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您的检索式：作者名="Amina Mostafa"
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| 1 | A new correlation-based approach for ensemble selection in random forests显示文摘Purpose-Ensemble methods have been widely used in the field of pattern recognition due to the difficulty offinding a single classifier that performs well on a wide variety of problems.Despite the effectiveness of thesetechniques,studies have shown that ensemble methods generate a large number of hypotheses and thatcontain redundant classifiers in most cases.Several works proposed in the state of the art attempt to reduce allhypotheses without affecting performance.Design/methodology/approach-In this work,the authors are proposing a pruning method that takes intoconsideration the correlation between classifiers/classes and each classifier with the rest of the set.The authorshave used the random forest algorithm as trees-based ensemble classifiers and the pruning was made by atechnique inspired by the CFS(correlation feature selection)algorithm.Findings-The proposed method CES(correlation-based Ensemble Selection)was evaluated onten datasets from the UCI machine learning repository,and the performances were compared to sixensemble pruning techniques.The results showed that our proposed pruning method selects a smallensemble in a smaller amount of time while improving classification rates compared to the state-of-the-artmethods.Originality/value-CES is a new ordering-based method that uses the CFS algorithm.CES selects,in a shorttime,a small sub-ensemble that outperforms results obtained from the whole forest and the other state-of-thearttechniques used in this study. | Mostafa El Habib Daho Nesma Settouti Mohammed El Amine Bechar Amina Boublenza Mohammed Amine Chikh | 2021 | International Journal of Intelligent Computing and Cybernetics2021，14，2： | 1 |
| 2 | Gemcitabine followed by radiotherapy in treatment of newly diagnosed high-grade gliomas显示文摘Aim:High-grade glioblastoma multiforme(GBM)has a poor median overall survival(OS).The standard treatment after surgery is temozolomide and radiotherapy(RTH).Patients with unmethylated methylguanine-methyltransferase promoter(MGMT)have no or little benefit from temozolomide and are eligible for alternative therapies.Gemcitabine is a good radiosensitizer.We aimed to evaluate the combination of gemcitabine with RTH in newly diagnosed GBM.Methods:The study was a prospective phase II study.Eligible patients were required to have histologically proven anaplastic astrocytoma or GBM.Patients underwent biopsies or subtotal resection.The treatment consisted of fixed-dose rate gemcitabine 175 mg/m^(2) weekly followed after 24 h by standard cranial RTH for 6 weeks.Tumor response was evaluated by Macdonald criteria.In case of progression,patients received temozolomide(200 mg/m^(2)/5 days every 28 days).Results:T hirty patients w ith a median age of 52 years(30-69),73%/27%m ale/female,t he Eastern Cooperative Oncology Group performance status 1(range 0-2)were enrolled.Five patients had a partial-response(17%)and 13 stable-disease(43%).Median time to progression was 7.88 months(95%CI 6.1-9.69)and OS was 11.77 months(95%CI 9.97-13.56).The treatment was well tolerated with grade-3 neutropenia in 3,grade-3 anemia in 2 and impaired liver enzymes in 1 patient.Conclusion:Gemcitabine followed by radiotherapy is active and promising regimen in newly diagnosed GBM.Gemcitabine uptake is easy,with a long local retention of active metabolites,precluding systemic side effects of radiosensitization.In a phase III study this treatment should be evaluated in patients with unmethylated MGMT promoter who will not benefit from temozolomide. | Maha El-Naggar Mervat Omar Ahmed Elgeriany Godefridus J.Peters Amina Mostafa Samir Shehata | 2016 | Journal of Cancer Metastasis and Treatment2016，2，1： | 0 |
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