Towards the Automatic Identification and Monitoring of Radicalization Activities in Twitter

[1]  Sara Rodríguez,et al.  Adaptive Agent-Based Environment Model to Enable the Teacher to Create an Adaptive Class , 2017, MIS4TEL.

[2]  Juan M. Corchado,et al.  Intelligent business processes composition based on multi-agent systems , 2014, Expert Syst. Appl..

[3]  Fernando de la Prieta,et al.  Twitter User Clustering Based on Their Preferences and the Louvain Algorithm , 2016, PAAMS.

[4]  Zita Vale,et al.  Dynamic Fuzzy Clustering Method for Decision Support in Electricity Markets Negotiation , 2016 .

[5]  Carlos Carrascosa,et al.  Improving human-agent immersion using natural interfaces and CBR , 2015 .

[6]  Sara Rodríguez,et al.  A Hash Based Image Matching Algorithm for Social Networks , 2017, PAAMS.

[7]  Juan M. Corchado,et al.  Organization-Based Multi-agent System of Local Electricity Market: Bottom-Up Approach , 2017, PAAMS.

[8]  L. Blaker.  The Islamic State’s Use of Online Social Media , 2015 .

[9]  Saadi Bin Ahmad Kamaruddin,et al.  Firearm Classification using Neural Networks on Ring of Firing Pin Impression Images , 2013 .

[10]  Fabio Crestani,et al.  Like It or Not , 2016, ACM Comput. Surv..

[11]  Patrick Paroubek,et al.  Twitter as a Corpus for Sentiment Analysis and Opinion Mining , 2010, LREC.

[12]  Juan M. Corchado,et al.  Deep neural networks and transfer learning applied to multimedia web mining , 2017, DCAI.

[13]  Leonor Becerra-Bonache,et al.  Learning, Agents, and Formal Languages: Linguistic Applications of Interdisciplinary Fields , 2015, PAAMS.

[14]  Juan M. Corchado,et al.  Forecasting the probability of finding oil slicks using a CBR system , 2009, Expert Syst. Appl..

[15]  Alfonso González Briones,et al.  Review of the Main Security Problems with Multi-Agent Systems used in E-commerce Applications , 2016 .

[16]  Juan M. Corchado,et al.  Cloud Computing and Multi Agent System to improve Learning Object Paradigm , 2014, IxD&A.

[17]  B. Franz.  Popjihadism: Why Young European Muslims Are Joining the Islamic State , 2015 .

[18]  Bogdan Okreša Ðuri.  Organisational Metamodel for Large-Scale Multi-Agent Systems: First Steps Towards Modelling Organisation Dynamics , 2017, DCAI 2017.

[19]  Ashish Sureka,et al.  Using KNN and SVM Based One-Class Classifier for Detecting Online Radicalization on Twitter , 2015, ICDCIT.

[20]  Tobun Dorbin Ng,et al.  Terrorism and Crime Related Weblog Social Network: Link, Content Analysis and Information Visualization , 2007, 2007 IEEE Intelligence and Security Informatics.

[21]  Marc Cheong,et al.  A microblogging-based approach to terrorism informatics: Exploration and chronicling civilian sentiment and response to terrorism events via Twitter , 2011, Inf. Syst. Frontiers.

[22]  Fan Yu,et al.  Towards large-scale twitter mining for drug-related adverse events , 2012, SHB '12.

[23]  Alan F. Smeaton,et al.  Combining Social Network Analysis and Sentiment Analysis to Explore the Potential for Online Radicalisation , 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

[24]  Fernando de la Prieta,et al.  Multi-agent System for Controlling a Cloud Computing Environment , 2013, EPIA.

[25]  Fernando de la Prieta,et al.  Improving the Distribution of Services in MAS , 2016, PAAMS.