Call for papers

Authors are invited to submit electronically original, English-language research contributions or experience reports not concurrently submitted elsewhere. Papers should be no longer than 12 pages formatted according to the LNCS Springer style. The program committee may reject papers that exceed this length on the grounds of length alone. In the spirit of the previous EANN conferences, the paper should concentrate on the application rather than just the algorithm or the theory.

Camera-ready submissions should be corrected by following the remarks of the referees and submitted in zip format including (1) the camera-ready version of the authors’ work in pdf format, (2) the camera-ready version of the authors’ work in editable sources format as well as (3) the Consent to Publish signed in ink and scanned to image file. The results described must be unpublished and must not be under review elsewhere. Submissions must conform to Springer’s LNCS format and should be, including all text, figures, references and appendices: 12 pages for papers accepted as full and 8 pages for papers accepted as short.

Submitted papers will be refereed by at least three reviewers for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the conference and included in the proceedings, which will be published by SPRINGER CCIS “Communications in Computer and Information Science” and they will be available on site. It is important though to follow the instructions in this page to ensure that your paper will be included in the proceedings.

Proposals for Workshops that examine emerging, innovative, or otherwise provocative issues within the conference area are encouraged as well. Workshop proposals should include a 1-2 page summary of the topic and the names and affiliations of 3-4 panelists who have made a commitment to participate. A mix of industry and academic panel members is recommended.

Please submit your Workshop proposals here

Proposals for 90-minute tutorials are also invited on topics within the conference area. Tutorial proposals must be at most 5 pages, they must identify the intended audience, and they must give enough material to provide a sense of what will be covered.

A fully electronic review process is being planned. Technical papers, panel and tutorial proposals should be submitted electronically. In particular, before submitting a paper (in pdf, postscript or MS Word), an author should submit an abstract (in order to get a paper id and a password), whereas panel and tutorial proposals should be sent by email to the PC chair.

A paper may not be included in the proceedings if the requirements are not met, or if the registration fee is not received by the deadline of the submission of the camera-ready.


Suggested topics include, but are not limited to, the following:

  • Adaptive AI architectures
  • AI and Data analytics
  • AI and Image-Video Processing
  • AI and Information Retrieval
  • AI and Music
  • AI application in e-Security
  • AI applications in Energy Grids
  • AI in Social Media
  • AI Prediction
  • AI related Hardware development
  • Bioinformatics
  • Biomedical AI Applications
  • Biomedical engineering
  • Classification
  • Colour, Motion analysis with AI
  • Computer vision
  • Data mining
  • Deep Learning ANN
  • Dimensionality Reduction
  • Education. Intelligent Tutoring
  • Engineering AI Applications
  • Environmental Applications of AI
  • Evolutionary architectures
  • Filtering
  • Fusion
  • Fuzzy Inference Systems
  • Fuzzy logic systems
  • General Engineering AI Applications
  • Genetic Algorithms
  • Hybrid Intelligent systems
  • Innovative AI Algorithms
  • Inteligent Financial Forecasting
  • Inteligent Molecular Biology Engineering
  • Intelligent Adaptive Control
  • Intelligent Adaptive Educational methods
  • Intelligent Agents
  • Intelligent Clustering
  • Intelligent Decision Making
  • Intelligent Financial Engineering
  • Intelligent Thermal Engineering
  • Intelligent Traffic systems
  • Intelligent Transportation Systems
  • Internet of Things AI applications
  • Learning theory
  • Low cost architectures
  • Machine Learning
  • Machine Learning and Big Data
  • Multi agent systems
  • Pattern Recognition
  • Pattern Recognition
  • Process Monitoring and Diagnosis
  • Real Time Intelligence
  • Recommendation systems
  • Reinforcement Learning
  • Risk Modeling
  • Robotics
  • Robotics
  • Self Organizing Maps
  • Signal Processing
  • Smart Cities
  • Spiking ANN
  • Support vectors machines
  • Telecommunications and AI
  • Time Series Analysis
  • Unsupervised Learning
  • Unsupervised Learning (in general)