| 2021 | SIGdial | How does BERT process disfluency? | Ye Tian, Tim Nieradzik, Sepehr Jalali, Da-Shan Shiu |
| 2019 | CVPR | M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications. | Tim Laibacher, Tillman Weyde, Sepehr Jalali |
| 2013 | CogSci | Visual Recognition using a Combination of Shape and Color Features. | Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor |
| 2013 | CogSci | Encoding Co-occurrence of Features in the HMAX Model. | Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor |
| 2013 | IJCNN | The use of optical and sonar images in the human and dolphin brain for image classification. | Sepehr Jalali, Paul J. Seekings, Cheston Tan, Aiswarya Ratheesh, Joo-Hwee Lim, Elizabeth A. Taylor |
| 2013 | IJCNN | Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach. | Sepehr Jalali, Paul J. Seekings, Cheston Tan, Hazel Z. W. Tan, Joo-Hwee Lim, Elizabeth A. Taylor |
| 2012 | IJCNN | Clustering and use of spatial and frequency information in a biologically inspired approach to image classification. | Sepehr Jalali, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong |
| 2010 | ICONIP | Dictionary of Features in a Biologically Inspired Approach to Image Classification. | Sepehr Jalali, Joo-Hwee Lim, Sim Heng Ong, Jo Yew Tham |