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Salem Alelyani
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2020 – today
- 2023
- [j11]Anchal Tyagi, Salem Alelyani, Sapna Katiyar, Mohammad Rashid Hussain, Rijwan Khan, Mohammed Saleh Alsaqer:
Radial Basis Approximations Based BEMD for Enhancement of Non-Uniform Illumination Images. Comput. Syst. Sci. Eng. 45(2): 1423-1438 (2023) - [j10]Saeed-Ul Hassan, Naif Radi Aljohani, Usman Iqbal Tarar, Iqra Safder, Raheem Sarwar, Salem Alelyani, Raheel Nawaz:
Exploiting tweet sentiments in altmetrics large-scale data. J. Inf. Sci. 49(5): 1229-1245 (2023) - 2022
- [j9]Noor Arshad, Abu Bakar, Saira Hanif Soroya, Iqra Safder, Sajjad Haider, Saeed-Ul Hassan, Naif Radi Aljohani, Salem Alelyani, Raheel Nawaz:
Extracting scientific trends by mining topics from Call for Papers. Libr. Hi Tech 40(1): 115-132 (2022) - [i5]Mohamed Mohana, Prasanalakshmi B, Salem Alelyani, Mohammed Saleh Alsaqer:
Fused Deep Neural Network based Transfer Learning in Occluded Face Classification and Person re-Identification. CoRR abs/2205.07203 (2022) - 2021
- [j8]Hajra Waheed, Muhammad Anas Hasnul, Saeed-Ul Hassan, Naif Radi Aljohani, Salem Alelyani, Ernest Edifor, Raheel Nawaz:
Balancing sequential data to predict students at-risk using adversarial networks. Comput. Electr. Eng. 93: 107274 (2021) - [j7]Iqra Safder, Zainab Mahmood, Raheem Sarwar, Saeed-Ul Hassan, Farooq Zaman, Rao Muhammad Adeel Nawab, Faisal Bukhari, Rabeeh Ayaz Abbasi, Salem Alelyani, Naif Radi Aljohani, Raheel Nawaz:
Sentiment analysis for Urdu online reviews using deep learning models. Expert Syst. J. Knowl. Eng. 38(8) (2021) - [j6]Salem Alelyani:
Stable bagging feature selection on medical data. J. Big Data 8(1): 1-18 (2021) - [j5]Sehrish Iqbal, Saeed-Ul Hassan, Naif Radi Aljohani, Salem Alelyani, Raheel Nawaz, Lutz Bornmann:
A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies. Scientometrics 126(8): 6551-6599 (2021) - [j4]Muhammad Anas Hasnul, Nor Azlina Bt Ab. Aziz, Salem Alelyani, Mohamed Mohana, Azlan Abd. Aziz:
Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare - A Review. Sensors 21(15): 5015 (2021) - [c7]Mohammad Rashid Hussain, Ayman Qahmash, Salem Alelyani, Mohammed Saleh Alsaqer:
Optimal Solution of Transportation Problem with Effective Approach Mount Order Method: An Operational Research Tool. SAI (2) 2021: 1151-1168 - [i4]C. Anand Deva Durai, T. Jemima Jebaseeli, Salem Alelyani, Azath Mubharakali:
Early Prediction and Diagnosis of Retinoblastoma Using Deep Learning Techniques. CoRR abs/2103.07622 (2021) - [i3]Sharifah Noor Masidayu Sayed Ismail, Nor Azlina Bt Ab. Aziz, Siti Zainab Ibrahim, Sophan Wahyudi Nawawi, Salem Alelyani, Mohamed Mohana, Lee Chia Chun:
Evaluation of electrocardiogram: numerical vs. image data for emotion recognition system. F1000Research 10: 1114 (2021) - 2020
- [j3]Hajra Waheed, Saeed-Ul Hassan, Naif Radi Aljohani, Julie Hardman, Salem Alelyani, Raheel Nawaz:
Predicting academic performance of students from VLE big data using deep learning models. Comput. Hum. Behav. 104: 106189 (2020) - [j2]Saeed-Ul Hassan, Sehrish Iqbal, Naif R. Aljohani, Salem Alelyani, Alesia A. Zuccala:
Introducing the 'alt-index' for measuring the social visibility of scientific research. Scientometrics 123(3): 1407-1419 (2020) - [j1]Dorte Drongstrup, Shafaq Malik, Naif Radi Aljohani, Salem Alelyani, Iqra Safder, Saeed-Ul Hassan:
Can social media usage of scientific literature predict journal indices of AJG, SNIP and JCR? An altmetric study of economics. Scientometrics 125(2): 1541-1558 (2020) - [i2]Sehrish Iqbal, Saeed-Ul Hassan, Naif Radi Aljohani, Salem Alelyani, Raheel Nawaz, Lutz Bornmann:
A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies. CoRR abs/2008.13020 (2020) - [i1]Saeed-Ul Hassan, Naif Radi Aljohani, Usman Iqbal Tarar, Iqra Safder, Raheem Sarwar, Salem Alelyani, Raheel Nawaz:
Exploiting Tweet Sentiments in Altmetrics Large-Scale Data. CoRR abs/2008.13023 (2020)
2010 – 2019
- 2015
- [c6]Salem Alelyani, Huan Liu:
A Local SVD Framework for Stable Feature Selection for Clustering. IRI 2015: 236-243 - 2014
- [p2]Jiliang Tang, Salem Alelyani, Huan Liu:
Feature Selection for Classification: A Review. Data Classification: Algorithms and Applications 2014: 37-64 - 2013
- [b1]Salem Alelyani:
On Feature Selection Stability: A Data Perspective. Arizona State University, Tempe, USA, 2013 - [p1]Salem Alelyani, Jiliang Tang, Huan Liu:
Feature Selection for Clustering: A Review. Data Clustering: Algorithms and Applications 2013: 29-60 - 2012
- [c5]Salem Alelyani, Huan Liu:
Supervised Low Rank Matrix Approximation for Stable Feature Selection. ICMLA (1) 2012: 324-329 - [c4]Salem Alelyani, Huan Liu:
Ensemble Feature Selection in Face Recognition: ICMLA 2012 Challenge. ICMLA (2) 2012: 588-591 - 2011
- [c3]Salem Alelyani, Zheng Zhao, Huan Liu:
A Dilemma in Assessing Stability of Feature Selection Algorithms. HPCC 2011: 701-707 - [c2]Salem Alelyani, Huan Liu, Lei Wang:
The Effect of the Characteristics of the Dataset on the Selection Stability. ICTAI 2011: 970-977 - [c1]Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, Rodrigo Fernandes de Mello, Salem Alelyani, Huan Liu:
Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach. ICTAI 2011: 994-997
Coauthor Index
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