Deep Learning Theory and Applications 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023, Proceedings /
This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submission...
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| Autor corporatiu: | |
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| Altres autors: | , , , |
| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Edició: | 1st ed. 2023. |
| Col·lecció: | Communications in Computer and Information Science,
1875 |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-3-031-39059-3 |
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Taula de continguts:
- Pervasive AI: (deep) Learning into the Wild
- Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies
- Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost
- Improving Primate Sounds Classification Using Binary Presorting for Deep Learning
- Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes
- Dynamic Prediction of Survival Status in Patients Undergoing Cardiac Catheterization Using a Joint Modeling Approach
- A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection
- An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven
- Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight
- Machine Learning Applied to Speech Recordings for Parkinson’s Disease Recognition
- Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-Trained Networks vs. Training from Scratch
- A Study of Neural Collapse for Text Classification
- Research Data Reusability with Content-Based Recommender System
- MSDeepNet: A Novel Multi-Stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos
- A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data
- Explaining Relation Classification Models with Semantic Extents
- Phoneme-Based Multi-Task Assessment of Affective Vocal Bursts
- Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions
- ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP
- Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language
- Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models
- Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels
- TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity
- Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application
- An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning
- UMLDesigner: An Automatic UML Diagram Design Tool
- Graph Neural Networks for Circuit Diagram Pattern Generation
- Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets
- A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems
- GAN-Powered Model&Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images.-GAN-Based LiDAR Intensity Simulation
- Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes
- FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes
- CSR & Sentiment Analysis: A New Customized Dictionary.