PEERS REVIEWED INTERNATIONAL CONFERENCES

2024

 

  1. N. Shvai, A. Nakib, License Plate Images Generation with Diffusion Models, PAIS 2024
  2. A. Ferdi, A. Nakib, Yolo based Object detection Enhancement based on Quadratic Convolution, In proc. of IEEE Int. Conf. on Foundation and Large Language Models (FLLM), pp. 11-14, 26-29 Nov. 2024, Dubai (AEU).
  3. A. Sana, K. Senhaji, A. Nakib, "Multiobjective based strategy for Neural Architecture Search for segmentation Task", In proc. of IEEE Int. Parallel and Distributed Processing Symposium Workshops, , May 27-31 2024, San Francisco, CA, USA.
  4. O. Nait Belaid, M. Loudini, A. Nakib, Brain tumor classification using DenseNet and U-net convolutional neural networks, 2024 8th International Conference on Image and Signal Processing and their Applications (ISPA), pp.  , April 21-22, 2024, Biskra, Algeria
  5. B. Ivaniuk-Skulskyi, N. Shvai, A. Llanza, A. Nakib, "Towards Lightweight Transformer Architecture: an Analysis on Semantic Segmentation",  Proceedings of 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), pp. , Feb. 1-2, 2024, Victoria, Seychelles.

  6. A. Llanza, N. Shvai, A. Nakib, "Black-Box Optimization Based Adaptive Image Anonymization", The IEEE World Congress on Computational Intelligence (WCCI), 30 June -05 July 2024, Yokohama, Japan. 

  7.  A. Llanza, N. Shvai, A. Nakib, Evolutionary based Adaptive image anonymization, GECCO '24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp 683 - 686, https://doi.org/10.1145/3638530.3654427

 

2023

  1. N. Shvai, A. Llanza, A. Nakib, Adaptive Image Anonymization in the Context of Image Classification with Neural Networks,  Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), pp. 5074-5083, May 3-5 2023, Paris, France
  2. S. Mallem, A. Nakib, "Towards Robustness: Enhancing Deep learning Models Through Meta-Learning and Bi-level optimization for Accurate Car Damage Classification", 2023 IEEE International Conference on Image Processing (ICIP)ICIP 2023, Oct. 8-11 2023, Kuala Lumpur, Malaysia. 10.1109/ICIP49359.2023.10222457

  3. F. Keddous, N. Shvai, A. Llanza, A. Nakib, "Inference acceleration of deep learning classifiers based on RNN", 2023 IEEE International Conference on Image Processing (ICIP)ICIP 2023, Oct. 8-11 2023, Kuala Lumpur, Malaysia.10.1109/ICIP49359.2023.10222316

  4. A. Llanza, F. Keddous, N. Shvai, A. Nakib, "Convolution Neural Network Compression based on improved fractal decomposition algorithm for large scale optimization", Accepted in IEEE SMC 2023. 
  5. A. Llanza, F. Keddous, N. Shvai, A. Nakib, "Deep Learning Models compression based on Evolutionary Algorithms and Digital Fractional Differentiation",  2023 IEEE Congress on Evolutionary Computation (CEC), 01-05 July 2023, Chcago, IL, USA. 10.1109/CEC53210.2023.10253975

  6. F. Keddous, A. Nakib, "Metaheuristic based framework for Deep Neural Networks compression via DeepCABAC Arithmetic Coding and Fractional Filter", In proc. of IEEE Int. Parallel and Distributed Processing Symposium Workshops, pp. 880-887, May 15-19 2023, St Petersburg, FL, USA.

  7. S. Mallem, A. Nakib, "Bilevel optimization based Meta-label correction for car damage classification", OLA 2023, May 3-5 2023; Malaga, Spain.
  8. N. Shvai, A. Llanza, A. Nakib, "Evolutionary data distillation for large image size datasets", OLA 2023, May 3-5 2023; Malaga, Spain.
  9. F. Bougourzi, F. Dornaika, A. Nakib, C. Distante and A. Taleb-Ahmed, "Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS," 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSPW59220.2023.10192927.

2022

  1. N. Shvai, A. Llanza, A. Hasnat, A. Nakib, " DEvS: Data Distillation Algorithm Based on Evolution Strategy.", In Proc.of  Genetic and Evolutionary Computation Conference (GECCO'22), pp. 292-295, Boston , MS, USA, July 2022.
  2.  A. Llanza, N Shvai, A Nakib, Investigating Fractal Decomposition Based Algorithm on Low-Dimensional Continuous Optimization Problems, Metaheuristics International Conference (MIC), pp. 215-229, Syracusa, Italy. 

