Call for papers

The Workshop proceedings will be published in the Springer LNAI series.

ANNPR 2018 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, and unsupervised learning

- Feed-forward, recurrent, and competitive neural nets

- Kernel machines - Hierarchical modular architectures and hybrid systems

- Combination of neural networks and Hidden Markov models

- Multiple classifier systems and ensemble methods

- Probabilistic graphical models

- Deep architectures

Applications to Pattern Recognition

- Image processing and segmntation

- Handwritten recognition and Document analysis

- Sensor-fusion and multi-modal processing

- Feature extraction, dimensionality reduction

- Clustering and vector quantization

- Speech and speaker recognition

- Data, text, and web mining

- Bioinformatics/Cheminformatics

ANNPR2018 is organized by the Technical Committee 3 (IAPR TC3) on Neural Networks & Computational Intelligence of the International Association for Pattern Recognition (IAPR). As such, we particularly encourage submissions that fit the Manifesto and the research directions of the TC3 (see

Do not hesitate to contact the ANNPR2018 Chairs for any inquiries.