Artificial Intelligence XLII

45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I
Herausgegeben:Bramer, Max; Stahl, Frederic

• Broschiertes Buch

Produktbeschreibung

This two-volume set, LNAI 16301 and LNAI 16302, constitutes the refereed proceedings of the 45th SGAI International Conference on Artificial Intelligence, AI 2025, held in Cambridge, UK, during December 16-18, 2025.

The 47 full papers and 20 short papers presented in these two volumes were carefully reviewed and selected from 93 submissions. The papers are grouped into these topical sections:

Part I: Technical Papers; Deep Learning; Large Language Models; Machine Learning; Neural Networks;
Techniques of AI and Short Technical Papers.

Part II: Application Papers; Evolutionary Algorithms; Machine Learning; Neural Networks; Medical Computing and Health Informatics; Large Language Models; Natural Language Processing and Machine Vision; Applications of Artificial Intelligence and Short Application Papers.

Produktdetails

• Lecture Notes in Computer Science 16301
• Verlag: Springer, Berlin; Springer Nature Switzerland; Spring
• Artikelnr. des Verlages: 89550402
• Seitenzahl: 368
• Erscheinungstermin: 24. November 2025
• Englisch
• Abmessung: 235mm x 155mm x 20mm
• Gewicht: 558g
• ISBN-13: 9783032114013
• ISBN-10: 3032114012
• Artikelnr.: 75638844

Inhaltsangabe

.- Technical Papers.
.- DESS: Dimensional-PDFs for Embedding Space Sampling (Best Technical
Paper.
.- Deep Learning.
.- A Hybrid Reasoning System for Visual Arithmetic Learning.
.- NERULA: A Dual-Pathway Self-Supervised Learning Framework for
Electrocardiogram Signal Analysis.
.- This Looks Like That and That and That: Multi-objective Optimization for
Diverse Prototype Learning.
.- Large Language Models.
.- Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity
Bounds on LLM Jailbreaking.
.- Data and Knowledge-Driven Approach for Energy Profiling in Smart
Context-Aware Buildings.
.- Retry and Refine: A Multi-Agent Framework for LLM Based Reliable Unit
Test Generation.
.- English K_Quantization of LLMs Does Not Disproportionately Diminish
Multilingual Performance.
.- Rethinking the Illusion of Thinking.
.- TravQuery: A Customer Support Chatbot based on Retrieval Augmented
Generation (RAG).
.- Machine Learning.
.- 6D Grasp Pose Estimation using Machine Learning with Synthetic Data:
Explainable Grasping with Point Cloud Networks.
.- A New Longitudinal Classification Method Based on Stacking Predictions
for Separate Time Points.
.- Measuring and Comparison of the Energy Consumption of different Machine
Learning Methods.
.- Machine Learning-Enhanced Production Frontier Estimation: An EATBoosting
Variant.
.- A Comparative Study of Feature Selection in Tsetlin Machines.
.- MTL-LungNet: A Unified Model for Nodule Segmentation and Malignancy
Classification.
.- Neural Networks.
.- Two-Stage Graph Convolutional Framework for Pipeline Leak Detection and
Size Identification.
.- TamilSandhi: A Neuro-Symbolic AI toolkit for correcting Sandhi errors in
Tamil.
.- Techniques of AI.
.- Navigating the N-Person Prisoners` Dilemma: From the Tragic Valley to
the Collaborative Hill.
.- Evolutionary Harnessing of Sneak Currents of 1R Memristive Crossbar.
.- Short Technical Papers.
.- Bias Detection in Online Higher Education Texts: Comparing Fine-Tuned
and Zero-Shot LLM Approaches.
.- Enhancing Deepfake Detection with Audio Spectrograms and Siamese
Networks.
.- Learning to Navigate and Track: A Decentralized RL Framework for UAV
Operations in GNSS-Denied Terrain.
.- Dynamic Fusion of Structured Covariates into Deep Signal Backbones.
.- Global Explanations for Imitation Learning.
.- Attention or Convolution? Comparing Modern Architectures for Stress
Detection on BVP Image Encodings.
.- High-Confidence Clustering and Lightweight U-Net for SAR Change
Detection.
.- Towards a Technical Definition of Artificial Intelligence and Machine
Learning Software Systems.