Mohamed Medhat Gaber

207 papers A* 1A 1B 22C 13Misc 8Journal 108Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ABCO: Adaptive Bacterial Colony Optimisation. CoRR Barisi Kogam, Yevgeniya Kovalchuk, Mohamed Medhat Gaber
2025	J	`jnl`	CLOG-CD: Curriculum Learning Based on Oscillating Granularity of Class Decomposed Medical Image Classification. IEEE Trans. Emerg. Top. Comput. Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2025	J	`jnl`	CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification. CoRR Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2025	—	`conf`	CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification. ICONIP (3) Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2025	J	`jnl`	CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification. CoRR Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2025	—	`conf`	Data and Knowledge-Driven Approach for Energy Profiling in Smart Context-Aware Buildings. AI (1) Mona Farrag, Gerald Feldman, Haitham Mahmoud, Nouh Elmitwally, Mohamed Medhat Gaber
2025	J	`jnl`	Deepstreamensemble: streaming adaptation to concept drift in deep neural networks. Int. J. Mach. Learn. Cybern. Lorraine Chambers, Mohamed Medhat Gaber, Hossein Ghomeshi
2025	B	`conf`	HITSQL: Human-In-The-Loop Techniques for Enhancing Text-to-SQL Query Generation with Large Language Models. IJCNN Dhoyazan Al-Turki, Shadi Basurra, Mohamed Medhat Gaber, Bushra Attasi, Mohammed M. Abdelsamea
2025	J	`jnl`	Myoelectric Prosthetic Hands: A Review of Muscle Synergy, Machine Learning and Edge Computing. ACM Comput. Surv. Hamdy O. Farag, Mohamed Medhat Gaber, Mohammed Ibrahim Awad, Nancy E. ElHady
2025	—	`conf`	Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025). COLING Workshops Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson, Ruslan Mitkov, Mohamed Medhat Gaber, Damith Premasiri, Fiona Anting Tan, Lasitha Randunu Chandrakantha Uyangodage
2025	J	`jnl`	PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms. CoRR Shady Ali, Mahmoud Ashraf, Seif Hegazy, Fatty Salem, Hoda Mokhtar, Mohamed Medhat Gaber, Mohamed Taher Alrefaie
2025	—	`conf`	Proceedings of the First Workshop on Language Models for Low-Resource Languages. COLING Workshops Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson, Ruslan Mitkov, Mohamed Medhat Gaber, Damith Premasiri, Fiona Anting Tan, Lasitha Uyangodage
2025	J	`jnl`	The dynamics of meaning through time: Assessment of Large Language Models. CoRR Mohamed Taher Alrefaie, Fatty Salem, Nour Eldin Morsy, Nada Samir, Mohamed Medhat Gaber
2025	J	`jnl`	iPac: Incorporating Intra-image Patch Context into Graph Neural Networks for Medical Image Classification. CoRR Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2024	J	`jnl`	CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking. CoRR 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
2024	J	`jnl`	DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification. IEEE Open J. Comput. Soc. Suhaib Chughtai, Zakaria Senousy, Ahmed Mahany, Nouh Sabri Elmitwally, Khalid N. Ismail, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2024	J	`jnl`	Enhancing Resilience in IoT Water Systems Using Data-Intelligence and Decentralization. IEEE Internet Things Mag. Haitham H. Mahmoud, Wenyan Wu, Mohamed Medhat Gaber, Yonghao Wang
2024	J	`jnl`	Human-in-the-Loop Learning With LLMs for Efficient RASE Tagging in Building Compliance Regulations. IEEE Access Dhoyazan Al-Turki, Hansi Hettiarachchi, Mohamed Medhat Gaber, Mohammed M. Abdelsamea, Shadi Basurra, Sima Iranmanesh, Hadeel Saadany, Edlira Vakaj
2024	J	`jnl`	Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025). CoRR Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson, Ruslan Mitkov, Mohamed Medhat Gaber, Damith Premasiri, Fiona Anting Tan, Lasitha Uyangodage
2023	J	`jnl`	AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification. Appl. Soft Comput. Zakaria Senousy, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2023	J	`jnl`	AdaDeepStream: streaming adaptation to concept evolution in deep neural networks. Appl. Intell. Lorraine Chambers, Mohamed Medhat Gaber, Hossein Ghomeshi
