Artificial Intelligence XLII

45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I

AvMax Bramer,Frederic Stahl

Häftad, Engelska, 2025

Del i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-11-24
Mått:155 x 235 x 20 mm
Vikt:557 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:343
Förlag:Springer Nature Switzerland AG
ISBN:9783032114013

Utforska kategorier

Hårdvara inom Data och IT
Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- 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.