| 2021 | CIKM | AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. | Ermal Toto, M. L. Tlachac, Elke A. Rundensteiner |
| 2021 | ICMLA | Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews. | Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner |
| 2021 | ICMLA | EMU: Early Mental Health Uncovering Framework and Dataset. | M. L. Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke A. Rundensteiner |
| 2020 | ICMLA | Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. | M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner |
| 2020 | ICMLA | Audio-based Depression Screening using Sliding Window Sub-clip Pooling. | Ermal Toto, M. L. Tlachac, Francis Lee Stevens, Elke A. Rundensteiner |
| 2013 | AIED | Searching for Predictors of Learning Outcomes in Non Abstract Eye Movement Logs. | Janice D. Gobert, Ermal Toto, Michael Brigham, Michael Sao Pedro |
| 2011 | CogSci | The Science Assistments Project: Intelligent tutoring for scientific inquiry skills. | Janice D. Gobert, Michael Sao Pedro, Orlando Montalvo, Ermal Toto, Matthew Bachmann, Ryan S. Baker |
| 2010 | ITS | The Science Assistments Project: Scaffolding Scientific Inquiry Skills. | Janice D. Gobert, Orlando Montalvo, Ermal Toto, Michael Sao Pedro, Ryan Shaun Joazeiro de Baker |