| 2020 | SIGCSE | An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS. | Carla E. Brodley, Megan Barry, Aidan Connell, Catherine Gill, Ian Gorton, Benjamin Hescott, Bryan Lackaye, Cynthia LuBien, Leena Razzaq, Amit Shesh, Tiffani L. Williams, Andrea Pohoreckyj Danyluk |
| 2012 | ICML | Feature Selection via Probabilistic Outputs. | Andrea Pohoreckyj Danyluk, Nicholas Arnosti |
| 2010 | AAAI | Deep Transfer as Structure Learning in Markov Logic Networks. | David Andrew Moore, Andrea Pohoreckyj Danyluk |
| 2010 | SIGCSE | Introducing concurrency in CS 1. | Kim B. Bruce, Andrea Pohoreckyj Danyluk, Thomas P. Murtagh |
| 2005 | SIGCSE | Why structural recursion should be taught before arrays in CS 1. | Kim B. Bruce, Andrea Pohoreckyj Danyluk, Thomas P. Murtagh |
| 2004 | OOPSLA | Event-driven programming facilitates learning standard programming concepts. | Kim B. Bruce, Andrea Pohoreckyj Danyluk |
| 2001 | ITiCSE | Event-driven programming is simple enough for CS1. | Kim B. Bruce, Andrea Pohoreckyj Danyluk, Thomas P. Murtagh |
| 2001 | SIGCSE | A library to support a graphics-based object-first approach to CS 1. | Kim B. Bruce, Andrea Pohoreckyj Danyluk, Thomas P. Murtagh |
| 1993 | ICML | Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network. | Andrea Pohoreckyj Danyluk, Foster J. Provost |
| 1989 | ICML | Finding New Rules for Incomplete Theories: Explicit Biases for Induction with Contextual Information. | Andrea Pohoreckyj Danyluk |
| 1987 | IJCAI | The Use of Explanations for Similarity-based Learning. | Andrea Pohoreckyj Danyluk |