Deep transfer learning-based bird species classification using mel spectrogram images von Baowaly, Mrinal Kanti, Sarkar, Bisnu Chandra, Walid, Md Abul Ala, Ahamad, Md Martuza, Singh, Bikash Chandra, Alvarado, Eduardo Silva, Ashraf, Imran, Samad, Md Abdus

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A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh von Uddin, Md. Jamal, Ahamad, Md. Martuza, Hoque, Md. Nesarul, Walid, Md. Abul Ala, Aktar, Sakifa, Alotaibi, Naif, Alyami, Salem A, Kabir, Muhammad Ashad, Moni, Mohammad Ali

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Early-Stage Detection of Ovarian Cancer Based on Clinical Data Using Machine Learning Approaches von Ahamad, Md. Martuza, Aktar, Sakifa, Uddin, Md. Jamal, Rahman, Tasnia, Alyami, Salem A., Al-Ashhab, Samer, Akhdar, Hanan Fawaz, Azad, AKM, Moni, Mohammad Ali

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Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity von Ahamad, Md Martuza, Aktar, Sakifa, Uddin, Md Jamal, Rashed-Al-Mahfuz, Md, Azad, A K M, Uddin, Shahadat, Alyami, Salem A, Sarker, Iqbal H, Khan, Asaduzzaman, Liò, Pietro, Quinn, Julian M W, Moni, Mohammad Ali

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Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19 von Aktar, Sakifa, Talukder, Ashis, Ahamad, Md Martuza, Kamal, A. H. M., Khan, Jahidur Rahman, Protikuzzaman, Md, Hossain, Nasif, Azad, A. K. M., Quinn, Julian M. W., Summers, Mathew A., Liaw, Teng, Eapen, Valsamma, Moni, Mohammad Ali

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An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder von Uddin, Md. Jamal, Ahamad, Md. Martuza, Sarker, Prodip Kumar, Aktar, Sakifa, Alotaibi, Naif, Alyami, Salem A, Kabir, Muhammad Ashad, Moni, Mohammad Ali

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Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries von Islam, Sheikh Mohammed Shariful, Talukder, Ashis, Awal, Md Abdul, Siddiqui, Md Muhammad Umer, Ahamad, Md Martuza, Ahammed, Benojir, Rawal, Lal B, Alizadehsani, Roohallah, Abawajy, Jemal, Laranjo, Liliana, Chow, Clara K, Maddison, Ralph

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Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification von Walid, Md. Abul Ala, Mollick, Swarnali, Shill, Pintu Chandra, Baowaly, Mrinal Kanti, Islam, Md. Rabiul, Ahamad, Md. Martuza, Othman, Manal A., Samad, Md Abdus

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A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients von Ahamad, Md. Martuza, Aktar, Sakifa, Rashed-Al-Mahfuz, Md, Uddin, Shahadat, Liò, Pietro, Xu, Haoming, Summers, Matthew A., Quinn, Julian M.W., Moni, Mohammad Ali

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Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development von Aktar, Sakifa, Ahamad, Md Martuza, Rashed-Al-Mahfuz, Md, Azad, Akm, Uddin, Shahadat, Kamal, Ahm, Alyami, Salem A., Lin, Ping, Islam, Sheikh Mohammed Shariful, Quinn, Julian M. W., Eapen, Valsamma, Moni, Mohammad Ali

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Exploring transformer models in the sentiment analysis task for the under-resource Bengali language von Hoque, Md. Nesarul, Salma, Umme, Uddin, Md. Jamal, Ahamad, Md. Martuza, Aktar, Sakifa

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Deep transfer learning-based bird species classification using mel spectrogram images von Mrinal Kanti Baowaly, Bisnu Chandra Sarkar, Md Abul Ala Walid, Md Martuza Ahamad, Bikash Chandra Singh, Eduardo Silva Alvarado, Imran Ashraf, Md Abdus Samad

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Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data von Aktar, Sakifa, Md Martuza Ahamad, Rashed-Al-Mahfuz, Md, Azad, AKM, Uddin, Shahadat, Kamal, A H M, Alyami, Salem A, Ping-I, Lin, Sheikh Mohammed Shariful Islam, Quinn, Julian M W, Eapen, Valsamma, Mohammad Ali Moni

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Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19 von Aktar, Sakifa, Talukder, Ashis, Md Martuza Ahamad, Kamal, A H M, Jahidur Rahman Khan, Protikuzzaman, Md, Hossain, Nasif, Quinn, Julian M W, Summers, Mathew A, Liaw, Teng, Eapen, Valsamma, Mohammad Ali Moni

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Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity von Ahamad, Md Martuza, Aktar, Sakifa, Uddin, Md Jamal, Rashed-Al-Mahfuz, Md, Azad, AKM, Uddin, Shahadat, Alyami, Salem A, Sarker, Iqbal H, Khan, Asaduzzaman, Liò, Pietro, Quinn, Julian MW, Moni, Mohammad Ali

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Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity von Ahamad, Md Martuza, Aktar, Sakifa, Uddin, Md Jamal, Rashed-Al-Mahfuz, Md, Azad, AKM, Uddin, Shahadat, Alyami, Salem A, Sarker, Iqbal H, Khan, Asaduzzaman, Liò, Pietro, Quinn, Julian MW, Moni, Mohammad Ali

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