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Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part III / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part III / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (425 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
OjhaVarun
GiesselbachSven PardalosM. Panos UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9783031824876
9783031824869 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Combining EEG oscillation analysis and explainable artificial intelligence for characterizing visuospatial attention. -- Fully automatic meningioma segmentation with nnUNet using T1-weighted contrast-enhanced MR images by leveraging publicly available data and different types of annotations. -- Multimodal Shannon Game with Images. -- On the Role of Activation Functions in EEG-To-Text Decoder. -- INVISIONS: Innovative Neuromorphic Vision Sensors in real-scenarios. -- Path-weight-based Pruning and SHAP-based Explanations of an ANN with fMRI Data. -- Deep learning in a bilateral brain with hemispheric specialisation. -- A compact convolutional neural network for decoding EEG functional connectivity: application to motor imagery. -- Inference of Abstraction for Human-like Probabilistic Reasoning. -- Conformal Prediction for Uncertainty Quantification in Brain Age Estimation using Random Forests Quantile Regression on MRI Features of the HCP Young Adult. -- Emotional Reactions To AI-generated Images: A Pilot Study Using Neuro physiological Measures. -- Exploring Deep Learning Models for EEG Neural Decoding. -- Transfer Learning for the Cognitive Staging Prediction in Alzheimer’s Disease. -- Inference of Abstraction for Human-like Logical Reasoning. -- Sequence Learning with Analog Neuromorphic Multi-Compartment Neurons and On-Chip Structural STDP. -- Understanding Sleep Dynamics Gathered from Wearable Devices with Ex plainable Recurrent Neural Networks. -- Brain morphometry differences across sexes revealed through Explainable Artificial Intelligence: a Human Connectome Project Young Adult study. -- Left/Right brain, human motor control and the implications for robotics. -- Predicting Psychological Well-being in HCP Young Adult Cohort using Ran dom Forests Regression and SHAP with NIHTB Emotion Battery. |
| Record Nr. | UNINA-9910984691403321 |
Nicosia Giuseppe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part I / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part I / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (826 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
OjhaVarun
GiesselbachSven PardalosM. Panos UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9783031824814
9783031824807 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Solving Two-Stage Stochastic Programming problems via Machine Learning. -- Weight-varying Model Predictive Control for Coupled Cyber-Physical Systems: Aerial Grasping Study. -- Assessing the Impact of Government Policies on Covid-19 Spread: A Machine Learning Approach. -- Optimal Design and Implementation of an Open-source Emulation Platform for User-Centric Shared E-mobility Services. -- Protein Sequence Generation using Denoising Probabilistic Diffusion Model. -- Individual Fairness in Generative Text Models. -- Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs. -- Artificial Intelligence and Cyber Security. -- Exploring Digital Health Trends in the Headlines via Knowledge Graph Analysis. -- Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading. -- Optimal risk scores for continuous predictors. -- Post-Treatment Gait Prediction after Botulinum Toxin Injections Using Deep Learning with an Attention Mechanism. -- Leveraging Graph Networks and Generative Adversarial Networks for Controllable Trajectory Prediction. -- Nearest Neighbors Counterfactuals. -- An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning. -- Pattern detection in abnormal district heating data. -- Harnessing Graph Neural Networks for Pattern Classification in Heterogeneous Event Graphs. -- Learn to Create Neighborhoods in Real-World Vehicle Routing Problem. -- PointerKex: A Pointer-based SSH Key Extraction method. -- Addressing The Permutation Flowshop Scheduling with Grey Wolf Optimizer. -- MCGRAN: Multi-Conditional Graph Generation for Neural Architecture Search. -- Generative reward machine for Reinforcement learning for Physical Internet Distribution Centre. -- Between accurate prediction and poor decision making: the AI/ML gap. -- Cross-Metapath based Hashing for Recommendation Systems. -- Beyond Iterative Tuning: Zero-Shot Hyperparameter Optimisation for Decision Trees. -- Augmented Human-AI Forecasting for Ship Refit Project Scheduling: A Predict-then-Optimize Approach. -- Evaluation of Document Deduplication Algorithms for Large Text Corpora. -- Hicks Traverse meets One-Factor SVM: Belief Incoherence Attractors. -- Synthetic Time Series for Anomaly Detection in Cloud Microservices. -- Radiotherapy Treatment Planning: An Integrated Optimization and Reinforcement Learning Approach. -- Leap: Inductive Link Prediction via Learnable Topology Augmentation. -- Estimating Completeness of Consensus Models: Geometrical and Distributional Approaches. -- Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines. -- Clarifying the Fog: Evaluating and Enhancing User Comprehension of Android Data Safety Documents. |
