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Artificial intelligence XLI44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024 : proceedings.Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence XLIedited by Max Bramer, Frederic Stahl.
Reminder of title:	44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024 : proceedings.
remainder title:	Artificial intelligence 41
other author:	Bramer, Max.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xvii, 361 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-031-77915-2
ISBN:	9783031779152$q(electronic bk.)

Artificial intelligence XLI44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024 : proceedings.Part I /
Artificial intelligence XLI44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024 : proceedings.Part I /[electronic resource] :Artificial intelligence 41edited by Max Bramer, Frederic Stahl. - Cham :Springer Nature Switzerland :2025. - xvii, 361 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,154461611-3349 ;. - Lecture notes in computer science ;4891..

Technical Papers. -- NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition. -- Neural Nets. -- Revealing limitations of ResNet models for deep evaluation in chess. -- Quasi Biologically Plausible Category Learning. -- On the Development of a Pixel-wise Plastic Waste Identification System for Multispectral Remote Sensing Applications. -- Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention. -- LSTM for Modelling and Predictive Control of Multivariable Processes. -- Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction. -- Deep Learning. -- Bitcoin Forecasting using Deep Learning and Time Series Ensemble Techniques. -- TRAPL: Transformer-based Patch Learning For Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution. -- DATE: Derivative Alignment Training for Extrapolation with Neural Networks. -- Interactive Simulator Framework for XAI Applications in Aquatic Environments. -- Detection of vascular leukoencephalopathy in CT images. -- Large Language Models. -- PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings. -- ArgueMapper Assistant: Interactive Argument Mining Using Generative Language Models. -- Machine Learning. -- Contextual Transformers for Goal-Oriented Reinforcement Learning. -- Localized Affinity-based Reinforcement Learning for Interpretable State-specific Decision-making. -- Navigating the Landscape of Case Fidelity and Competence in Case-Based Reasoning. -- Evolutionary and Genetic Algorithms. -- Tree-based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value. -- A Dominance-based Surrogate Classifier for Multi-Objective Evolutionary Algorithms. -- Knowledge Management. -- A Homogeneous Approach to Reasoning Over Global Geographic Data. -- Short Technical Papers. -- OK Google, what is the stock forecast for next week? Leveraging Search Engines for Data Collection, Sentiment Analysis and Stock Predictions. -- University News: A New Data Source for NLP Bias Research. -- Enhancing Nepali Text Understanding with Machine Translation and LoRA Fine-Tuning of Open-Source LLM. -- Audio-visual emotion recognition using Deep Learning methods. -- Spatial interpolation of air quality: A UK Case study. -- Talk like a local: Evaluating Large Language Models for Arabic Dialect Translation Using Similarity Scores. -- On Monadic Binary, with Application to Machine Understanding. -- A Proposed ELM Ensemble Approach for Predicting Railway Delays. -- Semantic Bone Structure Segmentation in 2D Image Data: Towards Total Knee Arthroplasty.

This two-volume set, LNAI 15446 and LNAI 15447, constitutes the refereed proceedings of the 44th SGAI International Conference on Artificial Intelligence, AI 2024, held in Cambridge, UK, during December 17-19, 2024. The 36 full papers and 18 short papers presented in these two volumes were carefully reviewed and selected from 80 submissions. Part I includes papers from the Technical stream, whereas Part II includes papers from the Application stream. These volumes are organized into the following topical sections: - Part I: Neural nets; Deep learning; Large language models; Machine learning; Evolutionary and genetic algorithms; Knowledge management, Short Technical Papers. Part II: Machine vision; Evaluation of AI systems; Applications of machine learning; Other AI applications, Short Application Papers.

ISBN: 9783031779152$q(electronic bk.)

Standard No.: 10.1007/978-3-031-77915-2doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Artificial intelligence XLI44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024 : proceedings.Part I /
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