| 2025 | COLING | Proceedings of the First Workshop on Language Models for Low-Resource Languages. | Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson, Ruslan Mitkov, Mohamed Medhat Gaber, Damith Premasiri, Fiona Anting Tan, Lasitha Uyangodage |
| 2025 | COLING | Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025). | Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson, Ruslan Mitkov, Mohamed Medhat Gaber, Damith Premasiri, Fiona Anting Tan, Lasitha Randunu Chandrakantha Uyangodage |
| 2025 | ICONIP | CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification. | Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea |
| 2025 | IJCNN | HITSQL: Human-In-The-Loop Techniques for Enhancing Text-to-SQL Query Generation with Large Language Models. | Dhoyazan Al-Turki, Shadi Basurra, Mohamed Medhat Gaber, Bushra Attasi, Mohammed M. Abdelsamea |
| 2025 | SGAI | Data and Knowledge-Driven Approach for Energy Profiling in Smart Context-Aware Buildings. | Mona Farrag, Gerald Feldman, Haitham Mahmoud, Nouh Sabri Elmitwally, Mohamed Medhat Gaber |
| 2021 | DSAA | Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. | Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber |
| 2021 | ECMS | Towards Intrusion Detection Of Previously Unknown Network Attacks. | Saif Alzubi, Frederic T. Stahl, Mohamed Medhat Gaber |
| 2021 | ECMS | On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images. | Nicole P. Mugova, Mohammed M. Abdelsamea, Mohamed Medhat Gaber |
| 2019 | IJCNN | DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. | Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal |
| 2019 | SMC | EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles. | Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra |
| 2018 | DIS | k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. | Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal |
| 2018 | ICAISC | Cascading Probability Distributions in Agent-Based Models: An Application to Behavioural Energy Wastage. | Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber |
| 2018 | ICCCI | An Agent-Based Collective Model to Simulate Peer Pressure Effect on Energy Consumption. | Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber |
| 2018 | IJCNN | Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats. | Diana Haidar, Mohamed Medhat Gaber |
| 2017 | IJCNN | Deep reward shaping from demonstrations. | Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne |
| 2017 | ICTAI | A Hybrid Agent-Based and Probabilistic Model for Fine-Grained Behavioural Energy Waste Simulation. | Fatima Abdallah, Shadi Basurra, Mohamed Medhat Gaber |
| 2016 | EANN | An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests. | Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan |
| 2016 | EANN | Deep Active Learning for Autonomous Navigation. | Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan |
| 2016 | ICMLA | A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements. | Thien Le, Frederic T. Stahl, Chris Wrench, Mohamed Medhat Gaber |
| 2015 | CSCWD | Spatio-temporal analysis of Greenhouse Gas data via clustering techniques. | Alfredo Cuzzocrea, Mohamed Medhat Gaber, Staci Lattimer |
| 2015 | DaWaK | Distributed Classification of Data Streams: An Adaptive Technique. | Alfredo Cuzzocrea, Mohamed Medhat Gaber, Ary Mazharuddin Shiddiqi |
| 2015 | SGAI | CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests. | Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan |
| 2015 | SGAI | A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests. | Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan |
| 2014 | ICMLA | Extraction of Unexpected Rules from Twitter Hashtags and its Application to Sport Events. | Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martn-Dancausa, Frederic T. Stahl |
| 2014 | IDEAL | Diversified Random Forests Using Random Subspaces. | Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan |
| 2014 | IDEAL | Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology. | Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea |
| 2014 | IDEAS | Adaptive data stream mining for wireless sensor networks. | Alfredo Cuzzocrea, Mohamed Medhat Gaber, Ary Mazharuddin Shiddiqi |
| 2014 | SGAI | Computationally Efficient Rule-Based Classification for Continuous Streaming Data. | Thien Le, Frederic T. Stahl, Joo Brtolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta |
| 2014 | UCC | Predicting Hot-Spots in Distributed Cloud Databases Using Association Rule Mining. | Joarder Mohammad Mustafa Kamal, M. Manzur Murshed, Mohamed Medhat Gaber |
| 2013 | ICAISC | TRCM: A Methodology for Temporal Analysis of Evolving Concepts in Twitter. | Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl |
| 2013 | ICAISC | Identifying Uncertain Galaxy Morphologies Using Unsupervised Learning. | Kieran Jay Edwards, Mohamed Medhat Gaber |
| 2013 | SMC | An Information-Theoretic Approach for Setting the Optimal Number of Decision Trees in Random Forests. | Alfredo Cuzzocrea, Shane Leo Francis, Mohamed Medhat Gaber |
