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ORCID4th DeLTA 2023: Rome, Italy
- Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone
:
Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings. Communications in Computer and Information Science 1875, Springer 2023, ISBN 978-3-031-39058-6 - Tertsegha J. Anande, Mark S. Leeson:
Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost. 1-18 - Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien:
Improving Primate Sounds Classification Using Binary Presorting for Deep Learning. 19-34 - Nour Habib, Yunsu Cho, Abhishek Buragohain, Andreas Rausch:
Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes. 35-55 - Derun Xia, Yi-An Ko, Shivang Desai, Arshed A. Quyyumi:
Dynamic Prediction of Survival Status in Patients Undergoing Cardiac Catheterization Using a Joint Modeling Approach. 56-70 - Akshay Menon, Abubakr Siddig, Cristina Hava Muntean, Pramod Pathak, Musfira Jilani, Paul Stynes:
A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection. 71-83 - Siddhant Singh, Archit Thanikella:
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. 84-100 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. 101-114 - Rahul Kumar, Md. Kamruzzaman Sarker, Sheikh Rabiul Islam:
Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-trained Networks vs. Training from Scratch. 115-125 - Jia Hui Feng, Edmund M.-K. Lai, Weihua Li:
A Study of Neural Collapse for Text Classification. 126-142 - Mohammad Amin Yazdi, Marius Politze, Benedikt Heinrichs:
Research Data Reusability with Content-Based Recommender System. 143-156 - Prabhu Prasad Dev, Pranesh Das, Raju Hazari:
MSDeepNet: A Novel Multi-stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos. 157-172 - Sirvan Parasteh, Samira Sadaoui:
A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data. 173-188 - Lars Klöser, André Büsgen, Philipp Kohl, Bodo Kraft, Albert Zündorf:
Explaining Relation Classification Models with Semantic Extents. 189-208 - Tobias Hallmen, Silvan Mertes, Dominik Schiller, Florian Lingenfelser, Elisabeth André:
Phoneme-Based Multi-task Assessment of Affective Vocal Bursts. 209-222 - Maya Trutschl, Urska Cvek, Marjan Trutschl:
Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions. 223-234 - Philipp Kohl, Nils Freyer, Yoka Krämer, Henri Werth, Steffen Wolf, Bodo Kraft, Matthias Meinecke, Albert Zündorf:
ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP. 235-253 - Konstantin Bogdanoski, Kostadin Mishev, Monika Simjanoska, Dimitar Trajanov:
Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language. 254-268 - Alexander V. Smirnov, Nikolay Shilov, Andrew Ponomarev:
Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models. 269-279 - Abdallah Amine Melakhsou, Mireille Batton-Hubert:
Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels. 280-294 - Daniele Margiotta, Danilo Croce, Roberto Basili:
TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity. 295-307 - Michael Danner, Bakir Hadzic, Thomas Weber, Xinjuan Zhu, Matthias Rätsch:
Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application. 308-325 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. 326-339 - Vinasétan Ratheil Houndji, Genereux Akotenou:
UMLDesigner: An Automatic UML Diagram Design Tool. 340-350 - Jaikrishna Manojkumar Patil, Johannes Bayer, Andreas Dengel:
Graph Neural Networks for Circuit Diagram Pattern Generation. 351-369 - Antonio Galli, Michela Gravina, Stefano Marrone, Carlo Sansone:
Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets. 370-384 - Mehrdad Rezaei, Nasseh Tabrizi:
A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems. 385-402 - Michael Danner, Patrik Huber, Muhammad Awais, Matthias Rätsch, Josef Kittler:
GAN-Powered Model &Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images. 403-418 - Richard Marcus, Felix Gabel, Niklas Knoop, Marc Stamminger:
GAN-Based LiDAR Intensity Simulation. 419-433 - Lars Schütz, Korinna Bade, Andreas Nürnberger:
Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes. 434-455 - Shubham Tiwari, Yash Sethia, Ashwani Tanwar, Ritesh Kumar, Rudresh Dwivedi:
FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes. 456-465 - Emma Zavarrone, Alessia Forciniti:
CSR & Sentiment Analysis: A New Customized Dictionary. 466-479
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last updated on 2026-04-27 01:21 CEST by the dblp team
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