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• Article

  Learning about the "real world" in an urban arts youth program

  Larson, R. W. & Walker, K. C., May 2006, In: Journal of Adolescent Research. 21, 3, p. 244-268 25 p.

  Research output: Contribution to journal › Article › peer-review

• Learning about what others were doing: Verb aspect and attributions of mundane and criminal intent for past actions

  Hart, W. & Albarracín, D., Feb 2011, In: Psychological Science. 22, 2, p. 261-266 6 p.

  Research output: Contribution to journal › Article › peer-review

• Learning abstract relations from using categories

  Ross, B. H. & Warren, J. L., Jul 2002, In: Memory and Cognition. 30, 5, p. 657-665 9 p.

  Research output: Contribution to journal › Article › peer-review

• Learning a maximum margin subspace for image retrieval

  He, X., Cai, D. & Han, J., Feb 2008, In: IEEE Transactions on Knowledge and Data Engineering. 20, 2, p. 189-201 13 p.

  Research output: Contribution to journal › Article › peer-review

• Learning and behavior in hatchling Trachemys scripta exposed to bisphenol-a during embryonic development.

  Dillard, J., Carter, A. W., Ower, G. D., Paitz, R. T. & Bowden, R. M., Oct 1 2019, In: Physiology & behavior. 209, p. 112614 112614.

  Research output: Contribution to journal › Article › peer-review

• Learning and coordination in the presidential primary system

  Deltas, G., Herrera, H. & Polborn, M. K., Oct 1 2016, In: Review of Economic Studies. 83, 4, p. 1544-1578 35 p., rdv055.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Learning and critiquing pairwise activity relationships for schedule quality control via deep learning-based natural language processing

  Amer, F., Hockenmaier, J. & Golparvar-Fard, M., Feb 2022, In: Automation in Construction. 134, 104036.

  Research output: Contribution to journal › Article › peer-review

• Learning and Feature Selection in Stereo Matching

  Lew, M. S., Huang, T. S. & Wong, K., Sep 1994, In: IEEE transactions on pattern analysis and machine intelligence. 16, 9, p. 869-881 13 p.

  Research output: Contribution to journal › Article › peer-review

• Learning and instruction in pre-college physical science

  Mestre, J., Sep 1991, In: Physics Today. 44, 9, p. 56-62 7 p.

  Research output: Contribution to journal › Article › peer-review

• Learning and Labor in Architecture: A Pavillion for Virginia Park

  Poss, J. S., 1995, In: Reflections 10: The Journal of the School of Architecture at the University of Illinois at Urbana-Champaign. 10

  Research output: Contribution to journal › Article › peer-review

• Learning and memory in rats gestationally and lactationally exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)

  Seo, B. W., Sparks, A. J., Medora, K., Amin, S. & Schantz, S. L., May 1999, In: Neurotoxicology and Teratology. 21, 3, p. 231-239 9 p.

  Research output: Contribution to journal › Article › peer-review

• Learning and planning for time-varying MDPs using maximum likelihood estimation

  Ornik, M. & Topcu, U., 2021, In: Journal of Machine Learning Research. 22

  Research output: Contribution to journal › Article › peer-review

• Learning and task interference by corpse-removal specialists in honey bee colonies

  Trumbo, S. T. & Robinson, G. E., Nov 1997, In: Ethology. 103, 11, p. 966-975 10 p.

  Research output: Contribution to journal › Article › peer-review

• Learning and transfer: Instructional conditions and conceptual change

  Perry, M., 1991, In: Cognitive Development. 6, 4, p. 449-468 20 p.

  Research output: Contribution to journal › Article › peer-review

• Learning and transfer: A general role for analogical encoding

  Gentner, D., Loewenstein, J. & Thompson, L., Jun 2003, In: Journal of Educational Psychology. 95, 2, p. 393-408 16 p.

  Research output: Contribution to journal › Article › peer-review

• Learning and Transfer Effects of Embodied Simulations Targeting Crosscutting Concepts in Science

  Lindgren, R., Morphew, J. W., Kang, J., Planey, J. & Mestre, J. P., Oct 25 2021, In: Journal of Educational Psychology. 114, 3, p. 462-481 20 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Learning and unlearning spatial relationships during navigation

  Wang, R. F., 2003, In: Journal of vision. 3, 9, p. 553a

  Research output: Contribution to journal › Article › peer-review

• Learning a second language takes more than math

  Montrul, S. A., Nov 26 2018, In: Linguistic Approaches to Bilingualism. 8, 6, p. 749-752 4 p.

