Submitted papers must present unpublished work, not being considered for publication in other journals or conferences, while being evaluated for this Conference. 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),
Suggested topics include, but are not limited to, the following:
Action Recognition
Adaptive Systems
Anomaly Detection
Artificial Neural Networks
Autoencoders
Autoregressive models
Bagging
Boosting
ChatBots
Civil Engineering Machine Learning
Classification
Clustering
Constrained Programming
Convolutional Neural Networks
Cyber Security using Deep Learning
Data Mining
Deep Learning
Deep Neural Networks
Dep Belief Neural Networks
Echo State Networks
Engineering Modeling
Ensembles
Environmental Machine Learning Modeling
Facial Recognition
Feature Selection
Fraud Detection
Fuzzy Logic Modeling
Generative Adversarial Networks
Graph Neural Networks
Hybrid Modeling
Image Processing
Industrial Machine Learning systems
Intrusion Detection
k Nearest Neighbors
Learning
Long Short Memory Networks
Machine Learning
Modular Neural Networks
Multi Agent Systems
MultilayerPerceptrons
Natural Language
Optimization Algorithms
Prunning
Radial Basis Functions Networks
Recommendation Systems
Recurrent Neural Networks
Regression
Reiforcement Learning
Residual Networks
Self Organizing Maps
Sentiment Analysis
Speech Recognition
Spiking Neural Networks
Support Vector Machines
Text Mining
Time Series Modeling
Transportation Machine Learning
Video Motion modeling