Mohamed Medhat Gaber

According to our database1, Mohamed Medhat Gaber authored at least 147 papers between 2004 and 2021.

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

Timeline

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Bibliography

2021
A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams.
Inf., 2021

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network.
Appl. Intell., 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

4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection.
CoRR, 2020

Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media.
CoRR, 2020

Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification.
CoRR, 2020

Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT.
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

eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning.
Big Data Cogn. Comput., 2020

CHIRPS: Explaining random forest classification.
Artif. Intell. Rev., 2020

A Graph-Based Approach to Interpreting Recurrent Neural Networks in Process Mining.
IEEE Access, 2020

DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks.
IEEE Access, 2020

2019
Internet of Things and data mining: From applications to techniques and systems.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2019

An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis.
J. Ambient Intell. Humaniz. Comput., 2019

EACD: evolutionary adaptation to concept drifts in data streams.
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

EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS.
Proceedings of the International Joint Conference on Neural Networks, 2019

TONE: A Method for Terminological Ontology Evaluation.
Proceedings of the 6th Annual International Conference on Arab Women in Computing, 2019

2018
Deep imitation learning for 3D navigation tasks.
Neural Comput. Appl., 2018

Activity Recognition with Evolving Data Streams: A Review.
ACM Comput. Surv., 2018

AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection.
CoRR, 2018

Edge Machine Learning: Enabling Smart Internet of Things Applications.
Big Data Cogn. Comput., 2018

OntoPeFeGe: Ontology-Based Personalized Feedback Generator.
IEEE Access, 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

k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text.
Proceedings of the Discovery Science - 21st International Conference, 2018

2017
A SOM-based Chan-Vese model for unsupervised image segmentation.
Soft Comput., 2017

Evaluating the quality of the ontology-based auto-generated questions.
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

Imitation Learning: A Survey of Learning Methods.
ACM Comput. Surv., 2017

Deep reward shaping from demonstrations.
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

AnyNovel: detection of novel concepts in evolving data streams.
Evol. Syst., 2016

A rule dynamics approach to event detection in Twitter with its application to sports and politics.
Expert Syst. Appl., 2016

Clustering-Based Spatio-Temporal Analysis of Big Atmospheric Data.
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

Deep Active Learning for Autonomous Navigation.
Proceedings of the Engineering Applications of Neural Networks, 2016

An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests.
Proceedings of the Engineering Applications of Neural Networks, 2016

2015
A Scalable Expressive Ensemble Learning Using Random Prism: A MapReduce Approach.
Trans. Large Scale Data Knowl. Centered Syst., 2015

An efficient Self-Organizing Active Contour model for image segmentation.
Neurocomputing, 2015

Adaptive mobile activity recognition system with evolving data streams.
Neurocomputing, 2015

An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests.
CoRR, 2015

On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications.
CoRR, 2015

On the Relationship between Variational Level Set-Based and SOM-Based Active Contours.
Comput. Intell. Neurosci., 2015

A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

Distributed Classification of Data Streams: An Adaptive Technique.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Spatio-temporal analysis of Greenhouse Gas data via clustering techniques.
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.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Mining Recurring Concepts in a Dynamic Feature Space.
IEEE Trans. Neural Networks Learn. Syst., 2014

Change detection in streaming data in the era of big data: models and issues.
SIGKDD Explor., 2014

A Survey of Data Mining Techniques for Social Media Analysis.
J. Data Min. Digit. Humanit., 2014

A Survey of SOM-Based Active Contour Models for Image Segmentation.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

A Concurrent SOM-Based Chan-Vese Model for Image Segmentation.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Predicting Hot-Spots in Distributed Cloud Databases Using Association Rule Mining.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Computationally Efficient Rule-Based Classification for Continuous Streaming Data.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Adaptive data stream mining for wireless sensor networks.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Diversified Random Forests Using Random Subspaces.
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
An overview of interactive visual data mining techniques for knowledge discovery.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2013

Open Mobile Miner: A Toolkit for Building Situation-Aware Data Mining Applications.
J. Organ. Comput. Electron. Commer., 2013

Interactive self-adaptive clutter-aware visualisation for mobile data mining.
J. Comput. Syst. Sci., 2013

Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection.
Int. J. Inf. Technol. Decis. Mak., 2013

An entropy-based approach to enhancing Random Forests.
Intell. Decis. Technol., 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

