Mohamed Medhat Gaber

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 92

Top Venues

CoRR

IEEE Access

WIREs Data Mining Knowl. Discov.

Neurocomputing

Publications

Suhaib Chughtai, Zakaria Senousy, Ahmed Mahany, Nouh Sabri Elmitwally, Khalid N. Ismail, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification. IEEE Open J. Comput. Soc. 5 (2024)
Hansi Hettiarachchi, Amna Dridi, Mohamed Medhat Gaber, Pouyan Parsafard, Nicoleta Bocaneala, Katja Breitenfelder, Gonçal Costa Jutglar, Maria M. Hedblom, Mihaela Juganaru-Mathieu, Thamer Mecharnia, Sumee Park, He Tan, Abdel-Rahman H. Tawil, Edlira Vakaj
CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking. CoRR (2024)
Besher Alhalabi, Shadi Basurra, Mohamed Medhat Gaber
FedNets: Federated Learning on Edge Devices Using Ensembles of Pruned Deep Neural Networks. IEEE Access 11 (2023)
John Hayes, Adel Aneiba, Mohamed Medhat Gaber, Md Shantanu Islam, Raouf Abozariba
FBA-SDN: A Federated Byzantine Approach for Blockchain-Based Collaborative Intrusion Detection in Edge SDN. ICC Workshops (2023)
Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer. Expert Syst. Appl. 216 (2023)
Usama Zidan, Hamdy A. El Desouky, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Edlira Vakaj, Maxime Lefrançois, Amna Dridi, Thomas Beach, Mohamed Medhat Gaber, Gonçal Costa Jutglar, He Tan
Semantisation of rules for automated compliance checking. LDAC (2023)
Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
TTL: transformer-based two-phase transfer learning for cross-lingual news event detection. Int. J. Mach. Learn. Cybern. 14 (8) (2023)
Zakaria Senousy, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification. Appl. Soft Comput. 146 (2023)
Lorraine Chambers, Mohamed Medhat Gaber, Hossein Ghomeshi
AdaDeepStream: streaming adaptation to concept evolution in deep neural networks. Appl. Intell. 53 (22) (2023)
Hani Ragab Hassen, Yassin Zain Alabdeen, Mohamed Medhat Gaber, Megha Sharma
D2TS: a dual diversity tree selection approach to pruning of random forests. Int. J. Mach. Learn. Cybern. 14 (2) (2023)
John Hayes, Adel Aneiba, Mohamed Medhat Gaber
SymbIoT: Towards An Extensible Blockchain Integration Testbed for IIoT. IIoT-NETs@SIGCOMM (2023)
Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
WhatsUp: An event resolution approach for co-occurring events in social media. Inf. Sci. 625 (2023)
Patryk Buczek, Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs. Discov. Artif. Intell. 3 (1) (2023)
Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification. Sensors 22 (24) (2022)
Khadijah Muzzammil Hanga, Yevgeniya Kovalchuk, Mohamed Medhat Gaber
PGraphD*: Methods for Drift Detection and Localisation Using Deep Learning Modelling of Business Processes. Entropy 24 (7) (2022)
Hansi Hettiarachchi, Doaa Al-Turkey, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
TED-S: Twitter Event Data in Sports and Politics with Aggregated Sentiments. Data 7 (7) (2022)
Luke White, Shadi Basurra, Mohamed Medhat Gaber, AbdulRahman A. Al-Sewari, Faisal Saeed, Sudhamshu Mohan Addanki
Agent-Based Simulations Using Genetic Algorithm Calibration: A Children's Services Application. IEEE Access 10 (2022)
Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Lorraine Chambers, Mohamed Medhat Gaber
DeepStreamOS: Fast open-Set classification for convolutional neural networks. Pattern Recognit. Lett. 154 (2022)
Mohammed M. Abdelsamea, Usama Zidan, Zakaria Senousy, Mohamed Medhat Gaber, Emad Rakha, Mohammad Ilyas
A survey on artificial intelligence in histopathology image analysis. WIREs Data Mining Knowl. Discov. 12 (6) (2022)
Amna Dridi, Mohamed Medhat Gaber, Raja Muhammad Atif Azad, Jagdev Bhogal
Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords - Machine Learning as a Case Study. Big Data Cogn. Comput. 6 (1) (2022)
Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
Embed2Detect: temporally clustered embedded words for event detection in social media. Mach. Learn. 111 (1) (2022)
Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR (2021)
Zakaria Senousy, Mohammed M. Abdelsamea, Mona Mostafa Mohamed, Mohamed Medhat Gaber
3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images. Entropy 23 (5) (2021)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. Appl. Intell. 51 (2) (2021)
Saif Alzubi, Frederic T. Stahl, Mohamed Medhat Gaber
Towards Intrusion Detection Of Previously Unknown Network Attacks. ECMS (2021)
Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basura
MicroNets: A multi-phase pruning pipeline to deep ensemble learning in IoT devices. Comput. Electr. Eng. 96 (Part) (2021)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Nicole P. Mugova, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images. ECMS (2021)
Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. DSAA (2021)
Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
Scholarly data mining: A systematic review of its applications. WIREs Data Mining Knowl. Discov. 11 (2) (2021)
Frederic T. Stahl, Thien Le, Atta Badii, Mohamed Medhat Gaber
A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams. Inf. 12 (1) (2021)
Julian Hatwell, Mohamed Medhat Gaber, R. Muhammad Atif Azad
Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Zahraa S. Abdallah, Mohamed Medhat Gaber
Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series. Mach. Learn. 109 (11) (2020)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. CoRR (2020)
Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media. CoRR (2020)
Khaled Fawagreh, Mohamed Medhat Gaber
Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach. Computing 102 (5) (2020)
Julian Hatwell, Mohamed Medhat Gaber, R. Muhammad Atif Azad
CHIRPS: Explaining random forest classification. Artif. Intell. Rev. 53 (8) (2020)
Khaled Fawagreh, Mohamed Medhat Gaber
eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning. Big Data Cogn. Comput. 4 (4) (2020)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection. CoRR (2020)
Khadijah M. Hanga, Yevgeniya Kovalchuk, Mohamed Medhat Gaber
A Graph-Based Approach to Interpreting Recurrent Neural Networks in Process Mining. IEEE Access 8 (2020)
Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
A non-canonical hybrid metaheuristic approach to adaptive data stream classification. Future Gener. Comput. Syst. 102 (2020)
Zahraa S. Abdallah, Mohamed Medhat Gaber
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification. CoRR (2020)
Lorraine Chambers, Mohamed Medhat Gaber, Zahraa S. Abdallah
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks. CoRR (2020)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks. IEEE Access 8 (2020)
Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra
Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT. CoRR (2020)
Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. IJCNN (2019)
Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles. CoRR (2019)
Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
RED-GENE: An Evolutionary Game Theoretic Approach to Adaptive Data Stream Classification. IEEE Access 7 (2019)
Alfredo Cuzzocrea, Mohamed Medhat Gaber, Edoardo Fadda, Giorgio Mario Grasso
An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis. J. Ambient Intell. Humaniz. Comput. 10 (9) (2019)
Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
EACD: evolutionary adaptation to concept drifts in data streams. Data Min. Knowl. Discov. 33 (3) (2019)
Mona Nabil Demaidi, Mohamed Medhat Gaber
TONE: A Method for Terminological Ontology Evaluation. ArabWIC (2019)
Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education. CoRR (2019)
Mohamed Medhat Gaber, Adel Aneiba, Shadi Basurra, Oliver Batty, Ahmed M. Elmisery, Yevgeniya Kovalchuk, Muhammad Habib Ur Rehman
Internet of Things and data mining: From applications to techniques and systems. WIREs Data Mining Knowl. Discov. 9 (3) (2019)
Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber
A Non-Intrusive Heuristic for Energy Messaging Intervention Modeled Using a Novel Agent-Based Approach. IEEE Access 7 (2019)
Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
Leap2Trend: A Temporal Word Embedding Approach for Instant Detection of Emerging Scientific Trends. IEEE Access 7 (2019)
Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles. SMC (2019)
Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. DS (2018)
Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
Activity Recognition with Evolving Data Streams: A Review. ACM Comput. Surv. 51 (4) (2018)
Mona Nabil Demaidi, Mohamed Medhat Gaber, Nick Filer
OntoPeFeGe: Ontology-Based Personalized Feedback Generator. IEEE Access 6 (2018)
Mahmut Yazici, Shadi Basurra, Mohamed Medhat Gaber
Edge Machine Learning: Enabling Smart Internet of Things Applications. Big Data Cogn. Comput. 2 (3) (2018)
Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber
An Agent-Based Collective Model to Simulate Peer Pressure Effect on Energy Consumption. ICCCI (1) (2018)
Diana Haidar, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection. CoRR (2018)
Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber
Cascading Probability Distributions in Agent-Based Models: An Application to Behavioural Energy Wastage. ICAISC (2) (2018)
Diana Haidar, Mohamed Medhat Gaber
Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats. IJCNN (2018)
Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne
Deep imitation learning for 3D navigation tasks. Neural Comput. Appl. 29 (7) (2018)
Mona Nabil Demaidi, Mohamed Medhat Gaber, Nick Filer
