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Publication search results
found 63 matches
- 2021
- Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Martin Grohe, Markus Strohmaier:
The Effects of Randomness on the Stability of Node Embeddings. PKDD/ECML Workshops (1) 2021: 197-215 - Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro:
On the Transferability of Neural Models of Morphological Analogies. PKDD/ECML Workshops (1) 2021: 76-89 - Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes:
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. PKDD/ECML Workshops (1) 2021: 819-829 - Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari:
Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference. PKDD/ECML Workshops (1) 2021: 681-691 - Paul Beaujean, Florian Sikora, Florian Yger:
Graph Homomorphism Features: Why Not Sample? PKDD/ECML Workshops (1) 2021: 216-222 - Hamed Behzadi Khormuji, Habib Rostami:
Enhancing Performance of Occlusion-Based Explanation Methods by a Hierarchical Search Method on Input Images. PKDD/ECML Workshops (1) 2021: 97-104 - William Blanzeisky, Pádraig Cunningham:
Algorithmic Factors Influencing Bias in Machine Learning. PKDD/ECML Workshops (1) 2021: 559-574 - Daniel Burghardt, Pablo Lanillos:
Robot Localization and Navigation Through Predictive Processing Using LiDAR. PKDD/ECML Workshops (1) 2021: 857-864 - Alessandro Castelnovo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Cosentini:
Towards Fairness Through Time. PKDD/ECML Workshops (1) 2021: 647-663 - Zhi Chen, Sarah Tan, Harsha Nori, Kori Inkpen, Yin Lou, Rich Caruana:
Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data. PKDD/ECML Workshops (1) 2021: 534-551 - Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert:
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM Tree. PKDD/ECML Workshops (1) 2021: 258-267 - Ankur Debnath, Nitish Gupta, Govind Waghmare, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora:
Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data. PKDD/ECML Workshops (1) 2021: 306-321 - Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele:
Towards Precomputed 1D-Convolutional Layers for Embedded FPGAs. PKDD/ECML Workshops (1) 2021: 327-338 - Tore Erdmann, Christoph Mathys:
Rule Learning Through Active Inductive Inference. PKDD/ECML Workshops (1) 2021: 715-725 - Kanako Esaki, Tadayuki Matsumura, Kiyoto Ito, Hiroyuki Mizuno:
Sensorimotor Visual Perception on Embodied System Using Free Energy Principle. PKDD/ECML Workshops (1) 2021: 865-877 - Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet:
Co-clustering for Fair Recommendation. PKDD/ECML Workshops (1) 2021: 607-630 - Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet:
Post-hoc Counterfactual Generation with Supervised Autoencoder. PKDD/ECML Workshops (1) 2021: 105-114 - Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Exploring Counterfactual Explanations for Classification and Regression Trees. PKDD/ECML Workshops (1) 2021: 489-504 - Morten Henriksen:
Blankets All the Way up - the Economics of Active Inference. PKDD/ECML Workshops (1) 2021: 763-771 - Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Demystifying Graph Neural Network Explanations. PKDD/ECML Workshops (1) 2021: 67-75 - Niels van Hoeffelen, Pablo Lanillos:
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem. PKDD/ECML Workshops (1) 2021: 843-856 - Andreas Holzinger:
The Next Frontier: AI We Can Really Trust. PKDD/ECML Workshops (1) 2021: 427-440 - Ilja van Ipenburg, Dolly Sapra, Andy D. Pimentel:
Exploring Cell-Based Neural Architectures for Embedded Systems. PKDD/ECML Workshops (1) 2021: 363-374 - Serafina Kamp, Andong Luis Li Zhao, Sindhu Kutty:
Robustness of Fairness: An Experimental Analysis. PKDD/ECML Workshops (1) 2021: 591-606 - Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Explanations for Network Embedding-Based Link Predictions. PKDD/ECML Workshops (1) 2021: 473-488 - Natalie Kastel, Casper Hesp:
Ideas Worth Spreading: A Free Energy Proposal for Cumulative Cultural Dynamics. PKDD/ECML Workshops (1) 2021: 784-798 - Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Habitual and Reflective Control in Hierarchical Predictive Coding. PKDD/ECML Workshops (1) 2021: 830-842 - Péter Kiss, Tomás Horváth:
Migrating Models: A Decentralized View on Federated Learning. PKDD/ECML Workshops (1) 2021: 177-191 - Bernhard Klein, Lisa Kuhn, Johannes Weis, Arne Emmel, Yannik Stradmann, Johannes Schemmel, Holger Fröning:
Towards Addressing Noise and Static Variations of Analog Computations Using Efficient Retraining. PKDD/ECML Workshops (1) 2021: 409-420 - Daphne Lenders, Toon Calders:
Learning a Fair Distance Function for Situation Testing. PKDD/ECML Workshops (1) 2021: 631-646
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