2021

  1. A. Nakib et al. Hybrid modalities approach based on Multi-Convolutional neural network algorithm for Leukoaraiosis detection. Sheic conference 2021, Troyes, France. 
  2. A. Hasnat, N. Shvai, A. Nakib, "CNN Classifier's Robustness enhancement when Preserving Privacy",  In proc. of  The 28th IEEE International Conference on Image Processing (IEEE - ICIP), pp. 3887-3891,  Achorage, Alaska, USA, Sep. 19-22 2021.
  3. A. Nakib et al. "FFCNN: Fast FPGA based acceleration for Convolution neural network inference", In proc. of Int. Workshop on optimization and learning (OLA 2021), Catania, Italy, pp. 34-35, June 23-25. 2021. [PDF]
  4. F. Keddous, H-N. Nguyen, A. Nakib , "Characters Recognition based on CNN-RNN architecture and Metaheuristic",  IEEE International Parallel and Distributed Processing Symposium Workshops, May 17-21, 2021, (covid- online).
  5. A. Nakib et al. " Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm"  IEEE World Congres on Computational Intelligence (WCCI 2020), July 19-24, Glasgow,  Scotland, UK. (Online)
  6. A. Nakib et al. "HyperFDA: A Bi-level optimization approach to Neural Architecture Search and Hyperparameters Optimization with Fractal Decomposition-based Algorithm", In Proc.of the 2020 Genetic and Evolutionary Computation Conference Companion (GECCO'20), pp. 155-156, July 2020, Cancun (covid- online),  Mexico. 
  7. A. Nakib et al. "Real time Automatic Urban Traffic ManagementFramework Based on Convolutional NeuralNetwork under Limited Resources Constraint", In proc. of  17th International Conference on Image Analysis and Recognition (ICIAR) 2020, LNCS volume 12131, pp 95-106, 24-26 June, 2020, Virtual conference. (Online)
  8. L. Souquet, A. Nakib, E-G Talbi, "Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition", in Proc. of 13th International Conference on Multiple Objective Programming and Goal Programming (MOPGP 2019), Oct. 28-31 2019, Marrakech, Morocco.
  9. A. Nakib, et al. "Application guided Image Quality Estimation based on Classification",  in  26th IEEE Int. Conf. on Image Processing ICIP 2019, Sep. 22-25 2019, Taipei, Taiwan.
  10. A. Nakib, et al. "Semantic Segmentation approach for Tunnel Roads' Analysis",  in Proc. of  SPIE Optics and photonics, August 11-15, 2019, San Diego, CA, USA.
  11. L. Souquet, A. Nakib, et al. "Multi-objective optimization based fractal decomposition",  In Proc of XIII Metaheuristics International Conference, pp.84-86, July 28-31, 2019, Cartagena, Colombia.[pdf]
  12. A. Nakib, et al." PixMap: automatic license plate recognition with convolutional neural network based on saliency maps", In Proc of Spie Digital Optical Technologies 2019 Int. Symposium, Vol. 11062, 110620O (2019), June 24 - 27 2019, Munich, Germany.

  13.  M. Khata, N. Shvai, A. Hasnat, A. Llanza, A. Sanogo, A. Meicler, and A. Nakib, "Novel Context-aware Classification for Highly Accurate Automatic Toll Collection", In Proc. of  30th IEEE Intelligent Vehicles Symposium, June 9-12, 2019, Paris, France, pp. 978-983.[pdf]

