Interpretable MOOC dropout prediction using different Ensemble Methods and XAI

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiset tiedot
Päätekijät:	Khan, Labib Hasan, Haque, Mohammed Ashfaqul, Ibrahim, Esaba Ahnaf
Muut tekijät:	Mostakim, Moin
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	Machine learning Deep learning MOOC Dropout prediction Ensemble learning Explainable Artificial Intelligence (XAI) Web-based instruction. Teaching > Computer network resources. Education > Computer network resources.
Linkit:	http://hdl.handle.net/10361/19395

Samankaltaisia teoksia

MOOC mania: implications and collaboration for english language teachers
Tekijä: Miraj, Asek Amin, et al.
Julkaistu: (2018)

Explainable artificial intelligence and model calibration for water quality prediction
Tekijä: Hellen, Nakayiza
Julkaistu: (2022)

Bank loan prediction using machine learning
Tekijä: Mahottam, Parthosarothi, et al.
Julkaistu: (2023)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
Tekijä: Shawan, Naveed Rahman, et al.
Julkaistu: (2019)

Heart attack prediction using machine learning and XAI
Tekijä: Ahsan, Mumtahina
Julkaistu: (2023)

Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
Tekijä: Islam, Md. Farhadul, et al.
Julkaistu: (2024)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
Tekijä: Rahman, Masroor, et al.
Julkaistu: (2023)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
Tekijä: Ifty, Md. Hasin Sarwar, et al.
Julkaistu: (2024)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
Tekijä: Rahman, Tahsinur, et al.
Julkaistu: (2023)

A deep learning approach for prediction of ADHD using brain structure
Tekijä: Siam, Shafin Ahad, et al.
Julkaistu: (2024)

Analysis of uncertainty in different neural network structures using monte carlo dropout
Tekijä: Islam, Md. Farhadul, et al.
Julkaistu: (2024)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
Tekijä: Tasnim, Anika, et al.
Julkaistu: (2022)

Medical image reader powered by artificial intelligence
Tekijä: Palok, Tanvir Ahmed, et al.
Julkaistu: (2024)

A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning
Tekijä: Anjum, Afra Antara, et al.
Julkaistu: (2022)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
Tekijä: Athina, Fahima Hasan, et al.
Julkaistu: (2022)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
Tekijä: Mubin, Kazi Ehsanul, et al.
Julkaistu: (2022)

Exploring Alzheimer's disease prediction with XAI in various neural network models
Tekijä: Rahman, Quazi Ashikur, et al.
Julkaistu: (2022)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
Tekijä: Radiah, Faiza, et al.
Julkaistu: (2024)

Demystifying machine learning models for IOT attack detection with explainable AI
Tekijä: Muna, Rabeya Khatun, et al.
Julkaistu: (2021)

X-Ray classification to detect COVID-19 using ensemble model
Tekijä: Solaiman, Ishmam Ahmed, et al.
Julkaistu: (2021)

Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
Tekijä: Hassan, Ibne, et al.
Julkaistu: (2023)

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
Tekijä: Marvin, Ggaliwango
Julkaistu: (2022)

Flood prediction using ensemble machine learning models
Tekijä: Rahman, Tanvir
Julkaistu: (2024)

Beyond dropout: A study on BRAC Primary School
Tekijä: Khan, Ashrafuzzaman, et al.
Julkaistu: (2022)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
Tekijä: Shakil, Mahmudul Hasan
Julkaistu: (2023)

Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques
Tekijä: Rafidul Islam, Sheikh Md, et al.
Julkaistu: (2022)

How pandemic causes thousands of school dropouts
Tekijä: Jasim, Mir Mohammad
Julkaistu: (2022)

Empowering mobile network planning through deep learning: a path to democratization
Tekijä: Nabi, Syed Tauhidun
Julkaistu: (2024)

A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
Tekijä: Islam, Md Rashidul
Julkaistu: (2024)

Federated ensemble-learning for transport mode detection in vehicular edge network
Tekijä: Alam, MD. Mustakin, et al.
Julkaistu: (2023)

Personalization in federated recommendation system using SVD++ with explainability
Tekijä: Patwary, Kabbya Kantam, et al.
Julkaistu: (2022)

Why students dropout in the first six months of enrollment: a comprehensive study on the BRAC’s education programme
Tekijä: Khan, Md. Kaisar Ali, et al.
Julkaistu: (2019)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
Tekijä: Hossain, Shah Md. Shakhawath, et al.
Julkaistu: (2024)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
Tekijä: Ghose, Swattic, et al.
Julkaistu: (2023)

Demystifying black-box learning models of rumor detection from social media posts
Tekijä: Tafannum, Faiza, et al.
Julkaistu: (2021)

An interpretable deep learning approach to detect Alzheimer using MRI images
Tekijä: Oni, Farhan Anzum, et al.
Julkaistu: (2023)

Predicting depression in Bangladeshi undergraduates using machine learning
Tekijä: Choudhury, Ahnaf Atef, et al.
Julkaistu: (2019)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
Tekijä: Bhuiyan, Abir Ahammed, et al.
Julkaistu: (2024)

Machine learning as an indicator for breast cancer prediction
Tekijä: Shadman, Tahsin Mohammed, et al.
Julkaistu: (2019)

A note on reasons of dropout from BRAC's matlab village organizations
Tekijä: HASSAN, GAZI MAHMUD, et al.
Julkaistu: (2019)