Tamer Abuhmed
Orcid: 0000-0001-9232-4843
According to our database1,
Tamer Abuhmed
authored at least 49 papers
between 2008 and 2023.
Collaborative distances:
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Bibliography
2023
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence.
Inf. Fusion, November, 2023
Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges.
Artif. Intell. Rev., October, 2023
Explainable probabilistic deep learning framework for seismic assessment of structures using distribution-free prediction intervals.
Comput. Aided Civ. Infrastructure Eng., August, 2023
Geo spatial Inf. Sci., July, 2023
Effective Multitask Deep Learning for IoT Malware Detection and Identification Using Behavioral Traffic Analysis.
IEEE Trans. Netw. Serv. Manag., June, 2023
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease.
Comput. Methods Programs Biomed., June, 2023
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data.
Inf. Fusion, April, 2023
Early Detection of Alzheimer's Disease Based on Laplacian Re-Decomposition and XGBoosting.
Comput. Syst. Sci. Eng., 2023
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks.
CoRR, 2023
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems.
CoRR, 2023
CoRR, 2023
LSTM deep learning model for Alzheimer's disease prediction based on cost-effective time series cognitive scores.
Proceedings of the 5th Novel Intelligent and Leading Emerging Sciences Conference, 2023
Proceedings of the 17th International Conference on Ubiquitous Information Management and Communication, 2023
2022
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data.
IEEE J. Biomed. Health Informatics, 2022
Two-stage deep learning model for Alzheimer's disease detection and prediction of the mild cognitive impairment time.
Neural Comput. Appl., 2022
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning.
Neural Comput. Appl., 2022
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients.
J. Biomed. Informatics, 2022
Automatic detection of Alzheimer's disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers.
Neurocomputing, 2022
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning.
CoRR, 2022
Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2022
IEEE Access, 2022
MLxPack: Investigating the Effects of Packers on ML-based Malware Detection Systems Using Static and Dynamic Traits.
Proceedings of the CySSS@AsiaCCS'22: Proceedings of the 1st Workshop on Cybersecurity and Social Sciences, 2022
Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
2021
ACM Trans. Priv. Secur., 2021
Knowl. Based Syst., 2021
Alzheimer's disease progression detection model based on an early fusion of cost-effective multimodal data.
Future Gener. Comput. Syst., 2021
An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic.
CoRR, 2021
The Role of Medication Data to Enhance the Prediction of Alzheimer's Progression Using Machine Learning.
Comput. Intell. Neurosci., 2021
Classification and Analysis of Android Malware Images Using Feature Fusion Technique.
IEEE Access, 2021
Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions.
IEEE Access, 2021
Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021
2020
Proc. Priv. Enhancing Technol., 2020
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors.
IEEE Internet Things J., 2020
Multimodal multitask deep learning model for Alzheimer's disease progression detection based on time series data.
Neurocomputing, 2020
Performance Analysis and Constellation Design for the Parallel Quadrature Spatial Modulation.
Entropy, 2020
Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model.
IEEE Access, 2020
Alzheimer Disease Prediction Model Based on Decision Fusion of CNN-BiLSTM Deep Neural Networks.
Proceedings of the Intelligent Systems and Applications, 2020
2019
Future Gener. Comput. Syst., 2019
2018
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018
2017
2015
IEEE Trans. Hum. Mach. Syst., 2015
2012
Proceedings of IEEE International Conference on Communications, 2012
2011
Ad Hoc Sens. Wirel. Networks, 2011
Mistaking friends for foes: an analysis of a social network-based Sybil defense in mobile networks.
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, 2011
2009
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009
2008
Two-level Key Pool Design-based Random Key Pre-distribution in Wireless Sensor Networks.
KSII Trans. Internet Inf. Syst., 2008