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WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media.

, , , and . ICWSM, page 130-139. AAAI Press, (2015)

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Federated Learning for Keyword Spotting., , , , and . ICASSP, page 6341-6345. IEEE, (2019)Algorithmes de bandits pour la collecte d'informations en temps réel dans les réseaux sociaux. (Bandit Algorithms for Data Extraction on Social Media).. Pierre and Marie Curie University, Paris, France, (2017)Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux., , , and . Document Numérique, 18 (2-3): 39-58 (2015)Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks., , and . CoRR, (2020)Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach., , and . ICWSM, page 131-140. AAAI Press, (2016)Policies for Contextual Bandit Problems with Count Payoffs., , and . ICTAI, page 542-549. IEEE Computer Society, (2015)Linear Bandits in Unknown Environments., , and . ECML/PKDD (2), volume 9852 of Lecture Notes in Computer Science, page 282-298. Springer, (2016)Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel., , and . Document Numérique, 19 (2-3): 11-30 (2016)Bandit contextuel pour la capture de données temps réel sur les médias sociaux., , and . CORIA-CIFED, page 57-72. ARIA-GRCE, (2016)Federated Learning for Keyword Spotting., , , , and . CoRR, (2018)