Artificial Neural Networks and Machine Learning ICANN 2025: 34th International [Paperback]

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9–12, 2025.
The 170 full papers and 8 abstracts included in these conference proceedings were carefully reviewed and selected from 375 submissions. The conference strongly values the synergy between theoretical progress and impactful real-world applications, and actively encourages contributions that demonstrate how artificial neural networks are being used to address pressing societal and technological challenges.

.- HARNet: Human Activity Recognition with Spatial-temporal Features.
.- Wavelet-based Self-image Blending for More General Face Forgery Detection.
.- HCNQA: Enhancing 3D Visual Question-Answering with Hierarchical Concentration Narrowing Supervision.
.- Text-Image Encoder-based Contrastive Regression for AI-Generated Image Quality Assessment.
.- Deblurring with Improved Video Diffusion Model.
.- Understanding Image Classification Prediction with Any Segment Explanation.
.- F2Unet: F-shaped U-Net Architecture for Medical Image Segmentation Combining Fourier Transforms.
.- Efficient Real-Time On-Mobile Video Super-Resolution with Automatic Evolutionary Neural Architecture Search.
.- Swin-DAG-VNet for Fetal Head Segmentation and Elliptical Parameter Regression for Circumference Measurement.
.- GPIS: Geometric Informed Polygon Prompt for Incision Segmentation.
.- Topological Enhancement Learning Module for Segmentation of Complex and Irregular Structures in 3D Medical Imaging.
.- Multi-Representation Adapter with Neural Architecture Search forEfficient Range-Doppler Radar Object Detection.
.- LPSF-LiDARNet: Log-Polar Spatiotemporal FusiolÃ]