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Automatic Malware Clustering using Word Embeddings and Unsupervised Learning., , , , , and . IWBF, page 1-6. IEEE, (2019)Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ1 Regularization., , , , , , and . Sensors, 18 (5): 1380 (2018)Can Twitter API Be Bypassed? A New Methodology for Collecting Chronological Information Without Restrictions., , , , , , , and . SoMeT, volume 303 of Frontiers in Artificial Intelligence and Applications, page 453-462. IOS Press, (2018)A Web Scraping Methodology for Bypassing Twitter API Restrictions., , , , , and . CoRR, (2018)Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation., , , , , , and . Sensors, 19 (7): 1746 (2019)Security attack prediction based on user sentiment analysis of Twitter data., , , , , , , and . ICIT, page 610-617. IEEE, (2016)Vehicle Counting in Video Sequences: An Incremental Subspace Learning Approach., , , , , , , , and . Sensors, 19 (13): 2848 (2019)An Efficient Botnet Detection Methodology using Hyper-parameter Optimization Trough Grid-Search Techniques., , , , , and . IWBF, page 1-6. IEEE, (2019)A Semi-supervised Learning Methodology for Malware Categorization using Weighted Word Embeddings., , , , , , and . EuroS&P Workshops, page 238-246. IEEE, (2019)