Rami Al-Hmouz

Orcid: 0000-0001-8710-0706

According to our database1, Rami Al-Hmouz authored at least 44 papers between 2007 and 2024.

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Bibliography

2024
Granular transfer learning.
Neurocomputing, 2024

2023
Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies.
Appl. Soft Comput., 2023

2022
Reducing Criteria in Multicriteria Group Decision-Making Methods Using Hierarchical Clustering Methods and Fuzzy Ontologies.
IEEE Trans. Fuzzy Syst., 2022

Logic-Oriented Autoencoders and Granular Logic Autoencoders: Developing Interpretable Data Representation.
IEEE Trans. Fuzzy Syst., 2022

Fuzzy relational representation, modeling and interpretation of temporal data.
Knowl. Based Syst., 2022

A data variability index: Quantifying complexity of models and analyzing adversarial data.
Int. J. Intell. Syst., 2022

2021
Editorial on Special Issue: "Applications of Intelligent and Fuzzy Theory in Data Science".
Int. J. Fuzzy Syst., 2021

Reinforcing Synthetic Data for Meticulous Survival Prediction of Patients Suffering From Left Ventricular Systolic Dysfunction.
IEEE Access, 2021

2020
A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus measures.
Inf. Fusion, 2020

Data Description Through Information Granules: A Multiview Perspective.
Int. J. Fuzzy Syst., 2020

Estimating incomplete information in group decision making: A framework of granular computing.
Appl. Soft Comput., 2020

Fuzzy-Based Histogram Partitioning for Bi-Histogram Equalisation of Low Contrast Images.
IEEE Access, 2020

2019
Granular autoencoders: concepts and design.
Soft Comput., 2019

Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures.
Soft Comput., 2019

Logic-driven autoencoders.
Knowl. Based Syst., 2019

2018
Hierarchical System Modeling.
IEEE Trans. Fuzzy Syst., 2018

Granular description of data in a non-stationary environment.
Soft Comput., 2018

Development of Multimodal Biometric Systems with Three-Way and Fuzzy Set-Based Decision Mechanisms.
Int. J. Fuzzy Syst., 2018

2017
Modeling with linguistic entities and linguistic descriptors: a perspective of granular computing.
Soft Comput., 2017

Soft consensus measures in group decision making using unbalanced fuzzy linguistic information.
Soft Comput., 2017

Granular classifiers and their design through refinement of information granules.
Soft Comput., 2017

Workplace assessment by fuzzy decision tree and TOPSIS methodologies to manage the occupational safety and health performance.
J. Intell. Fuzzy Syst., 2017

Perspective-oriented data analysis through the development of information granules of order 2.
Int. J. Approx. Reason., 2017

2016
Decision Support System for Decision Making in Changeable and Multi-Granular Fuzzy Linguistic Contexts.
J. Multiple Valued Log. Soft Comput., 2016

Models of time series with time granulation.
Knowl. Inf. Syst., 2016

2015
Hierarchical Granular Clustering: An Emergence of Information Granules of Higher Type and Higher Order.
IEEE Trans. Fuzzy Syst., 2015

Distributed proximity-based granular clustering: towards a development of global structural relationships in data.
Soft Comput., 2015

Description and classification of granular time series.
Soft Comput., 2015

Designing granular fuzzy models: A hierarchical approach to fuzzy modeling.
Knowl. Based Syst., 2015

Fuzzy decision making and consensus: Challenges.
J. Intell. Fuzzy Syst., 2015

An expansion of fuzzy information granules through successive refinements of their information content and their use to system modeling.
Expert Syst. Appl., 2015

Description and prediction of time series: A general framework of Granular Computing.
Expert Syst. Appl., 2015

2014
Building granular fuzzy decision support systems.
Knowl. Based Syst., 2014

Risk Assessment Algorithm in Wireless Sensor Networks using Beta Distribution.
CoRR, 2014

License plate localization using a statistical analysis of Discrete Fourier Transform signal.
Comput. Electr. Eng., 2014

From data to granular data and granular classifiers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
The Design of Free Structure Granular Mappings: The Use of the Principle of Justifiable Granularity.
IEEE Trans. Cybern., 2013

Granular representation schemes of time series: A study in an optimal allocation of information granularity.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2013

2012
Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning.
IEEE Trans. Learn. Technol., 2012

2011
Modeling Mobile Learning System Using ANFIS.
Proceedings of the ICALT 2011, 2011

2010
License plate localization based on a probabilistic model.
Mach. Vis. Appl., 2010

Bayesian Fusion Algorithm for Inferring Trust in Wireless Sensor Networks.
J. Networks, 2010

Enhanced learner model for adaptive mobile learning.
Proceedings of the iiWAS'2010, 2010

2007
Probabilistic modeling and fusion for image feature extraction with applications to license plate detection.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007


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