Daniel Acuña

Zeng, T., Acuna, DE, (2020) Dataset mention extraction in scientific articles using a BiLSTM-CRF model Chapter 11 in Julia I. Lane, Ian Mulvany, and Paco Nathan (Ed.), Rich Search and Discovery for Research Datasets: Building the next generation of scholarly infrastructure, New York

Zeng, T, Acuna, DE, (2019) Dead science: most resources linked in scientific articles disappear in eight years, iConference 2019 (to appear in Lecture Notes of Computer Science)
Taraz G. Lee, Acuna, DE, K. P., Grafton, S. T. (2019) Limiting motor skill knowledge via incidental training protects against choking under pressure, Psychonomic Bulletin & Review Link

Líenard, JF, Achakulvisut, T, Acuna, DE, David, SV, Intellectual Synthesis in Mentorship Determines Success in Academic Careers, Nature Communications, Link (press release in Nature Asia)
Teplitskiy, M, Acuna, DE, Elamrani-Raoult, A, Körding, K, Evans, J (2018) The sociology of scientific validity: How professional networks shape judgement in peer review, Research Policy Link
Acuna, DE, Brooks, P, Kording, P (2018) Bioscience-scale automated detection of figure element reuse (2018) BioArXiv, Link Preprint

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 Link

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