| Record Nr. | UNINA-9910984687903321 |
|
Nicosia Giuseppe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (606 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
OjhaVarun
GiesselbachSven PardalosM. Panos UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9783031824845
9783031824838 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Exploring Explainable Machine Learning for Enhanced Ship Performance Monitoring. -- Identifying Potential Key Point of Sale Customers Using Network Centrality. -- Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning. -- Predicting Multiple Sclerosis Worsening Using Stratification Based and Time Dependent Variables Extracted from Routine Visits Data. -- Predicting University Dropout Rates Using Machine Learning: UniCt case. -- Investigating on Gradient Regularization for Testing Neural Networks. -- SKIE SRL: Structured Key Information Extraction from Business Documents using Statistical Relational Learning. -- Leveraging LLM powered Systems to Accelerate Mycobacterium tuberculosis Research Step One: From Documents to the Vectorstore. -- Vegvisir: Probabilistic model (VAE) for viral T cell epitope prediction. -- Tiny Long Short Term Memory Model for Resource Constrained Prediction of Battery Cycle Life. -- Compact Artificial Neural Network Models for Predicting Protein Residue RNA Base Binding. -- FWin transformer for dengue prediction under climate and ocean influence. -- ENGinnSAND: A Reference Dataset for Monocular Depth Prediction of Line Structures. -- Topological Layering of Mouse Brain Activity in Light Sheet Microscopy Datasets. -- A Constraint Based Savings Algorithm for the Traveling Salesman Problem. -- Gaussian process interpolation with conformal prediction: methods and comparative analysis. -- Using embeddings of pre trained models for cross database dysarthria detection: supervised vs. self supervised approach. -- Personality Profiling for Literary Character Dialogue Agents with Human Level Attributes. -- Integrating Logit Space Embeddings for Reliable Out of Distribution Detection. -- A Computational Framework for Identifying Salient Moments in Motion Capture Data. -- Machine Learning for the Evaluation of the Nephrops Norvegicus Population. -- Enhancing Cluster Based Topic Models through Parametric Dimensionality Reduction with Transformer Encoders. -- Enhancing Arrhythmia Detection Using an Ensemble of Transformer Models for Heartbeat Classification. -- Rapidly Computing Approximate Graph Convex Hulls via FastMap. -- Deep Gaussian mixture model for unsupervised image segmentation. -- Address Classification in E commerce Logistics Using Federated Learning. |
| Record Nr. | UNINA-9910984575703321 |
|
Nicosia Giuseppe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part III / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part III / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (425 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
OjhaVarun
GiesselbachSven PardalosM. Panos UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9783031824876
9783031824869 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Combining EEG oscillation analysis and explainable artificial intelligence for characterizing visuospatial attention. -- Fully automatic meningioma segmentation with nnUNet using T1-weighted contrast-enhanced MR images by leveraging publicly available data and different types of annotations. -- Multimodal Shannon Game with Images. -- On the Role of Activation Functions in EEG-To-Text Decoder. -- INVISIONS: Innovative Neuromorphic Vision Sensors in real-scenarios. -- Path-weight-based Pruning and SHAP-based Explanations of an ANN with fMRI Data. -- Deep learning in a bilateral brain with hemispheric specialisation. -- A compact convolutional neural network for decoding EEG functional connectivity: application to motor imagery. -- Inference of Abstraction for Human-like Probabilistic Reasoning. -- Conformal Prediction for Uncertainty Quantification in Brain Age Estimation using Random Forests Quantile Regression on MRI Features of the HCP Young Adult. -- Emotional Reactions To AI-generated Images: A Pilot Study Using Neuro physiological Measures. -- Exploring Deep Learning Models for EEG Neural Decoding. -- Transfer Learning for the Cognitive Staging Prediction in Alzheimer’s Disease. -- Inference of Abstraction for Human-like Logical Reasoning. -- Sequence Learning with Analog Neuromorphic Multi-Compartment Neurons and On-Chip Structural STDP. -- Understanding Sleep Dynamics Gathered from Wearable Devices with Ex plainable Recurrent Neural Networks. -- Brain morphometry differences across sexes revealed through Explainable Artificial Intelligence: a Human Connectome Project Young Adult study. -- Left/Right brain, human motor control and the implications for robotics. -- Predicting Psychological Well-being in HCP Young Adult Cohort using Ran dom Forests Regression and SHAP with NIHTB Emotion Battery. |
| Record Nr. | UNISA-996647969903316 |
