About NiDS Series

NiDS places a special emphasis on the novelties of intelligent systems and on the interdisciplinary research for enabling, supporting and promoting AI in software development. It regroups and promotes high-quality research, creating a forum for challenges and novel advancements in AI to be explored. It triggers an exchange of ideas in this field, reinforcing and expanding the network of researchers, academics, and market representatives. NiDS refers to both experts/researchers and readers in the fields of artificial and computational intelligence in systems, as well as computer science in general, who wish to learn more about the pertinent fields which are strongly related and mutually complementary. 

Topics within the scope of NiDS series include, but are not limited to: 

Adaptive Systems	Intelligent Information Systems
Affective Computing	Intelligent Modeling
Augmented Reality	Machine Learning
Big Data	Medical Informatics
Bioinformatics	Mobile Computing
Cloud Computing	Multi-Agent Systems
Cognitive Systems	Natural Language Processing
Collaborative Learning	Neural Networks
Cybersecurity	Pattern Recognition
Data Analytics	Personalized Systems and Services
Data Mining and Knowledge Extraction	Pervasive Multimedia Systems
Decision Making Systems	Recommender Systems
Deep Learning	Reinforcement Learning
Digital Marketing	Semantic Web Applications
Digital Technology	Sentiment Analysis
Distance Learning	Serious Gaming
E-Commerce	Smart Cities
Educational Data Mining	Smart Grid
E-Learning	Social Media Applications
Environmental Informatics	Social Network Analytics
Expert Systems	Text Mining
Fuzzy Systems	Ubiquitous Computing
Genetic Algorithm Applications	User Modelling
Human-Machine Interaction	Virtual Reality
Information Retrieval	Web Intelligence