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2022 Conference Publication SATLabel: a framework for sentiment and aspect terms based automatic topic labellingShahriar, Khandaker Tayef, Moni, Mohammad Ali, Hoque, Mohammed Moshiul, Islam, Muhammad Nazrul and Sarker, Iqbal H. (2022). SATLabel: a framework for sentiment and aspect terms based automatic topic labelling. Machine Intelligence and Data Science Applications, Cumilla, Bangladesh, 26-27 December 2021. Gateway East, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-19-2347-0_6 |
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2022 Conference Publication Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney diseaseMahbub, Nosin Ibna, Hasan, Md. Imran, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2022). Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney disease. International Conference on Innovations in Science, Engineering and Technology (ICISET), Chittagong, Bangladesh, 26-27 February 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICISET54810.2022.9775827 |
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2021 Conference Publication Improved transfer learning architecture to classify Covid-19 affected chest X-rays using noisy student pre-trainingFahim, Md Asif Iqbal, Naznin, Feroza, Moni, Mohammad Ali and Islam, Md Zahidul (2021). Improved transfer learning architecture to classify Covid-19 affected chest X-rays using noisy student pre-training. 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Kitakyushu, Japan, 16-20 August 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICIEVICIVPR52578.2021.9564125 |
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2021 Conference Publication Lung cancer prediction using curriculum learning based deep neural networksZhou, Jackson, Khushi, Matloob, Moni, Mohammad Ali, Uddin, Shahadat and Poon, Simon K. (2021). Lung cancer prediction using curriculum learning based deep neural networks. 2021 IEEE International Conference on Digital Health (ICDH), Chicago, IL USA, 5-10 September 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDH52753.2021.00013 |
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2021 Conference Publication Movie genre classification with deep neural network using poster imagesHossain, Nayeem, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2021). Movie genre classification with deep neural network using poster images. 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 27-28 February 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICICT4SD50815.2021.9396778 |
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2021 Conference Publication Improved machine learning based classification model for early autism detectionAkter, Tania, Khan, Md. Imran, Ali, Mohammad Hanif, Satu, Md. Shahriare, Uddin, Md. Jamal and Moni, Mohammad Ali (2021). Improved machine learning based classification model for early autism detection. 2nd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2021, Dhaka, Bangladesh, 5-7 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST51555.2021.9331013 |
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2021 Conference Publication Machine learning model to predict autism investigating eye-tracking datasetAkter, Tania, Ali, Mohammad Hanif, Khan, Md. Imran, Satu, Md. Shahriare and Moni, Mohammad Ali (2021). Machine learning model to predict autism investigating eye-tracking dataset. 2nd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2021, Dhaka, Bangladesh, 5-7 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST51555.2021.9331152 |
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2021 Conference Publication The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rateUddin, Shahadat, Imam, Tasadduq and Ali Moni, Mohammad (2021). The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate. 2021 Australasian Computer Science Week Multiconference, Dunedin, New Zealand, 1-5 February 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3437378.3437384 |
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2021 Conference Publication COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for childrenSatu, Md. Shahriare, Mizan, K. Shayekh Ebne, Jerin, Syeda Anika, Whaiduzzaman, Md, Barros, Alistair, Ahmed, Kawsar and Moni, Mohammad Ali (2021). COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children. First International Conference on Applied Intelligence and Informatics, AII 2021, Online, 30-31 July 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-82269-9_25 |
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2021 Conference Publication Survival prediction for prostate cancer using machine learning and bioinformatics modelsChowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul and Moni, Mohammad Ali (2021). Survival prediction for prostate cancer using machine learning and bioinformatics models. 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IC4ME253898.2021.9768443 |
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2021 Conference Publication Machine learning and bioinformatics models to identify gene expression patterns of glioblastoma associated with disease progression and mortalityChoudhury, Zakia Zinat, Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Machine learning and bioinformatics models to identify gene expression patterns of glioblastoma associated with disease progression and mortality. International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME253898.2021.9768525 |