  14. A. Nakib et al., "Real-time incident detection inside tunnels based on Voltera Architecture", Nvidia GPU Technology Conference (GTC), March 17-21, 2019, Silicon Valley, CA, USA. 
  15. A. Hasnat, N. Shvai, A. Meicler, A. Nakib, "New Vehicle classification method based on hybrid classifier", 25th IEEE ICIP 2018, pp.3084-3088, Athens, Greece, Oct 7-8 2018.
  16. N. Shvai, A. Meicler, A. Hasnat, E. Machover, P. Maarek, and A. Nakib, "Optimal Ensemble Classifiers based classification for Automatic Vehicle Type Recognition", In Proc. of Int. conf IEEE WCCI-CEC 2018, pp. 1-8, 8-13 Jul. 2018,  Rio de Janiero, Brasil.
  17. A. Ghoumari, A. Nakib, P. Siarry, "Graph based adaptive evolutionary algorithm for continuous optimization", In proc. Int. Workshop on optimization and learning: Challenges and applications (OLA 2018), Alicante, Spain, pp. 34-35, Feb. 26-28 2018. [PDF]
  18. A. Nakib, et al., "Dynamic learning optimization algorithm for P2P-VoD Systems", In Proc. of 3rd IEEE Data Science and Syst. conf. 2017. pp. 388-395, Bangkok, Thailland. Dec. 18-20 2017. [PDF]
  19. A. Nakib, M. Hilia, F. Heliodore, E-G. Talbi, "Design of Metaheuristic based on Machine Learning: a unified approach. Application on image denoising", In Proc. Of the 31st IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2017, pp. 510-518, Lake Buena Viesta, FL, USA, 29 May-2 June 2017. [PDF]
  20. A. Kaci, H-N. Nguyen, A. Nakib, P. Siarry, "Hybrid heuristic for mapping task problem on large scale heteregeneous problem", In Proc. Of the 30th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2016, pp. 809-816, Chicago, Illinois, USA, May 23-27, 2016. [PDF]
  21. A. Nakib, A. Ghoumari, P. Siarry, "Through the maximum a posteriori based metaheuristic", In Proc. of Int. Conf. on Metaheuristics and Nature Inspired Computing, pp.101-102, Oct. 27-31, 2016, Marrakech, Morocco.
  22. T. Rohmer, A. Nakib, A. Nafaa, "Dynamic Peer Selection Strategy Evaluation in P2P-VoD Systems based on Evidence Theory," In Proc. of  IFAC / IEEE / IFORS / IFIP / INFORMS MIM 2016 Conference, Vol. 42, no. 12,  pp. 775-780,  June 28-30, 2016, Troyes, France.[PDF]
  23. A. Nakib, B. Thibault, P. Siarry, "Bayesian based metaheuristic for large scale continuous optimization", In Proc. Of the 29th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2015, pp. 314-322, Hyderabad, India, May 25-29, 2015. [PDF]
  24. M. Dakkak, B. Daachi, A. Nakib, P. Siarry, ”Multi-Layer Perceptron Neural Network and Nearest Neighbor Approaches for Indoor Localization”, In Proc. The 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1385-1392, San Diego, CA, USA, Oct. 5-8, 2014.[PDF]
  25. R. Menasri, H. Oulhadj, B. Daachi, A. Nakib, P. Siarry, ”A genetic algorithm designed for robot trajectory planning”, In Proc. Of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 234-239, San Diego, CA, USA, Oct. 5-8, 2014.[PDF]
  26. R. Menasri, H.Oulhadj, B.Daachi, A. Nakib, P. Siarry, ”Smooth trajectory planning for robot using particle swarm optimization”, In Proc. Of the International Conference Swarm Intelligence Based Optimization, Mulhouse, France, May. 13-14, 2014.
  27. A. Nakib, E-G. Talbi, A. Fuser, "A Hybrid metaheuristic for annual hydropower generation", In Proc. Of the 28th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2014, pp. 747-481, Phoenix, AZ, USA, May 19-23, 2014.[PDF]
  28. T-A.Nguyen, H.Nguyen, A. Nakib, E. Petit, ”Transaction level simulation of network based on computing systems”, In Proc. Of the 2014 International Conference on Computational Science and Computational Intelligence CSCI2014, Las Vegas, USA, March 10-13, 2014, pp. 268-271.[PDF]
  29. I. Baghli, A. Nakib, E. Sellam, O. Benazzouz, A. Chikh, E. Petit, ”Hybrid framework based on evidence theory for blood cell image segmentation”, In SPIE porc. Vol. 9038, pp. 903815-1-8, Medical Imaging 2014, San Diego, CA,  USA, Feb. 15-19, 2014. 
  30. R. Menasri, A. Nakib, H. Oulhadj, B. Daachi, P. Siarry, G. Hains, ”Path planning for redundant manipulators using metaheuristic for bilevel optimization and maximum of manipulability”, in Proc. Of IEEE International Conference Robotics and Biomimetics (ROBIO) 2013„ Shenzhen, China, pp. 145-150, Dec. 12-14, 2013. [PDF]
