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Khalid El Fahssi

Observed names: El Fahssi, Khalid, Khalid El fahssi
ORCID: 0009-0005-9516-5880
Observed ORCID: 0009-0005-9516-5880
OpenAlex ID: A5013421650
Anomaly classification in digital mammography based on multiple‐instance learning
2017 · Abdelali Elmoufidi, Khalid El Fahssi, et al. · IET Image Processing · 46
Automatically density based breast segmentation for mammograms by using dynamic K-means algorithm and Seed Based Region Growing
2015 · Abdelali Elmoufidi, Khalid El Fahssi, et al. · IEEE International Instrumentation and Measurement Technology Conference · 26
Detection of regions of interest's in mammograms by using local binary pattern, dynamic k-means algorithm and gray level co-occurrence matrix
2014 · Abdelali Elmoufidi, Khalid El Fahssi, et al. · 24
Detection of Regions of Interest in Mammograms by Using Local Binary Pattern and Dynamic K-Means Algorithm
2015 · Abdelali Elmoufidi, Khalid El Fahssi, et al. · 10
Automatic Detection of Suspicious Lesions in Digital X-ray Mammograms
2016 · Abdelali Elmoufidi, Khalid El Fahssi, et al. · Lecture notes in electrical engineering · 8
Machine Learning Techniques for Predicting and Classifying Exchange Rates between US Dollars and Japanese Yen
2024 · Mohamed El Mahjouby, Khalid El Fahssi, et al. · Engineering Technology & Applied Science Research · 4
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The decision trees and the optimization of resources in Big Data solutions
2020 · Youssf En-nattouh, Khalid El fahssi, et al. · International Conference on Intelligent Computing in Data Sciences (ICDS) · 3
Boosting stroke prediction with ensemble learning on imbalanced healthcare data
2025 · Outmane Labaybi, Mohamed Bennani Taj, et al. · Indonesian Journal of Electrical Engineering and Computer Science · 2
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Mass segmentation in mammograms based on the minimisation of energy and active contour model
2014 · Khalid El Fahssi, Abdelali Elmoufidi, et al. · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · 2
Method and algorithm for mass segmentation in mammograms based on the minimisation of energy and active contour model
2014 · Khalid El Fahssi, Abdenbi Abenaou, et al. · International Symposium on Medical Information and Communication Technology · 2
A Comparative Evaluation of SARIMAX, LSTM, and Prophet Models for Cryptocurrency Price Trend Prediction
2026 · Drissia Ennagoura, Kamal El Kehal, et al. · Engineering Technology & Applied Science Research · 1
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Data Sampling Frequency Effects on Risk-Adjusted Cryptocurrency Portfolio Construction
2026 · Kamal El Kehal, Drissia Ennagoura, et al. · Engineering Technology & Applied Science Research · 1
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Comparative Analysis of LSTM and XGBoost for Cryptocurrency Trend Prediction
2025 · Drissia Ennagoura, Kamal El Kehal, et al. · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) · 1
Forecasting Trends in Cryptocurrencies through the Application of Association Rule Mining Techniques
2024 · Mohamed EL Mahjouby, Bennani M Taj, et al. · International Journal of Computing and Digital Systems · 1
Systematic Evaluation of Dropout Regularization Rates for EfficientNet-B0 in Multiclass Brain Tumor MRI Classification
2026 · Bakkas, Othmane, Ennagoura, Drissia, et al. · Zenodo (CERN European Organization for Nuclear Research)
Statistically Validated Comparison of ResNet50 and EfficientNet-B0 for Explainable Brain Tumor Classification
2026 · Bakkas, Othmane, Ennagoura, Drissia, et al. · Zenodo (CERN European Organization for Nuclear Research)
Enhancing Traffic Signal Control via Lightweight Reward Function Design in Multi-Agent Reinforcement Learning
2026 · Nada Faqir, Jaouad Boumhidi, et al. · International Conference on Circuit, Systems and Communication (ICCSC)
Multi-Timeframe Forecasting of Ethereum Prices: A Comparative Study of Statistical and Deep Learning Models
2026 · Drissia Ennagoura, Kamal El Kehal, et al. · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA)
Neuro-Oncology Benchmark: The Resource-Interpretability Tradeoff in Radiomics and Multiclass Brain Tumor Classification Based on Deep Transfer Learning vs Handcrafted Radiomics
2026 · Othmane Bakkas, Drissia Ennagoura, et al. · SSRN Electronic Journal
Exploring parents’ perceptions of sex education pedagogy in Moroccan schools using an association rules mining-based algorithm
2025 · Chaymae Ben Azza, Sara El Hamdani, et al. · Indonesian Journal of Electrical Engineering and Computer Science
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Simple RNN-LSTM hybrid deep learning model for Bitcoin and EUR_USD forecasting
2024 · Mohamed EL Mahjouby, Khalid El Fahssi, et al. · TELKOMNIKA (Telecommunication Computing Electronics and Control)
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Utilizing Deep Learning and Machine Learning Methods to Forecast Market Performance
2024 · Mohamed El Mahjouby, Khalid El Fahssi, et al. · International Conference on Intelligent Computing in Data Sciences (ICDS)
Comparing Leach protocol and its descendants on transferring scalar data
2024 · Mohamed Taj Bennani, Abdelali Zbakh, et al. · Indonesian Journal of Electrical Engineering and Computer Science
Works count: 24
Citation count: 131
H-index: 5
I10-index: 4
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