Mohamed Bahy Bader-El-Den

Orcid: 0000-0002-1123-6823

According to our database1, Mohamed Bahy Bader-El-Den authored at least 66 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Session context data integration to address the cold start problem in e-commerce recommender systems.
Decis. Support Syst., 2024

Adaptive CNN Method for Prostate MR Image Segmentation Using Ensemble Learning.
Proceedings of the Artificial Intelligence XLI, 2024

Machine Learning Approach into Bacterial Relationship: Exploring 16S rRNA Metabarcoding with Association Rule Mining.
Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

Enhanced Dataset Synthesis Using CTGAN for Metagenomic Dataset.
Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

Machine Learning for Bacterial Growth Prediction and Examination of Bacterial Impact on Growth.
Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

2023
Self-optimised cost-sensitive classifiers for early field failure prediction in storage systems.
Swarm Evol. Comput., December, 2023

Implicit Feedback Awareness for Session Based Recommendation in E-Commerce.
SN Comput. Sci., May, 2023

Hybrid System for Prostate MR Image Segmentation Using Expert Knowledge and Machine Learning.
Proceedings of the Artificial Intelligence XL, 2023

Bias in Recommender Systems: Item Price Perspective.
Proceedings of the Artificial Intelligence XL, 2023

Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process.
Proceedings of the Advances in Information Systems, Artificial Intelligence and Knowledge Management, 2023

2022
Application of Supervised Machine Learning Methods on the Multidimensional Knapsack Problem.
Neural Process. Lett., 2022

2021
Towards early purchase intention prediction in online session based retailing systems.
Electron. Mark., 2021

Evolutionary Computation Approach for Spatial Workload Balancing.
Proceedings of the Intelligent Computing, 2021

Improved Session-based Recommender System by Context Awareness in e-Commerce Domain.
Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

2020
Predicting hospital mortality for intensive care unit patients: Time-series analysis.
Health Informatics J., 2020

Application of Deep Learning in Cardiovascular Medicine using Multiple Biomedical Data.
Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Improving Session-Based Recommendation Adopting Linear Regression-Based Re-ranking.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Using Word2Vec Recommendation for Improved Purchase Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Analysing the Effect of Platform and Operating System Features on Predicting Consumers' Purchase Intent using Machine Learning Algorithms.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

Session Similarity based Approach for Alleviating Cold-start Session Problem in e-Commerce for Top-N Recommendations.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

2019
Biased Random Forest For Dealing With the Class Imbalance Problem.
IEEE Trans. Neural Networks Learn. Syst., 2019

A customised grammar framework for query classification.
Expert Syst. Appl., 2019

Domain Specific Grammar based Classification for Factoid Questions.
Proceedings of the 15th International Conference on Web Information Systems and Technologies, 2019

Improving Imbalanced Students' Text Feedback Classification Using Re-sampling Based Approach.
Proceedings of the Advances in Computational Intelligence Systems, 2019

Improving Session Based Recommendation by Diversity Awareness.
Proceedings of the Advances in Computational Intelligence Systems, 2019

Context and Short Term User Intention Aware Hybrid Session Based Recommendation System.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

2018
Guided genetic algorithm for the multidimensional knapsack problem.
Memetic Comput., 2018

Question categorization and classification using grammar based approach.
Inf. Process. Manag., 2018

Classification of factoid questions intent using grammatical features.
ICT Express, 2018

Mining Unit Feedback to Explore Students' Learning Experiences.
Proceedings of the Advances in Computational Intelligence Systems, 2018

Detecting Question Intention Using a K-Nearest Neighbor Based Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Incremental Learning for Large Scale Classification Systems.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Improving Imbalanced Question Classification Using Structured Smote Based Approach.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Analysis of The Syntactical Structure Of Web Queries.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Towards Context-Aware Syntax Parsing and Tagging.
Proceedings of the 2018 Imperial College Computing Student Workshop, 2018

A Data Mining Framework for Analyzing Students' Feedback of Assessment.
Proceedings of the 13th EC-TEL Doctoral Consortium co-located with 13th European Conference on Technology Enhanced Learning (EC-TEL 2018), 2018

2017
Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
Int. J. Medical Informatics, 2017

Hybrid functional networks for oil reservoir PVT characterisation.
Expert Syst. Appl., 2017

Web Queries Classification Based on the Syntactical Patterns of Search Types.
Proceedings of the Speech and Computer - 19th International Conference, 2017

Finding most reliable paths for software defined networks.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

Domain specific syntax based approach for text classification in machine learning context.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Knowledge-based Genetic Algorithm for the 0-1 Multidimensional Knapsack Problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Hierarchical classification for dealing with the Class imbalance problem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Oil PVT characterisation using ensemble systems.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Where students go and how they do: Wi-Fi location data versus academic performance.
Proceedings of the 9th International Conference on Human System Interactions, 2016

Fuzzy systems with multiple rule bases for selection of alternatives using TOPSIS.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Search-Based SQL Injection Attacks Testing Using Genetic Programming.
Proceedings of the Genetic Programming - 19th European Conference, 2016

Evolving local search heuristics for the integrated berth allocation and quay crane assignment problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Mathematical function optimization using a novel algorithm based on Newtonian field theory.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Imbalanced Classification Using Genetically Optimized Random Forests.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Memetic Algorithm for Solving the 0-1 Multidimensional Knapsack Problem.
Proceedings of the Progress in Artificial Intelligence, 2015

Imbalanced classification using genetically optimized cost sensitive classifiers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Self-adaptive heterogeneous random forest.
Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014

2012
Optimisation of Ensemble Classifiers using Genetic Algorithm.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

GARF: Towards Self-optimised Random Forests.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2010
Genetic Programming for Auction Based Scheduling.
Proceedings of the Genetic Programming, 13th European Conference, 2010

Co-evolutionary hyper-heuristic method for auction based scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Investigation of genetic programming as a hyper-heuristic for combinatorial optimization.
PhD thesis, 2009

Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework.
Memetic Comput., 2009

Evolving Effective Bidding Functions for Auction based Resource Allocation Framework.
Proceedings of the IJCCI 2009, 2009

Grammar-based genetic programming for timetabling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Evolving heuristics with genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Inc*: An Incremental Approach for Improving Local Search Heuristics.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2008

Analysis and extension of the Inc* on the satisfiability testing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
A GP-based hyper-heuristic framework for evolving 3-SAT heuristics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework.
Proceedings of the Artificial Evolution, 2007


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