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Rami Al-Hmouz
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2020 – today
- 2024
- [j38]Rami Al-Hmouz, Witold Pedrycz, Medhat Awadallah, Ahmed Chiheb Ammari:
Granular transfer learning. Neurocomputing 600: 128126 (2024) - 2023
- [j37]Juan Antonio Morente-Molinera
, Ali Morfeq, Rami Al-Hmouz, E. B. Ashary, J. F. Su, Enrique Herrera-Viedma:
Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies. Appl. Soft Comput. 132: 109868 (2023) - 2022
- [j36]Rami Al-Hmouz
, Witold Pedrycz, Ahmed Chiheb Ammari, Ahmed Al-Hmouz:
A data variability index: Quantifying complexity of models and analyzing adversarial data. Int. J. Intell. Syst. 37(11): 8412-8435 (2022) - [j35]Rami Al-Hmouz
, Witold Pedrycz, Medhat Awadallah, Ahmed Al-Hmouz
:
Fuzzy relational representation, modeling and interpretation of temporal data. Knowl. Based Syst. 244: 108548 (2022) - [j34]Rami Al-Hmouz
, Witold Pedrycz
, Abdullah Saeed Balamash
, Ali Morfeq
:
Logic-Oriented Autoencoders and Granular Logic Autoencoders: Developing Interpretable Data Representation. IEEE Trans. Fuzzy Syst. 30(3): 869-877 (2022) - [j33]Juan Antonio Morente-Molinera
, Yinglin Wang, Zaiwu Gong
, Ali Morfeq
, Rami Al-Hmouz
, Enrique Herrera-Viedma
:
Reducing Criteria in Multicriteria Group Decision-Making Methods Using Hierarchical Clustering Methods and Fuzzy Ontologies. IEEE Trans. Fuzzy Syst. 30(6): 1585-1598 (2022) - 2021
- [j32]Mohammad Farhan Khan
, Rajesh Kumar Gazara, Muaffaq M. Nofal, Sohom Chakrabarty
, Elham M. A. Dannoun, Rami Al-Hmouz, Mohammad Mursaleen
:
Reinforcing Synthetic Data for Meticulous Survival Prediction of Patients Suffering From Left Ventricular Systolic Dysfunction. IEEE Access 9: 72661-72669 (2021) - [j31]Fuyuan Xiao, Masayoshi Aritsugi, Jemal H. Abawajy, Zehong Cao
, Rami Al-Hmouz, Peide Liu:
Editorial on Special Issue: "Applications of Intelligent and Fuzzy Theory in Data Science". Int. J. Fuzzy Syst. 23(2): 492-493 (2021) - 2020
- [j30]Mohammad Farhan Khan
, Deepali Goyal
, Muaffaq M. Nofal
, Ekram Khan
, Rami Al-Hmouz
, Enrique Herrera-Viedma
:
Fuzzy-Based Histogram Partitioning for Bi-Histogram Equalisation of Low Contrast Images. IEEE Access 8: 11595-11614 (2020) - [j29]Francisco Javier Cabrerizo
, Rami Al-Hmouz, Ali Morfeq, María Ángeles Martínez, Witold Pedrycz, Enrique Herrera-Viedma:
Estimating incomplete information in group decision making: A framework of granular computing. Appl. Soft Comput. 86 (2020) - [j28]Abdullah Saeed Balamash
, Witold Pedrycz, Rami Al-Hmouz, Ali Morfeq:
Data Description Through Information Granules: A Multiview Perspective. Int. J. Fuzzy Syst. 22(6): 1731-1747 (2020) - [j27]Juan Antonio Morente-Molinera, X. Wu, Ali Morfeq, Rami Al-Hmouz, Enrique Herrera-Viedma:
A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus measures. Inf. Fusion 53: 240-250 (2020)
2010 – 2019
- 2019
- [j26]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash
, Ali Morfeq:
Logic-driven autoencoders. Knowl. Based Syst. 183 (2019) - [j25]Rami Al-Hmouz
