Articoli con mandati relativi all'accesso pubblico - David LeakeUlteriori informazioni
Non disponibili pubblicamente: 2
On bringing case-based reasoning methodology to deep learning
D Leake, D Crandall
Case-Based Reasoning Research and Development: 28th International Conference …, 2020
Mandati: US Department of Defense
Case adaptation with neural networks: Capabilities and limitations
X Ye, D Leake, D Crandall
International Conference on Case-Based Reasoning, 143-158, 2022
Mandati: US Department of Defense
Disponibili pubblicamente: 20
Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation.
D Leake, X Ye, DJ Crandall
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2, 2021
Mandati: US Department of Defense
Linking adaptation and similarity learning
DB Leake, A Kinley, D Wilson
Proceedings of the Eighteenth Annual Conference of the Cognitive Science …, 2019
Mandati: US National Science Foundation
Applying class-to-class siamese networks to explain classifications with supportive and contrastive cases
X Ye, D Leake, W Huibregtse, M Dalkilic
International conference on case-based reasoning, 245-260, 2020
Mandati: US Department of Defense
Learning adaptations for case-based classification: A neural network approach
X Ye, D Leake, V Jalali, DJ Crandall
Case-Based Reasoning Research and Development: 29th International Conference …, 2021
Mandati: US Department of Defense
Large Language Models Need Symbolic AI.
KJ Hammond, DB Leake
NeSy, 204-209, 2023
Mandati: US Department of Defense
Cases are King: A User Study of Case Presentation to Explain CBR Decisions
L Gates, D Leake, K Wilkerson
Case-based Reasoning Research and Development: 31st International Conference …, 2023
Mandati: US Department of Defense
Harmonizing case retrieval and adaptation with alternating optimization
D Leake, X Ye
Case-Based Reasoning Research and Development: 29th International Conference …, 2021
Mandati: US Department of Defense
Mining for topics to suggest knowledge model extensions
C Lorenzetti, A Maguitman, D Leake, F Menczer, T Reichherzer
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (2), 1-30, 2016
Mandati: US National Aeronautics and Space Administration, Government of Argentina
Examining the impact of network architecture on extracted feature quality for CBR
D Leake, Z Wilkerson, V Vats, K Acharya, D Crandall
International Conference on Case-Based Reasoning, 3-18, 2023
Mandati: US Department of Defense
On combining knowledge-engineered and network-extracted features for retrieval
Z Wilkerson, D Leake, DJ Crandall
Case-Based Reasoning Research and Development: 29th International Conference …, 2021
Mandati: US Department of Defense
Extracting case indices from convolutional neural networks: a comparative study
D Leake, Z Wilkerson, D Crandall
International Conference on Case-Based Reasoning, 81-95, 2022
Mandati: US Department of Defense
Generating Counterfactual Images: Towards a C2C-VAE Approach.
Z Zhao, D Leake, X Ye, DJ Crandall
ICCBR Workshops, 189-194, 2022
Mandati: US Department of Defense
Evaluating CBR Explanation Capabilities: Survey and Next Steps.
L Gates, D Leake
ICCBR Workshops, 40-51, 2021
Mandati: US Department of Defense
Bridging ai paradigms with cases and networks
D Leake
Computer Sciences & Mathematics Forum 8 (1), 71, 2023
Mandati: US Department of Defense
Less is Better: An Energy-Based Approach to Case Base Competence
E Marquer, F Badra, MJ Lesot, M Couceiro, D Leake
ICCBR ATA’23: Workshop on Analogies: From Theory to Applications–AR & CBR …, 2023
Mandati: US Department of Defense, Agence Nationale de la Recherche
Enhancing Case-Based Reasoning with Neural Networks
D Leake, Z Wilkerson, X Ye, DJ Crandall
Compendium of Neurosymbolic Artificial Intelligence, 387-409, 2023
Mandati: US Department of Defense
Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach.
X Ye, Z Zhao, D Leake, D Crandall
ICCC, 314-323, 2022
Mandati: US Department of Defense
Towards Addressing Problem-Distribution Drift with Case Discovery
D Leake, B Schack
Case-based Reasoning Research and Development: 31st International Conference …, 2023
Mandati: US Department of Defense
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