October, 2015 - Lightning talk - Should we allow authors to suggest reviewers?, Quantifying Science, NetSci 2015 Satellite conference, Tempe, AZ
July, 2015 - Tools and software to accelerate science, Metaknowledge Network Summer Retreat, Asilomar, California
March, 2015 - Science of science, Metaknowledge Network Spring Retreat, University of Chicago
November, 2014 - Plenary talk - Big data science of science, Science Week 2014, Loyola University, Chicago
August 2014, Automatic detection of figure element reuse in biological science articles, Science of Team Science Conference, Austin, TX
May 2014, Big data machine learning for prediction and classification (invited academic speaker, plenary), The Tenth Workshop on the Development of Advanced Algorithms for Security Applications (ADSA10)
March 2013, An investigation of how prior beliefs influence decision-making under uncertainty in a 2AFC task, (plenary) COSYNE 2013
Publications
Shema, A, Acuna, DE (2017) Show Me Your App Usage and I Will Tell Who Your Close Friends Are: Predicting User’s Context from Simple Cellphone Activity, CHI 2017, Pages 2929-2935, Denver, Colorado
Achakulvisut T, Acuna DE, Ruangrong T, Kording K (2016) Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications. PLoS ONE 11(7): e0158423. doi:10.1371/journal.pone.0158423 Link
Ethier, C, Acuna, DE, Solla, S, Miller, L (2016)Adaptive neuron-to-EMG decoder training for FES neuroprostheses, Journal of Neural Engineering Link
Ramkumar P, Acuna DE, Berniker M, Grafton S, Turner RS, Körding KP (2016) Chunking as the result of an efficiency–computation tradeoff. Nature Communications Link
Acuna, DE, Berniker, M, Fernandes, H, Kording, K, (2015) Using psychophysics to ask if the brain samples or maximizes, Journal of Vision Link
Acuna, DE, Wymbs, Nicholas F., Reynolds, Chelsea A., Picard, Nathalie, Turner, Robert S., Strick, Peter L., Grafton, Scott T.,
Kording, Konrad P. (2014) Multi-faceted aspects of chunking enable robust algorithms, Journal of Neurophysiology, Link, code
Acuna, DE, Penner, Orion, Orton CG, (2013) The future h-index is an excellent way to predict scientists’ future impact, Med. Phys. 40, 110601 (Link)
Acuna, DE, Allesina, S., Kording, KP, (2012) Future impact: Predicting scientific success, Nature, Volume 489, Number 7415, 201-202
Avraham G, Nisky I, Fernandes HL, Acuna DE, Kording KP, Loeb GE, Karniel A, (2011) Towards Perceiving Robots as Humans – Three handshake models face the Turing-like Handshake Test, IEEE Transactions on Haptics
Acuna, DE, (2011) Rational Bayesian Analysis of Sequential Decision-Making Under Uncertainty In Humans and Machines, Ph.D. Thesis, University of Minnesota-Twin Cities
Acuna, DE & Schrater, P. (2010). Structure Learning in Human Sequential Decision-Making, PLoS Computational Biology 6(12): e1001003
Acuna, DE & Parada, V. (2010). People Efficiently Explore the Solution Space of the Computationally Intractable Traveling Salesman Problem to Find Near-Optimal Tours, PLoS ONE 5(7):e11685
Acuna, DE & Schrater, P. (2009). Improving Bayesian Reinforcement Learning using Transition Abstraction. ICML/UAI/CLT Workshop on Abstraction in Reinforcement Learning 2009
Acuna, DE & Schrater, P. (2009). Structure Learning in Human Sequential Decision-Making. NIPS 2009
Acuna, DE & Schrater, P. (2008). Bayesian Modeling of Human Sequential Decision-Making on the Multi-Armed Bandit Problem. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Washington, DC: Cognitive Science