, Witold Pedrycz, Khaled Daqrouq, Ali Morfeq, Ahmed Al-Hmouz:
Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures. Soft Comput. 23(2): 407-418 (2019) - [j24]Witold Pedrycz, Rami Al-Hmouz
, Abdullah Saeed Balamash
, Ali Morfeq:
Granular autoencoders: concepts and design. Soft Comput. 23(20): 9869-9880 (2019) - 2018
- [j23]Rami Al-Hmouz, Witold Pedrycz, Khaled Daqrouq, Ali Morfeq:
Development of Multimodal Biometric Systems with Three-Way and Fuzzy Set-Based Decision Mechanisms. Int. J. Fuzzy Syst. 20(1): 128-140 (2018) - [j22]Rami Al-Hmouz
, Witold Pedrycz, Abdullah Saeed Balamash
, Ali Morfeq:
Granular description of data in a non-stationary environment. Soft Comput. 22(2): 523-540 (2018) - [j21]Rami Al-Hmouz
, Witold Pedrycz
, Abdullah Saeed Balamash
, Ali Morfeq:
Hierarchical System Modeling. IEEE Trans. Fuzzy Syst. 26(1): 258-269 (2018) - 2017
- [j20]Abdullah Saeed Balamash
, Witold Pedrycz, Rami Al-Hmouz
, Ali Morfeq:
Perspective-oriented data analysis through the development of information granules of order 2. Int. J. Approx. Reason. 85: 97-106 (2017) - [j19]Osman Taylan
, Mohamed A. Zytoon
, Ali Morfeq, Rami Al-Hmouz, Enrique Herrera-Viedma:
Workplace assessment by fuzzy decision tree and TOPSIS methodologies to manage the occupational safety and health performance. J. Intell. Fuzzy Syst. 33(2): 1209-1224 (2017) - [j18]Witold Pedrycz, Rami Al-Hmouz
, Abdullah Saeed Balamash
, Ali Morfeq:
Modeling with linguistic entities and linguistic descriptors: a perspective of granular computing. Soft Comput. 21(7): 1833-1845 (2017) - [j17]Abdullah Saeed Balamash
, Witold Pedrycz, Rami Al-Hmouz
, Ali Morfeq:
Granular classifiers and their design through refinement of information granules. Soft Comput. 21(10): 2745-2759 (2017) - [j16]Francisco Javier Cabrerizo
, Rami Al-Hmouz
, Ali Morfeq, Abdullah Saeed Balamash
, María Ángeles Martínez, Enrique Herrera-Viedma:
Soft consensus measures in group decision making using unbalanced fuzzy linguistic information. Soft Comput. 21(11): 3037-3050 (2017) - 2016
- [j15]Rami Al-Hmouz
, Witold Pedrycz:
Models of time series with time granulation. Knowl. Inf. Syst. 48(3): 561-580 (2016) - [j14]Juan Antonio Morente-Molinera, Rami Al-Hmouz, Ali Morfeq, Abdullah Saeed Balamash, Enrique Herrera-Viedma:
Decision Support System for Decision Making in Changeable and Multi-Granular Fuzzy Linguistic Contexts. J. Multiple Valued Log. Soft Comput. 26(3-5): 485-514 (2016) - 2015
- [j13]Abdullah Saeed Balamash
, Witold Pedrycz, Rami Al-Hmouz
, Ali Morfeq:
An expansion of fuzzy information granules through successive refinements of their information content and their use to system modeling. Expert Syst. Appl. 42(6): 2985-2997 (2015) - [j12]Rami Al-Hmouz
, Witold Pedrycz, Abdullah Saeed Balamash
:
Description and prediction of time series: A general framework of Granular Computing. Expert Syst. Appl. 42(10): 4830-4839 (2015) - [j11]Francisco Javier Cabrerizo
, Francisco Chiclana
, Rami Al-Hmouz
, Ali Morfeq, Abdullah Saeed Balamash
, Enrique Herrera-Viedma:
