Md. Tanzim Reza

发表

Interpretable COVID-19 Classification Leveraging Ensemble Neural Network and XAI

Md Tanzim Reza, Shakib Mahmud Dipto, Irfana Afifa, 2021, BIOMESIP.

Explainable AI Based Glaucoma Detection Using Transfer Learning and LIME

Md. Golam Rabiul Alam, Tasnim Sakib Apon, Anita K. Islam, 2022, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).

Demystifying evidential Dempster Shafer-based CNN architecture for fetal plane detection from 2D ultrasound images leveraging fuzzy-contrast enhancement and explainable AI.

Md. Golam Rabiul Alam, Md. Zia Uddin, Gwanggil Jeon, 2023, Ultrasonics.

Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images

Md Tanzim Reza, Moinul Islam, M. Parvez, 2022, Neural Processing Letters.

Alzheimer's Disease Prediction Using Convolutional Neural Network Models Leveraging Pre-existing Architecture and Transfer Learning

Md. Ashraful Alam, Md Tanzim Reza, Mahjabeen Tamanna Abed, 2020, 2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR).

Interpretable Movie Review Analysis Using Machine Learning and Transformer Models Leveraging XAI

Md. Golam Rabiul Alam, F. Ahmed, Sajib Kumar Saha Joy, 2022, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).

A Comparative Study of Machine Learning Classifiers for Speaker’s Accent Recognition

Md. Golam Rabiul Alam, Hasibul Hasan Sabuj, Paul Richie Gomes, 2023, 2023 IEEE World AI IoT Congress (AIIoT).

Parkinson’s Disease Detection Using FMRI Images Leveraging Transfer Learning on Convolutional Neural Network

M. Parvez, Md. Tanzim Reza, Asaduzzaman Sajeeb, 2020, International Conference on Machine Learning and Computing.

Plant Leaf Disease Detection using Transfer Learning and Explainable AI

Md Tanzim Reza, Shafi Ahmed, Md Humaion Kabir Mehedi, 2022, 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

Aggregating Different Scales of Attention on Feature Variants for Tomato Leaf Disease Diagnosis from Image Data: A Transformer Driven Study

Yong Ju Jung, A. Chakrabarty, Md. Tanzim Reza, 2023, Sensors.

AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder

Shakib Mahmud Dipto, A. Huq, Md. Tanzim Reza, 2023, International Journal of Reconfigurable and Embedded Systems (IJRES).

A RNN Based Self-Learning Audio Generating Chatbot For French Language Learners

Md. Tanzim Reza, Rifat Sarker Aoyon, Yamin Ara, 2022, 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI).

A Comparison Based Analysis on the Performance of Deep Neural Network Models in Terms of Classifying Pneumonia from Chest X-ray Images

Md. Ashraful Alam, N. Akter, Md. Tanzim Reza, 2020, 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).

Analysis and 3D Representation of Visual Information from fMRI of Ventral Temporal Cortex Using Neural Network and Support Vector Machine

Iftekharul Mobin, Md. Ashraful Alam, Md Tanzim Reza, 2019, 2019 5th International Conference on Advances in Electrical Engineering (ICAEE).

Lossless Segmentation of Brain Tumors from MRI Images using 3D U-Net

Shakib Mahmud Dipto, S. N. Sakib, Md. Ashraful Alam, 2022, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).

Improving Non-Invasive Brain Tumor Categorization using Transformers on MRI Data

P. Barua, Subrata Chakraborty, Md. Tanzim Reza, 2023, 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

A Machine Learning Driven Analysis to Determine the Correlation Between Parenting Style and Offspring’s Behavior

N. Akter, M. Mostakim, Md. Tanzim Reza, 2023, 2023 IEEE World AI IoT Congress (AIIoT).

Demystifying Black-box Learning Models of Rumor Detection from Social Media Posts

Md. Golam Rabiul Alam, Faiza Tafannum, Md. Tanzim Reza, 2021, 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

An Efficient Deep Learning Approach for Detecting Lung Disease from Chest X-Ray Images Using Transfer Learning and Ensemble Modeling

Md. Ashraful Alam, Shakib Mahmud Dipto, Mostofa Kamal Sagor, 2021, 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).