  31. T. Rohmer, A. Nakib, J. Lepagnot, A. Nafaa, ”Adaptive Peer Selection Strategy in P2P-VoD systems based on Dynamic Metaheuristic”, in Proc. Of IEEE int. Conf on Para. and Dist.Sys. ICPADS 2013, Seoul, Korea, Dec. 15-18, 2013, pp. 436-437. [PDF]
  32. T-A. Nguyen, A. Dufour, O. Tankyevych, A. Nakib, E. Petit, H. Talbot, N. Passat, ”Thin object filtering: a combined approach based on non-local means, gaussian derivative and spatially-variant mathematical morphology”, In Proc. Of the IEEE International Conference on Image Processing, ICIP 2013, pp. 1237-1241, Melbourne, Australia, Sept. 15-18, 2013. [PDF]
  33. A. El Dor, J. Lepagnot, A. Nakib, P. Siarry, ”PSO-2S Optimization Algorithm for Brain MRI Segmentation”, In Proc. 7th International Conference on Genetic and Evolutionary Computing, ICGEC 2013, Prague, Czech Republic, Vol. 238, pp 13-22, August 25-27, 2013.
  34. T. Rohmer, A. Nakib, ”A Dynamic Approach to Optimal Peer Selection in Peer-to-Peer Video-on-Demand Systems”, The XXVI EURO-INFORMS Joint International Conference, Rome, Italy, July 1-4, 2013.
  35. T. Rohmer, A. Nakib, A. Nafaa, ”Optimal peer selection strategy in P2P-VoD systems using based Dynamic Evolution Strategy”, In Proc. Of the 27th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2013, pp. 747-481, Boston, Massachusetts, USA, May 20-24, 2013.[PDF]
  36. I. Boussaad, A. Nakib, F. Heliodore, "Novel Levy Based Particle Swarm Optimization Algorithm for Electrical Power Grid”, In Proc. Of the 27th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2013, pp. 466-473, Boston, Massachusetts, USA, May 20-24,2013. [PDF]
  37. FH. Sarieddeen, R. El Berbari, S. Imad, J. Abdel Baki, M. Hamad, R. Blanc, A. Nakib, and Y. Chenoune, ”Image Clustering Framework for BAVM Segmentation in 3DRA Images: Performance Analysis”, 4th International Conference on Digital Image Processing (ICDIP), Dubai, Arab Emirates, Jan. 30-31, 2013, vol. 7, no. 1, pp. 638-642.
  38. A. Nakib, B. Daachi, P. Siarry, ”Hybrid differential evolution using low-discrepancy se- quences for image segmentation”, in Proc. Of the 26th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2012, Shanghai, China, May 21-25, 2012, pp. 627-633. [PDF]
  39. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”A Dynamic multi-agent algorithm applied to challenging benchmark problems”, in Proc. Of the IEEE Congress on Evolutionary Computation, CEC 2012, as a part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012, pp. 2508-2515, [PDF]
  40. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Brain cine-MRI Sequences Registration using B-spline Free-Form Deformations and MLSDO Dynamic Optimization Algorithm”, In 6th International Conference on Learning and Intelligent Optimization Conference, LION 6, Paris, France, Jan. 16-20, 2012, pp.443-448. 
  41. A. Nakib, Y. Scheluze, E. Petit, ”Optimal fractional filter for image segmentation”, In Proc. of SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82950P; doi:10.1117/12.908715, San Francisco, CA, USA, Jan. 22-26, 2012.
  42. A. Masson-Sibut, A. Nakib, E. Petit, F. Leitner, ”New automatic landmarks extraction framework on ultrasound images of the femoral condyles” in Proc. of the SPIE Medical Imaging conference, San Diego, CA, USA, Feb. 4-6, 2012.
  43. T. Rohmer, A. Nafaa, A. Nakib, ”On allocation strategies in Peer Assisted VOD streaming Systems”, in Proc. of the 17th IEEE Symposium on Computers and Communications, ISCC’12, Cappadocia, Turkey, July 1-4, 2012, pp. 551-558.[PDF]
  44. S. Hajjem, H. Oulhadj, A. Nakib, M. Tagina, P. Siarry, ”Fusion of criteria for evaluating MRI image segmentation”, in Proc. Of the Int. Conf. on Metaheuristics and Nature Inspired Computing, META’2012, Port El-Kantaoui- Sousse, Tunisia, October26-31, 2012
  45. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Performance analysis of MLSDO dynamic otimization algorithm”, in Proc. Of the Int. Conf. on Metaheuristics and Nature Inspired Computing, META’2012, Port El-Kantaoui- Sousse, Tunisia, October26-31, 2012
  46. B.Ismail, F.Heliodore, L. Urrego, S. Medina, A. Philippe, S. Poullain, E.Courbon, A. Nakib, P. Siarry, F. Gallon, ”Non-Parametric Estimation of Apha-Stable Distributions through Metaheuristics: Particle Swarm Optimization Approach applied to a Power Grid”, in Proc. Of the Int. Conf. on Metaheuristics and Nature Inspired Computing, META’2012, Port El-Kantaoui- Sousse, Tunisia, October26-31, 2012