|
Nicosia Giuseppe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (606 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
OjhaVarun
GiesselbachSven PardalosM. Panos UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9783031824845
9783031824838 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Exploring Explainable Machine Learning for Enhanced Ship Performance Monitoring. -- Identifying Potential Key Point of Sale Customers Using Network Centrality. -- Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning. -- Predicting Multiple Sclerosis Worsening Using Stratification Based and Time Dependent Variables Extracted from Routine Visits Data. -- Predicting University Dropout Rates Using Machine Learning: UniCt case. -- Investigating on Gradient Regularization for Testing Neural Networks. -- SKIE SRL: Structured Key Information Extraction from Business Documents using Statistical Relational Learning. -- Leveraging LLM powered Systems to Accelerate Mycobacterium tuberculosis Research Step One: From Documents to the Vectorstore. -- Vegvisir: Probabilistic model (VAE) for viral T cell epitope prediction. -- Tiny Long Short Term Memory Model for Resource Constrained Prediction of Battery Cycle Life. -- Compact Artificial Neural Network Models for Predicting Protein Residue RNA Base Binding. -- FWin transformer for dengue prediction under climate and ocean influence. -- ENGinnSAND: A Reference Dataset for Monocular Depth Prediction of Line Structures. -- Topological Layering of Mouse Brain Activity in Light Sheet Microscopy Datasets. -- A Constraint Based Savings Algorithm for the Traveling Salesman Problem. -- Gaussian process interpolation with conformal prediction: methods and comparative analysis. -- Using embeddings of pre trained models for cross database dysarthria detection: supervised vs. self supervised approach. -- Personality Profiling for Literary Character Dialogue Agents with Human Level Attributes. -- Integrating Logit Space Embeddings for Reliable Out of Distribution Detection. -- A Computational Framework for Identifying Salient Moments in Motion Capture Data. -- Machine Learning for the Evaluation of the Nephrops Norvegicus Population. -- Enhancing Cluster Based Topic Models through Parametric Dimensionality Reduction with Transformer Encoders. -- Enhancing Arrhythmia Detection Using an Ensemble of Transformer Models for Heartbeat Classification. -- Rapidly Computing Approximate Graph Convex Hulls via FastMap. -- Deep Gaussian mixture model for unsupervised image segmentation. -- Address Classification in E commerce Logistics Using Federated Learning. |
| Record Nr. | UNISA-996647969703316 |
|
Nicosia Giuseppe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part I / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part I / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (826 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
OjhaVarun
GiesselbachSven PardalosM. Panos UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9783031824814
9783031824807 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Solving Two-Stage Stochastic Programming problems via Machine Learning. -- Weight-varying Model Predictive Control for Coupled Cyber-Physical Systems: Aerial Grasping Study. -- Assessing the Impact of Government Policies on Covid-19 Spread: A Machine Learning Approach. -- Optimal Design and Implementation of an Open-source Emulation Platform for User-Centric Shared E-mobility Services. -- Protein Sequence Generation using Denoising Probabilistic Diffusion Model. -- Individual Fairness in Generative Text Models. -- Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs. -- Artificial Intelligence and Cyber Security. -- Exploring Digital Health Trends in the Headlines via Knowledge Graph Analysis. -- Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading. -- Optimal risk scores for continuous predictors. -- Post-Treatment Gait Prediction after Botulinum Toxin Injections Using Deep Learning with an Attention Mechanism. -- Leveraging Graph Networks and Generative Adversarial Networks for Controllable Trajectory Prediction. -- Nearest Neighbors Counterfactuals. -- An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning. -- Pattern detection in abnormal district heating data. -- Harnessing Graph Neural Networks for Pattern Classification in Heterogeneous Event Graphs. -- Learn to Create Neighborhoods in Real-World Vehicle Routing Problem. -- PointerKex: A Pointer-based SSH Key Extraction method. -- Addressing The Permutation Flowshop Scheduling with Grey Wolf Optimizer. -- MCGRAN: Multi-Conditional Graph Generation for Neural Architecture Search. -- Generative reward machine for Reinforcement learning for Physical Internet Distribution Centre. -- Between accurate prediction and poor decision making: the AI/ML gap. -- Cross-Metapath based Hashing for Recommendation Systems. -- Beyond Iterative Tuning: Zero-Shot Hyperparameter Optimisation for Decision Trees. -- Augmented Human-AI Forecasting for Ship Refit Project Scheduling: A Predict-then-Optimize Approach. -- Evaluation of Document Deduplication Algorithms for Large Text Corpora. -- Hicks Traverse meets One-Factor SVM: Belief Incoherence Attractors. -- Synthetic Time Series for Anomaly Detection in Cloud Microservices. -- Radiotherapy Treatment Planning: An Integrated Optimization and Reinforcement Learning Approach. -- Leap: Inductive Link Prediction via Learnable Topology Augmentation. -- Estimating Completeness of Consensus Models: Geometrical and Distributional Approaches. -- Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines. -- Clarifying the Fog: Evaluating and Enhancing User Comprehension of Android Data Safety Documents. |
