| Rapid learning in a children's museum via analogical comparison D Gentner, SC Levine, R Ping, A Isaia, S Dhillon, C Bradley, G Honke Cognitive science 40 (1), 224-240, 2016 | 125 | 2016 |
| Translation between molecules and natural language C Edwards, T Lai, K Ros, G Honke, K Cho, H Ji arXiv preprint arXiv:2204.11817, 2022 | 56 | 2022 |
| Sorting out the problem of inert knowledge: Category construction to promote spontaneous transfer. KJ Kurtz, G Honke Journal of Experimental Psychology: Learning, Memory, and Cognition 46 (5), 803, 2020 | 26 | 2020 |
| Similarity is as similarity does? A critical inquiry into the effect of thematic association on similarity G Honke, KJ Kurtz Cognition 186, 115-138, 2019 | 14 | 2019 |
| Using deep networks and transfer learning to address disinformation N Dhamani, P Azunre, JL Gleason, C Corcoran, G Honke, S Kramer, ... arXiv preprint arXiv:1905.10412, 2019 | 11 | 2019 |
| Representation learning for improved interpretability and classification accuracy of clinical factors from EEG G Honke, I Higgins, N Thigpen, V Miskovic, K Link, S Duan, P Gupta, ... arXiv preprint arXiv:2010.15274, 2020 | 8 | 2020 |
| Semantic classification of tabular datasets via character-level convolutional neural networks P Azunre, C Corcoran, N Dhamani, J Gleason, G Honke, D Sullivan, ... arXiv preprint arXiv:1901.08456, 2019 | 7 | 2019 |
| Categories in conflict: Combating the application of an intuitive conception of inheritance with category construction J Premo, A Cavagnetto, G Honke, KJ Kurtz Journal of Research in Science Teaching 56 (1), 24-44, 2019 | 5 | 2019 |
| Using convolutional variational autoencoders to predict post-trauma health outcomes from actigraphy data AS Cakmak, N Thigpen, G Honke, EP Alday, AB Rad, R Adaimi, ... arXiv preprint arXiv:2011.07406, 2020 | 4 | 2020 |
| Similarity judgments predict N400 amplitude differences between taxonomic category members and thematic associates G Honke, KJ Kurtz, S Laszlo Neuropsychologia 141, 107388, 2020 | 4 | 2020 |
| Disinformation: Detect to Disrupt. C Corcoran, R DiResta, D Morar, N Dhamani, D Sullivan, JL Gleason, ... TTO, 2019 | 2 | 2019 |
| Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings P Azunre, C Corcoran, D Sullivan, G Honke, R Ruppel, S Verma, ... arXiv preprint arXiv:1804.01503, 2018 | 2 | 2018 |
| Switch it up: Learning Categories via Feature Switching G Honke, N Conaway, KJ Kurtz Proceedings of the 38th annual conference of the cognitive science society …, 2016 | 2 | 2016 |
| Optimizing the category construction task to promote learning and transfer of knowledge in classroom instruction KJ Kurtz, A Cavagnetto, G Honke, N Conaway, JD Patterson, JC Marr, ... Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 2 | 2014 |
| Ensemble machine learning with reservoir neural networks SA Laszlo, JR Watson, GR Honke, EK Buchanan, HA Trier, G Bleyan, ... US Patent App. 17/728,398, 2023 | | 2023 |
| Disease representation and classification with machine learning GR Honke, B Lin, AT Jagadeesh US Patent App. 17/574,915, 2023 | | 2023 |
| Reconstruction of sparse biomedical data GR Honke, B Lin, AT Jagadeesh US Patent App. 17/574,834, 2023 | | 2023 |
| ATTENTION-BASED BRAIN EMULATION NEURAL NETWORKS SA Laszlo, LT Nguyen, B Lin, JR Watson, GR Honke US Patent App. 17/557,618, 2023 | | 2023 |
| Processing time-domain and frequency-domain representations of eeg data A Iqbal, GR Honke, N Thigpen, V Miskovic, P Gupta US Patent App. 17/039,303, 2022 | | 2022 |
| Resampling eeg trial data KE Link, V Miskovic, N Thigpen, GR Honke, P Gupta US Patent App. 17/007,193, 2022 | | 2022 |
Kenneth J. KurtzProfessor of Psychology, Binghamton University (SUNY)Verified email at binghamton.edu