Evaluating the quality of the ontology-based auto-generated questions. Smart Learn. Environ. 4 (1) (2017)
Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
A SOM-based Chan-Vese model for unsupervised image segmentation. Soft Comput. 21 (8) (2017)
Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan, Chrisina Jayne
Imitation Learning: A Survey of Learning Methods. ACM Comput. Surv. 50 (2) (2017)
Eyad Elyan, Mohamed Medhat Gaber
A genetic algorithm approach to optimising random forests applied to class engineered data. Inf. Sci. 384 (2017)
Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber
A Hybrid Agent-Based and Probabilistic Model for Fine-Grained Behavioural Energy Waste Simulation. ICTAI (2017)
Muhammad Habib Ur Rehman, Prem Prakash Jayaraman, Saif Ur Rehman Malik, Atta ur Rehman Khan, Mohamed Medhat Gaber
RedEdge: A Novel Architecture for Big Data Processing in Mobile Edge Computing Environments. J. Sens. Actuator Networks 6 (3) (2017)
Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne
Deep reward shaping from demonstrations. IJCNN (2017)
Thien Le, Frederic T. Stahl, Mohamed Medhat Gaber, João Bártolo Gomes, Giuseppe Di Fatta
On expressiveness and uncertainty awareness in rule-based classification for data streams. Neurocomputing 265 (2017)
Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
AnyNovel: detection of novel concepts in evolving data streams. Evol. Syst. 7 (2) (2016)
Alfredo Cuzzocrea, Mohamed Medhat Gaber, Staci Lattimer, Giorgio Mario Grasso
Clustering-Based Spatio-Temporal Analysis of Big Atmospheric Data. ICC 2016 (2016)
Eyad Elyan, Mohamed Medhat Gaber
A fine-grained Random Forests using class decomposition: an application to medical diagnosis. Neural Comput. Appl. 27 (8) (2016)
Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martín-Dancausa, Frederic T. Stahl, João Bártolo Gomes
A rule dynamics approach to event detection in Twitter with its application to sports and politics. Expert Syst. Appl. 55 (2016)
Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan
Deep Active Learning for Autonomous Navigation. EANN (2016)
Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests. EANN (2016)
Thien Le, Frederic T. Stahl, Chris Wrench, Mohamed Medhat Gaber
A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements. ICMLA (2016)
Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests. SGAI Conf. (2015)
Frederic T. Stahl, David May, Hugo Mills, Max Bramer, Mohamed Medhat Gaber
A Scalable Expressive Ensemble Learning Using Random Prism: A MapReduce Approach. Trans. Large Scale Data Knowl. Centered Syst. 20 (2015)
Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests. CoRR (2015)
Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications. CoRR (2015)
Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing 149 (2015)
Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests. SGAI Conf. (2015)
Alfredo Cuzzocrea, Mohamed Medhat Gaber, Staci Lattimer
Spatio-temporal analysis of Greenhouse Gas data via clustering techniques. CSCWD (2015)
Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber, Eyad Elyan
On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Comput. Intell. Neurosci. 2015 (2015)
Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
Adaptive mobile activity recognition system with evolving data streams. Neurocomputing 150 (2015)
Alfredo Cuzzocrea, Mohamed Medhat Gaber, Ary Mazharuddin Shiddiqi
Distributed Classification of Data Streams: An Adaptive Technique. DaWaK (2015)
Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
A Survey of Data Mining Techniques for Social Media Analysis. J. Data Min. Digit. Humanit. 2014 (2014)
Alfredo Cuzzocrea, Mohamed Medhat Gaber, Ary Mazharuddin Shiddiqi
Adaptive data stream mining for wireless sensor networks. IDEAS (2014)
Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
Diversified Random Forests Using Random Subspaces. IDEAL (2014)
João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
Mining Recurring Concepts in a Dynamic Feature Space. IEEE Trans. Neural Networks Learn. Syst. 25 (1) (2014)
Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology. IDEAL (2014)
Joarder Mohammad Mustafa Kamal, M. Manzur Murshed, Mohamed Medhat Gaber
Predicting Hot-Spots in Distributed Cloud Databases Using Association Rule Mining. UCC (2014)
Mohamed Medhat Gaber, João Gama, Shonali Krishnaswamy, João Bártolo Gomes, Frederic T. Stahl
Data stream mining in ubiquitous environments: state-of-the-art and current directions. WIREs Data Mining Knowl. Discov. 4 (2) (2014)
Thien Le, Frederic T. Stahl, João Bártolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta
Computationally Efficient Rule-Based Classification for Continuous Streaming Data. SGAI Conf. (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohamed Medhat Gaber