Dr. Ernesto Lee

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	Wszystkie	Od 2019
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Furqan RustamSchool of Computer ScienceZweryfikowany adres z umt.edu.pk
Imran AshrafYeungnam University, Republic of KoreaZweryfikowany adres z ynu.ac.kr
Patrick Bernard WashingtonAssociate Professor of Finance, Morehouse CollegeZweryfikowany adres z morehouse.edu
Wajdi AljedaaniUniversity of North TexasZweryfikowany adres z my.unt.edu
Vaibhav RupaparaFlorida International UniversityZweryfikowany adres z fiu.edu
Aijaz Ahmad ReshiAssociate Professor, College of Computer Science and Engineering, Taibah UniversityZweryfikowany adres z taibahu.edu.sa
Sandra DudleyProfessor in CommunicationsZweryfikowany adres z lsbu.ac.uk
Dr. Saleem UllahAssociate Professor in Department of Computer Science, Khwaja Fareed University of Engineering & ITZweryfikowany adres z kfueit.edu.pk
Abid IshaqIslamia University of BahawalpurZweryfikowany adres z iub.edu.pk
Rahman ShafiqueResearch Scholar at Yeungnam University South KoreaZweryfikowany adres z yu.ac.kr
Hina Fatima ShahzadComputer Science Department, KFUEITZweryfikowany adres z kfueit.edu.pk
Adil Ali SaleemKhwaja Fareed University of Engineering and Information TechnologyZweryfikowany adres z kfueit.edu.pk
El Barakaz FatimaLAROSERI laboratory, Faculty of Sciences, CHOUAIB DOUKKALI UniversityZweryfikowany adres z ucd.ac.ma
Naila AslamZweryfikowany adres z umt.edu.pk
ZIYAD ALRABIAHKing Saud UniversityZweryfikowany adres z ksu.edu.sa
Cucu Ahmad SulaemanSDN 1 CigunungZweryfikowany adres z guru.sd.belajar.id
Shafiq Ur RehmanCenter for software dependability, CUST, IslamabadZweryfikowany adres z riu.edu.pk
Arif MehmoodYeungnam UniversityZweryfikowany adres z ynu.ac.kr
Manideep NarraIndiana Technological UniversityZweryfikowany adres z salliemae.com
Abdullatif GhallabAssociate Professor of Artificial Intelligence, University of Science and Technology, Sana’a, YemenZweryfikowany adres z ust.edu.ye

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Dr. Ernesto Lee

Data Analytics Faculty, Miami Dade College

Zweryfikowany adres z mdc.edu - Strona główna

machine learning blockchain deep learning ethical AI bias in machine learning models


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Sentiment analysis and topic modeling on tweets about online education during COVID-19 M Mujahid, E Lee, F Rustam, PB Washington, S Ullah, AA Reshi, I Ashraf Applied Sciences 11 (18), 8438, 2021	160	2021
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry W Aljedaani, F Rustam, MW Mkaouer, A Ghallab, V Rupapara, ... Knowledge-Based Systems 255, 109780, 2022	64	2022
The issue of software reliability in program code cloning E Lee, F Rabbi, H Almashaqbeh, A Aljarbouh, J Ascencio, NV Bystrova AIP Conference Proceedings 2700 (1), 2023	60	2023
Sentiment analysis and emotion detection on cryptocurrency related tweets using ensemble LSTM-GRU model N Aslam, F Rustam, E Lee, PB Washington, I Ashraf Ieee Access 10, 39313-39324, 2022	57	2022
Non-invasive driver drowsiness detection system HUR Siddiqui, AA Saleem, R Brown, B Bademci, E Lee, F Rustam, ... Sensors 21 (14), 4833, 2021	55	2021
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model V Rupapara, F Rustam, W Aljedaani, HF Shahzad, E Lee, I Ashraf Scientific reports 12 (1), 1000, 2022	43	2022
Racism detection by analyzing differential opinions through sentiment analysis of tweets using stacked ensemble gcr-nn model E Lee, F Rustam, PB Washington, F El Barakaz, W Aljedaani, I Ashraf IEEE Access 10, 9717-9728, 2022	41	2022
Covid-19 vaccination-related sentiments analysis: a case study using worldwide twitter dataset AA Reshi, F Rustam, W Aljedaani, S Shafi, A Alhossan, Z Alrabiah, ... Healthcare 10 (3), 411, 2022	37	2022
A novel approach to railway track faults detection using acoustic analysis R Shafique, HUR Siddiqui, F Rustam, S Ullah, MA Siddique, E Lee, ... Sensors 21 (18), 6221, 2021	36	2021
Analysis and evaluation of barriers influencing blockchain implementation in Moroccan sustainable supply chain management: an integrated IFAHP-DEMATEL framework O Boutkhoum, M Hanine, M Nabil, F El Barakaz, E Lee, F Rustam, I Ashraf Mathematics 9 (14), 1601, 2021	31	2021
Deepfake tweets classification using stacked Bi-LSTM and words embedding V Rupapara, F Rustam, A Amaar, PB Washington, E Lee, I Ashraf PeerJ Computer Science 7, e745, 2021	30	2021
A comprehensive review of denial of service attacks in blockchain ecosystem and open challenges R Chaganti, RV Boppana, V Ravi, K Munir, M Almutairi, F Rustam, E Lee, ... IEEE Access 10, 96538-96555, 2022	25	2022
Inquest of current situation in Afghanistan under Taliban rule using sentiment analysis and volume analysis E Lee, F Rustam, I Ashraf, PB Washington, M Narra, R Shafique IEEE Access 10, 10333-10348, 2022	25	2022
Respiration based non-invasive approach for emotion recognition using impulse radio ultra wide band radar and machine learning HUR Siddiqui, HF Shahzad, AA Saleem, AB Khan Khakwani, F Rustam, ... Sensors 21 (24), 8336, 2021	25	2021
Vector mosquito image classification using novel RIFS feature selection and machine learning models for disease epidemiology F Rustam, AA Reshi, W Aljedaani, A Alhossan, A Ishaq, S Shafi, E Lee, ... Saudi Journal of Biological Sciences 29 (1), 583-594, 2022	24	2022
Malicious traffic detection in iot and local networks using stacked ensemble classifier PL Indrasiri, E Lee, V Rupapara, F Rustam, I Ashraf Computers, Materials and Continua 71 (1), 489-515, 2022	21	2022
Integrating learning analytics and collaborative learning for improving student’s academic performance A Rafique, MS Khan, MH Jamal, M Tasadduq, F Rustam, E Lee, ... IEEE Access 9, 167812-167826, 2021	20	2021
FinTech adoption in SMEs and bank credit supplies: a study on manufacturing SMEs SU Rehman, M Al-Shaikh, PB Washington, E Lee, Z Song, ... Economies 11 (8), 213, 2023	19	2023
Railway track inspection using deep learning based on audio to spectrogram conversion: An on-the-fly approach MSA Hashmi, M Ibrahim, IS Bajwa, HUR Siddiqui, F Rustam, E Lee, ... Sensors 22 (5), 1983, 2022	19	2022
Deep learning based early detection framework for preliminary diagnosis of COVID-19 via onboard smartphone sensors H Khaloufi, K Abouelmehdi, A Beni-Hssane, F Rustam, AD Jurcut, E Lee, ... Sensors 21 (20), 6853, 2021	16	2021

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