2023	J	`jnl`	D2TS: a dual diversity tree selection approach to pruning of random forests. Int. J. Mach. Learn. Cybern. Hani Ragab Hassen, Yassin Zain Alabdeen, Mohamed Medhat Gaber, Megha Sharma
2023	—	`conf`	FBA-SDN: A Federated Byzantine Approach for Blockchain-Based Collaborative Intrusion Detection in Edge SDN. ICC Workshops John Hayes, Adel Aneiba, Mohamed Medhat Gaber, Md Shantanu Islam, Raouf Abozariba
2023	J	`jnl`	FedNets: Federated Learning on Edge Devices Using Ensembles of Pruned Deep Neural Networks. IEEE Access Besher Alhalabi, Shadi Basurra, Mohamed Medhat Gaber
2023	J	`jnl`	From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Usama Zidan, Hamdy A. El Desouky, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2023	J	`jnl`	Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs. Discov. Artif. Intell. Patryk Buczek, Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2023	—	`conf`	Semantisation of rules for automated compliance checking. LDAC Edlira Vakaj, Maxime Lefrançois, Amna Dridi, Thomas Beach, Mohamed Medhat Gaber, Gonçal Costa Jutglar, He Tan
2023	J	`jnl`	SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer. Expert Syst. Appl. Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2023	—	`conf`	SymbIoT: Towards An Extensible Blockchain Integration Testbed for IIoT. IIoT-NETs@SIGCOMM John Hayes, Adel Aneiba, Mohamed Medhat Gaber
2023	J	`jnl`	TTL: transformer-based two-phase transfer learning for cross-lingual news event detection. Int. J. Mach. Learn. Cybern. Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
2023	J	`jnl`	WhatsUp: An event resolution approach for co-occurring events in social media. Inf. Sci. Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
2022	J	`jnl`	A survey on artificial intelligence in histopathology image analysis. WIREs Data Mining Knowl. Discov. Mohammed M. Abdelsamea, Usama Zidan, Zakaria Senousy, Mohamed Medhat Gaber, Emad Rakha, Mohammad Ilyas
2022	J	`jnl`	Agent-Based Simulations Using Genetic Algorithm Calibration: A Children's Services Application. IEEE Access Luke White, Shadi Basurra, Mohamed Medhat Gaber, AbdulRahman A. Al-Sewari, Faisal Saeed, Sudhamshu Mohan Addanki
2022	J	`jnl`	DeepStreamOS: Fast open-Set classification for convolutional neural networks. Pattern Recognit. Lett. Lorraine Chambers, Mohamed Medhat Gaber
2022	J	`jnl`	Embed2Detect: temporally clustered embedded words for event detection in social media. Mach. Learn. Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
2022	J	`jnl`	MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
2022	J	`jnl`	PGraphD*: Methods for Drift Detection and Localisation Using Deep Learning Modelling of Business Processes. Entropy Khadijah Muzzammil Hanga, Yevgeniya Kovalchuk, Mohamed Medhat Gaber
2022	J	`jnl`	TED-S: Twitter Event Data in Sports and Politics with Aggregated Sentiments. Data Hansi Hettiarachchi, Doaa Al-Turkey, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
2022	J	`jnl`	Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords - Machine Learning as a Case Study. Big Data Cogn. Comput. Amna Dridi, Mohamed Medhat Gaber, Raja Muhammad Atif Azad, Jagdev Bhogal
2022	J	`jnl`	XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification. Sensors Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2021	J	`jnl`	3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images. Entropy Zakaria Senousy, Mohammed M. Abdelsamea, Mona Mostafa Mohamed, Mohamed Medhat Gaber
2021	J	`jnl`	4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection. IEEE Trans. Neural Networks Learn. Syst. Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2021	J	`jnl`	A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams. Inf. Frederic T. Stahl, Thien Le, Atta Badii, Mohamed Medhat Gaber
2021	J	`jnl`	Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. Appl. Intell. Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2021	B	`conf`	Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. DSAA Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
2021	J	`jnl`	MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	MicroNets: A multi-phase pruning pipeline to deep ensemble learning in IoT devices. Comput. Electr. Eng. Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basura