| Record Nr. | UNISA-996647970103316 |
|
Nicosia Giuseppe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning, Optimization, and Data Science [[electronic resource] ] : 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part I / / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science [[electronic resource] ] : 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part I / / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (536 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
OjhaVarun
La MalfaEmanuele La MalfaGabriele PardalosPanos M UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Information technology - Management
Computer networks Electronic digital computers - Evaluation Computer systems Artificial intelligence Machine learning Computer Application in Administrative Data Processing Computer Communication Networks System Performance and Evaluation Computer System Implementation Artificial Intelligence Machine Learning |
| ISBN | 3-031-53969-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning -- Leverage Mathematics? capability to compress and generalize as application of ML Embedding extraction from LLMs and its adaptation in the Automotive Space -- Speeding up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks -- 38 Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets -- A Machine Learning Approach for Source Code Similarity via Graph-focused Features -- Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping -- ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation -- Perceptrons Under Veri able Random Data Corruption -- 104 Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach -- Solving Continuous Optimization Problems with a new Hyperheuristic Framework -- Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text -- Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data -- A FastMap-Based Framework for E ciently Computing Top-K Projected Centrality -- Comparative analysis of machine learning models for time-series forecasting of Escherichia coli contamination in Portuguese shell sh production areas -- The Price of Data Processing Gail Gilboa Freedman -- Reward Shaping for Job Shop Scheduling -- A 3D Terrain Generator: Enhancing Robotics Simulations with GANs -- Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region -- Bilevel Optimization by Conditional Bayesian Optimization -- Few-Shot Learning for Character Recognition in Persian Historical Documents -- ProVolOne ? Protein Volume Prediction Using a Multi-Attention, Multi-Resolution Deep Neural Network and Finite Element Analysis -- A data-driven monitoring approach for diagnosing quality degradation in a glass containerprocess -- Exploring emergent properties of recurrent neural networks using novel energy function formalism -- Co-Imagination of Behaviour & Morphology of Agents -- An Evolutionary Approach to Feature Selection and Classification -- "It Looks All the Same to Me": Cross-index Training for Long-term Financial Series Prediction -- U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration -- Improved Filter-Based Feature Selection Techniques Based on Correlation and Clustering Techniques -- Deep Active Learning with Concept Drifts for detection of Mercury's Bow Shock and Magnetopause Crossings -- Modeling Primacy, Recency, and Cued recall in serial memory task using on-center o -surround recurrent neural network -- Joining Emission Data from Diverse Economical Activity Taxonomies with Evolution Strategies -- GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators -- Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data -- Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning -- Real-Time Emotion Recognition in Online Video Conferences for Medical Consultations -- Attentive perturbation: extending pre x tuning to large language models inner representations -- SoftCut: a fully di erentiable relaxed graph cut approach for deep learning image segmentation. |
| Record Nr. | UNISA-996587861803316 |
|
Nicosia Giuseppe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning, Optimization, and Data Science [[electronic resource] ] : 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science [[electronic resource] ] : 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (503 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
OjhaVarun
La MalfaEmanuele La MalfaGabriele PardalosPanos M UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Information technology - Management
Computer networks Electronic digital computers - Evaluation Computer systems Artificial intelligence Machine learning Computer Application in Administrative Data Processing Computer Communication Networks System Performance and Evaluation Computer System Implementation Artificial Intelligence Machine Learning |
