The official CFP can be downloaded here, including all deadlines and details. Do not hesitate to contact the ANNPR2022 Chairs for any inquiries. Contacts
ANNPR 2022 is being planned as an in-presence event, and we encourage prospective attendees to join us in Dubai. However, due to the status of the ongoing Covid-19 pandemic, remote presentations and attendance will also be accommodated.
Scope
ANNPR 2022 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, semi-supervised, unsupervised, and reinforcement learning
- Deep learning and deep reinforcement learning
- Feed-forward, recurrent, and convolutional neural networks
- Hierarchical modular architectures and hybrid systems
- Interpretability and explainability of neural networks
- Generative models
- Robustness & generalization of neural networks
- Meta-learning, Auto-ML
- Multiple classifier systems and ensemble methods
- Kernel machines
- Probabilistic graphical models
Applications to Pattern Recognition:
- Image processing and segmentation
- Object detection
- NLP and conversational agents
- Sensor-fusion and multi-modal processing
- Biometrics, including speech and speaker recognition and segmentation
- Data, text, and social media analytics
- Bioinformatics/Cheminformatics and medical applications
- Industrial applications, e.g. quality control and predictive maintenance
- Data clustering
The proceedings of the ANNPR 2022 will be published in the Lecture Notes in Artificial Intelligence (LNAI) series. LNAI volumes are indexed in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science; Scopus; EI Engineering Index; Google Scholar; DBLP; etc.
