@article {Zerouaoui20221,
	title = {A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble},
	journal = {Data Technologies and Applications},
	year = {2022},
	note = {cited By 0},
	pages = {1-34},
	abstract = {Purpose: Hundreds of thousands of deaths each year in the world are caused by breast cancer (BC). An early-stage diagnosis of this disease can positively reduce the morbidity and mortality rate by helping to select the most appropriate treatment options, especially by using histological BC images for the diagnosis. Design/methodology/approach: The present study proposes and evaluates a novel approach which consists of 24 deep hybrid heterogenous ensembles that combine the strength of seven deep learning techniques (DenseNet 201, Inception V3, VGG16, VGG19, Inception-ResNet-V3, MobileNet V2 and ResNet 50) for feature extraction and four well-known classifiers (multi-layer perceptron, support vector machines, K-nearest neighbors and decision tree) by means of hard and weighted voting combination methods for histological classification of BC medical image. Furthermore, the best deep hybrid heterogenous ensembles were compared to the deep stacked ensembles to determine the best strategy to design the deep ensemble methods. The empirical evaluations used four classification performance criteria (accuracy, sensitivity, precision and F1-score), fivefold cross-validation, Scott{\textendash}Knott (SK) statistical test and Borda count voting method. All empirical evaluations were assessed using four performance measures, including accuracy, precision, recall and F1-score, and were over the histological BreakHis public dataset with four magnification factors (40{\texttimes}, 100{\texttimes}, 200{\texttimes} and 400{\texttimes}). SK statistical test and Borda count were also used to cluster the designed techniques and rank the techniques belonging to the best SK cluster, respectively. Findings: Results showed that the deep hybrid heterogenous ensembles outperformed both their singles and the deep stacked ensembles and reached the accuracy values of 96.3, 95.6, 96.3 and 94 per cent across the four magnification factors 40{\texttimes}, 100{\texttimes}, 200{\texttimes} and 400{\texttimes}, respectively. Originality/value: The proposed deep hybrid heterogenous ensembles can be applied for the BC diagnosis to assist pathologists in reducing the missed diagnoses and proposing adequate treatments for the patients. {\textcopyright} 2022, Emerald Publishing Limited.},
	keywords = {Borda Count, Breast Cancer, Computer aided diagnosis, Convolutional neural network, Convolutional neural networks, Decision trees, Deep convolutional neural network, Deep neural networks, Digital pathologies, Diseases, Empirical evaluations, Ensemble methods, F1 scores, Histological images, Image classification, Images processing, Medical imaging, Nearest neighbor search, Statistical tests, Support vector machines},
	doi = {10.1108/DTA-05-2022-0210},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140306559\&doi=10.1108\%2fDTA-05-2022-0210\&partnerID=40\&md5=52f113ae4cf2b14566d0b92c7140ffe1},
	author = {Zerouaoui, H. and Idri, A. and El Alaoui, O.}
}
@conference {Boujida2021102,
	title = {Neural networks based software development effort estimation: A systematic mapping study},
	booktitle = {Proceedings of the 16th International Conference on Software Technologies, ICSOFT 2021},
	year = {2021},
	note = {cited By 0},
	pages = {102-110},
	abstract = {Developing an efficient model that accurately predicts the development effort of a software project is an important task in software project management. Artificial neural networks (ANNs) are promising for building predictive models since their ability to learn from previous data, adapt and produce more accurate results. In this paper, we conducted a systematic mapping study of papers dealing with the estimation of software development effort based on artificial neural networks. In total, 80 relevant studies were identified between 1993 and 2020 and classified with respect to five criteria: publication source, research approach, contribution type, techniques used in combination with ANN models and type of the neural network used. The results showed that, most ANN-based software development effort estimation (SDEE) studies applied the history-based evaluation (HE) and solution proposal (SP) approaches. Besides, the feedforward neural network was the most frequently used ANN type among SDEE researchers. To improve the performance of ANN models, most papers employed optimization methods such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) in combination with ANN models. Copyright {\textcopyright} 2021 by SCITEPRESS {\textendash} Science and Technology Publications, Lda. All rights reserved},