| ISBN | 3-031-53966-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation -- Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code -- Geolocation Risk Scores for Credit Scoring Models -- Social Media Analysis: The Relationship between Private Investors and Stock Price -- Deep learning model of two-phase fluid transport through fractured media: a real-world case study -- A Proximal Algorithm for Network Slimming -- Diversity in deep generative models and generative AI -- Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes -- kolopoly: Case Study on Large Action Spaces in Reinforcement Learning -- Alternating mixed-integer programming and neural network training for approximating stochastic two-stage problems -- Heaviest and densest subgraph computation for binary classification. A case study -- SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization -- Accelerated Graph Integration with Approximation of Combining Parameters -- Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non- Visual Environments: A Comparison -- A hybrid steady-state genetic algorithm for the minimum conflict spanning tree problem -- Reinforcement learning for multi-neighborhood local search in combinatorial optimization -- Evaluation of Selected Autoencoders in the Context of End-User Experience Management -- Application of multi-agent reinforcement learning to the dynamic scheduling problem in manufacturing systems -- Solving Mixed Influence Diagrams by Reinforcement Learning -- Multi-Scale Heat Kernel Graph Network for Graph Classification -- Accelerating Random Orthogonal Search for Global Optimization using Crossover -- A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions -- LSTM noise robustness: a case study for heavy vehicles -- Ensemble Clustering for Boundary Detection in High-Dimensional Data -- Learning Graph Configuration Spaces with Graph Embedding in Engineering Domains -- Towards an Interpretable Functional Image-Based Classifier: Dimensionality -- Reduction of High-Density Di use Optical Tomography Data -- On Ensemble Learning for Mental Workload Classification -- Decision-making over compact preference structures -- User-Like Bots for Cognitive Automation: A Survey -- On Channel Selection for EEG-based Mental Workload Classification -- What Song Am I Thinking Of -- Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data -- Sensitivity Analysis for Feature Importance in Predicting Alzheimer?s Disease -- A Radically New Theory of how the Brain Represents and Computes with Probabilities. |
| Record Nr. | UNISA-996587861903316 |
|
Nicosia Giuseppe
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning, Optimization, and Data Science : 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science : 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (503 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
OjhaVarun
La MalfaEmanuele La MalfaGabriele PardalosPanos M UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Information technology - Management
Computer networks Electronic digital computers - Evaluation Computer systems Artificial intelligence Machine learning Computer Application in Administrative Data Processing Computer Communication Networks System Performance and Evaluation Computer System Implementation Artificial Intelligence Machine Learning |
| ISBN |
9783031539664
3031539664 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation -- Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code -- Geolocation Risk Scores for Credit Scoring Models -- Social Media Analysis: The Relationship between Private Investors and Stock Price -- Deep learning model of two-phase fluid transport through fractured media: a real-world case study -- A Proximal Algorithm for Network Slimming -- Diversity in deep generative models and generative AI -- Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes -- kolopoly: Case Study on Large Action Spaces in Reinforcement Learning -- Alternating mixed-integer programming and neural network training for approximating stochastic two-stage problems -- Heaviest and densest subgraph computation for binary classification. A case study -- SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization -- Accelerated Graph Integration with Approximation of Combining Parameters -- Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non- Visual Environments: A Comparison -- A hybrid steady-state genetic algorithm for the minimum conflict spanning tree problem -- Reinforcement learning for multi-neighborhood local search in combinatorial optimization -- Evaluation of Selected Autoencoders in the Context of End-User Experience Management -- Application of multi-agent reinforcement learning to the dynamic scheduling problem in manufacturing systems -- Solving Mixed Influence Diagrams by Reinforcement Learning -- Multi-Scale Heat Kernel Graph Network for Graph Classification -- Accelerating Random Orthogonal Search for Global Optimization using Crossover -- A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application