1. Natural Language Processing for Social Media Analysis
Iosif Mporas, University of Hertfordshire, UK
Vasiliki Simaki, Lancaster University, UK
Carita Paradis, Lund University, Sweden
Andreas Kerren, Linnaeus University, Sweden
Michael Paraskevas, CTI Diophantus, Greece
The exploitation of natural language from social media data is an intriguing task in the fields of text mining and natural language processing (NLP), with plenty of applications in social sciences and social media analytics. In this special session, we call for research papers in the broader field of NLP techniques for social media analysis. The topics of interest include (but are not limited to): sentiment analysis in social media and beyond (e.g. stance identification, sarcasm detection, opinion mining), computational sociolinguistics (e.g., identification of demographic information such as gender, age), and NLP tools for social media mining (e.g., topic modelling for social media data, text categorization and clustering for social media, social media visual analytics).
More info: http://setn2018.upatras.gr/nlp4sma-2018
2. Intelligent Biomedical Systems and Applications
Konstantinos Moustakas, Associate Professor, University of Patras
Vasileios Megalooikonomou, Professor, University of Patras
Christos Makris, Associate Professor, University of Patras
Recent advances in computing, archiving and communication technologies have resulted in an outbreak of available biomedical data of multiple heterogeneous sources. Processing, data mining and rendering of meaningful information has become a challenge of interdisciplinary nature. Moreover, the significant advances in computational medicine add one more dimension of information to be analyzed, related to the simulated evaluation of deterministic or stochastic computational models.
The scope of the special session is to provide a platform for new ideas, achievements and implementations in the field of intelligent biomedical systems and applications. Researchers are invited to submit their work following the same schedule as for the main SETN 2018 conference.
3. Special Session on Quantum Artificial Intelligence (QAI)
Kyriakos Sgarbas, University of Patras, firstname.lastname@example.org
Nikos Konofaos, Aristotle University of Thessaloniki, email@example.com
Ioannis Karafyllidis, Democritus University of Thrace, firstname.lastname@example.org
The recent developments in quantum computing hardware have inspired several researchers to focus in the creation of new quantum algorithms to address complex problems that were difficult to confront via classical computation. Artificial Intelligence is a huge compedium of such complex problems. A great deal of classical AI algorithms are handicaped by the “combinatorial explosion” effect and until now were used only in combination with problem-specific heuristics, in order to reduce the amount of computation. On the other hand, recent quantum computing architectures have indicated great potential, especially in the areas of optimization, constraint satisfaction and machine learning. It is now more than evident that quantum computing and artificial intelligence can merge in a new scientific and technological domain, i.e. Quantum Artificial Intelligence, thus several research laboratories with this name have begun to emerge worldwide. The purpose of this Special Session is to present recent research in quantum computing and especially quantum architectures and quantum algorithms for artificial intelligence, machine learning, constraint satisfaction, optimization, and related areas.
More info: http://setn2018.upatras.gr/index.php/qai/