Fuzzy decision making and consensus: Challenges. J. Intell. Fuzzy Syst. 29(3): 1109-1118 (2015) - [j10]Witold Pedrycz, Rami Al-Hmouz
, Abdullah Saeed Balamash
, Ali Morfeq:
Designing granular fuzzy models: A hierarchical approach to fuzzy modeling. Knowl. Based Syst. 76: 42-52 (2015) - [j9]Rami Al-Hmouz
, Witold Pedrycz, Abdullah Saeed Balamash
, Ali Morfeq:
Description and classification of granular time series. Soft Comput. 19(4): 1003-1017 (2015) - [j8]Witold Pedrycz, Rami Al-Hmouz
, Ali Morfeq, Abdullah Saeed Balamash
:
Distributed proximity-based granular clustering: towards a development of global structural relationships in data. Soft Comput. 19(10): 2751-2767 (2015) - [j7]Witold Pedrycz, Rami Al-Hmouz
, Abdullah Saeed Balamash
, Ali Morfeq:
Hierarchical Granular Clustering: An Emergence of Information Granules of Higher Type and Higher Order. IEEE Trans. Fuzzy Syst. 23(6): 2270-2283 (2015) - 2014
- [j6]Rami Al-Hmouz
, Khalid Aboura:
License plate localization using a statistical analysis of Discrete Fourier Transform signal. Comput. Electr. Eng. 40(3): 982-992 (2014) - [j5]Witold Pedrycz, Rami Al-Hmouz
, Ali Morfeq, Abdullah Saeed Balamash
:
Building granular fuzzy decision support systems. Knowl. Based Syst. 58: 3-10 (2014) - [c5]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash
, Ali Morfeq:
From data to granular data and granular classifiers. FUZZ-IEEE 2014: 432-438 - [i1]Mohammad Momani, Maen Takruri, Rami Al-Hmouz:
Risk Assessment Algorithm in Wireless Sensor Networks using Beta Distribution. CoRR abs/1410.3041 (2014) - 2013
- [j4]Witold Pedrycz, Rami Al-Hmouz
, Ali Morfeq, Abdullah Saeed Balamash
:
The Design of Free Structure Granular Mappings: The Use of the Principle of Justifiable Granularity. IEEE Trans. Cybern. 43(6): 2105-2113 (2013) - [c4]Rami Al-Hmouz
, Witold Pedrycz, Abdullah Saeed Balamash
, Ali Morfeq:
Granular representation schemes of time series: A study in an optimal allocation of information granularity. FOCI 2013: 44-51 - 2012
- [j3]Ahmed Al-Hmouz, Jun Shen
, Rami Al-Hmouz
, Jun Yan
:
Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning. IEEE Trans. Learn. Technol. 5(3): 226-237 (2012) - 2011
- [c3]Ahmed Al-Hmouz, Jun Shen
, Jun Yan
, Rami Al-Hmouz
:
Modeling Mobile Learning System Using ANFIS. ICALT 2011: 378-380 - 2010
- [j2]Mohammad Momani, Subhash Challa, Rami Al-Hmouz
:
Bayesian Fusion Algorithm for Inferring Trust in Wireless Sensor Networks. J. Networks 5(7): 815-822 (2010) - [j1]Rami Al-Hmouz
, Subhash Challa:
License plate localization based on a probabilistic model. Mach. Vis. Appl. 21(3): 319-330 (2010) - [c2]Ahmed Al-Hmouz, Jun Shen
, Jun Yan
, Rami Al-Hmouz
:
Enhanced learner model for adaptive mobile learning. iiWAS 2010: 783-786
2000 – 2009
- 2007
- [c1]Rami Al-Hmouz, Subhash Challa, Duc Vo:
Probabilistic modeling and fusion for image feature extraction with applications to license plate detection. VISAPP (1) 2007: 398-403
Coauthor Index
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last updated on 2024-07-17 21:25 CEST by the dblp team
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