| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Progress in artificial intelligence/ edited by Manuel Filipe Santos ... [et al.]. |
| Reminder of title: |
23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024 : proceedings. |
| remainder title: |
EPIA 2024 |
| other author: |
Santos, Manuel Filipe. |
| corporate name: |
Portuguese Conference on Artificial Intelligence |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xxvi, 376 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
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 |
| Subject: |
Artificial intelligence - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-73503-5 |
| ISBN: |
9783031735035 |