Overview

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.

Full Product Details

Author:   Max Bramer ,  Frederic Stahl
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032114013

ISBN 10:   3032114012
Pages:   343
Publication Date:   24 November 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

.- 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.

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