1. Efficient and interpretable tabular learning via visual transformation

Amin Hajjari, Jamal Seyedmohammadi, Mohammad Taghi Sadeghi, Jamshid Abouei, Pai Chet Ng, Arash Mohammadi (2026), Ieee international conference on human-machine systems (ichms 2026), (No: 35380)

2. Optimal d2d resource allocation in heterogeneous cellular networks by decentralized multi-agent deep q-learning

Pouya Akhoundzadeh Asl, Ghasem Mirjalily, Mohammad Taghi Sadeghi (2024), 32 st international conference on electrical engineering, تهران (No: 31991)

3. Detection of defective products in injection molding process using yolo-nas

Mohammadreza Asadi, Seyedeh Sogand Hashemi, Mohammad Taghi Sadeghi (2023), 9th international conference on control, instrumentation and automation, تهران (No: 31013)

4. An autonomous multi agent q-learning approach for resource allocation in d2d-enabled heterogeneous networks

Pouya Akhoundzadeh Asl, Ghasem Mirjalily, Mohammad Taghi Sadeghi (2023), 31st international conference on electrical engineering (icee), تهران (No: 29408)

5. Deep learning based multi-classifier system for crack segmentation in civil structure images

Mohammadreza Asadi, Seyedeh Sogand Hashemi, Mohammad Taghi Sadeghi (2022), 12th international conference on computer and knowledge engineering (iccke), مشهد (No: 28041)

6. Injection molding inspection system based on machine vision

Mohammadreza Asadi, Seyedeh Sogand Hashemi, Mohammad Taghi Sadeghi (2021), The 9th international conference on robotics and mechatronics (icrom 2021), تهران (No: 26744)

7. A multi-classifier system for rock mass crack segmentation based on convolutional neural networks

Mohammadreza Asadi, Mohammad Taghi Sadeghi, Alireza Yarahmadi Bafghi (2021), 26th international computer conference, computer society of iran, تهران (No: 24805)

9. Deep feature selection using an enhanced sparse group lasso algorithm

Fatemeh Farokhmanesh, Mohammad Taghi Sadeghi (2019), 27th iranian conference on electrical engineering (icee2019), يزد (No: 22225)

14. A new binarization method for high accuracy handwritten digit recognition of slabs in steel companies

Sanaz Nasiri, Rassoul Amirfattahi, Mohammad Taghi Sadeghi, Sepehr Mortaheb (2017), 10th iranian conference on machine vision and image processing, اصفهان (No: 22303)

15. Image memorability prediction using deep features

, Mehdi Rezaeian, Mohammad Taghi Sadeghi (2017), 25th iranian conference on electrical engineering (icee2017), تهران (No: 16897)

17. Feature level and decision level fusion in kernel sparse representation based classifiers

, Mohammad Taghi Sadeghi (2016), 8th international symposium on telecommunications (ist 2016), تهران (No: 14809)