Kyle Ira Harrington

25 papers A 4B 2C 3Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest.
Frontiers Big Data
Kai Fan, Ranil Dhammapala, Kyle Ira Harrington, Brian Lamb, Yunha Lee
2022 J jnl
Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA.
Frontiers Big Data
Kai Fan, Ranil Dhammapala, Kyle Ira Harrington, Ryan Lamastro, Brian Lamb, Yunha Lee
2021 J jnl
Complex population dynamics in a spatial microbial ecosystem with
Biosyst.
Leo Epstein, Zeth Dubois, Jessica Smith, Yunha Lee, Kyle Ira Harrington
2019 J jnl
Escalation of Memory Length in Finite Populations.
Artif. Life
Kyle Ira Harrington, Jordan B. Pollack
2018 J jnl
Artificial Gene Regulatory Networks - A Review.
Artif. Life
Sylvain Cussat-Blanc, Kyle Ira Harrington, Wolfgang Banzhaf
2018 J jnl
Evolving Differentiable Gene Regulatory Networks.
CoRR
Dennis G. Wilson, Kyle Ira Harrington, Sylvain Cussat-Blanc, Hervé Luga
2018 J jnl
Neuromodulated Learning in Deep Neural Networks.
CoRR
Dennis G. Wilson, Sylvain Cussat-Blanc, Hervé Luga, Kyle Ira Harrington
2015 J jnl
Gene Regulatory Network Evolution Through Augmenting Topologies.
IEEE Trans. Evol. Comput.
Sylvain Cussat-Blanc, Kyle Ira Harrington, Jordan B. Pollack
2015 A conf
Genetically-regulated Neuromodulation Facilitates Multi-Task Reinforcement Learning.
GECCO
Sylvain Cussat-Blanc, Kyle Ira Harrington
2014 C conf
The Resistance of Swarm Ecosystem Under Environmental Variation.
ALIFE
Jessica Lowell, Kyle Ira Harrington, Jordan B. Pollack
2013 B conf
Robot coverage control by evolved neuromodulation.
IJCNN
Kyle Ira Harrington, Emmanuel Awa, Sylvain Cussat-Blanc, Jordan B. Pollack
2012 — conf
Autoconstructive evolution for structural problems.
GECCO (Companion)
Kyle Ira Harrington, Lee Spector, Jordan B. Pollack, Una-May O'Reilly
2012 A conf
Tag-based modularity in tree-based genetic programming.
GECCO
Lee Spector, Kyle Ira Harrington, Thomas Helmuth
2012 C conf
The Effects of Finite Populations and Selection on the Emergence of Signaling.
ALIFE
Kyle Ira Harrington, A. Pinar Ozisik, Jordan B. Pollack
2012 — conf
The effects of tags on the evolution of honest signaling.
GECCO (Companion)
A. Pinar Ozisik, Kyle Ira Harrington
2011 B conf
Communicated somatic markers benefit both the individual and the species.
IJCNN
Kyle Ira Harrington, Megan M. Olsen, Hava T. Siegelmann
2011 — conf
Fecundity and selectivity in evolutionary computation.
GECCO (Companion)
Lee Spector, Thomas Helmuth, Kyle Ira Harrington
2011 A conf
Tag-based modules in genetic programming.
GECCO
Lee Spector, Brian Martin, Kyle Ira Harrington, Thomas Helmuth
2010 J jnl
Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach.
Int. J. Nat. Comput. Res.
Megan M. Olsen, Kyle Ira Harrington, Hava T. Siegelmann
2010 C conf
En Route to Signal Inversion in Chemical Computing.
ALIFE
Michael Heymann, Kyle Ira Harrington, Jordan B. Pollack, Seth Fraden
2010 — conf
Robot phylogenetics.
GECCO (Companion)
Kyle Ira Harrington, Jordan B. Pollack
2008 — conf
Emotions for Strategic Real-Time Systems.
AAAI Spring Symposium: Emotion, Personality, and Social Behavior
Megan M. Olsen, Kyle Ira Harrington, Hava T. Siegelmann
2007 — conf
Predicting reactions from amino acid sequences in S. cerevisiae: an evolutionary computation approach.
GECCO (Companion)
Kyle Ira Harrington
2006 — conf
Adaptive Multi-modal Sensors.
50 Years of Artificial Intelligence
Kyle Ira Harrington, Hava T. Siegelmann
2005 A conf
Teaching the evolution of behavior with SuperDuperWalker.
AIED
Lee Spector, Jon Klein, Kyle Ira Harrington, Raymond Coppinger