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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 II. Communications in Computer and Information Science 2172, Springer 2024, ISBN 978-3-031-66704-6 - Ali Bayeh, Malek Mouhoub, Samira Sadaoui:
Geometrical Realization for Time Series Forecasting. 1-18 - Jeroen Put, Nick Michiels, Bram Vanherle, Brent Zoomers:
Brains Over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute. 19-33 - Sylwia Olbrych, Robert Jungnickel, Michael Zeng, Cher Dao Tan, Marco Kemmerling, Anas Abdelrazeq, Robert H. Schmitt:
Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory Networks. 34-46 - Patrick Hosein, Kevin Baboolal:
Bayes Classification Using an Approximation to the Joint Probability Distribution of the Attributes. 47-61 - Sidi Mohammed Alaoui, Khalifa Djemal, Ehsan Sedgh Gooya, Amir Ali Feiz, Ayman Alfalou, Pierre Ngae:
Pollutant Source Localization Based on Siamese Neural Network Similarity Measure. 62-75 - Claudiu Daniel Hromei, Alessia Forciniti, Daniele Margiotta, Stefano Locati:
Automatic Emotion Analysis in Movies: Matteo Garrone's Dogman as a Case Study. 76-94 - Sijjad Ali, Asad Ali, Muhammad Uzair, Hamza Amir, Rana Zaki Abdul Bari, Hamid Sharif, Maryam Jamil, M. Hunza, Nabel Akram, Sharofiddin Allaberdiev:
Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine Learning and Deep Learning for Dynamic Ransomware Detection. 95-117 - Sèton Calmette Ariane Houetohossou, Castro Gbêmêmali Hounmenou, Vinasétan Ratheil Houndji, Romain Glèlè Kakaï:
Empirical Performance of Deep Learning Models with Class Imbalance for Crop Disease Classification. 118-135 - Trevon Tewari, Patrick Hosein:
Automating the Conducting of Surveys Using Large Language Models. 136-151 - Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Mustapha Ahricha, Oumkeltoum Amar, François Bourzeix:
Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0. 152-163 - Muhammad Aqeel, Shakiba Sharifi, Marco Cristani, Francesco Setti:
Self-supervised Learning for Robust Surface Defect Detection. 164-177 - Subhasis Thakur, John G. Breslin:
Efficient Deep Neural Network Verification with QAP-Based ZkSNARK. 178-191 - César Abreu, Creison Nunes, Adriano Chaves Lisboa:
Version 8 of YOLO for Wildfire Detection. 192-202 - Sudipta Singha Roy, Robert E. Mercer:
Investigating a Semantic Similarity Loss Function for the Parallel Training of Abstractive and Extractive Scientific Document Summarizers. 203-217 - Buse Ak, Tunga Güngör:
Deep Learning-Based Preprocessing Tools for Turkish Natural Language Processing. 218-234 - Anna-Lena Vischer, Jiayu Liu, Sinclair Rockwell-Kollmann, Stefan Günther, Klemens Schnattinger:
Skin Cancer Classification: A Comparison of CNN-Backbones for Feature-Extraction. 235-251 - Elizabeth Adriana Nina-Gutiérrez, Jesús Emerson Pacheco-Alanya, Juan Carlos Morales-Arevalo:
Multilingual Detection of Cyberbullying on Social Networks Using a Fine-Tuned GPT-3.5 Model. 252-263 - Joseph Killian, Ron Sun:
Detecting Big-5 Personality Dimensions from Text Based on Large Language Models. 264-278 - Dhvani Katkoria, Jaya Sreevalsan-Nair, Mayank Sati, Sunil Karunakaran:
ME-ODAL: Mixture-of-Experts Ensemble of CNN Models for 3D Object Detection from Automotive LiDAR Point Clouds. 279-300 - Jacob Nielsen, Peter Schneider-Kamp:
BitNet B1.58 Reloaded: State-of-the-Art Performance Also on Smaller Networks. 301-315 - Sinan Dede, Eleni Vrochidou, Venetis Kanakaris, George A. Papakostas:
Deep Learning for Cattle Face Identification. 316-335 - José Carlos Reyes-Hernández, Antònia Alomar, Ricardo Rubio, Gemma Piella, Federico Sukno:
OBBabyFace: Oriented Bounding Box for Infant Face Detection. 336-350 - Raghad Alqirshi, Samir Brahim Belhaouari:
EEG-Based Patient Independent Epileptic Seizure Detection Using GCN-BRF. 351-366 - Shellyann Sooklal, Patrick Hosein:
Predicting Components of a Target Value Versus Predicting the Target Value Directly. 367-385
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