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ORCIDISPR 2023: Hammamet, Tunisia
- Akram Bennour
, Ahmed Bouridane, Lotfi Chaâri:
Intelligent Systems and Pattern Recognition - Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, Part II. Communications in Computer and Information Science 1941, Springer 2024, ISBN 978-3-031-46337-2
Pattern Recognition
- Deep R. Kothadiya, Chintan M. Bhatt, Imad Rida:
Simsiam Network Based Self-supervised Model for Sign Language Recognition. 3-13 - Sneha Chauhan, Sugata Gangopadhyay, Aditi Kar Gangopadhyay:
Study of Support Set Generation Techniques in LAD for Intrusion Detection. 14-28 - Basma Jalloul, Siwar Chaabene, Bassem Bouaziz:
Minimal Window Duration for Identifying Cognitive Decline Using Movement-Related Versus Rest-State EEG. 29-42 - Modestas Grazys:
Modeling Graphene Extraction Process Using Generative Diffusion Models. 43-59 - Hicham Bellafkir, Markus Vogelbacher, Daniel Schneider, Valeryia Kizik, Markus Mühling, Bernd Freisleben:
Bird Species Recognition in Soundscapes with Self-supervised Pre-training. 60-74 - Arwa Kochkach, Saoussen Belhadj Kacem, Sabeur Elkosantini, Seongkwan M. Lee, Wonho Suh:
On the Different Concepts and Taxonomies of eXplainable Artificial Intelligence. 75-85 - Youssef Hosni, Ahmed Elabasy:
Classifying Alzheimer Disease Using Resting State Coefficient of Variance BOLD Signals. 86-100 - Wafa Difallah, Sabira Nour, Abdeldjalil Yaga, Isaac Elgoul:
Proteus Based Automatic Irrigation System. 101-112 - Mohamad Suhairi Md Subhi, Willem Nicolas, Akina Renard, Gabriela Maria Garcia Romero, Meriem Ouederni, Lotfi Chaâri:
How AI can Advance Model Driven Engineering Method ? 113-125
Machine and Deep Learning
- Hayette Zeghida, Mehdi Boulaiche, Ramdane Chikh:
Detection of DoS Attacks in MQTT Environment. 129-140 - Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva:
Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments. 141-154 - Corentin Artaud, Rafael Pina, Xiyu Shi, Varuna De Silva:
Policy Generation from Latent Embeddings for Reinforcement Learning. 155-168 - Sarsabene Hammi, Souha Hammami Mezghani, Lamia Hadrich Belguith:
Deep Learning Models for Aspect-Based Sentiment Analysis Task: A Survey Paper. 169-183 - Wided Souid Miled, Moulay A. Akhloufi, Hana Ben Asker:
A Real-Time Deep UAV Detection Framework Based on a YOLOv8 Perception Module. 184-197 - Aniketh Arvind:
A Deep Neural Architecture Search Net-Based Wearable Object Classification System for the Visually Impaired. 198-213 - M'hamed Bilal Abidine:
Multicarrier Waveforms Classification with LDA and CNN for 5G. 214-222 - Merzoug Soltane, Mohamed Ridda Laouar:
Weeds Detection Using Mask R-CNN and Yolov5. 223-233 - Bamory Ahmed Toru Koné, Bassem Bouaziz, Rima Grati, Khouloud Boukadi:
Boruta-AttLSTM: A Novel Deep Learning Architecture for Soil Moisture Prediction. 234-246 - Ahmet Tüzen, Yusuf Yaslan:
Graph Autoencoder with Community Neighborhood Network. 247-261 - Marwa Al-Harbi, Rasha Obeidat, Mahmoud Al-Ayyoub, Luay Alawneh:
Question-Aware Deep Learning Model for Arabic Machine Reading Comprehension. 262-276 - Asadullah Momand, Sana Ullah Jan, Naeem Ramzan:
A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things. 277-287 - Abdelhalim Hafedh Dahou:
Identifying Discourse Markers in French Spoken Corpora: Using Machine Learning and Rule-Based Approaches. 288-299 - Basma Dokkar, Bouthaina Meddour, Khadra Bouanane, Mebarka Allaoui, Mohammed Lamine Kherfi:
A Comparative Study of the Impact of Different First Order Optimizers on the Learning Process of UNet for Change Detection Task. 300-315
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