2021	C	`conf`	On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images. ECMS Nicole P. Mugova, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2021	J	`jnl`	Scholarly data mining: A systematic review of its applications. WIREs Data Mining Knowl. Discov. Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
2021	C	`conf`	Towards Intrusion Detection Of Previously Unknown Network Attacks. ECMS Saif Alzubi, Frederic T. Stahl, Mohamed Medhat Gaber
2020	J	`jnl`	4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection. CoRR Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2020	J	`jnl`	A Graph-Based Approach to Interpreting Recurrent Neural Networks in Process Mining. IEEE Access Khadijah M. Hanga, Yevgeniya Kovalchuk, Mohamed Medhat Gaber
2020	J	`jnl`	A non-canonical hybrid metaheuristic approach to adaptive data stream classification. Future Gener. Comput. Syst. Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
2020	J	`jnl`	Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences. BMC Medical Informatics Decis. Mak. Julian Hatwell, Mohamed Medhat Gaber, R. Muhammad Atif Azad
2020	J	`jnl`	CHIRPS: Explaining random forest classification. Artif. Intell. Rev. Julian Hatwell, Mohamed Medhat Gaber, R. Muhammad Atif Azad
2020	J	`jnl`	Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. CoRR Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2020	J	`jnl`	Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification. CoRR Zahraa S. Abdallah, Mohamed Medhat Gaber
2020	J	`jnl`	Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series. Mach. Learn. Zahraa S. Abdallah, Mohamed Medhat Gaber
2020	J	`jnl`	DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks. IEEE Access Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2020	J	`jnl`	DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks. CoRR Lorraine Chambers, Mohamed Medhat Gaber, Zahraa S. Abdallah
2020	J	`jnl`	Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media. CoRR Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber
2020	J	`jnl`	Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT. CoRR Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra
2020	J	`jnl`	Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach. Computing Khaled Fawagreh, Mohamed Medhat Gaber
2020	J	`jnl`	eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning. Big Data Cogn. Comput. Khaled Fawagreh, Mohamed Medhat Gaber
2019	J	`jnl`	A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education. CoRR Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
2019	J	`jnl`	A Non-Intrusive Heuristic for Energy Messaging Intervention Modeled Using a Novel Agent-Based Approach. IEEE Access Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber
2019	J	`jnl`	An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis. J. Ambient Intell. Humaniz. Comput. Alfredo Cuzzocrea, Mohamed Medhat Gaber, Edoardo Fadda, Giorgio Mario Grasso
2019	B	`conf`	DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. IJCNN Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
2019	J	`jnl`	EACD: evolutionary adaptation to concept drifts in data streams. Data Min. Knowl. Discov. Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
2019	B	`conf`	EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles. SMC Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra
2019	J	`jnl`	EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles. CoRR Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra
2019	J	`jnl`	Internet of Things and data mining: From applications to techniques and systems. WIREs Data Mining Knowl. Discov. Mohamed Medhat Gaber, Adel Aneiba, Shadi Basurra, Oliver Batty, Ahmed M. Elmisery, Yevgeniya Kovalchuk, Muhammad Habib Ur Rehman
2019	J	`jnl`	Leap2Trend: A Temporal Word Embedding Approach for Instant Detection of Emerging Scientific Trends. IEEE Access Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
2019	J	`jnl`	RED-GENE: An Evolutionary Game Theoretic Approach to Adaptive Data Stream Classification. IEEE Access Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
2019	—	`conf`	TONE: A Method for Terminological Ontology Evaluation. ArabWIC Mona Nabil Demaidi, Mohamed Medhat Gaber
