Mohamed Abdelaal

According to our database, Mohamed Abdelaal authored at least 31 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks.

Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao

CoRR, 2024

Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction.

Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja

CoRR, 2024

XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection.

Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal, Hung Cao

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

SAGED: Few-Shot Meta Learning for Tabular Data Error Detection.

Mohamed Abdelaal, Tim Ktitarev, Daniel Städtler, Harald Schöning

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process.

Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal, Michael Amberg

Mach. Learn. Knowl. Extr., March, 2023

RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs.

Daniel Del Gaudio, Tim Schubert, Mohamed Abdelaal

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Enhancing Knowledge Base Construction from Pre-trained Language Models using Prompt Ensembles.

Fabian Biester, Daniel Del Gaudio, Mohamed Abdelaal

Proceedings of the Joint proceedings of the 1st workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM) and the 2nd challenge on Language Models for Knowledge Base Construction (LM-KBC) co-located with the 22nd International Semantic Web Conference (ISWC 2023), 2023

REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines.

Mohamed Abdelaal, Christian Hammacher, Harald Schöning

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

DiffML: End-to-end Differentiable ML Pipelines.

Benjamin Hilprecht, Christian Hammacher, Eduardo Souza dos Reis, Mohamed Abdelaal, Carsten Binnig

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction.

Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

AutoCure: Automated Tabular Data Curation Technique for ML Pipelines.

Mohamed Abdelaal, Rashmi Koparde, Harald Schöning

Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2023

2020

MapSense: Grammar-supported Inference of Indoor Objects from Crowd-sourced 3D Point Clouds.

Mohamed Abdelaal, Suriya Sekar, Frank Dürr, Kurt Rothermel, Susanne Becker, Dieter Fritsch

ACM Trans. Internet Things, 2020

AutoSec: Multidimensional Timing-Based Anomaly Detection for Automotive Cybersecurity.

Milan Tepic, Mohamed Abdelaal, Marc Weber, Kurt Rothermel

Proceedings of the 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2020

liteNDN: QoS-Aware Packet Forwarding and Caching for Named Data Networks.

Mohamed Abdelaal, Mustafa Karadeniz, Frank Dürr, Kurt Rothermel

Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

2019

GaaS: Adaptive Cross-Platform Gateway for IoT Applications.

Mohamed Abdelaal, Mochamad Dandy, Frank Dürr, Kurt Rothermel, Marwan Abdelgawad

Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

2018

ComNSense: Grammar-Driven Crowd-Sourcing of Point Clouds for Automatic Indoor Mapping.

Mohamed Abdelaal, Daniel Reichelt, Frank Dürr, Kurt Rothermel, Lavinia Runceanu, Susanne Becker, Dieter Fritsch

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Quality of service control in proactive wireless sensor networks via lifetime planning.

Peilin Zhang, Mohamed Abdelaal, Oliver E. Theel

Int. J. Sens. Networks, 2018

GreenMap: Approximated Filtering Towards Energy-Aware Crowdsensing for Indoor Mapping.

Johannes Kässinger, Mohamed Abdelaal, Frank Dürr, Kurt Rothermel

Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

2017

An Improved BLE Indoor Localization with Kalman-Based Fusion: An Experimental Study.

Jenny Röbesaat, Peilin Zhang, Mohamed Abdelaal, Oliver E. Theel

Sensors, 2017

GraMap: QoS-Aware Indoor Mapping Through Crowd-Sensing Point Clouds with Grammar Support.

Mohamed Abdelaal, Frank Dürr, Kurt Rothermel, Susanne Becker, Dieter Fritsch

Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

iSense: Energy-aware crowd-sensing framework.

Mohamed Abdelaal, Mohammad Qaid, Frank Dürr, Kurt Rothermel

Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

2016

Enabling Energy-Efficient Wireless Sensing with Improved Service Quality.

Mohamed Abdelaal

PhD thesis, 2016

Improving Energy Efficiency in QoS-Constrained Wireless Sensor Networks.

Mohamed Abdelaal, Oliver E. Theel, Christian Kuka, Peilin Zhang, Yang Gao, Vasilisa Bashlovkina, Daniela Nicklas, Martin Fränzle

Int. J. Distributed Sens. Networks, 2016

2015

QoS Improvement with Lifetime Planning in Wireless Sensor Networks.

Mohamed Abdelaal, Peilin Zhang, Oliver E. Theel

Proceedings of the 11th International Conference on Mobile Ad-hoc and Sensor Networks, 2015

Reliable virtual sensing for wireless sensor networks.

Mohamed Abdelaal, Christian Kuka, Oliver E. Theel, Daniela Nicklas

Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

FuzzyCAT: a novel procedure for refining the F-transform based sensor data compression.

Vasilisa Bashlovkina, Mohamed Abdelaal, Oliver E. Theel

Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

FuzzyCAT: A lightweight Adaptive Transform for sensor data compression.

Vasilisa Bashlovkina, Mohamed Abdelaal, Oliver E. Theel

Proceedings of the IEEE International Conference on Communication, 2015

Nonlinear Model Predictive Control for Tracking of Underactuated Vessels under Input Constraints.

Mohamed Abdelaal, Martin Fränzle, Axel Hahn

Proceedings of the 2015 IEEE European Modelling Symposium, 2015

2014

Recent energy-preservation endeavours for longlife wireless sensor networks: A concise survey.

Mohamed Abdelaal, Oliver E. Theel

Proceedings of the Eleventh International Conference on Wireless and Optical Communications Networks, 2014

EAVS: Energy aware virtual sensing for wireless sensor networks.

Mohamed Abdelaal, Yang Gao, Martin Fränzle, Oliver E. Theel

Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

Design and analysis of power conservation techniques for maximizing the lifetime expectancy of tiny sensing devices.

Mohamed Abdelaal

Proceedings of the 8th Joint Workshop of the German Research Training Groups in Computer Science, 2014