  47. B. Ismail, F. Heliodore, S. Poullain, A. Nakib, P. Siarry, L. Urrego, S. Medina, F. Gallon, ”Optimal Location and Sizing of FACTS using Bi-Level Levy Based PSO”, In Proc. Of the Int. Conf. on Metaheuristics and Nature Inspired Computing, META’2012, Port El-Kantaoui-Sousse, Tunisia, October26-31, 2012
  48. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Brain cine MRI segmentation based on a multiagent algorithm for dynamic continuous optimization”, in Proc. of the IEEE Congress on Evolutionary Computation, CEC’2011, as a part of the 2011 IEEE World Congress on Computational Intelligence, WCCI 2011, New Orleans, LA, USA, June 2011, vol. 1, pp. 1695-1702. [PDF]
  49. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Brain cine-MRI registration using MLSDO dynamic optimization algorithm”, in Proc. of the 9th Metaheuristics International Confer- ence, MIC’2011, Udine, Italy, July 2011, vol. 1, pp. 241-249
  50. A. Masson-Sibut, E. Petit, F. Leitner, F. Normand, A. Nakib, J. B. Pinzuti, ”Bone Surface Segmentation in Ultrasound Images. Application in Computer Assisted Intramedullary Nailing of the Tibia Shaft”, in Proc. Of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems, MIAD 2011, Roma, Italy, January 26-29, 2011.
  51. A. Masson-Sibut, A. Nakib, E. Petit, F. Leitner, ”Computer Assisted Intramedullary Nailing using Real-Time Bone Detection in 2D Ultrasound Images”, in Machine Learning in Medical Imaging (MLMI), Workshop at the 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011, Toronto Canada September 18-24, 2011.
  52. S. Hajjem, A. Nakib, H. Oulhadj, P. Siarry, ”Brain MRI segmentation based on shortest path and biased survival exponential entropy”, in Proc. of the 10th Biennal Int. Conf. on Artificial Evolution, EA’2011, Angers, France, Oct. 24-26, 2011.
  53. A.Nakib, F.Aiboud, J. Hodel, P. Siarry, P. Decq, ”Third brain ventricle deformation analysis using fractional differentiation and evolution strategy in brain cine-MRI”, in Proc. of the SPIE Medical Imaging conference, San Diego, USA, Feb. 13-18, 2010, vol. 7623, pp. 76232I-1 to 76232I-10.
  54. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”A Multi-Agent based Algorithm for Continu- ous Dynamic Optimization”, In EU/MEeting 2010 workshop, Lorient, France, June 2010.
  55. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Performance analysis of MADO dynamic optimization algorithm”, in Proc. Of the 9th IEEE Int. Conf. on Intelligent Systems Design and Applications, ISDA’09, Pisa, Italy, Nov. 30 - Dec. 2, 2009, pp. 37-42. [PDF]
  56. M. Dakkak, A. Nakib, B. Daachi, P. Siarry, J. Lemoine, ”Mobile indoor location based on fractional differentiation”, in Proc. Of the IEEE Wireless Communications and Networking Conference, WCNC 2012, Paris, France, April 2012, pp. 2003-2008. [PDF]
  57. Y. Cooren, A. Nakib, and P. Siarry, "Image thresholding using TRIBES, a parameter-free particle swarm optimization algorithm". In Proc. Of Int. Conf. on Learning and Intelligent Optimization (LION 2007 II), Trento, Italy, December 8-12 2007.
  58. A. Nakib, Y. Cooren, H. Oulhadj, and P. Siarry, "Magnetic resonance image segmentation based on two-dimensional exponential entropy and a parameter free PSO", In Proc. of Int. Conf. on Evolution Artificial EA'07. Tours, France, October 29-31, 2007, pp. 50-61.
  59. A. Nakib, S. Roman, H. Oulhadj, and P. Siarry, "Fast MRI segmentation based on two dimensional survival exponential entropy and particle swarm optimization". In proc. of the 29th Annual Int. Conf. on the IEEE EMBS, Lyon, France, August 22-26 2007, pp. 5563-5565. [PDF]
  60. A. Nakib, H. Oulhadj, and P. Siarry, "Microscopic image segmentation with two-dimensional exponential entropy based on hybrid microcanonical annealing". IAPR Conference on Machine Vision Applications (MVA2007). pp. 420-423, Tokyo, Japan, May 16-18 2007.
  61. A. Nakib, Y. Ferdi, "Entropy Reduction in fractionally differentiated electrocardiogram signals", In proc. of Int. Conf. EMBC'02, pp. 562-563, Vienna, Austria, Dec. 4-8 2002.

Recent Papers


Optimization : 

Convolutional neural network architecture search based on fractal decomposition optimization algorithm, Expert Systems with Applications Elsevier oct. 2022

Deep learning : 

EvS: Data Distillation Algorithm Based on Evolution Strategy, GECCO 2022

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