001472208 000__ 06097cam\\22006257i\4500 001472208 001__ 1472208 001472208 003__ OCoLC 001472208 005__ 20230908003401.0 001472208 006__ m\\\\\o\\d\\\\\\\\ 001472208 007__ cr\cn\nnnunnun 001472208 008__ 230802s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001472208 020__ $$a9783031390593$$q(electronic bk.) 001472208 020__ $$a3031390598$$q(electronic bk.) 001472208 020__ $$z9783031390586 001472208 0247_ $$a10.1007/978-3-031-39059-3$$2doi 001472208 035__ $$aSP(OCoLC)1391984802 001472208 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP 001472208 049__ $$aISEA 001472208 050_4 $$aQ325.73 001472208 08204 $$a006.3/1$$223/eng/20230802 001472208 1112_ $$aInternational Conference on Deep Learning Theory and Applications$$n(4th :$$d2023 :$$cRome, Italy) 001472208 24510 $$aDeep learning theory and applications :$$b4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings /$$cDonatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone, editors. 001472208 2463_ $$aDeLTA 2023 001472208 264_1 $$aCham :$$bSpringer,$$c2023. 001472208 300__ $$a1 online resource (xvii, 482 pages) :$$billustrations (some color). 001472208 336__ $$atext$$btxt$$2rdacontent 001472208 337__ $$acomputer$$bc$$2rdamedia 001472208 338__ $$aonline resource$$bcr$$2rdacarrier 001472208 4901_ $$aCommunications in computer and information science,$$x1865-0937 ;$$v1875 001472208 500__ $$aIncludes author index. 001472208 5050_ $$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. 001472208 506__ $$aAccess limited to authorized users. 001472208 520__ $$aThis book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding. 001472208 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 1, 2023). 001472208 650_0 $$aDeep learning (Machine learning)$$vCongresses. 001472208 655_0 $$aElectronic books. 001472208 7001_ $$aConte, Donatello,$$eeditor. 001472208 7001_ $$aFred, Ana,$$eeditor. 001472208 7001_ $$aGusikhin, Oleg,$$eeditor. 001472208 7001_ $$aSansone, Carlo,$$d1969-$$eeditor. 001472208 830_0 $$aCommunications in computer and information science ;$$v1875.$$x1865-0937 001472208 852__ $$bebk 001472208 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-39059-3$$zOnline Access$$91397441.1 001472208 909CO $$ooai:library.usi.edu:1472208$$pGLOBAL_SET 001472208 980__ $$aBIB 001472208 980__ $$aEBOOK 001472208 982__ $$aEbook 001472208 983__ $$aOnline 001472208 994__ $$a92$$bISE