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ORCIDDMLE/IOTSTREAMING@PKDD/ECML 2018: Dublin, Ireland
- Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro
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ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. Communications in Computer and Information Science 967, Springer 2019, ISBN 978-3-030-14879-9
Decentralized Machine Learning on the Edge
- Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper:
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. 5-20 - Michael R. Sprague, Amir Jalalirad, Marco Scavuzzo, Catalin Capota, Moritz Neun, Lyman Do, Michael Kopp:
Asynchronous Federated Learning for Geospatial Applications. 21-28 - Pedro Strecht, João Mendes-Moreira, Carlos Soares:
Generalizing Knowledge in Decentralized Rule-Based Models. 29-36 - Linara Adilova, Nathalie Paul, Peter Schlicht:
Introducing Noise in Decentralized Training of Neural Networks. 37-48
3rd Workshop on IoT Large Scale Machine Learning from Data Streams
- Pieter Robberechts, Maarten Bosteels, Jesse Davis, Wannes Meert:
Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver. 55-67 - Peiyu Zou, Shuangtao Yang:
Multimodal Tweet Sentiment Classification Algorithm Based on Attention Mechanism. 68-79 - Jakub Zgraja, João Gama, Michal Wozniak:
Active Learning by Clustering for Drifted Data Stream Classification. 80-90 - Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre:
Self Hyper-parameter Tuning for Stream Recommendation Algorithms. 91-102 - Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu:
Deep Online Storage-Free Learning on Unordered Image Streams. 103-112 - Koceila Abid, Moamar Sayed Mouchaweh, Laurence Cornez:
Fault Prognostics for the Predictive Maintenance of Wind Turbines: State of the Art. 113-125
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