Fahim Irfan Alam

According to our database, Fahim Irfan Alam authored at least 15 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images.

Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan

Biomed. Signal Process. Control., 2022

2021

Deep Integrated Pipeline of Segmentation Leading to Classification for Automated Detection of Breast Cancer from Breast Ultrasound Images.

Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan

CoRR, 2021

Improved Sampling and Feature Selection to Support Extreme Gradient Boosting For PCOS Diagnosis.

Muhammad Sakib Khan Inan, Rubaiath E. Ulfath, Fahim Irfan Alam, Fateha Khanam Bappee, Rizwan Hasan

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

A Hybrid Probabilistic Ensemble based Extreme Gradient Boosting Approach For Breast Cancer Diagnosis.

Muhammad Sakib Khan Inan, Rizwan Hasan, Fahim Irfan Alam

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

2019

Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification.

Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao

IEEE Trans. Geosci. Remote. Sens., 2019

Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification.

Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018

Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification.

Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

2017

Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation.

Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao

CoRR, 2017

Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification.

Fahim Irfan Alam, Jun Zhou, Lei Tong, Alan Wee-Chung Liew, Yongsheng Gao

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

CRF learning with CNN features for hyperspectral image segmentation.

Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2014

Learning spatial relations for object-specific segmentation using Bayesian network model.

Iker Gondra, Fahim Irfan Alam

Signal Image Video Process., 2014

2013

A Prediction Model to Support a MultilayerNetwork-based Universal Electronic CashTransaction Framework.

Fahim Irfan Alam, Muhammad Iqbal Hasan Chowdhury, Md. Reza Rabbani

Smart Comput. Rev., 2013

2012

Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features.

Iker Gondra, Fahim Irfan Alam

Proceedings of the Computer Vision and Graphics - International Conference, 2012

Incorporating shape into spatially-aware adaptive object segmentation algorithm.

Fahim Irfan Alam, Iker Gondra

Proceedings of the Fifth International C* Conference on Computer Science & Software Engineering, 2012

2011

A Bayesian network-based tunable image segmentation algorithm for object recognition.

Fahim Irfan Alam, Iker Gondra

Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology, 2011