Call for Papers

Paper submission will be opened in 2020.

We plan to publish the workshop proceedings in the Springer Lecture Notes in AI series.

ANNPR 2020 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to:

Methodological Issues

– Supervised, partially supervised, unsupervised and reinforcement learning

– Deep learning & deep reinforcement learning

– Feed-forward, recurrent, and convolutional neural networks

– Generative models

– Feature vizualization & explainability of neural networks

– Meta-learning, Auto-ML

Applications to Pattern Recognition

– Image classification and segmentation

– Object detection

– Handwritten recognition and Document analysis

– Sensor-fusion and multi-modal processing

– Speech and speaker recognition and segmentation

– Data, text, and web mining

– Bioinformatics, medical applications

– Quality control and predictive maintenance