2018	J	`jnl`	Activity Recognition with Evolving Data Streams: A Review. ACM Comput. Surv. Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2018	B	`conf`	Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats. IJCNN Diana Haidar, Mohamed Medhat Gaber
2018	—	`conf`	An Agent-Based Collective Model to Simulate Peer Pressure Effect on Energy Consumption. ICCCI (1) Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber
2018	J	`jnl`	AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection. CoRR Diana Haidar, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
2018	—	`conf`	Cascading Probability Distributions in Agent-Based Models: An Application to Behavioural Energy Wastage. ICAISC (2) Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber
2018	J	`jnl`	Deep imitation learning for 3D navigation tasks. Neural Comput. Appl. Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne
2018	J	`jnl`	Edge Machine Learning: Enabling Smart Internet of Things Applications. Big Data Cogn. Comput. Mahmut Yazici, Shadi Basurra, Mohamed Medhat Gaber
2018	J	`jnl`	OntoPeFeGe: Ontology-Based Personalized Feedback Generator. IEEE Access Mona Nabil Demaidi, Mohamed Medhat Gaber, Nick Filer
2018	B	`conf`	k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. DS Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
2017	B	`conf`	A Hybrid Agent-Based and Probabilistic Model for Fine-Grained Behavioural Energy Waste Simulation. ICTAI Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber
2017	J	`jnl`	A SOM-based Chan-Vese model for unsupervised image segmentation. Soft Comput. Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2017	J	`jnl`	A genetic algorithm approach to optimising random forests applied to class engineered data. Inf. Sci. Eyad Elyan, Mohamed Medhat Gaber
2017	B	`conf`	Deep reward shaping from demonstrations. IJCNN Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne
2017	J	`jnl`	Evaluating the quality of the ontology-based auto-generated questions. Smart Learn. Environ. Mona Nabil Demaidi, Mohamed Medhat Gaber, Nick Filer
2017	J	`jnl`	Imitation Learning: A Survey of Learning Methods. ACM Comput. Surv. Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan, Chrisina Jayne
2017	J	`jnl`	On expressiveness and uncertainty awareness in rule-based classification for data streams. Neurocomputing Thien Le, Frederic T. Stahl, Mohamed Medhat Gaber, João Bártolo Gomes, Giuseppe Di Fatta
2017	J	`jnl`	RedEdge: A Novel Architecture for Big Data Processing in Mobile Edge Computing Environments. J. Sens. Actuator Networks Muhammad Habib Ur Rehman, Prem Prakash Jayaraman, Saif Ur Rehman Malik, Atta ur Rehman Khan, Mohamed Medhat Gaber
2016	C	`conf`	A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements. ICMLA Thien Le, Frederic T. Stahl, Chris Wrench, Mohamed Medhat Gaber
2016	J	`jnl`	A fine-grained Random Forests using class decomposition: an application to medical diagnosis. Neural Comput. Appl. Eyad Elyan, Mohamed Medhat Gaber
2016	J	`jnl`	A rule dynamics approach to event detection in Twitter with its application to sports and politics. Expert Syst. Appl. Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martín-Dancausa, Frederic T. Stahl, João Bártolo Gomes
2016	C	`conf`	An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests. EANN Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
2016	J	`jnl`	AnyNovel: detection of novel concepts in evolving data streams. Evol. Syst. Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2016	—	`conf`	Clustering-Based Spatio-Temporal Analysis of Big Atmospheric Data. ICC 2016 Alfredo Cuzzocrea, Mohamed Medhat Gaber, Staci Lattimer, Giorgio Mario Grasso
2016	C	`conf`	Deep Active Learning for Autonomous Navigation. EANN Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan
2015	—	`conf`	A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests. SGAI Conf. Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
2015	J	`jnl`	A Scalable Expressive Ensemble Learning Using Random Prism: A MapReduce Approach. Trans. Large Scale Data Knowl. Centered Syst. Frederic T. Stahl, David May, Hugo Mills, Max Bramer, Mohamed Medhat Gaber
