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 submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding.
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 Parkinsons 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.
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