Publications :

Vogel, D., Asparouhov, O., Scheffer, T. Scalable Look-Ahead Linear Regression Trees. Proceedings of the 2007 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (In Press). (San Jose, CA, August, 2007)

Strackeljan, J., Jonscher, R., Prieur, S., Vogel, D., Deselaers, T., Keysers, D., Mauser, A., Bezrukov, I., Hegerath, A. (2006). GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies. In From Data and Information Analysis to Knowledge Engineering (748-758). Germany: Springer Berlin Heidelberg.

Vogel, J., Vogel, D., Cannon-Bowers, J., Bowers, C., Muse, K., Wright, M. (2006). Computer Gaming and Interactive Simulations for Learning: A Meta-Analysis. Journal of Educational Computing Research, 34 (3): 229-243.

Vogel, D., Bickel, S., Haider, P., Schimpfky, R., Siemen, P., Bridges, S., Scheffer, T. (2005). Classifying Search Engine Queries Using the Web as Background Knowledge. SIGKDD Explorations, 7 (2), 117-122.

Vogel, D. Gottshalk, E., & Wang, M. (2004). Anti-matter detection: Particle Physics Model for KDD Cup 2004. SIGKDD Explorations, 6 (2), 109-112.

Vogel, D., Gottshalk, E., & Wang, M. (2004). Protein Matching With Custom Neural Network Objective Functions. SIGKDD Explorations, 6 (2), 125-127.

Vogel, D. & Wang, M. 1-Dimensional Splines as Building Blocks for Improving Accuracy of Risk Outcomes Models. Proceedings of the 2004 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 841-846. (Seattle, WA, August, 2004)

Axelrod, R. & Vogel, D. (2003). Predictive Modeling in Health Plans. Disease Management and Health Outcomes, 11 (12): 779-787.

Vogel, J., Bowers, C., & Vogel, D. (2003). Cerebral lateralization of spatial abilities: A meta-analysis. Brain and Cognition, 52, 197-204.

Vogel, D. & Axelrod, R. (2002). Predicting the Effects of Gene Deletion. SIGKDD Explorations, 4 (2), 101-104.

On-going Research

· Spline-based Gradient Boosting
· Interaction Detection
· Collaborative Filtering