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Mohammad Tubishat
Mohammad Tubishat
Assistant Professor, Zayed University
Verified email at zu.ac.ae
Title
Cited by
Cited by
Year
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
M Tubishat, N Idris, L Shuib, MAM Abushariah, S Mirjalili
Expert Systems with Applications 145, 113122, 2020
3152020
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
M Tubishat, MAM Abushariah, N Idris, I Aljarah
Applied Intelligence 49, 1688-1707, 2019
2372019
Dynamic salp swarm algorithm for feature selection
M Tubishat, S Ja'afar, M Alswaitti, S Mirjalili, N Idris, MA Ismail, MS Omar
Expert Systems with Applications 164, 113873, 2021
1712021
Implicit aspect extraction in sentiment analysis: Review, taxonomy, oppportunities, and open challenges
M Tubishat, N Idris, MAM Abushariah
Information Processing & Management 54 (4), 545-563, 2018
1362018
An improved harris hawks optimization algorithm with simulated annealing for feature selection in the medical field
ZM Elgamal, NBM Yasin, M Tubishat, M Alswaitti, S Mirjalili
IEEE access 8, 186638-186652, 2020
1282020
Improved harris hawks optimization using elite opposition-based learning and novel search mechanism for feature selection
R Sihwail, K Omar, KAZ Ariffin, M Tubishat
IEEE Access 8, 121127-121145, 2020
1062020
Dynamic butterfly optimization algorithm for feature selection
M Tubishat, M Alswaitti, S Mirjalili, MA Al-Garadi, TA Rana
IEEE Access 8, 194303-194314, 2020
1032020
Explicit aspects extraction in sentiment analysis using optimal rules combination
M Tubishat, N Idris, M Abushariah
Future Generation Computer Systems 114, 448-480, 2021
472021
Improved equilibrium optimization algorithm using elite opposition-based learning and new local search strategy for feature selection in medical datasets
ZM Elgamal, NM Yasin, AQM Sabri, R Sihwail, M Tubishat, H Jarrah
Computation 9 (6), 68, 2021
452021
Hybrid binary dragonfly algorithm with simulated annealing for feature selection
H Chantar, M Tubishat, M Essgaer, S Mirjalili
SN computer science 2 (4), 295, 2021
432021
Improved reptile search optimization algorithm using chaotic map and simulated annealing for feature selection in medical field
Z Elgamal, AQM Sabri, M Tubishat, D Tbaishat, SN Makhadmeh, ...
IEEE Access 10, 51428-51446, 2022
302022
Improved sine cosine algorithm with simulated annealing and singer chaotic map for Hadith classification
M Tubishat, S Ja’afar, N Idris, MA Al-Betar, M Alswaitti, H Jarrah, ...
Neural Computing and Applications, 1-22, 2022
212022
A hybrid genetic algorithm and sperm swarm optimization (HGASSO) for multimodal functions
HA Shehadeh, HMJ Mustafa, M Tubishat
International Journal of Applied Metaheuristic Computing (IJAMC) 13 (1), 1-33, 2022
162022
Explicit and implicit aspect extraction using whale optimization algorithm and hybrid approach
M Tubishat, N Idris
2018 International Conference on Industrial Enterprise and System …, 2019
152019
TOP-rank: a novel unsupervised approach for topic prediction using keyphrase extraction for Urdu documents
A Amin, TA Rana, NA Mian, MW Iqbal, A Khalid, T Alyas, M Tubishat
IEEE Access 8, 212675-212686, 2020
112020
The use of location based services for very fast and precise accidents' reporting and locating
F Alkhateeb, E Al Maghayreh, M Tubishat, S Aljawarneh
2010 International Conference on Intelligent systems, Modelling and …, 2010
112010
An unsupervised approach for sentiment analysis on social media short text classification in roman Urdu
TA Rana, K Shahzadi, T Rana, A Arshad, M Tubishat
Transactions on Asian and Low-Resource Language Information Processing 21 (2 …, 2021
102021
Metaheuristic based IDS using multi-objective wrapper feature selection and neural network classification
WAHM Ghanem, YAB El-Ebiary, M Abdulnab, M Tubishat, NAM Alduais, ...
Advances in Cyber Security: Second International Conference, ACeS 2020 …, 2021
92021
Sentiment analysis of using chatgpt in education
M Tubishat, F Al-Obeidat, A Shuhaiber
2023 International Conference on Smart Applications, Communications and …, 2023
62023
Enhancing Rice Leaf Disease Classification: A Customized Convolutional Neural Network Approach
AK Abasi, SN Makhadmeh, OA Alomari, M Tubishat, HJ Mohammed
Sustainability 15 (20), 15039, 2023
52023
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Articles 1–20