ILYASS ABOUELAZIZ
Publications
Publications
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ESTABLISHING DIGITAL TRUST: A CERTIFICATION SYSTEM FOR VERIFYING AI-GENERATED CONTENT AND ENSURING INFORMATION INTEGRITYCONFERE 2024, équipe de recherche Présence & Innovation, qui dépend du laboratoire LAMPA Laboratoire Angevin de Mécanique, Procédés et innovAtion, dont les membres appartiennent au Campus Arts et Métiers d'Angers, Jul 2024, Porto, Portugal |
Towards Eco-Efficient AI: Hybrid Data Strategies for BIPV Energy Prediction2025 3rd International Conference on Power and Renewable Energy Engineering (PREE), Oct 2025, Nara, France. pp.46-51, ⟨10.1109/PREE67492.2025.11433856⟩ |
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Improved Hourly Prediction of BIPV Photovoltaic Power Building Using Artificial Learning Machine: A Case StudyInternational Conference on Networking, Intelligent Systems and Security, Mar 2022, Bandung, Indonesia. pp.270-280, ⟨10.1007/978-3-031-15191-0_26⟩ |
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A new approach for removing point cloud outliers using the standard scorePattern Recognition and Tracking XXXIII, Mohammad S. Alam; Vijayan K. Asari, Apr 2022, Orlando, Florida, United States. ⟨10.1117/12.2618835⟩ |
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A new approach for removing point cloud outliers using box plotPattern Recognition and Tracking XXXIII, Apr 2022, Orlando, United States. pp.9, ⟨10.1117/12.2618842⟩ |
No-Reference Mesh Visual Quality Assessment Using Graph-Based Deep Learning2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), Oct 2021, Tampere, Finland. pp.1-6, ⟨10.1109/MMSP53017.2021.9733513⟩ |
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Combination Of Handcrafted And Deep Learning-Based Features For 3d Mesh Quality Assessment2020 IEEE International Conference on Image Processing (ICIP), Oct 2020, Abu Dhabi, United Arab Emirates. pp.171-175, ⟨10.1109/ICIP40778.2020.9191092⟩ |
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Mesh Visual Quality based on the combination of convolutional neural networks2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2019, Istanbul, France. pp.1-5, ⟨10.1109/IPTA.2019.8936129⟩ |
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Convolutional Neural Network for Blind Mesh Visual Quality Assessment Using 3D Visual Saliency2018 25th IEEE International Conference on Image Processing (ICIP), 2018, Athènes, Greece |
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A blind mesh visual quality assessment method based on convolutional neural networkElectronic Imaging, 2018, San Francisco, United States |
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Reduced Reference Mesh Visual Quality Assessment Based on Convolutional Neural Network2018 14th International Conference on Signal-Image Technology & Internet based Systems (SITIS), 2018, Las Palmas de Gran Canaria, Spain |
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Convolutional Neural Network for Blind Mesh Visual Quality Assessment Using 3D Visual Saliency2018 25th IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, France. pp.3533-3537, ⟨10.1109/ICIP.2018.8451763⟩ |
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Mesh Visual Quality Assessment Metrics: A Comparison Study2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Dec 2017, Jaipur, France. pp.283-288, ⟨10.1109/SITIS.2017.55⟩ |
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A convolutional neural network framework for blind mesh visual quality assessment2017 IEEE International Conference on Image Processing (ICIP), Sep 2017, Beijing, France. pp.755-759, ⟨10.1109/ICIP.2017.8296382⟩ |
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A Curvature Based Method for Blind Mesh Visual Quality Assessment Using a General Regression Neural Network12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2016 , Nov 2016, Naples, Italy. ⟨10.1109/SITIS.2016.130⟩ |
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No-Reference 3D Mesh Quality Assessment Based on Dihedral Angles Model and Support Vector Regression7th International Conference on Image and Signal Processing (ICISP 2016) , May 2016, Trois Rivières, Canada. pp.369-377, ⟨10.1007/978-3-319-33618-3_37⟩ |
Reduced reference 3D mesh quality assessment based on statistical models2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), University of Bourgogne; University of Milan, Nov 2015, Bangkok, Thailand. pp.170-176, ⟨10.1109/SITIS.2015.129⟩ |
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New models of visual saliency: Contourlet transform based model and hybrid model2015 Intelligent Systems and Computer Vision (ISCV), Mar 2015, Fez, Morocco. pp.1-5, ⟨10.1109/ISACV.2015.7105547⟩ |
Improved Hourly Prediction of BIPV Photovoltaic Power Building Using Artificial Learning Machine: A Case Studyspringer. Emerging Trends in Intelligent Systems & Network Security, 147, Springer International Publishing; Springer International Publishing, pp.270-280, 2023, Lecture Notes on Data Engineering and Communications Technologies, ⟨10.1007/978-3-031-15191-0_2⟩ |