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 Artificial Intelligence and Educational Technologies
Ioannis Hatzilygeroudis, University of Patras
Foteini Grivokostopoulou, University of Patras
Isidoros Perikos, University of Patras
With the current technological innovations, educational systems constitute an important medium in education landscape. Artificial intelligence (AI) can have a substantial impact and greatly enhance the effectiveness and the performance of educational systems. The objective of the workshop is to bring together academic scientists and researchers to exchange and share their experiences and results on all aspects related to the application of artificial intelligent methods and techniques in educational systems. The workshop aims to become a forum for exchanging ideas among researchers who deal with the design and formulation of intelligent methods and techniques and their integration in learning systems. The workshop covers a wide range of topics related to educational systems, including methodologies, technologies, empirical and experimental studies.
4. Architectures for deep learning with convolutional networks (HELICON)
Georgios Drakopoulos, Cloudminers Inc.
Andreas Kanavos, Hellenic Open University and TEI of Western Greece
Phivos-Apostolos Mylonas, Ionion University
Spyros Sioutas, Ionion University
Ioannis E. Venetis, University of Patras
GPU computation is becoming popular, primarily within the scientific computation and machine learning communities. By exploiting the inherent parallelism of numerous treads operating on an array of dedicated special purpose processors, the computations of many deep learning problems can be substantially accelerated, including training a convolutional neural network and locating the optimal topology for a Kohonen map. HELICON 2018 aspires to illustrate the technological potential and the financial benefits of adopting the GPU technology for deep learning purposes through a series of high quality papers.
More info: http://setn2018.upatras.gr/index.php/helicon
5. Robotics in Artificial Intelligence Session
Panos Trahanias, Department of Computer Science, University of Crete
Evangelos Dermatas, Telecommunications & Information Technology, Patras University
Ergina Kavallieratou, Information and Communication Systems Engineering, University of the Aegean
Robots are increasingly used in various application domains. Nowadays are met in factories, hospitals, households, army, etc. This gives rise to new technological challenges and significant research opportunities in developing robots.
The main goal of this session is to show the robotic research and development of new applications. It will also explore the future of robotics with Artificial Intelligence looking for synergies and new promising ideas.
6. Special Session on Quantum Artificial Intelligence (QAI)
Kyriakos Sgarbas, University of Patras, email@example.com
Nikos Konofaos, Aristotle University of Thessaloniki, firstname.lastname@example.org
Ioannis Karafyllidis, Democritus University of Thrace, email@example.com
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/