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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 II /

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:	xxv, 388 p. :ill. (some col.), digital ;24 cm.
內容註:	Artificial 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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-73500-4
ISBN:	9783031735004

Progress in artificial intelligence = 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024 : proceedings.. Part II /
Progress in artificial intelligence23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024 : proceedings.Part II /[electronic resource] :EPIA 2024edited by Manuel Filipe Santos ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xxv, 388 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,149681611-3349 ;. - Lecture notes in computer science ;14968..

Artificial 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.

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: 9783031735004

Standard No.: 10.1007/978-3-031-73500-4doiSubjects--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 II /
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