DeLTA

Publications

2023

T. J. Anande, Mark S. Leeson
Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost. DeLTA (2023)
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. DeLTA (2023)
Lars Schütz, Korinna Bade, Andreas Nürnberger
Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes. DeLTA (2023)
Maya Trutschl, Urska Cvek, Marjan Trutschl
Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions. DeLTA (2023)
Jaikrishna Manojkumar Patil, Johannes Bayer, Andreas Dengel
Graph Neural Networks for Circuit Diagram Pattern Generation. DeLTA (2023)
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. DeLTA (2023)
Nour Habib, Yunsu Cho, Abhishek Buragohain, Andreas Rausch
Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes. DeLTA (2023)
Mehrdad Rezaei, Nasseh Tabrizi
A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems. DeLTA (2023)
Daniele Margiotta, Danilo Croce, Roberto Basili
TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity. DeLTA (2023)
Emma Zavarrone, Alessia Forciniti
CSR & Sentiment Analysis: A New Customized Dictionary. DeLTA (2023)
Lars Klöser, André Büsgen, Philipp Kohl, Bodo Kraft, Albert Zündorf
Explaining Relation Classification Models with Semantic Extents. DeLTA (2023)
Vinasétan Ratheil Houndji, Genereux Akotenou
UMLDesigner: An Automatic UML Diagram Design Tool. DeLTA (2023)
Alexander V. Smirnov, Nikolay Shilov, Andrew Ponomarev
Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models. DeLTA (2023)
Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien
Improving Primate Sounds Classification Using Binary Presorting for Deep Learning. DeLTA (2023)
Mohammad Amin Yazdi, Marius Politze, Benedikt Heinrichs
Research Data Reusability with Content-Based Recommender System. DeLTA (2023)
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. DeLTA (2023)
Konstantin Bogdanoski, Kostadin Mishev, Monika Simjanoska, Dimitar Trajanov
Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language. DeLTA (2023)
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. DeLTA (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. DeLTA (2023)
Sirvan Parasteh, Samira Sadaoui
A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data. DeLTA (2023)
Prabhu Prasad Dev, Pranesh Das, Raju Hazari
MSDeepNet: A Novel Multi-stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos. DeLTA (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. DeLTA (2023)
Richard Marcus, Felix Gabel, Niklas Knoop, Marc Stamminger
GAN-Based LiDAR Intensity Simulation. DeLTA (2023)
Jia Hui Feng, Edmund M.-K. Lai, Weihua Li
A Study of Neural Collapse for Text Classification. DeLTA (2023)
Tobias Hallmen, Silvan Mertes, Dominik Schiller, Florian Lingenfelser, Elisabeth André
Phoneme-Based Multi-task Assessment of Affective Vocal Bursts. DeLTA (2023)
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. DeLTA (2023)
Abdallah Amine Melakhsou, Mireille Batton-Hubert
Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels. DeLTA (2023)
Antonio Galli, Michela Gravina, Stefano Marrone, Carlo Sansone
Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets. DeLTA (2023)
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. DeLTA (2023)
Rahul Kumar, Md. Kamruzzaman Sarker, Sheikh Rabiul Islam
Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-trained Networks vs. Training from Scratch. DeLTA (2023)
Shubham Tiwari, Yash Sethia, Ashwani Tanwar, Ritesh Kumar, Rudresh Dwivedi
FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes. DeLTA (2023)

volume 1875, 2023

Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings DeLTA 1875 (2023)

2022