Finding a "Kneedle" in a Haystack: Detecting Knee Points in System Behavior. - Ville Satopaa; Jeannie R. Albrecht; David E. Irwin 001; Barath Raghavan (ICDCS Workshops, 2011)

The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions. - Lyle H. Ungar; Barbara A. Mellers; Ville Satopää; Philip Tetlock; Jon Baron (AAAI Fall Symposium: Machine Aggregation of Human Judgment, 2012)

Simultaneous confidence intervals for comparing margins of multivariate binary data. - Bernhard Klingenberg; Ville Satopää (Comput. Stat. Data Anal., 2013)

Bias, Information, Noise: The BIN Model of Forecasting. - Ville A. Satopää; Marat Salikhov; Philip E. Tetlock; Barbara A. Mellers (Manag. Sci., 2021)

Regularized Aggregation of One-Off Probability Predictions. - Ville A. Satopää (Oper. Res., 2022)

Herding in Probabilistic Forecasts. - Yanwei Jia; Jussi Keppo; Ville A. Satopää (Manag. Sci., 2023)

Boosting the Wisdom of Crowds Within a Single Judgment Problem: Weighted Averaging Based on Peer Predictions. - Asa B. Palley; Ville A. Satopää (Manag. Sci., 2023)

Loyalty Currency and Mental Accounting: Do Consumers Treat Points Like Money? - Freddy Lim; So Yeon Chun; Ville A. Satopää (Manuf. Serv. Oper. Manag., 2024)