Mohamed Medhat Gaber
Orcid: 0000-0003-0339-4474Affiliations:
- Birmingham City University, UK
- Galala University, Egypt
- Robert Gordon University (former)
According to our database1,
Mohamed Medhat Gaber
authored at least 184 papers
between 2004 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Int. J. Mach. Learn. Cybern., June, 2025
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification.
CoRR, May, 2025
PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms.
CoRR, March, 2025
CoRR, January, 2025
2024
Enhancing Resilience in IoT Water Systems Using Data-Intelligence and Decentralization.
IEEE Internet Things Mag., November, 2024
DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification.
IEEE Open J. Comput. Soc., 2024
Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025).
CoRR, 2024
CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking.
CoRR, 2024
Human-in-the-Loop Learning With LLMs for Efficient RASE Tagging in Building Compliance Regulations.
IEEE Access, 2024
2023
Appl. Intell., November, 2023
AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification.
Appl. Soft Comput., October, 2023
Inf. Sci., May, 2023
SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer.
Expert Syst. Appl., April, 2023
Int. J. Mach. Learn. Cybern., February, 2023
From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
TTL: transformer-based two-phase transfer learning for cross-lingual news event detection.
Int. J. Mach. Learn. Cybern., 2023
Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs.
Discov. Artif. Intell., 2023
FedNets: Federated Learning on Edge Devices Using Ensembles of Pruned Deep Neural Networks.
IEEE Access, 2023
Proceedings of the 11th Linked Data in Architecture and Construction Workshop, 2023
Proceedings of the 1st Workshop on Enhanced Network Techniques and Technologies for the Industrial IoT to Cloud Continuum, 2023
FBA-SDN: A Federated Byzantine Approach for Blockchain-Based Collaborative Intrusion Detection in Edge SDN.
Proceedings of the IEEE International Conference on Communications, 2023
2022
WIREs Data Mining Knowl. Discov., 2022
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification.
IEEE Trans. Biomed. Eng., 2022
XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification.
Sensors, 2022
Pattern Recognit. Lett., 2022
Embed2Detect: temporally clustered embedded words for event detection in social media.
Mach. Learn., 2022
PGraphD*: Methods for Drift Detection and Localisation Using Deep Learning Modelling of Business Processes.
Entropy, 2022
Data, 2022
Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords - Machine Learning as a Case Study.
Big Data Cogn. Comput., 2022
Agent-Based Simulations Using Genetic Algorithm Calibration: A Children's Services Application.
IEEE Access, 2022
2021
WIREs Data Mining Knowl. Discov., 2021
4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection.
IEEE Trans. Neural Networks Learn. Syst., 2021
Inf., 2021
3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images.
Entropy, 2021
Comput. Electr. Eng., 2021
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network.
Appl. Intell., 2021
On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images.
Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021
Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
2020
Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series.
Mach. Learn., 2020
Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences.
BMC Medical Informatics Decis. Mak., 2020
A non-canonical hybrid metaheuristic approach to adaptive data stream classification.
Future Gener. Comput. Syst., 2020
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification.
CoRR, 2020
CoRR, 2020
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks.
CoRR, 2020
Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach.
Computing, 2020
Big Data Cogn. Comput., 2020
IEEE Access, 2020
DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks.
IEEE Access, 2020
2019
WIREs Data Mining Knowl. Discov., 2019
An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis.
J. Ambient Intell. Humaniz. Comput., 2019
Data Min. Knowl. Discov., 2019
A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education.
CoRR, 2019
RED-GENE: An Evolutionary Game Theoretic Approach to Adaptive Data Stream Classification.
IEEE Access, 2019
Leap2Trend: A Temporal Word Embedding Approach for Instant Detection of Emerging Scientific Trends.
IEEE Access, 2019
A Non-Intrusive Heuristic for Energy Messaging Intervention Modeled Using a Novel Agent-Based Approach.
IEEE Access, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 6th Annual International Conference on Arab Women in Computing, 2019
2018
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection.
CoRR, 2018
Big Data Cogn. Comput., 2018
Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
An Agent-Based Collective Model to Simulate Peer Pressure Effect on Energy Consumption.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018
Cascading Probability Distributions in Agent-Based Models: An Application to Behavioural Energy Wastage.
Proceedings of the Artificial Intelligence and Soft Computing, 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
2017
Smart Learn. Environ., 2017
RedEdge: A Novel Architecture for Big Data Processing in Mobile Edge Computing Environments.
J. Sens. Actuator Networks, 2017
A genetic algorithm approach to optimising random forests applied to class engineered data.
