| 2021 | BMVC | Perception Visualization: Seeing Through The Eyes Of a DNN. | Loris Giulivi, Mark J. Carman, Giacomo Boracchi |
| 2019 | ICDAR | OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street Signs. | Rohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri, Mark J. Carman |
| 2019 | ICDAR | Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages. | Rohit Saluja, Mayur Punjabi, Mark J. Carman, Ganesh Ramakrishnan, Parag Chaudhuri |
| 2018 | ACML | Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. | Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine |
| 2018 | LREC | Sarcasm Target Identification: Dataset and An Introductory Approach. | Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark J. Carman |
| 2018 | PAKDD | Leveraging Label Category Relationships in Multi-class Crowdsourcing. | Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman |
| 2018 | TrustCom | Manipulating Visibility of Political and Apolitical Threads on Reddit via Score Boosting. | Mark J. Carman, Mark Koerber, Jiuyong Li, Kim-Kwang Raymond Choo, Helen Ashman |
| 2016 | SecureComm | Tinder Me Softly - How Safe Are You Really on Tinder? | Mark J. Carman, Kim-Kwang Raymond Choo |
| 2014 | AusDM | Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling. | Muhammad Ibrahim, Mark J. Carman |