2015	J	`jnl`	Adaptive mobile activity recognition system with evolving data streams. Neurocomputing Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2015	—	`book`	Advances in Social Media Analysis Advances in Social Media Analysis Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Göker
2015	J	`jnl`	An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests. CoRR Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
2015	J	`jnl`	An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2015	—	`conf`	CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests. SGAI Conf. Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
2015	B	`conf`	Distributed Classification of Data Streams: An Adaptive Technique. DaWaK Alfredo Cuzzocrea, Mohamed Medhat Gaber, Ary Mazharuddin Shiddiqi
2015	J	`jnl`	On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications. CoRR Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
2015	J	`jnl`	On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Comput. Intell. Neurosci. Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber, Eyad Elyan
2015	C	`conf`	Spatio-temporal analysis of Greenhouse Gas data via clustering techniques. CSCWD Alfredo Cuzzocrea, Mohamed Medhat Gaber, Staci Lattimer
2014	—	`conf`	A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. WSOM Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2014	J	`jnl`	A Survey of Data Mining Techniques for Social Media Analysis. J. Data Min. Digit. Humanit. Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
2014	—	`conf`	A Survey of SOM-Based Active Contour Models for Image Segmentation. WSOM Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2014	C	`conf`	Adaptive data stream mining for wireless sensor networks. IDEAS Alfredo Cuzzocrea, Mohamed Medhat Gaber, Ary Mazharuddin Shiddiqi
2014	C	`conf`	Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology. IDEAL Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
2014	J	`jnl`	Change detection in streaming data in the era of big data: models and issues. SIGKDD Explor. Dang-Hoan Tran, Mohamed Medhat Gaber, Kai-Uwe Sattler
2014	—	`conf`	Computationally Efficient Rule-Based Classification for Continuous Streaming Data. SGAI Conf. Thien Le, Frederic T. Stahl, João Bártolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta
2014	J	`jnl`	Data stream mining in ubiquitous environments: state-of-the-art and current directions. WIREs Data Mining Knowl. Discov. Mohamed Medhat Gaber, João Gama, Shonali Krishnaswamy, João Bártolo Gomes, Frederic T. Stahl
2014	C	`conf`	Diversified Random Forests Using Random Subspaces. IDEAL Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
2014	C	`conf`	Extraction of Unexpected Rules from Twitter Hashtags and its Application to Sport Events. ICMLA Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martín-Dancausa, Frederic T. Stahl
2014	—	`book`	Large Scale and Big Data - Processing and Management. Sherif Sakr, Mohamed Medhat Gaber
2014	J	`jnl`	Mining Recurring Concepts in a Dynamic Feature Space. IEEE Trans. Neural Networks Learn. Syst. João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
2014	Misc	`conf`	Predicting Hot-Spots in Distributed Cloud Databases Using Association Rule Mining. UCC Joarder Mohammad Mustafa Kamal, M. Manzur Murshed, Mohamed Medhat Gaber
2014	—	`conf`	Progressive Data Stream Mining and Transaction Classification for Workload-Aware Incremental Database Repartitioning. BDC Joarder Mohammad Mustafa Kamal, M. Manzur Murshed, Mohamed Medhat Gaber
2013	J	`jnl`	A Survey of Data Mining Techniques for Social Media Analysis. CoRR Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
2013	B	`conf`	An Information-Theoretic Approach for Setting the Optimal Number of Decision Trees in Random Forests. SMC Alfredo Cuzzocrea, Shane Leo Francis, Mohamed Medhat Gaber
2013	J	`jnl`	An entropy-based approach to enhancing Random Forests. Intell. Decis. Technol. Mohamed Medhat Gaber, Harinder Singh Atwal
2013	J	`jnl`	An overview of interactive visual data mining techniques for knowledge discovery. WIREs Data Mining Knowl. Discov. Frederic T. Stahl, Bogdan Gabrys, Mohamed Medhat Gaber, Monika Berendsen
