Seyed Amin Khatami

According to our database, Seyed Amin Khatami authored at least 25 papers between 2013 and 2022.

Collaborative distances:

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

2022

Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns.

Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2020

A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging.

Amin Khatami, Asef Nazari, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi

Expert Syst. Appl., 2020

Convolutional Neural Network for Medical Image Classification using Wavelet Features.

Amin Khatami, Asef Nazari, Amin Beheshti, Thanh Thi Nguyen, Saeid Nahavandi, Jerzy Zieba

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks.

Amin Khatami, Parham M. Kebria, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Asef Nazari, Marjan Shamszadeh, Thanh Nguyen, Saeid Nahavandi

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval.

Amin Khatami, Morteza Babaie, Hamid R. Tizhoosh, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi

Expert Syst. Appl., 2018

Parallel deep solutions for image retrieval from imbalanced medical imaging archives.

Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Saeid Nahavandi

Appl. Soft Comput., 2018

Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System.

Thanh Nguyen, Imali Hettiarachchi, Amin Khatami, Lee Gordon-Brown, Chee Peng Lim, Saeid Nahavandi

IEEE Access, 2018

A Soft Computing Fusion for River Flow Time Series Forecasting.

Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi, Syed Moshfeq Salaken, Amin Khatami

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

A new PSO-based approach to fire flame detection using K-Medoids clustering.

Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi

Expert Syst. Appl., 2017

Medical image analysis using wavelet transform and deep belief networks.

Amin Khatami, Abbas Khosravi, Thanh Nguyen, Chee Peng Lim, Saeid Nahavandi

Expert Syst. Appl., 2017

Local radon descriptors for image search.

Morteza Babaie, Hamid R. Tizhoosh, Amin Khatami, Mohammad Ebrahim Shiri

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment.

Amin Khatami, Yonghang Tai, Abbas Khosravi, Lei Wei, Mohsen Moradi Dalvand, Min Zou, Saeid Nahavandi

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data.

Amin Khatami, Yonghang Tai, Abbas Khosravi, Lei Wei, Mohsen Moradi Dalvand, Jun Peng, Saeid Nahavandi

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features.

Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Classification and Retrieval of Digital Pathology Scans: A New Dataset.

Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Lung cancer classification using deep learned features on low population dataset.

Syed Moshfeq Salaken, Abbas Khosravi, Amin Khatami, Saeid Nahavandi, Mohammad Anwar Hosen

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

A deep-structural medical image classification for a Radon-based image retrieval.

Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Syed Moshfeq Salaken, Saeid Nahavandi

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016

From rational Gödel logic to ultrametric logic.

Seyed Amin Khatami, Massoud Pourmahdian, Nazanin Roshandel Tavana

J. Log. Comput., 2016

A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity.

Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Chee Peng Lim, Amin Khatami, Abbas Khosravi, Saeid Nahavandi

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Wavelet Deep Belief Network-Based Classifier for Medical Images.

Amin Khatami, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

A New Color Space Based on K-Medoids Clustering for Fire Detection.

Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Saeid Nahavandi

Proceedings of the 2015 IEEE International Conference on Systems, 2015

An efficient hybrid algorithm for fire flame detection.

Seyed Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Saeid Nahavandi

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data.

Esmaeel Eftekharian, Seyed Amin Khatami, Abbas Khosravi, Saeid Nahavandi

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2013

Artificial Neural Network Analysis of Twin Tunnelling-Induced Ground Settlements.

Seyed Amin Khatami, Alireza Mirhabibi, Abbas Khosravi, Saeid Nahavandi

Proceedings of the IEEE International Conference on Systems, 2013

A New Approach Based on Support Vector Machine for Solving Stochastic Optimization.

Seyed Amin Khatami, Abbas Khosravi, Saeid Nahavandi

Proceedings of the IEEE International Conference on Systems, 2013