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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 / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
| Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part II / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira |
| Autore | Santos Manuel Filipe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
MachadoJosé
NovaisPaulo CortezPaulo MoreiraPedro Miguel |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer networks Application software Natural language processing (Computer science) Artificial Intelligence Computer Communication Networks Computer and Information Systems Applications Natural Language Processing (NLP) |
| ISBN |
9783031735004
3031735005 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910983053903321 |
Santos Manuel Filipe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part III / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
| Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part III / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira |
| Autore | Santos Manuel Filipe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (395 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
MachadoJosé
NovaisPaulo CortezPaulo MoreiraPedro Miguel |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer networks Application software Natural language processing (Computer science) Artificial Intelligence Computer Communication Networks Computer and Information Systems Applications Natural Language Processing (NLP) |
| ISBN |
9783031735035
303173503X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910983369803321 |
|
Santos Manuel Filipe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part I / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
| Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part I / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira |
| Autore | Santos Manuel Filipe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (465 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
MachadoJosé
NovaisPaulo CortezPaulo MoreiraPedro Miguel |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer networks Application software Natural language processing (Computer science) Artificial Intelligence Computer Communication Networks Computer and Information Systems Applications Natural Language Processing (NLP) |
| ISBN |
9783031734977
3031734971 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI and Creativity (AIC) -- MI-CCy Quantifier: A Framework for Quantifying Mixed-Initiative Co-Creativity in Human-AI Collaborations -- Automated Detection System for Portuguese Musical Instruments -- Leveraging LLMs for On-the-fly Instruction Guided Image Editing -- Distributing Creative Responsibility Between a Knowledge-Based Content Determiner and a Neural Text Realizer -- ScanType: Evolutionary Letter Finding -- Mixed-initiative Worldbuilding in Speculative Design Experimental Practices -- Expanding Design Horizons: Evolutionary Tool for Parametric Design Exploration with Interactive and CLIP-Based Evaluation -- Evaluation of Lyrics Extraction from Folk Music Sheets Using Vision-Language Models (VLMs) -- Ambient Intelligence and Affective Environments (AmIA) -- Data-Driven Academic Performance Evaluation: A Smart Platform Approach -- Bridging Fashion and Technology: Synthetic Human Models for an Enhanced E-commerce Experience -- A Multi-Agent System Approach with Generative AI for Improved Elderly Daily Living -- Predictive Analytics in Education: A Comparative Analysis of Machine Learning Models for Predicting Student Performance -- Smart Cities as Affective Environments.-Artificial Intelligence and IoT in Agriculture (AIoTA) -- Pruning End-Effectors - State Of The Art Review -- An Apple Counting System Robust to Multiple Intermittent Occlusions.-Data-Driven Digital Twin Based Energy Flexibility Investigation for Commercial Greenhouse Production Process -- Towards a Conversational AI Chatbot to Assist Farmers in Disease Detection -- The Impact of the EU’s AI Act and Data Act on Digital Farming Technologies -- Artificial Intelligence and Law (AIL) -- The Introduction of AI in Healthcare: a Multi-Layered Issue -- Segmentation Model for Judgments of the Portuguese Supreme Court of Justice -- Digital Justice in the EU: Integration of BPMN and AI into ODR Processes.-Transparency vs Explanation: Perspectives from Recent Legal Proceedings -- Detection of Potentially Non-compliant Clauses in Online ToS in Portuguese -- Towards Transparent AI: How AI Act Shape the Future -- Anthropocentric AI for EU Consumer Lending: 'Hacking' Opacity and Discrimination ‘Sins’ Powered by Creditworthiness Machines -- HIRS: A Hybrid Information Retrieval System for Legislative Documents -- Protection of Copyrights in the Era of Generative Artificial Intelligence -- Artificial Intelligence for Industry and Societies (AI4IS) -- Exploration of Computer Vision Systems in the Recognition of Characteristics in Parts in an Industrial Environment -- Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing -- Data Mining Models to Predict Order with Delays: A Textile Case Study.-Comparing Aggregated and Separate Models for Crowd Density Forecasting -- Evaluation of Machine Learning Methods for Fire Risk Assessment from Satellite Imagery -- Geometrically-Informed Tool Recommendation in High-Speed Machining -- A Reinforcement Learning based Recommender System Framework for Web Apps: Radio and Game Aggregators Scenarios. |
| Record Nr. | UNINA-9910983331003321 |
|