toVehicles Emissions -- LSTM noise robustness: a case study for heavy vehicles -- Ensemble Clustering for Boundary Detection in High-Dimensional Data -- Learning Graph Configuration Spaces with Graph Embedding in Engineering Domains -- Towards an Interpretable Functional Image-Based Classifier: Dimensionality -- Reduction of High-Density Di use Optical Tomography Data -- On Ensemble Learning for Mental Workload Classification -- Decision-making over compact preference structures -- User-Like Bots for Cognitive Automation: A Survey -- On Channel Selection for EEG-based Mental Workload Classification -- What Song Am I Thinking Of -- Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data -- Sensitivity Analysis for Feature Importance in Predicting Alzheimer?s Disease -- A Radically New Theory of how the Brain Represents and Computes with Probabilities. |
| Record Nr. | UNINA-9910838288603321 |
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Nicosia Giuseppe
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning, Optimization, and Data Science : 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part I / / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
| Machine Learning, Optimization, and Data Science : 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part I / / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton |
| Autore | Nicosia Giuseppe |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (536 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
OjhaVarun
La MalfaEmanuele La MalfaGabriele PardalosPanos M UmetonRenato |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Information technology - Management
Computer networks Electronic digital computers - Evaluation Computer systems Artificial intelligence Machine learning Computer Application in Administrative Data Processing Computer Communication Networks System Performance and Evaluation Computer System Implementation Artificial Intelligence Machine Learning |
| ISBN |
9783031539695
3031539699 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning -- Leverage Mathematics? capability to compress and generalize as application of ML Embedding extraction from LLMs and its adaptation in the Automotive Space -- Speeding up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks -- 38 Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets -- A Machine Learning Approach for Source Code Similarity via Graph-focused Features -- Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping -- ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation -- Perceptrons Under Veri able Random Data Corruption -- 104 Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach -- Solving Continuous Optimization Problems with a new Hyperheuristic Framework.-Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text -- Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data -- A FastMap-Based Framework for E ciently Computing Top-K Projected Centrality -- Comparative analysis of machine learning models for time-series forecasting of Escherichia coli contamination in Portuguese shell sh production areas -- The Price of Data Processing Gail Gilboa Freedman -- Reward Shaping for Job Shop Scheduling -- A 3D Terrain Generator: Enhancing Robotics Simulations with GANs -- Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region -- Bilevel Optimization by Conditional Bayesian Optimization -- Few-Shot Learning for Character Recognition in Persian Historical Documents -- ProVolOne ? Protein Volume Prediction Using a Multi-Attention, Multi-Resolution Deep Neural Network andFinite Element Analysis -- A data-driven monitoring approach for diagnosing quality degradation in a glass containerprocess -- Exploring emergent properties of recurrent neural networks using novel energy function formalism -- Co-Imagination of Behaviour & Morphology of Agents -- An Evolutionary Approach to Feature Selection and Classification -- "It Looks All the Same to Me": Cross-index Training for Long-term Financial Series Prediction -- U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration -- Improved Filter-Based Feature Selection Techniques Based on Correlation and Clustering Techniques -- Deep Active Learning with Concept Drifts for detection of Mercury's Bow Shock and Magnetopause Crossings -- Modeling Primacy, Recency, and Cued recall in serial memory task using on-center o -surround recurrent neural network -- Joining Emission Data from Diverse Economical Activity Taxonomies with Evolution Strategies -- GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators -- Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data -- Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning -- Real-Time Emotion Recognition in Online Video Conferences for Medical Consultations -- Attentive perturbation: extending pre x tuning to large language models inner representations -- SoftCut: a fully di erentiable relaxed graph cut approach for deep learning image segmentation. |
| Record Nr. | UNINA-9910838286703321 |
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Nicosia Giuseppe
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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