2013	J	`jnl`	Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection. Int. J. Inf. Technol. Decis. Mak. João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
2013	—	`conf`	Identifying Uncertain Galaxy Morphologies Using Unsupervised Learning. ICAISC (2) Kieran Jay Edwards, Mohamed Medhat Gaber
2013	J	`jnl`	Interactive self-adaptive clutter-aware visualisation for mobile data mining. J. Comput. Syst. Sci. Mohamed Medhat Gaber, Shonali Krishnaswamy, Brett Gillick, Hasnain AlTaiar, Nicholas Nicoloudis, Jonathan Liono, Arkady B. Zaslavsky
2013	J	`jnl`	Open Mobile Miner: A Toolkit for Building Situation-Aware Data Mining Applications. J. Organ. Comput. Electron. Commer. Pari Delir Haghighi, Shonali Krishnaswamy, Arkady B. Zaslavsky, Mohamed Medhat Gaber, Abhijat Sinha, Brett Gillick
2013	—	`ed.`	Proceedings of the BCS SGAI Workshop on Social Media Analysis 2013 co-located with 33rd Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (BCS SGAI 2013), Cambridge, UK, December 10, 2013. SMA@BCS-SGAI Mohamed Medhat Gaber, Nirmalie Wiratunga, Ayse Göker, Mihaela Cocea
2013	—	`conf`	Rule Type Identification Using TRCM for Trend Analysis in Twitter. SGAI Conf. João Bártolo Gomes, Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
2013	—	`conf`	TRCM: A Methodology for Temporal Analysis of Evolving Concepts in Twitter. ICAISC (2) Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
2012	J	`jnl`	Advances in data stream mining. WIREs Data Mining Knowl. Discov. Mohamed Medhat Gaber
2012	—	`conf`	CBARS: Cluster Based Classification for Activity Recognition Systems. AMLTA Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2012	Misc	`conf`	Data Science and Distributed Intelligence: Recent Developments and Future Insights. IDC Alfredo Cuzzocrea, Mohamed Medhat Gaber
2012	—	`conf`	Density-Based Projected Clustering of Data Streams. SUM Marwan Hassani, Pascal Spaus, Mohamed Medhat Gaber, Thomas Seidl
2012	B	`conf`	Deploying Mobile Software Agents for Distributed Data Mining on Wireless Sensor Networks: A Comparative Analysis. ICTAI Ranjani Nagarajan, Alfredo Cuzzocrea, Mohamed Medhat Gaber
2012	—	`conf`	GARF: Towards Self-optimised Random Forests. ICONIP (2) Mohamed Bahy Bader-El-Den, Mohamed Medhat Gaber
2012	J	`jnl`	Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining. Trans. Large Scale Data Knowl. Centered Syst. Frederic T. Stahl, Mohamed Medhat Gaber, Paul Aldridge, David May, Han Liu, Max Bramer, Philip S. Yu
2012	B	`conf`	Incorporating Farthest Neighbours in Instance Space Classification. KES Daniel Vaccaro-Senna, Mohamed Medhat Gaber
2012	—	`ch.`	Introduction. Journeys to Data Mining Mohamed Medhat Gaber
2012	—	`book`	Journeys to Data Mining Journeys to Data Mining Mohamed Medhat Gaber
2012	B	`conf`	MARS: A Personalised Mobile Activity Recognition System. MDM João Bártolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
2012	B	`conf`	Mobile Activity Recognition Using Ubiquitous Data Stream Mining. DaWaK João Bártolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
2012	B	`conf`	Mobile Data Stream Mining: From Algorithms to Applications. MDM Shonali Krishnaswamy, João Gama, Mohamed Medhat Gaber
2012	B	`conf`	Mobile Sentiment Analysis. KES Lorraine Chambers, Erik Tromp, Mykola Pechenizkiy, Mohamed Medhat Gaber
2012	J	`jnl`	Next challenges for adaptive learning systems. SIGKDD Explor. Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial
2012	B	`conf`	Optimisation of Ensemble Classifiers using Genetic Algorithm. KES Mohamed Medhat Gaber, Mohamed Bahy Bader-El-Den
2012	—	`ed.`	Proceedings of the 1st International Workshop on Sentiment Discovery from Affective Data, SDAD@ECML/PKDD 2012, Bristol, UK, September 28, 2012 SDAD@ECML/PKDD Mohamed Medhat Gaber, Mihaela Cocea, Stephan Weibelzahl, Ernestina Menasalvas, Cyril Labbé
2012	B	`conf`	StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition. ICTAI Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2012	—	`conf`	eRules: A Modular Adaptive Classification Rule Learning Algorithm for Data Streams. SGAI Conf. Frederic T. Stahl, Mohamed Medhat Gaber, Manuel Martin Salvador
2011	A	`conf`	Advances in data stream mining for mobile and ubiquitous environments. CIKM Shonali Krishnaswamy, João Gama, Mohamed Medhat Gaber
