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Richard Klein
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Richard Klein 0001
— College of Business and Behavioral Science, Clemson University, Clemson, SC, USA
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2020 – today
- 2024
- [j6]David Torpey
MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking. Adv. Math. Commun. 33(1) (2024) - [j5]David Torpey
DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning. Pattern Recognit. Lett. 186: 64-70 (2024) - [i15]David Torpey, Richard Klein:
Affine transformation estimation improves visual self-supervised learning. CoRR abs/2402.09071 (2024) - [i14]David Torpey, Richard Klein:
DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning. CoRR abs/2402.15598 (2024) - [i13]David Torpey, Lawrence Pratt, Richard Klein:
A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images. CoRR abs/2402.17611 (2024) - [i12]Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe:
On The Specialization of Neural Modules. CoRR abs/2409.14981 (2024) - 2023
- [j4]Branden Ingram
Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories. IEEE Trans. Games 15(4): 507-516 (2023) - [c16]Branden Ingram, Clint J. van Alten, Richard Klein, Benjamin Rosman:
Creating Diverse Play-Style-Centric Agents through Behavioural Cloning. AIIDE 2023: 255-265 - [c15]Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe:
On The Specialization of Neural Modules. ICLR 2023 - [c14]Nathan Michlo, Richard Klein, Steven James:
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. IJCAI 2023: 4073-4081 - [c13]Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman:
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. NeurIPS 2023 - [i11]Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman:
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. CoRR abs/2310.16686 (2023) - 2022
- [j3]David Torpey
On the robustness of self-supervised representations for multi-view object classification. Pattern Recognit. Lett. 161: 82-89 (2022) - [c12]Branden Ingram, Benjamin Rosman, Clint J. van Alten, Richard Klein:
Play-style Identification through Deep Unsupervised Clustering of Trajectories. CoG 2022: 393-400 - [c11]Branden Ingram, Benjamin Rosman, Clint J. van Alten, Richard Klein:
Improved Action Prediction through Multiple Model Processing of Player Trajectories. CoG 2022: 548-551 - [i10]Nathan Michlo, Steven James, Richard Klein:
Data Overlap: A Prerequisite For Disentanglement. CoRR abs/2202.13341 (2022) - [i9]Nathan Michlo, Devon Jarvis, Richard Klein, Steven James:
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning. CoRR abs/2205.06000 (2022) - [i8]David Torpey, Richard Klein:
On the robustness of self-supervised representations for multi-view object classification. CoRR abs/2208.00787 (2022) - 2021
- [c10]Raesetje Sefala, Timnit Gebru, Nyalleng Moorosi, Luzango Mfupe, Richard Klein:
Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa. NeurIPS Datasets and Benchmarks 2021 - [c9]David Poulton
Improving Pose Estimation Through Contextual Activity Fusion. SACAIR 2021: 63-76 - [i7]David Torpey
Explicit homography estimation improves contrastive self-supervised learning. CoRR abs/2101.04713 (2021) - [i6]Richard Klein, Turgay Çelik:
The Wits Intelligent Teaching System: Detecting Student Engagement During Lectures Using Convolutional Neural Networks. CoRR abs/2105.13794 (2021) - [i5]Pierce Burke, Richard Klein:
Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing. CoRR abs/2105.13984 (2021) - [i4]Julien Nyambal, Richard Klein:
Automated Parking Space Detection Using Convolutional Neural Networks. CoRR abs/2106.07228 (2021) - [i3]Jared Harris-Dewey, Richard Klein:
Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware. CoRR abs/2110.12039 (2021) - [i2]David Poulton, Richard Klein:
Improving Pose Estimation through Contextual Activity Fusion. CoRR abs/2111.02500 (2021) - 2020
- [i1]Kimessha Paupamah, Steven James, Richard Klein:
Quantisation and Pruning for Neural Network Compression and Regularisation. CoRR abs/2001.04850 (2020)
2010 – 2019
- 2017
- [c8]Richard Klein, Turgay Çelik
The Wits Intelligent Teaching System: Detecting student engagement during lectures using convolutional neural networks. ICIP 2017: 2856-2860 - 2016
- [j2]Monica Chiarini Tremblay
Health informatics and analytics - building a program to integrate business analytics across clinical and administrative disciplines. J. Am. Medical Informatics Assoc. 23(4): 824-828 (2016) - [c7]Peng Zhang, Richard Klein:
Old Theory and New Technology - Information Technology's Impact on Transaction Cost Economics. AMCIS 2016 - [c6]Peng Zhang, Monica Chiarini Tremblay, Richard Klein:
An Empirical Investigation of Health Information Exchange Success Factors. ICIS 2016 - 2014
- [c5]Ton A. M. Spil, Richard Klein:
Personal Health Records Success: Why Google Health Failed and What Does that Mean for Microsoft HealthVault? HICSS 2014: 2818-2827 - 2013
- [c4]Marcel Landeweerd, Ton A. M. Spil, Richard Klein:
The Success of Google Search, the Failure of Google Health and the Future of Google Plus. TDIT 2013: 221-239 - [d1]Donald D. Lucas, Richard Klein, John Tannahill, D. Ivanova, Scott Brandon, David Domyancic, Y. Zhang:
Climate Model Simulation Crashes. UCI Machine Learning Repository, 2013 - 2011
- [c3]Richard Klein, Angelo Kyrilov, Mayya Tokman:
Automated assessment of short free-text responses in computer science using latent semantic analysis. ITiCSE 2011: 158-162 - [c2]John Tannahill, Donald D. Lucas, David Domyancic, Scott Brandon, Richard Klein:
Poster: Data intensive uncertainty quantification: applications to climate modeling. SC Companion 2011: 17-18
2000 – 2009
- 2007
- [j1]Dean A. Scribner, Lee Johnson, Perry Skeath, Richard Klein, Douglas Ilg, Lucienne Wasserman, Nicolas Fernandez, Wade Freeman, John Peele, F. Keith Perkins, E. Joseph Friebele, William E. Bassett, J. Grant Howard, W. Krebs:
A Retinal Prosthesis Technology Based on CMOS Microelectronics and Microwire Glass Electrodes. IEEE Trans. Biomed. Circuits Syst. 1(1): 73-84 (2007) - 2003
- [c1]Dean A. Scribner, Lee Johnson, Richard Klein, William E. Bassett, J. Grant Howard, Perry Skeath, Lucienne Wasserman, B. Wright, F. Keith Perkins, Martin Peckerar, B. J. Finch, Robert Graham, Walter C. Trautfield, S. Taylor, Mark S. Humayun:
A retinal prosthesis device based on an 80×40 hybrid microelectronic-microwire glass array. CICC 2003: 517-520
Coauthor Index
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