns from RDF Data and a Domain Ontology
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2021 |
Martin, Tomas |
Graph Homomorphism Features: Why Not Sample?
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2021 |
Beaujean, Paul |
Continuous-Discrete Recurrent Kalman Networks for Irregular Time Series
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2021 |
Schirmer, Mona |