| 2013 | SGAI | Rule Type Identification Using TRCM for Trend Analysis in Twitter. | Joo Brtolo Gomes, Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl |
| 2012 | DaWaK | Mobile Activity Recognition Using Ubiquitous Data Stream Mining. | Joo Brtolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz |
| 2012 | ICONIP | GARF: Towards Self-optimised Random Forests. | Mohamed Bahy Bader-El-Den, Mohamed Medhat Gaber |
| 2012 | ICTAI | StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition. | Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy |
| 2012 | ICTAI | Deploying Mobile Software Agents for Distributed Data Mining on Wireless Sensor Networks: A Comparative Analysis. | Ranjani Nagarajan, Alfredo Cuzzocrea, Mohamed Medhat Gaber |
| 2012 | IDC | Data Science and Distributed Intelligence: Recent Developments and Future Insights. | Alfredo Cuzzocrea, Mohamed Medhat Gaber |
| 2012 | KES | Mobile Sentiment Analysis. | Lorraine Chambers, Erik Tromp, Mykola Pechenizkiy, Mohamed Medhat Gaber |
| 2012 | KES | Optimisation of Ensemble Classifiers using Genetic Algorithm. | Mohamed Medhat Gaber, Mohamed Bahy Bader-El-Den |
| 2012 | KES | Incorporating Farthest Neighbours in Instance Space Classification. | Daniel Vaccaro-Senna, Mohamed Medhat Gaber |
| 2012 | MDM | MARS: A Personalised Mobile Activity Recognition System. | Joo Brtolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz |
| 2012 | MDM | Mobile Data Stream Mining: From Algorithms to Applications. | Shonali Krishnaswamy, Joo Gama, Mohamed Medhat Gaber |
| 2012 | SGAI | eRules: A Modular Adaptive Classification Rule Learning Algorithm for Data Streams. | Frederic T. Stahl, Mohamed Medhat Gaber, Manuel Martin Salvador |
| 2011 | CIDM | KB-CB-N classification: Towards unsupervised approach for supervised learning. | Zahraa Said Abdallah, Mohamed Medhat Gaber |
| 2011 | CIKM | Advances in data stream mining for mobile and ubiquitous environments. | Shonali Krishnaswamy, Joo Gama, Mohamed Medhat Gaber |
| 2011 | IDA | Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices. | Joo Brtolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz |
| 2011 | ISMIS | Distributed Classification for Pocket Data Mining. | Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu |
| 2011 | MDM | RA-SAX: Resource-Aware Symbolic Aggregate Approximation for Mobile ECG Analysis. | Hossein Tayebi, Shonali Krishnaswamy, Agustinus Borgy Waluyo, Abhijat Sinha, Mohamed Medhat Gaber |
| 2011 | SAC | Resource-aware ECG analysis on mobile devices. | Abhijat Sinha, Hossein Tayebi, Shonali Krishnaswamy, Agustinus Borgy Waluyo, Mohamed Medhat Gaber |
| 2010 | DASFAA | Corona: Energy-Efficient Multi-query Processing in Wireless Sensor Networks. | Raymes Khoury, Tim Dawborn, Bulat Gafurov, Glen Pink, Edmund Tse, Quincy Tse, Khaled Almiani, Mohamed Medhat Gaber, Uwe Rhm, Bernhard Scholz |
| 2010 | ICDM | Clutter-Adaptive Visualization for Mobile Data Mining. | Brett Gillick, Hasnain AlTaiar, Shonali Krishnaswamy, Jonathan Liono, Nicholas Nicoloudis, Abhijat Sinha, Arkady B. Zaslavsky, Mohamed Medhat Gaber |
| 2010 | ICTAI | Adaptive Clutter-Aware Visualization for Mobile Data Stream Mining. | Mohamed Medhat Gaber, Shonali Krishnaswamy, Brett Gillick, Nicholas Nicoloudis, Jonathan Liono, Hasnain AlTaiar, Arkady B. Zaslavsky |
| 2010 | ICTAI | Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments. | Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu |
| 2010 | SAC | Distributed data stream classification for wireless sensor networks. | Mohamed Medhat Gaber, Ary Mazharuddin Shiddiqi |
| 2008 | ADC | Enabling Resource-Awareness for In-Network Data Processing in Wireless Sensor Networks. | Uwe Rhm, Mohamed Medhat Gaber, Quincy Tse |
| 2008 | ICDM | Clustering Distributed Time Series in Sensor Networks. | Jie Yin, Mohamed Medhat Gaber |
| 2008 | KDD | Situation-Aware Adaptive Visualization for Sensory Data Stream Mining. | Pari Delir Haghighi, Brett Gillick, Shonali Krishnaswamy, Mohamed Medhat Gaber, Arkady B. Zaslavsky |
| 2008 | SAC | Using association rules for energy conservation in wireless sensor networks. | Suan Khai Chong, Shonali Krishnaswamy, Seng Wai Loke, Mohamed Medhat Gaber |
| 2007 | CIDM | Resource-aware Online Data Mining in Wireless Sensor Networks. | Nhan Duc Phung, Mohamed Medhat Gaber, Uwe Rhm |
| 2007 | MDM | On the Integration of Data Stream Clustering into a Query Processor for Wireless Sensor Networks. | Uwe Rhm, Bernhard Scholz, Mohamed Medhat Gaber |
| 2006 | SAC | A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering. | Mohamed Medhat Gaber, Philip S. Yu |
| 2005 | KES | Making Sense of Ubiquitous Data Streams - A Fuzzy Logic Approach. | Osnat Horovitz, Mohamed Medhat Gaber, Shonali Krishnaswamy |
| 2004 | DaWaK | Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments. | Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali Krishnaswamy |