12th IAPR TC3 Workshop, ANNPR 2026, Milan, Italy, October 7–9, 2026, Proceedings
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-39027-1
Verlag: Springer
This book constitutes the refereed proceedings of the 12th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2025, held in Milan, Italy, during October 7–9, 2026.
The 40 full papers included in this volume were carefully reviewed and selected from 65 submissions. They focus on work in the areas of neural networks and machine learning oriented to pattern recognition,
focusing on their algorithmic, theoretical, and applied aspects.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
Weitere Infos & Material
,- Benchmarking LLMs for ASA Physical Status Classification from German Anesthesia Records.
.- Effect of Multiple Cross-Validation Solutions on Generalization Abilities.
.- Hyperbolic Graph Representation Learning for Differential Diagnosis on Biomedical Knowledge Graphs.
.- Explaining Country Image Classification through Network Science:Insights into DNN Interpretability.
.- Counterfactual Explanations for Graph Neural Networks in Patient Outcome Prediction.
.- JusDef: Defeasible Message Passing for Exception-Aware Legal Document Classification.
.- LandTalk.AI: Democratizing Archaeological Remote Sensing through Vision-Enabled Large Language Models.
.- Estimating Shortcut Learning and Inductive Bias in Multi-view Behavioural Trace Classification.
.- Deep Inversion of Hybrid Dynamic Probabilistic Graphical Models.
.- HexaWorld: The Role of Grid Geometries in Constrained RL Exploration.
.- Similarity-Based Retrieval of Maya Glyph Signs from Epigraphic Catalogues Using DINOv3 Embeddings.
.- Employing Discrete Fourier Transform in Representation Learning.
.- Exploring Ethnic Bias in Facial Super Resolution via Uncertainty Quantification.
.- Understanding What is Uncertain: Uncertainty Disentanglement in Stereo Depth Estimation.
.- Rerankers in the SHADOW: What Dense Retrieval Leaves Behind.
.- Evaluation of Vision-Language Models for Iris Verification Across Datasets and Representations.
.- MARLON: MARine Litter Object detection.
.- Explainable Multimodal AI for Adaptive Calibration of Archaeological Sensing Workflows.
.- Lost in Translation? Large Language Models Alter Strategic Behaviour When Prompted in Low-Resource Languages.
.- LEAP: Two-Phase Neural Architecture for Tabular Feature Prediction.
.- Multimodal fusion of visual and morphometric features for avian bone classification.
.- How Instruction-Tuning Imparts Length Control: A Cross-Lingual Mechanistic Analysis.
.- Disentangling Model and Human Data Uncertainty in Apparent Facial Age Estimation.
.- LLM-Assisted Character Network Construction and Community Analysis in Late Ottoman Turkish Fiction.
.- Anisotropic Hyper-Grid Coresets for Resource-Constrained Retraining of Visual Defect Classifiers.
.- Automated component testing for agentic AI in medical decision support systems.
.- Language Model Architecture Shapes Brain Alignment and Neuroscientific Inference.
.- Semantic Structure in Large Language Model Disagreement: An Analysis of Representation Spaces in Conspiracy Content Classification.
.- Benchmarking Human Pose Estimators on Anonymized Part-Based Body Representations: Accuracy and Adaptation.
.- A Layer-Wise Mechanistic Analysis of Privacy in Vision Transformer Pose Estimators.
.- Restoring Severely Fragmented Roman Frescoes with Expert-Guided Diffusion Models.
.- Classifying Decorated Pottery by Reshaping Embedding Geometry.
.- SeeAct-VC: Improving Browser Automation Through Complementary Visual Clues.
.- A Pipeline for Large-Scale Archaeological Site Detection: Integrating Remote Sensing Data with Historical Maps.
.- Investigating Spurious Cue Sensitivity in Semantic Segmentation.
.- Pedagogical Knowledge Extraction from Black-Box Classifiers with DiViNE.
.- The Missing Link Between Space Law and Artificial Intelligence: A Position Paper on Explainability for Future Intelligent Space Systems.
.- How Streaming LDA Questions our Progress in Continual Learning with Pretrained Models.
.- From Patch-Centric to Cell-Centric Vision-to-Omics: A Position Paper on Molecular Prediction from Histopathology.
.- The Generalization Gap in Named Entity Recognition: Static Benchmarks Overestimate the Transferable Performance of Neural Pattern Recognizers.