	keywords = {Ann models, Feedforward neural networks, Genetic algorithms, Mapping, Optimization method, Particle swarm optimization (PSO), Predictive analytics, Predictive models, Project management, Research approach, Software design, Software development effort, Software project, Software project management, Systematic mapping studies},
	doi = {10.5220/0010603701020110},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111770639\&doi=10.5220\%2f0010603701020110\&partnerID=40\&md5=c4592c4b704daf3823eb5e9e3e1e5693},
	author = {Boujida, F.E. and Amazal, F.A. and Idri, A.}
}
@conference {Saissi2018111,
	title = {A new clustering approach to identify the values to query the deep web access forms},
	booktitle = {2018 4th International Conference on Computer and Technology Applications, ICCTA 2018},
	year = {2018},
	pages = {111-116},
	doi = {10.1109/CATA.2018.8398666},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050215563\&doi=10.1109\%2fCATA.2018.8398666\&partnerID=40\&md5=9301955ef076b676312ef8b2d6fa454a},
	author = {Saissi, Y. and Zellou, A. and Idri, A.}
}
@conference {Selma2018212,
	title = {A New Mapping Approach between XML Schemas in a P2P Environment},
	booktitle = {Proceedings - International Conference on Developments in eSystems Engineering, DeSE},
	year = {2018},
	pages = {212-217},
	doi = {10.1109/DeSE.2017.16},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056190704\&doi=10.1109\%2fDeSE.2017.16\&partnerID=40\&md5=9968d6ce7b4ae7d6fb9f91cb21c0281a},
	author = {Selma, E.Y.E.I. and Zellou, A. and Idri, A.}
}
@conference {Anter2016,
	title = {Nk-schemas: A novel algorithm for creating the view{\textquoteright} schemas to materialize in hybrid mediator},
	booktitle = {Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA},
	volume = {2016-July},
	year = {2016},
	note = {cited By 0},
	abstract = {The explosion of information and telecommunications technologies, has made easy the access and production of information. Thus, a very large mass of the latter has generated. This situation has made the integration systems an immediate necessity. Among these systems, there is the hybrid mediator. The latter interrogates one part of data on demand as in the virtual approach, while charging, filtering and storing the second part, as views, in a local database. The creation of this second part is a critical task. We propose in this paper, a new algorithm for creating views{\textquoteright} schemas to materialize in the hybrid integration system. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/AICCSA.2015.7507200},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84980416133\&doi=10.1109\%2fAICCSA.2015.7507200\&partnerID=40\&md5=1412e0fe0867141a2f0ec5a2e0034ebb},
	author = {Anter, S. and Zellou, A. and Idri, A.}
}
@conference {Anter2015,
	title = {Nk-schemas: A novel algorithm for creating the views{\textquoteright} sch{\'e}mas to materialize in hybrid mediator},
	booktitle = {Proceedings of 2015 IEEE World Conference on Complex Systems, WCCS 2015},
	year = {2015},
	note = {cited By 0},
	abstract = {The explosion of information and telecommunications technologies, has made easy the access and production of information. Thus, a very large mass of the latter has generated. This situation has made the integration systems an immediate necessity. Among these systems, there is the hybrid mediator. The latter interrogates one part of data on demand as in the virtual approach, while charging, filtering and storing the second part, as views, in a local database. The creation of this second part is a critical task. We propose in this paper, a new algorithm for creating views{\textquoteright} schemas to materialize in the hybrid integration system. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/ICoCS.2015.7483282},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978397930\&doi=10.1109\%2fICoCS.2015.7483282\&partnerID=40\&md5=c2f29f0e70dec9947e07f07a38190ec7},
	author = {Anter, S. and Zellou, A. and Idri, A.}
}
@conference {ElYazidi2013,
	title = {A new approach of mapping},
	booktitle = {2013 3rd International Symposium ISKO-Maghreb},
	year = {2013},
	note = {cited By 0},
	abstract = {Data integration involves combining data residing in different sources, and providing the user a unified view of this data. The problem of designing data integration systems is important in current applications of the real world, and the question which arises at the mapping is how to link the global schema and the set of local schemas of sources. In this paper, we present our approach of mapping for mediation systems, a new approach that focuses on two main aspects, the syntactic aspect that takes into account the structure and shape of the elements of schemas, and semantic aspect related to the meaning of the elements of schemas. {\textcopyright} 2013 IEEE.},
	doi = {10.1109/ISKO-Maghreb.2013.6728197},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894137287\&doi=10.1109\%2fISKO-Maghreb.2013.6728197\&partnerID=40\&md5=e43d0431faff27e488fadb9353329892},
	author = {El Yazidi, M.H. and Zellou, A. and Idri, A.}
}
