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ORCID5th DeLTA 2024: Dijon, France
- Ana Fred, Allel Hadjali
, Oleg Gusikhin, Carlo Sansone:
Deep Learning Theory and Applications - 5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024, Proceedings, Part I. Communications in Computer and Information Science 2171, Springer 2024, ISBN 978-3-031-66693-3
Full Invited Talk
- Emanuele Maiorana:
Transmuting Wearable Sensor Data: From Inertial to Electrical-Like Measurements of Heart Activity. 3-15
Regular Papers
- Harshitha Poolakanda Somanna, Paul Stynes, Cristina Hava Muntean:
A Deep Learning-Based Plant Disease Detection and Classification for Arabica Coffee Leaves. 19-37 - Konstandinos Aiwansedo, Jérôme Bosche, Wafa Badreddine, Mohamed Hamza Kermia, Oussama Djadane:
CNN-N-BEATS: Novel Hybrid Model for Time-Series Forecasting. 38-57 - Diego García Ricaño, Lorna Verónica Rosas-Téllez:
Development and Applications of Gesture-Controlled Drones: Advances in Hand Gesture Recognition for Aerial Navigation. 58-71 - Kriss Saulitis, Evalds Urtans, Vairis Caune:
Towards Natural-Sounding Speech to Text in English. 72-83 - Philipp Kohl, Yoka Krämer, Claudia Fohry, Bodo Kraft:
Scoping Review of Active Learning Strategies and Their Evaluation Environments for Entity Recognition Tasks. 84-106 - Naoufal Sirri, Christophe Guyeux:
Solar Activity Impact on Firefighter Interventions: Factors Analysis. 107-122 - Sergio Iván Ramírez Luelmo, Nour El Mawas, Rémi Bachelet, Jean Heutte:
Detecting Flow via a Machine Learning Model in a MOOC Context. 123-142 - Gayathri Malaichamy, Cristina Hava Muntean, Anderson Augusto Simiscuka:
Online Job Posting Authenticity Prediction with Machine and Deep Learning: Performance Comparison Between N-Gram and TF-IDF. 143-162 - Manu Kiiskilä, Padmasheela Kiiskilä:
Evolving Deep Architectures: A New Blend of CNNs and Transformers Without Pre-training Dependencies. 163-175 - Charalambos Soteriou, Christos Kyrkou, Panayiotis S. Kolios:
Closing the Sim-to-Real Gap: Enhancing Autonomous Precision Landing of UAVs with Detection-Informed Deep Reinforcement Learning. 176-190 - Dennis Lim, Brian Chung Shiong Loh, Wan-Tze Vong, Patrick H. H. Then:
Mitigating Class Imbalance in Healthcare AI Image Classification: Evaluating the Efficacy of Existing Generative Adversarial Networks. 191-209 - Dominik Schiller, Silvan Mertes, Marcel Achzet, Fabio Hellmann, Ruben Schlagowski, Elisabeth André:
More Than Noise: Assessing the Viscosity of Food Products Based on Sound Emission. 210-218 - Alexey Podoprosvetov, Vladimir Smolin, Sergey Sokolov:
Vector Analysis of Deep Neural Network Training Process. 219-237 - Subhasis Thakur, John G. Breslin:
Secure Coalition Formation for Federated Machine Learning. 238-258 - Chaitanya Bandi, Ulrike Thomas:
Action Conditioned Attention Encoder-Decoder and Discriminator for Human Motion Generation. 259-276 - Souvik Kundu, Robert E. Mercer:
Citation Polarity Identification in Scientific Research Articles Using Deep Learning Methods. 277-295 - Ruben Schlagowski, Silvan Mertes, Dominik Schiller, Yekta Said Can, Elisabeth André:
Exploring Physiology-Based Classification of Flow During Musical Improvisation in Mixed Reality. 296-309 - Budiarianto Suryo Kusumo, Ulrike Thomas:
Refining Weights for Enhanced Object Similarity in Multi-perspective 6Dof Pose Estimation and 3D Object Detection. 310-327 - Rohan Nandan, Rohan Lingeri, Rohan Mehta, Preet Kanwal, Rishita Atluri:
End-to-End Video Surveillance Framework for Anomaly Detection and Person Re-identification. 328-339 - Kim Bjerge, Paul Bodesheim, Henrik Karstoft:
Few-Shot Learning with Novelty Detection. 340-363
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