Inf. Sci., 2017
On expressiveness and uncertainty awareness in rule-based classification for data streams.
Neurocomputing, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
A Hybrid Agent-Based and Probabilistic Model for Fine-Grained Behavioural Energy Waste Simulation.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
2016
A fine-grained Random Forests using class decomposition: an application to medical diagnosis.
Neural Comput. Appl., 2016
A rule dynamics approach to event detection in Twitter with its application to sports and politics.
Expert Syst. Appl., 2016
Proceedings of the International Conference on Internet of Things and Cloud Computing, 2016
A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the Engineering Applications of Neural Networks, 2016
Proceedings of the Engineering Applications of Neural Networks, 2016
2015
Trans. Large Scale Data Knowl. Centered Syst., 2015
Neurocomputing, 2015
Neurocomputing, 2015
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests.
CoRR, 2015
CoRR, 2015
On the Relationship between Variational Level Set-Based and SOM-Based Active Contours.
Comput. Intell. Neurosci., 2015
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015
Proceedings of the 19th IEEE International Conference on Computer Supported Cooperative Work in Design, 2015
2014
Data stream mining in ubiquitous environments: state-of-the-art and current directions.
WIREs Data Mining Knowl. Discov., 2014
IEEE Trans. Neural Networks Learn. Syst., 2014
SIGKDD Explor., 2014
J. Data Min. Digit. Humanit., 2014
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Extraction of Unexpected Rules from Twitter Hashtags and its Application to Sport Events.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
Progressive Data Stream Mining and Transaction Classification for Workload-Aware Incremental Database Repartitioning.
Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014
2013
WIREs Data Mining Knowl. Discov., 2013
J. Organ. Comput. Electron. Commer., 2013
J. Comput. Syst. Sci., 2013
Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection.
Int. J. Inf. Technol. Decis. Mak., 2013
An Information-Theoretic Approach for Setting the Optimal Number of Decision Trees in Random Forests.
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the Research and Development in Intelligent Systems XXX, 2013
Proceedings of the Artificial Intelligence and Soft Computing, 2013
Proceedings of the Artificial Intelligence and Soft Computing, 2013
2012
Trans. Large Scale Data Knowl. Centered Syst., 2012
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
Proceedings of the Intelligent Distributed Computing VI - Proceedings of the 6th International Symposium on Intelligent Distributed Computing, 2012
Deploying Mobile Software Agents for Distributed Data Mining on Wireless Sensor Networks: A Comparative Analysis.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Data Warehousing and Knowledge Discovery, 2012
Proceedings of the Advanced Machine Learning Technologies and Applications, 2012
2011
Trans. Large Scale Data Knowl. Centered Syst., 2011
Knowl. Inf. Syst., 2011
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011
Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
Proceedings of the Semantic Services, Interoperability and Web Applications, 2011
2010
Proceedings of the Pervasive Computing, 2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Proceedings of the ICDMW 2010, 2010
Proceedings of the Database Systems for Advanced Applications, 2010
Proceedings of the Scientific Data Mining and Knowledge Discovery, 2010
2009
Proceedings of the Foundations of Computational Intelligence - Volume 6: Data Mining, 2009
An analytical study of central and in-network data processing for wireless sensor networks.
Inf. Process. Lett., 2009
Int. J. Semantic Web Inf. Syst., 2009
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009
Proceedings of the 2009 international conference on Pervasive services, 2009
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009
2008
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Proceedings of the Knowledge Discovery from Sensor Data, 2008
ARTS: Adaptive Rule Triggers on Sensors for Energy Conservation in Applications using Coarse-Granularity Data.
Proceedings of the International Conference on Embedded Software and Systems, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the Smart Sensing and Context, Third European Conference, 2008
Enabling Resource-Awareness for In-Network Data Processing in Wireless Sensor Networks.
Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008
2007
Proceedings of the Data Streams - Models and Algorithms, 2007
A fuzzy approach for interpretation of ubiquitous data stream clustering and its application in road safety.
Intell. Data Anal., 2007
On the Integration of Data Stream Clustering into a Query Processor for Wireless Sensor Networks.
Proceedings of the 8th International Conference on Mobile Data Management (MDM 2007), 2007
Proceedings of the Embedded Software and Systems, [Third] International Conference, 2007
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
2006
New Gener. Comput., 2006
Int. J. Inf. Technol. Decis. Mak., 2006
A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006
Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining.
Proceedings of the Ubiquitous Computing, 2006
2005
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
2004
A Wireless Data Stream Mining Model.
Proceedings of the Wireless Information Systems, 2004
Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004