2011	B	`conf`	Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices. IDA João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
2011	C	`conf`	Distributed Classification for Pocket Data Mining. ISMIS Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu
2011	—	`conf`	Distributed hoeffding trees for pocket data mining. HPCS Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu
2011	—	`ch.`	Enabling Scalable Semantic Reasoning for Mobile Services. Semantic Services, Interoperability and Web Applications Luke Albert Steller, Shonali Krishnaswamy, Mohamed Medhat Gaber
2011	J	`jnl`	Energy conservation in wireless sensor networks: a rule-based approach. Knowl. Inf. Syst. Suan Khai Chong, Mohamed Medhat Gaber, Shonali Krishnaswamy, Seng Wai Loke
2011	J	`jnl`	Energy-Aware Data Processing Techniques for Wireless Sensor Networks: A Review. Trans. Large Scale Data Knowl. Centered Syst. Suan Khai Chong, Mohamed Medhat Gaber, Shonali Krishnaswamy, Seng Wai Loke
2011	C	`conf`	KB-CB-N classification: Towards unsupervised approach for supervised learning. CIDM Zahraa Said Abdallah, Mohamed Medhat Gaber
2011	B	`conf`	RA-SAX: Resource-Aware Symbolic Aggregate Approximation for Mobile ECG Analysis. Mobile Data Management (1) Hossein Tayebi, Shonali Krishnaswamy, Agustinus Borgy Waluyo, Abhijat Sinha, Mohamed Medhat Gaber
2011	Misc	`conf`	Resource-aware ECG analysis on mobile devices. SAC Abhijat Sinha, Hossein Tayebi, Shonali Krishnaswamy, Agustinus Borgy Waluyo, Mohamed Medhat Gaber
2010	—	`conf`	Adaptive Clutter-Aware Visualization for Mobile Data Stream Mining. ICTAI (2) Mohamed Medhat Gaber, Shonali Krishnaswamy, Brett Gillick, Nicholas Nicoloudis, Jonathan Liono, Hasnain AlTaiar, Arkady B. Zaslavsky
2010	—	`conf`	Clutter-Adaptive Visualization for Mobile Data Mining. ICDM Workshops Brett Gillick, Hasnain AlTaiar, Shonali Krishnaswamy, Jonathan Liono, Nicholas Nicoloudis, Abhijat Sinha, Arkady B. Zaslavsky, Mohamed Medhat Gaber
2010	—	`conf`	Corona: Energy-Efficient Multi-query Processing in Wireless Sensor Networks. DASFAA (2) Raymes Khoury, Tim Dawborn, Bulat Gafurov, Glen Pink, Edmund Tse, Quincy Tse, Khaled Almiani, Mohamed Medhat Gaber, Uwe Röhm, Bernhard Scholz
2010	—	`ch.`	Data Stream Mining. Data Mining and Knowledge Discovery Handbook Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali Krishnaswamy
2010	Misc	`conf`	Distributed data stream classification for wireless sensor networks. SAC Mohamed Medhat Gaber, Ary Mazharuddin Shiddiqi
2010	—	`ch.`	Introduction. Scientific Data Mining and Knowledge Discovery Mohamed Medhat Gaber
2010	—	`ed.`	Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers KDD Workshop on Knowledge Discovery from Sensor Data Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly
2010	J	`jnl`	Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga Raju Vatsavai, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
2010	—	`conf`	Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments. ICTAI (2) Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu
2010	—	`book`	Scientific Data Mining and Knowledge Discovery - Principles and Foundations Mohamed Medhat Gaber
2010	—	`ch.`	Situation-Aware Adaptive Processing (SAAP) of Data Streams. Pervasive Computing, Innovations in Intelligent Multimedia and Applications Pari Delir Haghighi, Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady B. Zaslavsky
2009	Misc	`conf`	A Weighted Approach to Partial Matching for Mobile Reasoning. ISWC Luke Albert Steller, Shonali Krishnaswamy, Mohamed Medhat Gaber
2009	J	`jnl`	An analytical study of central and in-network data processing for wireless sensor networks. Inf. Process. Lett. Mohamed Medhat Gaber, Uwe Röhm, Karel Herink
2009	J	`jnl`	Context-aware adaptive data stream mining. Intell. Data Anal. Pari Delir Haghighi, Arkady B. Zaslavsky, Shonali Krishnaswamy, Mohamed Medhat Gaber, Seng Wai Loke
2009	—	`conf`	Cost efficient, adaptive reasoning strategies for pervasive service discovery. ICPS Luke Albert Steller, Shonali Krishnaswamy, Mohamed Medhat Gaber
