Issue Date | Title | Involved Person(s) |
Oct-2016 | Applied data science : using machine learning for alarm verification : a novel alarm verification service applying various machine learning algorithms can identify false alarms | Stampfli, Jan; Stockinger, Kurt |
2016 | Deep learning for infinite applications in text analytics | Cieliebak, Mark |
2016 | Detecting obfuscated JavaScripts from known and unknown obfuscators using machine learning | Tellenbach, Bernhard; Paganoni, Sergio; Rennhard, Marc |
2016 | Optimising Deep Learning for Infinite Applications in Text Analytics | Cieliebak, Mark |
2016 | Online sequential extreme learning machines for fault detection | Hu, Yang; Fink, Olga; Palme, Thomas |
2016 | Speaker identification and clustering using convolutional neural networks | Lukic, Yanick; Vogt, Carlo; Dürr, Oliver; Stadelmann, Thilo |
2016 | Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweets | Deriu, Jan Milan; Cieliebak, Mark |
2016 | Two machine learning approaches for short-term wind speed time-series prediction | Ak, Ronay; Fink, Olga; Zio, Enrico |
2016 | Single-cell phenotype classification using deep convolutional neural networks | Dürr, Oliver; Sick, Beate |
2016 | Detecting obfuscated JavaScripts using machine learning | Aebersold, Simon; Kryszczuk, Krzysztof; Paganoni, Sergio; Tellenbach, Bernhard; Trowbridge, Timothy |
2016 | Altersgerechtes Webdesign | Seifert, Alexander; Darvishy, Alireza; Roth, Stephan |
2016 | Deep health indicator extraction : a method based on auto-encoders and extreme learning machines | Hu, Yang; Palmé, Thomas; Fink, Olga |
2016 | Adverse drug reaction detection using an adapted sentiment classifier | Uzdilli, Fatih; Cieliebak, Mark; Egger, Dominic |
2016 | Conception de sites web adaptée à l’âge | Seifert, Alexander; Darvishy, Alireza; Roth, Stephan |