LEADER 06485nam 22006975 450 001 996630870803316 005 20250220173434.0 010 $a9783031735004 010 $a3031735005 024 7 $a10.1007/978-3-031-73500-4 035 $a(MiAaPQ)EBC31783873 035 $a(Au-PeEL)EBL31783873 035 $a(CKB)36584266700041 035 $a(DE-He213)978-3-031-73500-4 035 $a(OCoLC)1472989247 035 $a(EXLCZ)9936584266700041 100 $a20241115d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProgress in Artificial Intelligence $e23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3?6, 2024, Proceedings, Part II /$fedited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (0 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14968 311 08$a9783031734991 311 08$a3031734998 327 $aArtificial Intelligence in Medicine (AIM) -- Synthetic Data for Robust Identification of Typical and Atypical Serotonergic Neurons using Convolutional Neural Networks -- Profiling Atopic Dermatitis Patients Using Decision Tree Classifiers to Anticipate Dupilumab Response -- Modeling Temporal Dynamics in Irregular ICU Data Using MWTA-LSTM -- Evaluating Asthma in Equines with Video Recordings -- Predicting Surgical Site Infections: a Time to Event Approach -- A Study on Automatic Analysis of Handwriting Alterations due to Parkinson?s Disease -- Cervical Cancer Detection in Pap Smear Images -- Automating the Clock Drawing Test with Deep Learning and Saliency Maps -- Acute Pancreatitis Mortality Prediction With Federated Learning -- Predictive Modeling for Medication Administration in Intensive Medicine: A Data-Driven Approach -- Artificial Intelligence in Power and Energy Systems (AIPES) -- A Review of Intelligent Technologies in District Heating Systems -- Intelligent Data Mining on Power Systems: Examples from Case Studies.-Application of a Genetic Algorithm for Optimising the Location of Electric Vehicle Charging Stations -- Retrieval-augmented Generation based Assistant: A Smart Home Case Study -- Dynamic Online Parameter Configuration of Genetic Algorithms using Reinforcement Learning -- Assessing Advanced Computer Vision Techniques in Aerial Imagery: A Case Study on Transmission Tower Identification -- Generative Adversarial Networks for Synthetic Meteorological Data Generation -- Artificial Intelligence in Transportation Systems (AITS) -- Fuel Efficiency Analysis of the Public Transportation System Based on the Gaussian Mixture Model Clustering -- Multi-Agent Based Simulation for Decentralized Electric Vehicle Charging Strategies and their Impacts -- Bi-LSTM Neural Networks for Traffic Flow Prediction: A Comprehensive Analysis -- Imbalance Management on Free-floating VSS: A Multi-agent Model Approach -- Ethics and Responsibility in AI (ERAI) -- GASTeNv2: Generative Adversarial Stress Testing Networks with Gaussian Loss -- A Multidimensional Taxonomy for Recent Trends in Explainable Artificial Intelligence -- Explainability of fMRI Decoding Models can Unveil Insights into Neural Mechanisms Related to Emotions -- Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach -- General AI (GAI) -- Detection and Classification of Spam in Social Media Comments using Artificial Intelligence ? a Case Study -- A Comparative Study of Continual Backprop -- Time Series Data Augmentation as an Imbalanced Learning Problem -- Domain Reductions after Preprocessing: Effects on Dynamic Variable Ordering in Constraint Satisfaction Search -- Efficient Image Search and Retrieval System in Cloud Platforms -- Unveiling Cetacean Voices: Entropy-Powered Spectrogram Denoising for Deep Learning Applications. 330 $aThe 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3?6, 2024. The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections: Volume I: AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS). Volume II: Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI). Volume III: Generative AI ? Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI ? Solutions and Emerging Technologies (DCenAI). 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14968 606 $aArtificial intelligence 606 $aComputer networks 606 $aApplication software 606 $aNatural language processing (Computer science) 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aComputer and Information Systems Applications 606 $aNatural Language Processing (NLP) 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aNatural language processing (Computer science) 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aComputer and Information Systems Applications. 615 24$aNatural Language Processing (NLP). 676 $a006.3 700 $aSantos$b Manuel Filipe$01782737 701 $aMachado$b José$01359348 701 $aNovais$b Paulo$0762363 701 $aCortez$b Paulo$0524960 701 $aMoreira$b Pedro Miguel$01782738 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996630870803316 996 $aProgress in Artificial Intelligence$94309241 997 $aUNISA