2009	—	`ch.`	Data Stream Mining Using Granularity-Based Approach. Foundations of Computational Intelligence (6) Mohamed Medhat Gaber
2009	J	`jnl`	Enabling Scalable Semantic Reasoning for Mobile Services. Int. J. Semantic Web Inf. Syst. Luke Steller, Shonali Krishnaswamy, Mohamed Medhat Gaber
2009	J	`jnl`	Knowledge discovery from data streams. Intell. Data Anal. João Gama, Auroop R. Ganguly, Olufemi A. Omitaomu, Ranga Raju Vatsavai, Mohamed Medhat Gaber
2009	J	`jnl`	Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber
2009	—	`conf`	Mobile Data Mining for Intelligent Healthcare Support. HICSS Pari Delir Haghighi, Arkady B. Zaslavsky, Shonali Krishnaswamy, Mohamed Medhat Gaber
2009	—	`ed.`	Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009 KDD Workshop on Knowledge Discovery from Sensor Data Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber
2008	—	`conf`	ARTS: Adaptive Rule Triggers on Sensors for Energy Conservation in Applications using Coarse-Granularity Data. ICESS Suan Khai Chong, Mohamed Medhat Gaber, Seng Wai Loke, Shonali Krishnaswamy
2008	A*	`conf`	Clustering Distributed Time Series in Sensor Networks. ICDM Jie Yin, Mohamed Medhat Gaber
2008	Misc	`conf`	Enabling Resource-Awareness for In-Network Data Processing in Wireless Sensor Networks. ADC Uwe Röhm, Mohamed Medhat Gaber, Quincy Tse
2008	J	`jnl`	Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly
2008	—	`conf`	Reasoning about Context in Uncertain Pervasive Computing Environments. EuroSSC Pari Delir Haghighi, Shonali Krishnaswamy, Arkady B. Zaslavsky, Mohamed Medhat Gaber
2008	—	`conf`	Situation-Aware Adaptive Visualization for Sensory Data Stream Mining. KDD Workshop on Knowledge Discovery from Sensor Data Pari Delir Haghighi, Brett Gillick, Shonali Krishnaswamy, Mohamed Medhat Gaber, Arkady B. Zaslavsky
2008	Misc	`conf`	Using association rules for energy conservation in wireless sensor networks. SAC Suan Khai Chong, Shonali Krishnaswamy, Seng Wai Loke, Mohamed Medhat Gaber
2007	—	`ch.`	A Survey of Classification Methods in Data Streams. Data Streams - Models and Algorithms Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali Krishnaswamy
2007	J	`jnl`	A fuzzy approach for interpretation of ubiquitous data stream clustering and its application in road safety. Intell. Data Anal. Osnat Horovitz, Shonali Krishnaswamy, Mohamed Medhat Gaber
2007	—	`conf`	Efficient Time Triggered Query Processing in Wireless Sensor Networks. ICESS Bernhard Scholz, Mohamed Medhat Gaber, Tim Dawborn, Raymes Khoury, Edmund Tse
2007	B	`conf`	On the Integration of Data Stream Clustering into a Query Processor for Wireless Sensor Networks. MDM Uwe Röhm, Bernhard Scholz, Mohamed Medhat Gaber
2007	C	`conf`	Resource-aware Online Data Mining in Wireless Sensor Networks. CIDM Nhan Duc Phung, Mohamed Medhat Gaber, Uwe Röhm
2006	J	`jnl`	A Holistic Approach for Resource-aware Adaptive Data Stream Mining. New Gener. Comput. Mohamed Medhat Gaber, Philip S. Yu
2006	Misc	`conf`	A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering. SAC Mohamed Medhat Gaber, Philip S. Yu
2006	J	`jnl`	Detection and Classification of Changes in Evolving Data Streams. Int. J. Inf. Technol. Decis. Mak. Mohamed Medhat Gaber, Philip S. Yu
2006	—	`conf`	Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining. IWUC Brett Gillick, Shonali Krishnaswamy, Mohamed Medhat Gaber, Arkady B. Zaslavsky
2005	—	`conf`	Making Sense of Ubiquitous Data Streams - A Fuzzy Logic Approach. KES (2) Osnat Horovitz, Mohamed Medhat Gaber, Shonali Krishnaswamy
2005	J	`jnl`	Mining data streams: a review. SIGMOD Rec. Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali Krishnaswamy
2005	J	`jnl`	Resource-aware Mining of Data Streams. J. Univers. Comput. Sci. Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady B. Zaslavsky
2004	—	`conf`	A Wireless Data Stream Mining Model. Wireless Information Systems Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady B. Zaslavsky
2004	—	`conf`	Cost-Efficient Mining Techniques for Data Streams. ACSW Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady B. Zaslavsky
2004	B	`conf`	Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments. DaWaK Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali Krishnaswamy