  Research output: Contribution to journal › Article › peer-review

• Learning aspiration in repeated games

  Cho, I. K. & Matsui, A., Oct 2005, In: Journal of Economic Theory. 124, 2, p. 171-201 31 p.

  Research output: Contribution to journal › Article › peer-review

• Learning at the bottom of the pyramid: Constraints, comparability and policy in developing countries

  Wagner, D. A. & Castillo, N. M., Dec 11 2014, In: Prospects. 44, 4, p. 627-638 12 p.

  Research output: Contribution to journal › Article › peer-review

• Learning-Based Cancer Treatment Outcome Prognosis Using Multimodal Biomarkers

  Saad, M., He, S., Thorstad, W., Gay, H., Barnett, D., Zhao, Y., Ruan, S., Wang, X. & Li, H., Feb 1 2022, In: IEEE Transactions on Radiation and Plasma Medical Sciences. 6, 2, p. 231-244 14 p.

  Research output: Contribution to journal › Article › peer-review

• Learning-based game theoretical framework for modeling pedestrian motion

  Rahmati, Y. & Talebpour, A., Sep 28 2018, In: Physical Review E. 98, 3, 032312.

  Research output: Contribution to journal › Article › peer-review

• Learning-based nonparametric image super-resolution

  Rajaram, S., Gupta, M. D., Petrovic, N. & Huang, T. S., 2006, In: Eurasip Journal on Applied Signal Processing. 2006, p. 1-11 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Learning-based precool algorithms for exploiting foodstuff as thermal energy reserve

  Vinther, K., Rasmussen, H., Izadi-Zamanabadi, R., Stoustrup, J. & Alleyne, A. G., Mar 1 2015, In: IEEE Transactions on Control Systems Technology. 23, 2, p. 557-569 13 p., 6844010.

  Research output: Contribution to journal › Article › peer-review

• Learning-Based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems

  Ganesh, P., Lou, X., Chen, Y., Tan, R., Yau, D. K. Y., Chen, D. & Winslett, M., Jul 2021, In: IEEE Transactions on Smart Grid. 12, 4, p. 3581-3593 13 p., 9352977.

  Research output: Contribution to journal › Article › peer-review

• Learning-based stochastic object models for characterizing anatomical variations

  Dolly, S. R., Lou, Y., Anastasio, M. A. & Li, H., Mar 14 2018, In: Physics in medicine and biology. 63, 6, 065004.

  Research output: Contribution to journal › Article › peer-review

• Learning bidding strategies with autonomous agents in environments with unstable equilibrium

  Sikora, R. T. & Sachdev, V., Dec 2008, In: Decision Support Systems. 46, 1, p. 101-114 14 p.

  Research output: Contribution to journal › Article › peer-review

• Learning by association? Interorganizational networks and adaptation to environmental change

  Kraatz, M. S., Dec 1998, In: Academy of Management Journal. 41, 6, p. 621-643 23 p.

  Research output: Contribution to journal › Article › peer-review

• Learning by Design: Creating pedagogical frameworks for knowledge building in the twenty-first century

  Yelland, N., Cope, B. & Kalantzis, M., 2008, In: Asia-Pacific Journal of Teacher Education. 36, 3, p. 197-213 17 p.

  Research output: Contribution to journal › Article › peer-review

• Learning-by-Using and the Switch to Better Machines

  Parente, S. L., Oct 2000, In: Review of Economic Dynamics. 3, 4, p. 675-703 29 p.

  Research output: Contribution to journal › Article › peer-review

• Learning categories by making predictions: An investigation of indirect category learning

  Minda, J. P. & Ross, B. H., Dec 2004, In: Memory and Cognition. 32, 8, p. 1355-1368 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Learning Characteristics of Transpose-Form LMS Adaptive Filters

  Jones, D. L., Oct 1992, In: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing. 39, 10, p. 745-749 5 p.

  Research output: Contribution to journal › Article › peer-review

• Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients

  Yan, C., Chen, Y., Li, B., Liebovitz, D. & Malin, B., 2016, In: AMIA Annual Symposium Proceedings. 2016, p. 1248-1257 10 p.