Rule Type Identification Using TRCM for Trend Analysis in Twitter.
Proceedings of the Research and Development in Intelligent Systems XXX, 2013

Identifying Uncertain Galaxy Morphologies Using Unsupervised Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

TRCM: A Methodology for Temporal Analysis of Evolving Concepts in Twitter.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Advances in data stream mining.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2012

Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining.
Trans. Large Scale Data Knowl. Centered Syst., 2012

Next challenges for adaptive learning systems.
SIGKDD Explor., 2012

Density-Based Projected Clustering of Data Streams.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

eRules: A Modular Adaptive Classification Rule Learning Algorithm for Data Streams.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

Mobile Data Stream Mining: From Algorithms to Applications.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

MARS: A Personalised Mobile Activity Recognition System.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Incorporating Farthest Neighbours in Instance Space Classification.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

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

Mobile Sentiment Analysis.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Data Science and Distributed Intelligence: Recent Developments and Future Insights.
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

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

Mobile Activity Recognition Using Ubiquitous Data Stream Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

CBARS: Cluster Based Classification for Activity Recognition Systems.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2012

Introduction.
Proceedings of the Journeys to Data Mining, 2012

2011
Energy-Aware Data Processing Techniques for Wireless Sensor Networks: A Review.
Trans. Large Scale Data Knowl. Centered Syst., 2011

Energy conservation in wireless sensor networks: a rule-based approach.
Knowl. Inf. Syst., 2011

Resource-aware ECG analysis on mobile devices.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

RA-SAX: Resource-Aware Symbolic Aggregate Approximation for Mobile ECG Analysis.
Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011

Distributed Classification for Pocket Data Mining.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Distributed hoeffding trees for pocket data mining.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011

Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Advances in data stream mining for mobile and ubiquitous environments.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

KB-CB-N classification: Towards unsupervised approach for supervised learning.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Enabling Scalable Semantic Reasoning for Mobile Services.
Proceedings of the Semantic Services, Interoperability and Web Applications, 2011

2010
Situation-Aware Adaptive Processing (SAAP) of Data Streams.
Proceedings of the Pervasive Computing, 2010

Data Stream Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explor., 2010

Distributed data stream classification for wireless sensor networks.
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

Adaptive Clutter-Aware Visualization for Mobile Data Stream Mining.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Clutter-Adaptive Visualization for Mobile Data Mining.
Proceedings of the ICDMW 2010, 2010

Corona: Energy-Efficient Multi-query Processing in Wireless Sensor Networks.
Proceedings of the Database Systems for Advanced Applications, 2010

Introduction.
Proceedings of the Scientific Data Mining and Knowledge Discovery, 2010

2009
Data Stream Mining Using Granularity-Based Approach.
Proceedings of the Foundations of Computational Intelligence - Volume 6: Data Mining, 2009

Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explor., 2009

An analytical study of central and in-network data processing for wireless sensor networks.
Inf. Process. Lett., 2009

Enabling Scalable Semantic Reasoning for Mobile Services.
Int. J. Semantic Web Inf. Syst., 2009

Context-aware adaptive data stream mining.
Intell. Data Anal., 2009

Knowledge discovery from data streams.
Intell. Data Anal., 2009

A Weighted Approach to Partial Matching for Mobile Reasoning.
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

Cost efficient, adaptive reasoning strategies for pervasive service discovery.
Proceedings of the 2009 international conference on Pervasive services, 2009

Mobile Data Mining for Intelligent Healthcare Support.
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

2008
Using association rules for energy conservation in wireless sensor networks.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Situation-Aware Adaptive Visualization for Sensory Data Stream Mining.
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

Clustering Distributed Time Series in Sensor Networks.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Reasoning about Context in Uncertain Pervasive Computing Environments.
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
A Survey of Classification Methods in Data Streams.
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

Efficient Time Triggered Query Processing in Wireless Sensor Networks.
Proceedings of the Embedded Software and Systems, [Third] International Conference, 2007

Resource-aware Online Data Mining in Wireless Sensor Networks.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
A Holistic Approach for Resource-aware Adaptive Data Stream Mining.
New Gener. Comput., 2006

Detection and Classification of Changes in Evolving Data Streams.
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
Mining data streams: a review.
SIGMOD Rec., 2005

Resource-aware Mining of Data Streams.
J. Univers. Comput. Sci., 2005

Making Sense of Ubiquitous Data Streams - A Fuzzy Logic Approach.
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

Cost-Efficient Mining Techniques for Data Streams.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004


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