LEADER 06161nam 22007455 450 001 996547971403316 005 20230730144701.0 010 $a3-031-39059-8 024 7 $a10.1007/978-3-031-39059-3 035 $a(MiAaPQ)EBC30669822 035 $a(Au-PeEL)EBL30669822 035 $a(DE-He213)978-3-031-39059-3 035 $a(PPN)272251496 035 $a(EXLCZ)9927895273700041 100 $a20230730d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning Theory and Applications$b[electronic resource] $e4th International Conference, DeLTA 2023, Rome, Italy, July 13?14, 2023, Proceedings /$fedited by Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (496 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1875 311 08$aPrint version: Conte, Donatello Deep Learning Theory and Applications Cham : Springer,c2023 9783031390586 327 $aPervasive 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. 330 $aThis book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1875 606 $aArtificial intelligence 606 $aMachine learning 606 $aApplication software 606 $aData mining 606 $aComputers 606 $aNatural language processing (Computer science) 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aComputer and Information Systems Applications 606 $aData Mining and Knowledge Discovery 606 $aComputing Milieux 606 $aNatural Language Processing (NLP) 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aApplication software. 615 0$aData mining. 615 0$aComputers. 615 0$aNatural language processing (Computer science). 615 14$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aComputer and Information Systems Applications. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputing Milieux. 615 24$aNatural Language Processing (NLP). 676 $a006.3 700 $aConte$b Donatello$01380209 701 $aFred$b Ana$01372767 701 $aGusikhin$b Oleg$01073423 701 $aSansone$b Carlo$01372864 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996547971403316 996 $aDeep Learning Theory and Applications$93421485 997 $aUNISA