  Research output: Contribution to journal › Article › peer-review

• Learning Coagulation Processes With Combinatorial Neural Networks

  Wang, J. L., Curtis, J. H., Riemer, N. & West, M., Dec 2022, In: Journal of Advances in Modeling Earth Systems. 14, 12, e2022MS003252.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Learning Coarse-Grained Potentials for Binary Fluids

  Gao, P., Yang, X. & Tartakovsky, A. M., Aug 24 2020, In: Journal of Chemical Information and Modeling. 60, 8, p. 3731-3745 15 p.

  Research output: Contribution to journal › Article › peer-review

• Learning combinatorial map information from permutations of landmarks

  Tovar, B., Freda, L. & Lavalle, S. M., Aug 2011, In: International Journal of Robotics Research. 30, 9, p. 1143-1156 14 p.

  Research output: Contribution to journal › Article › peer-review

• Learning Concepts from Definitions

  Anderson, R. C. & Kulhavy, R. W., Jan 1 1972, In: American Educational Research Journal. 9, 3, p. 385-390

  Research output: Contribution to journal › Article › peer-review

• Learning Conjunctions of Horn Clauses

  Angluin, D., Frazier, M. & Pitt, L., Jul 1992, In: Machine Learning. 9, 2, p. 147-164 18 p.

  Research output: Contribution to journal › Article › peer-review

• Learning Contraction Policies from Offline Data

  Rezazadeh, N., Kolarich, M., Kia, S. S. & Mehr, N., Apr 1 2022, In: IEEE Robotics and Automation Letters. 7, 2, p. 2905-2912 8 p.

  Research output: Contribution to journal › Article › peer-review

• Learning control of an electro-hydraulic Injection Molding Machine with smoothed fill-to-pack transition

  Zheng, D. & Alleyne, A., 2000, In: Proceedings of the American Control Conference. 4, p. 2558-2562 5 p.

  Research output: Contribution to journal › Article › peer-review

• Learning cost-sensitive active classifiers

  Greiner, R., Grove, A. J. & Roth, D., Aug 2002, In: Artificial Intelligence. 139, 2, p. 137-174 38 p.

  Research output: Contribution to journal › Article › peer-review

• Learning datives: The Tolerance Principle in monolingual and bilingual acquisition

  Yang, C. & Montrul, S., Jan 1 2017, In: Second Language Research. 33, 1, p. 119-144 26 p.

  Research output: Contribution to journal › Article › peer-review

• Learning deeply in science: An analysis and reintegration of deep approaches in two case studies of grade 8 students

  Chin, C. & Brown, D. E., 2000, In: Research in Science Education. 30, 2, p. 173-197 25 p.

  Research output: Contribution to journal › Article › peer-review

• Learning dictionary on manifolds for image classification

  Liu, B. D., Wang, Y. X., Zhang, Y. J. & Shen, B., Jul 2013, In: Pattern Recognition. 46, 7, p. 1879-1890 12 p.

  Research output: Contribution to journal › Article › peer-review

• Learning discriminative collections of part detectors for object recognition

  Shih, K. J., Endres, I. & Hoiem, D., Aug 1 2015, In: IEEE transactions on pattern analysis and machine intelligence. 37, 8, p. 1571-1584 14 p., 2366122.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Learning doubly sparse transforms for images

  Ravishankar, S. & Bresler, Y., 2013, In: IEEE Transactions on Image Processing. 22, 12, p. 4598-4612 15 p., 6566099.

  Research output: Contribution to journal › Article › peer-review

• Learning dynamics and endogenous currency crises

  Cho, I. K. & Kasa, K., Apr 2008, In: Macroeconomic Dynamics. 12, 2, p. 257-285 29 p.

  Research output: Contribution to journal › Article › peer-review

• Learning Economic Parameters from Revealed Preferences

  Balcan, M. F., Urner, R., Daniely, A., Mehta, R. & Vazirani, V. V., 2014, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8877, p. 338-353 16 p.

  Research output: Contribution to journal › Article › peer-review

• Learning Emotional Understanding and Emotion Regulation Through Sibling Interaction

  Kramer, L., Feb 2014, In: Early Education and Development. 25, 2, p. 160-184 25 p.

  Research output: Contribution to journal › Article › peer-review

• Learning-enhanced adaptive DSS: A Design Science perspective

  Piramuthu, S. & Shaw, M. J., 2009, In: Information Technology and Management. 10, 1, p. 41-54 14 p.

  Research output: Contribution to journal › Article › peer-review