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2020 Conference Publication Drug compound prediction-based analysis of cigarette smoking to Pancreatic Cancer patients: a bioinformatics studyTaz, Tasnimul Alam, Kawsar, Md, Siddique, Sinthia, Ahmed, Kawsar, Moni, Mohammad Ali and Paul, Bikash Kumar (2020). Drug compound prediction-based analysis of cigarette smoking to Pancreatic Cancer patients: a bioinformatics study. IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Bhubaneswar, India, 26-27 December 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WIECON-ECE52138.2020.9397979 |
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2020 Conference Publication Bioinformatics approach to analyze gene expression profile and comorbidities of gastric cancerDatta, Ratri, Podder, Nitun Kumar, Rana, Humayan Kabir, Islam, Md Khaled Ben and Moni, Mohammad Ali (2020). Bioinformatics approach to analyze gene expression profile and comorbidities of gastric cancer. 2020 23rd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 19-21 December 2020. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCIT51783.2020.9392587 |
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2020 Conference Publication Identifying the stability of couple relationship applying different machine learning techniquesSatu, Md. Shahriare, Howlader, K. C., Hosen, Md Parvej, Chowdhury, Noton and Moni, Mohammad Ali (2020). Identifying the stability of couple relationship applying different machine learning techniques. 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 17-19 December 2020. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICECE51571.2020.9393131 |
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2019 Conference Publication Comorbidity effects of mitochondrial dysfunction to the progression of neurological disorders: Insights from a systems biomedicine perspectiveSatu, Md. Shahriare, Chandra Howlader, Koushik, Niamat Ullah Akhund, Tajim Md., Quinn, Julian M.W., Lio, Pietro and Moni, Mohammad Ali (2019). Comorbidity effects of mitochondrial dysfunction to the progression of neurological disorders: Insights from a systems biomedicine perspective. 2019 22nd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 18-20 December 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCIT48885.2019.9038388 |
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2019 Conference Publication A Bayesian optimization framework for the prediction of diabetes mellitusRahman, Md. Abdur, Shoaib, S. M., Amin, Md. Al, Toma, Rafia Nishat, Moni, Mohammad Ali and Awal, Md. Abdul (2019). A Bayesian optimization framework for the prediction of diabetes mellitus. 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 26-28 September 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICAEE48663.2019.8975480 |
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2019 Conference Publication Identification of genetic association of thyroid cancer with Parkinsons disease, osteoporosis, chronic heart failure, chronic kidney disease, type 1 diabetes and type 2 diabetesHossain, Md. Ali, Asa, Tania Akter, Saiful Islam, Sheikh Muhammad, Hussain, Muhammad Sajjad and Moni, Mohammad Ali (2019). Identification of genetic association of thyroid cancer with Parkinsons disease, osteoporosis, chronic heart failure, chronic kidney disease, type 1 diabetes and type 2 diabetes. 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 26 - 28 September 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICAEE48663.2019.8975560 |
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2019 Conference Publication Delineating Common Cell Pathways that Influence Type 2 Diabetes and Neurodegenerative Diseases using a Network-based ApproachChowdhury, Utpala Nanda, Hasan, Md. Al Mehedi, Ahmad, Shamim, Islam, M. Babul, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Delineating Common Cell Pathways that Influence Type 2 Diabetes and Neurodegenerative Diseases using a Network-based Approach. 5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2019, Rajshahi, Bangladesh, 11-12 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME247184.2019.9036525 |
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2019 Conference Publication SVM model for feature selection to increase accuracy and reduce false positive rate in falls detectionRashed-Al-Mahfuz, Md, Hoque, Md. Robiul, Pramanik, Bimal Kumar, Hamid, Md. Ekramul and Moni, Mohammad Ali (2019). SVM model for feature selection to increase accuracy and reduce false positive rate in falls detection. 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 11 - 12 July 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME247184.2019.9036529 |
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2019 Conference Publication Network-based quantitative frameworks to identify pleotropic factors that influence for cardiomyopathy progressionHaidar, Md. Nasim, Islam, M. Babul, Chowdhury, Utpala Nanda, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Network-based quantitative frameworks to identify pleotropic factors that influence for cardiomyopathy progression. 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 11-12 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME247184.2019.9036486 |
