Call for Papers

Calls for Papers

Authors are invited to electronically submit original, English-language research works to EANN / EAAAI Conference. 

Starting from EANN / EAAAI 2024, the length of the standard paper submission has been increased to 14 PAGES (with references included), formatted according to the well known Springer Lecture Notes in Computer Science (LNCS) series format. 

Please note that the minimum length of submitted papers must be no less than 8 pages. Manuscripts with less than 8 pages long will not be taken into consideration for the Conference and they will immediately be rejected.

Submitted papers must present unpublished work, not being considered for publication in other journals or conferences, while being evaluated for this Conference.

All submitted papers will be evaluated by at least two independent reviewers for quality, correctness, originality, and relevance. Accept/Reject notifications and reviews will be send to all authors that submitted their work via email.

Accepted papers will be included in the Springer CCIS Series Proceedings and they will be available on line.

The Hybrid Conference will provide the authors of all accepted papers with the opportunity to present their paper either Physically (on-site), at the venue of the Conference, or Remotely (on-line)

It is really important to follow the instructions in this page to ensure that your paper will be included in the SPRINGER CCIS Proceedings.

Additional instructions can be found at Paper Submission page of our website.

Based on the reviewers’ comments, on the presentation quality, and after a second peer review process, a number of selected papers will be published in a special issue of a scientific Journal with high Impact Factor.


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.


CCIS volumes are published under CCIS copyright. Authors of each paper must sign the CCIS copyright assignment form and submit it with the final version of their accepted paper. Copyright transfer form will become available to all accepted paper authors after sending acceptance notifications.


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

  • Artificial Neural Networks Spiking
  • Artificial Neural Networks (Multi Layer FF)
  • Accessibility and Computers
  • Adaptive AI architectures
  • Adaptive Control
  • Affective Computing
  • Agent and Multi-Agent Systems
  • AI and Ethical Issues
  • Artificial Intelligence Applications
  • Autonomous and Ubiquitous Computing
  • Bayesian and Echo State Networks
  • Bayesian Models
  • Bioinformatics
  • Biologically Inspired Neural Networks
  • Biomedical systems
  • Coding Architectures Interacting with The Brain
  • Collective Computational Intelligence
  • Colour/Image Analysis
  • Complex Firing Patterns
  • Computational Intelligence
  • Computer Vision
  • Convolutional Neural Networks
  • Crisis and Risk Management
  • Cybersecurity and AI
  • Data Fusion
  • Data Mining and Information Retrieval
  • Decision Support Systems
  • Deep Learning
  • Deep Learning and Big Data
  • Deep Learning and Big Data Analytics
  • Deep Learning and Cybersecurity
  • Deep Learning and Forensics
  • Deep Learning and Real Time Systems
  • Deep Learning and Social Networks
  • Dimensionality Reduction
  • Distributed AI Systems and Architectures
  • eBusiness, eCommerce, eHealth, eLearning
  • Education Intelligent Tutoring
  • Emerging Applications
  • Engineering and Industry
  • Environmental Modelling
  • Evaluation of AI Systems
  • Evolving Systems – Optimization
  • Expert Systems
  • Filtering
  • Finance
  • Forensic Science
  • From Neurons to Neuromorphism
  • From Sensation to Perception
  • From Single Neurons to Networks
  • Fusion
  • Fuzzy Logic and Systems
  • General Engineering AI Applications
  • Genetic Algorithms and Programming
  • Grid-Based Computing
  • Human-Machine Interaction / Presence
  • Hybrid Intelligent systems
  • Information and Optimization
  • Intelligence
  • Intelligent
  • Information Systems
  • Intelligent Music Mining
  • Intelligent Profiling and Personalisation
  • Intelligent Transportation Systems
  • Internet of Things (IoT)
  • Kernel Systems
  • Knowledge Acquisition and Representation
  • Knowledge Engineering
  • Knowledge Management for e-Learning and Enterprise Portals
  • Learning
  • Learning and Adaptive Systems
  • Machine Learning
  • Machine Learning and Cybersecurity
  • Machine Learning and Forensics
  • Machine Learning and Social
  • Machine Learning and Video – Image Processing
  • Machine Learning for BioMedical systems
  • Mathematical Foundations of AI and Intelligent Computational methods
  • Media Machine Learning in Engineering
  • Medical Informatics and Biomedical
  • Movement and Motion
  • Multi agent systems
  • Multi Layer Perceptrons
  • Multilayer Perceptrons and Kernel Networks
  • Multimedia Computing
  • Multimedia Ontologies
  • Multimedia, Graphics and Artificial Natural Language Processing
  • Object and Face Recognition
  • Ontologies
  • Other
  • Particle Swarm Optimisation
  • Pattern Recognition
  • Planning and Resource Management
  • Planning and Scheduling
  • Political Decision Making
  • Process Monitoring and Diagnosis
  • Project Management
  • Reasoning Methods
  • Recommendation Systems
  • Recurrent Neural Networks and Reservoir Computing
  • Risk Modeling
  • Robotics
  • Robotics and Virtual Reality
  • Self Organizing Maps
  • Signal and Image Processing
  • Signal Processing Techniques and  Knowledge Extraction
  • Smart Cities
  • Smart Graphics
  • Smart Grids
  • Social Impact of AI
  • Social Media and AI
  • Speech and Natural Language Processing
  • Speech Synthesis
  • Spiking Dynamics
  • Support Vector Machines
  • Swarm Intelligence and Decision-Making
  • Telecommunications – Transportation
  • Text Mining
  • Theoretical Neural Computation
  • Time Series and Forecasting
  • Training and Learning Inference and Recognition Clustering, Mining and Exploratory Analysis
  • Trends in Computing
  • Unsupervised Machine Learning
  • Web and Knowledge-Based Information Systems
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