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2020 – today
- 2024
[c24]Zara Cook, Grant Sinha, Jack Wang, Chengzong Zhao, Nabil Belacel, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi:
Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models. I2MTC 2024: 1-6- 2023
- [c23]Grant Sinha, Nabil Belacel, Zhiyang Gu, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi:
Machine Learning Methods for Electroencephalogram-Based Age Prediction. SENSORS 2023: 1-4 - [i1]Rene Richard
, Nabil Belacel:
An Online, Adaptive and Unsupervised Regression Framework with Drift Detection for Label Scarcity Contexts. CoRR abs/2312.07682 (2023) - 2022
- [c22]Nabil Belacel, René Richard, Zhicheng Max Xu:
An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data. IEEE Big Data 2022: 3348-3357 - 2020
- [c21]Nabil Belacel, Cheng Duan, Diana Inkpen:
The K-Closest Resemblance Classifier for Remote Sensing Data. Canadian AI 2020: 49-54 - [c20]Nabil Belacel, Guangze Wei, Yassine Bouslimani:
The k Closest Resemblance Classifier for Amazon Products Recommender System. ICAART (2) 2020: 873-880
2010 – 2019
- 2019
- [j15]Youcef Djeddi, Hacène Aït Haddadène, Nabil Belacel:
An extension of adaptive multi-start tabu search for the maximum quasi-clique problem. Comput. Ind. Eng. 132: 280-292 (2019) - [j14]Nabil Belacel, Miroslava Cuperlovic-Culf:
PROAFTN Classifier for Feature Selection with Application to Alzheimer Metabolomics Data Analysis. Int. J. Pattern Recognit. Artif. Intell. 33(11): 1940013:1-1940013:16 (2019) - [p1]Feras N. Al-Obeidat, Nabil Belacel, Bruce Spencer:
Combining Machine Learning and Metaheuristics Algorithms for Classification Method PROAFTN. Enhanced Living Environments 2019: 53-79 - 2018
- [c19]Nabil Belacel, Guillaume Durand, Serge Léger, Cajetan Bouchard:
Splitting-merging Clustering Algorithm for Collaborative Filtering Recommendation System. ICAART (2) 2018: 165-174 - [c18]Nabil Belacel, Guillaume Durand, Serge Léger, Cajetan Bouchard:
Scalable Collaborative Filtering Based on Splitting-Merging Clustering Algorithm. ICAART (Revised Selected Papers) 2018: 290-311 - [c17]Guillaume Durand, Cyril Goutte, Nabil Belacel, Yassine Bouslimani, Serge Léger:
A diagnostic tool for competency-based program engineering. LAK 2018: 315-319 - 2016
- [j13]Si He, Nabil Belacel, Alan Chan, Habib Hamam, Yassine Bouslimani:
A Hybrid Artificial Fish Swarm Simulated Annealing Optimization Algorithm for Automatic Identification of Clusters. Int. J. Inf. Technol. Decis. Mak. 15(5): 949-974 (2016) - [j12]Cyrus Minwalla, Dan Tulpan, Nabil Belacel, Fazel Famili, Kristopher Ellis:
Detection of Airborne Collision-Course Targets for Sense and Avoid on Unmanned Aircraft Systems Using Machine Vision Techniques. Unmanned Syst. 4(4): 255-272 (2016) - [c16]Guillaume Durand, Nabil Belacel, Cyril Goutte:
Competency Based Learning in the Web of Learning Data. WWW (Companion Volume) 2016: 489-494 - 2015
- [c15]Feras N. Al-Obeidat, Ahmad T. Al-Taani, Nabil Belacel, Leo Feltrin, Neil R. Banerjee:
A Fuzzy Decision Tree for Processing Satellite Images and Landsat Data. ANT/SEIT 2015: 1192-1197 - [c14]Guillaume Durand, Nabil Belacel, Cyril Goutte:
Evaluation of Expert-Based Q-Matrices Predictive Quality in Matrix Factorization Models. EC-TEL 2015: 56-69 - [c13]François LaPlante, Mustapha Kardouchi, Nabil Belacel:
Image Categorization Using a Heuristic Automatic Clustering Method Based on Hierarchical Clustering. ICIAR 2015: 150-158 - 2014
- [c12]Nabil Belacel, Guillaume Durand, François LaPlante:
A Binary Integer Programming Model for Global Optimization of Learning Path Discovery. EDM (Workshops) 2014 - [c11]François LaPlante, Nabil Belacel, Mustapha Kardouchi:
A Hierarchical Clustering Based Heuristic for Automatic Clustering. ICAART (1) 2014: 201-210 - [c10]François LaPlante, Nabil Belacel, Mustapha Kardouchi:
A Heuristic Automatic Clustering Method Based on Hierarchical Clustering. ICAART (Revised Selected Papers) 2014: 312-328 - 2013
- [j11]Guillaume Durand, Nabil Belacel, François LaPlante:
Graph theory based model for learning path recommendation. Inf. Sci. 251: 10-21 (2013) - 2012
- [c9]Abdel Ilah Salhi, Mustapha Kardouchi, Nabil Belacel:
Fast and efficient face recognition system using random forest and histograms of oriented gradients. BIOSIG 2012: 1-11 - 2011
- [j10]Feras N. Al-Obeidat, Nabil Belacel, Juan A. Carretero, Prabhat Mahanti:
An evolutionary framework using particle swarm optimization for classification method PROAFTN. Appl. Soft Comput. 11(8): 4971-4980 (2011) - [j9]Feras N. Al-Obeidat, Nabil Belacel:
Alternative approach for learning and improving the MCDA method PROAFTN. Int. J. Intell. Syst. 26(5): 444-463 (2011) - [c8]Nabil Belacel, Feras N. Al-Obeidat:
A Learning Method for Developing PROAFTN Classifiers and a Comparative Study with Decision Trees. Canadian AI 2011: 56-61 - 2010
- [j8]Feras N. Al-Obeidat, Nabil Belacel, Juan A. Carretero, Prabhat Mahanti:
Differential Evolution for learning the classification method PROAFTN. Knowl. Based Syst. 23(5): 418-426 (2010) - [c7]Feras N. Al-Obeidat, Nabil Belacel, Juan A. Carretero, Prabhat Mahanti:
Automatic Parameter Settings for the PROAFTN Classifier Using Hybrid Particle Swarm Optimization. Canadian AI 2010: 184-195
2000 – 2009
- 2009
- [c6]Imen Sassi, Nabil Belacel, Yassine Bouslimani, Habib Hamam:
Multicriteria PCF Design: An Accurate Photonic Crystal Fiber Design Tool. CNSR 2009: 252-256 - [c5]Si He, Nabil Belacel, Habib Hamam, Yassine Bouslimani:
Fuzzy Clustering with Improved Artificial Fish Swarm Algorithm. CSO (2) 2009: 317-321 - [c4]Feras N. Al-Obeidat, Nabil Belacel, Prabhat Mahanti, Juan A. Carretero:
Discretization Techniques and Genetic Algorithm for Learning the Classification Method PROAFTN. ICMLA 2009: 685-688 - [c3]Wassim Bouachir, Mustapha Kardouchi, Nabil Belacel:
Improving Bag of Visual Words Image Retrieval: A Fuzzy Weighting Scheme for Efficient Indexation. SITIS 2009: 215-220 - 2008
- [c2]Christa Wang, Nabil Belacel:
VNSOptClust: A Variable Neighborhood Search Based Approach for Unsupervised Anomaly Detection. MCO 2008: 607-616 - 2007
- [j7]Nabil Belacel, Hiral Bhasker Raval, Abraham P. Punnen:
Learning multicriteria fuzzy classification method PROAFTN from data. Comput. Oper. Res. 34(7): 1885-1898 (2007) - 2004
- [j6]Nabil Belacel, Miroslava Cuperlovic-Culf, Mark Laflamme, Rodney Ouellette:
Fuzzy J-Means and VNS methods for clustering genes from microarray data. Bioinform. 20(11): 1690-1701 (2004) - [j5]Nabil Belacel, Mohamed Rachid Boulassel:
Multicriteria fuzzy classification procedure PROCFTN: methodology and medical application. Fuzzy Sets Syst. 141(2): 203-217 (2004) - 2003
- [c1]Yu Guan, Ali A. Ghorbani, Nabil Belacel:
An Unsupervised Clustering Algorithm for Intrusion Detection. AI 2003: 616-617 - 2002
- [j4]Nabil Belacel, Pierre Hansen, Nenad Mladenovic:
Fuzzy J-Means: a new heuristic for fuzzy clustering. Pattern Recognit. 35(10): 2193-2200 (2002) - 2001
- [j3]Nabil Belacel, Mohamed Rachid Boulassel:
Multicriteria fuzzy assignment method: a useful tool to assist medical diagnosis. Artif. Intell. Medicine 21(1-3): 201-207 (2001) - [j2]Nabil Belacel, Philippe Vincke, J. M. Scheiff, Mohamed Rachid Boulassel:
Acute leukemia diagnosis aid using multicriteria fuzzy assignment methodology. Comput. Methods Programs Biomed. 64(2): 145-151 (2001) - 2000
- [j1]Nabil Belacel:
Multicriteria assignment method PROAFTN: Methodology and medical application. Eur. J. Oper. Res. 125(1): 175-183 (2000)
Coauthor Index
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