Santos Manuel Filipe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part II / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
| Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part II / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira |
| Autore | Santos Manuel Filipe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
MachadoJosé
NovaisPaulo CortezPaulo MoreiraPedro Miguel |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer networks Application software Natural language processing (Computer science) Artificial Intelligence Computer Communication Networks Computer and Information Systems Applications Natural Language Processing (NLP) |
| ISBN |
9783031735004
3031735005 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996630870803316 |
|
Santos Manuel Filipe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part I / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
| Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part I / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira |
| Autore | Santos Manuel Filipe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (465 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
MachadoJosé
NovaisPaulo CortezPaulo MoreiraPedro Miguel |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer networks Application software Natural language processing (Computer science) Artificial Intelligence Computer Communication Networks Computer and Information Systems Applications Natural Language Processing (NLP) |
| ISBN |
9783031734977
3031734971 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI and Creativity (AIC) -- MI-CCy Quantifier: A Framework for Quantifying Mixed-Initiative Co-Creativity in Human-AI Collaborations -- Automated Detection System for Portuguese Musical Instruments -- Leveraging LLMs for On-the-fly Instruction Guided Image Editing -- Distributing Creative Responsibility Between a Knowledge-Based Content Determiner and a Neural Text Realizer -- ScanType: Evolutionary Letter Finding -- Mixed-initiative Worldbuilding in Speculative Design Experimental Practices -- Expanding Design Horizons: Evolutionary Tool for Parametric Design Exploration with Interactive and CLIP-Based Evaluation -- Evaluation of Lyrics Extraction from Folk Music Sheets Using Vision-Language Models (VLMs) -- Ambient Intelligence and Affective Environments (AmIA) -- Data-Driven Academic Performance Evaluation: A Smart Platform Approach -- Bridging Fashion and Technology: Synthetic Human Models for an Enhanced E-commerce Experience -- A Multi-Agent System Approach with Generative AI for Improved Elderly Daily Living -- Predictive Analytics in Education: A Comparative Analysis of Machine Learning Models for Predicting Student Performance -- Smart Cities as Affective Environments.-Artificial Intelligence and IoT in Agriculture (AIoTA) -- Pruning End-Effectors - State Of The Art Review -- An Apple Counting System Robust to Multiple Intermittent Occlusions.-Data-Driven Digital Twin Based Energy Flexibility Investigation for Commercial Greenhouse Production Process -- Towards a Conversational AI Chatbot to Assist Farmers in Disease Detection -- The Impact of the EU’s AI Act and Data Act on Digital Farming Technologies -- Artificial Intelligence and Law (AIL) -- The Introduction of AI in Healthcare: a Multi-Layered Issue -- Segmentation Model for Judgments of the Portuguese Supreme Court of Justice -- Digital Justice in the EU: Integration of BPMN and AI into ODR Processes.-Transparency vs Explanation: Perspectives from Recent Legal Proceedings -- Detection of Potentially Non-compliant Clauses in Online ToS in Portuguese -- Towards Transparent AI: How AI Act Shape the Future -- Anthropocentric AI for EU Consumer Lending: 'Hacking' Opacity and Discrimination ‘Sins’ Powered by Creditworthiness Machines -- HIRS: A Hybrid Information Retrieval System for Legislative Documents -- Protection of Copyrights in the Era of Generative Artificial Intelligence -- Artificial Intelligence for Industry and Societies (AI4IS) -- Exploration of Computer Vision Systems in the Recognition of Characteristics in Parts in an Industrial Environment -- Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing -- Data Mining Models to Predict Order with Delays: A Textile Case Study.-Comparing Aggregated and Separate Models for Crowd Density Forecasting -- Evaluation of Machine Learning Methods for Fire Risk Assessment from Satellite Imagery -- Geometrically-Informed Tool Recommendation in High-Speed Machining -- A Reinforcement Learning based Recommender System Framework for Web Apps: Radio and Game Aggregators Scenarios. |
| Record Nr. | UNISA-996630871503316 |
|
Santos Manuel Filipe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part III / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
| Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part III / / edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira |
| Autore | Santos Manuel Filipe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (395 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
MachadoJosé
NovaisPaulo CortezPaulo MoreiraPedro Miguel |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer networks Application software Natural language processing (Computer science) Artificial Intelligence Computer Communication Networks Computer and Information Systems Applications Natural Language Processing (NLP) |
| ISBN |
9783031735035
303173503X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996630866603316 |
|
Santos Manuel Filipe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||