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Progress in artificial intelligence = 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024 : proceedings.. Part III /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Progress in artificial intelligence/ edited by Manuel Filipe Santos ... [et al.].
其他題名:	23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024 : proceedings.
其他題名:	EPIA 2024
其他作者:	Santos, Manuel Filipe.
團體作者:	Portuguese Conference on Artificial Intelligence
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxvi, 376 p. :ill. (some col.), digital ;24 cm.
內容註:	Generative AI - Foundations and Applications (GenAI) -- Large Language Model for Querying Databases in Portuguese -- A Novel Integration of Federated Learning and LSTM for Synthetic Time Series Generation -- Assessment on the Effectiveness of GitHub Copilot as a Code Assistance Tool: An Empirical Study -- AICIS: A System for Identifying AI Contribution in Textual Content -- Intelligent Robotics (IROBOT) -- AIMSM - A Mechanism to Optimize Systems with Multiple AI Models: A Case Study in Computer Vision for Autonomous Mobile Robots -- Defect Detection in the Painting of Combustion Device Covers using the Deflectometry Method and YOLOv8 -- Information-Oriented and Energy-Aware Path Planning for Small Unmanned Aerial Vehicles -- Pollinationbots - A Swarm Robotic System for Tree Pollination -- Knowledge Discovery and Business Intelligence (KDBI) -- Extensible Data Ingestion System for Industry 4.0 -- Next Location Prediction with Time-Evolving Markov Models over Data Streams -- Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization -- A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities -- A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models -- Optimising Dialogue Flow Discovery -- BI-Enabled Web Visualization of In-Place Inclinometer Data for Geotechnical Applications -- An Empirical Evaluation of DeepAR for Univariate Time Series Forecasting -- Natural Language Processing, Text Mining and Applications (TeMA) -- Meta-prompting Optimized Retrieval-augmented Generation -- Pseudo-Semantic Graphs for Generating Paraphrases -- Compositionality and Ambiguity in Multiword Expressions: A Dataset for the Evaluation of Language Models in Galician -- Bypassing the Nuances of Portuguese Covert Hate Speech through Contextual Analysis -- Sequence Labeling for Pun Location and Detection in Portuguese -- Open Sentence Embeddings for Portuguese with the Serafim PT* Encoders Family -- WordNet Expansion with Bilingual Word Embeddings and Neural Machine Translation -- A Galician-Portuguese Generative Model -- Assessing the Trustworthiness of Large Language Models on Domain-specific Questions -- Data-Centric AI - Solutions and Emerging Technologies (DCenAI) -- Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study -- Chatbot Decision Support with Intent-Rich Structures in the Hospitality Industry -- Meta TadGAN: Time Series Anomaly Detection Using TADGAN with Meta-Features -- Context-aware Deep Forecasting: Principles for the Nation-wide Management of Blood Products.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-73503-5
ISBN:	9783031735035

Progress in artificial intelligence = 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024 : proceedings.. Part III /
Progress in artificial intelligence23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024 : proceedings.Part III /[electronic resource] :EPIA 2024edited by Manuel Filipe Santos ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xxvi, 376 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,149691611-3349 ;. - Lecture notes in computer science ;14969..

Generative AI - Foundations and Applications (GenAI) -- Large Language Model for Querying Databases in Portuguese -- A Novel Integration of Federated Learning and LSTM for Synthetic Time Series Generation -- Assessment on the Effectiveness of GitHub Copilot as a Code Assistance Tool: An Empirical Study -- AICIS: A System for Identifying AI Contribution in Textual Content -- Intelligent Robotics (IROBOT) -- AIMSM - A Mechanism to Optimize Systems with Multiple AI Models: A Case Study in Computer Vision for Autonomous Mobile Robots -- Defect Detection in the Painting of Combustion Device Covers using the Deflectometry Method and YOLOv8 -- Information-Oriented and Energy-Aware Path Planning for Small Unmanned Aerial Vehicles -- Pollinationbots - A Swarm Robotic System for Tree Pollination -- Knowledge Discovery and Business Intelligence (KDBI) -- Extensible Data Ingestion System for Industry 4.0 -- Next Location Prediction with Time-Evolving Markov Models over Data Streams -- Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization -- A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities -- A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models -- Optimising Dialogue Flow Discovery -- BI-Enabled Web Visualization of In-Place Inclinometer Data for Geotechnical Applications -- An Empirical Evaluation of DeepAR for Univariate Time Series Forecasting -- Natural Language Processing, Text Mining and Applications (TeMA) -- Meta-prompting Optimized Retrieval-augmented Generation -- Pseudo-Semantic Graphs for Generating Paraphrases -- Compositionality and Ambiguity in Multiword Expressions: A Dataset for the Evaluation of Language Models in Galician -- Bypassing the Nuances of Portuguese Covert Hate Speech through Contextual Analysis -- Sequence Labeling for Pun Location and Detection in Portuguese -- Open Sentence Embeddings for Portuguese with the Serafim PT* Encoders Family -- WordNet Expansion with Bilingual Word Embeddings and Neural Machine Translation -- A Galician-Portuguese Generative Model -- Assessing the Trustworthiness of Large Language Models on Domain-specific Questions -- Data-Centric AI - Solutions and Emerging Technologies (DCenAI) -- Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study -- Chatbot Decision Support with Intent-Rich Structures in the Hospitality Industry -- Meta TadGAN: Time Series Anomaly Detection Using TADGAN with Meta-Features -- Context-aware Deep Forecasting: Principles for the Nation-wide Management of Blood Products.

The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3-6, 2024. The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections: Volume I: AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS) Volume II: Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI) Volume III: Generative AI - Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI - Solutions and Emerging Technologies (DCenAI)

ISBN: 9783031735035

Standard No.: 10.1007/978-3-031-73503-5doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Progress in artificial intelligence = 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024 : proceedings.. Part III /
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