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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1945 1
1946 1
1949 1
1951 1
1956 4
1959 2
1961 1
1963 1
1965 1
1966 3
1967 4
1968 5
1969 4
1970 4
1971 7
1972 3
1973 7
1974 5
1975 30
1976 37
1977 41
1978 38
1979 48
1980 33
1981 32
1982 48
1983 52
1984 62
1985 73
1986 81
1987 82
1988 96
1989 111
1990 139
1991 159
1992 152
1993 194
1994 220
1995 257
1996 253
1997 310
1998 281
1999 305
2000 398
2001 398
2002 412
2003 495
2004 582
2005 699
2006 770
2007 757
2008 884
2009 980
2010 977
2011 1051
2012 1225
2013 1265
2014 1325
2015 1422
2016 1445
2017 1489
2018 1690
2019 1896
2020 2066
2021 2469
2022 2685
2023 3013
2024 1252

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31,409 results

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Page 1
PointGLR: Unsupervised Structural Representation Learning of 3D Point Clouds.
Rao Y, Lu J, Zhou J. Rao Y, et al. IEEE Trans Pattern Anal Mach Intell. 2023 Feb;45(2):2193-2207. doi: 10.1109/TPAMI.2022.3159794. Epub 2023 Jan 6. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 35294344
Moreover, we extend the unsupervised structural representation learning method to more complex 3D scenes. By introducing structural proxies as the intermediate-level representations between local and global ones, we propose a hierarchical reasoning sch …
Moreover, we extend the unsupervised structural representation learning method to more complex 3D scenes. By introducing st …
Relation-Guided Representation Learning.
Kang Z, Lu X, Liang J, Bai K, Xu Z. Kang Z, et al. Neural Netw. 2020 Nov;131:93-102. doi: 10.1016/j.neunet.2020.07.014. Epub 2020 Jul 31. Neural Netw. 2020. PMID: 32763763
Deep auto-encoders (DAEs) have achieved great success in learning data representations via the powerful representability of neural networks. But most DAEs only focus on the most dominant structures which are able to reconstruct the data from a latent space an …
Deep auto-encoders (DAEs) have achieved great success in learning data representations via the powerful representability of ne …
Representation and agency.
Friston K. Friston K. Behav Brain Sci. 2020 Jun 19;43:e134. doi: 10.1017/S0140525X19002929. Behav Brain Sci. 2020. PMID: 32645805
Gilead et al. raise some fascinating issues about representational substrates and structures in the predictive brain. This commentary drills down on a core theme in their arguments; namely, the structure of models that generate predictions. ...
Gilead et al. raise some fascinating issues about representational substrates and structures in the predictive brain. This com …
The hippocampus and related neocortical structures in memory transformation.
Sekeres MJ, Winocur G, Moscovitch M. Sekeres MJ, et al. Neurosci Lett. 2018 Jul 27;680:39-53. doi: 10.1016/j.neulet.2018.05.006. Epub 2018 May 4. Neurosci Lett. 2018. PMID: 29733974 Review.
Notable among the anterior neocortical structures is the medial prefrontal cortex (mPFC) which supports representation of schemas that code for common aspects of memories across different episodes. ...Each of these representations of an episodic memory can co …
Notable among the anterior neocortical structures is the medial prefrontal cortex (mPFC) which supports representation of sche …
Hierarchical representation for PPI sites prediction.
Quadrini M, Daberdaku S, Ferrari C. Quadrini M, et al. BMC Bioinformatics. 2022 Mar 20;23(1):96. doi: 10.1186/s12859-022-04624-y. BMC Bioinformatics. 2022. PMID: 35307006 Free PMC article.
Promising results have been obtained using machine learning methods and deep learning techniques, but their effectiveness depends on protein representation and feature selection. RESULTS: We define a new abstraction of the protein structure, called hierarchical r …
Promising results have been obtained using machine learning methods and deep learning techniques, but their effectiveness depends on protein …
COLLAPSE: A representation learning framework for identification and characterization of protein structural sites.
Derry A, Altman RB. Derry A, et al. Protein Sci. 2023 Feb;32(2):e4541. doi: 10.1002/pro.4541. Protein Sci. 2023. PMID: 36519247 Free PMC article.
However, the quantity of known protein structures is rapidly outpacing our ability to functionally annotate them. ...We present COLLAPSE (Compressed Latents Learned from Aligned Protein Structural Environments), a framework for learning deep representations o …
However, the quantity of known protein structures is rapidly outpacing our ability to functionally annotate them. ...We present COLLA …
Episodic representation: A mental models account.
Andonovski N. Andonovski N. Front Psychol. 2022 Jul 22;13:899371. doi: 10.3389/fpsyg.2022.899371. eCollection 2022. Front Psychol. 2022. PMID: 35936308 Free PMC article.
This paper offers a modeling account of episodic representation. I argue that the episodic system constructs mental models: representations that preserve the spatiotemporal structure of represented domains. ...Due to their simplicity and manipulability, menta …
This paper offers a modeling account of episodic representation. I argue that the episodic system constructs mental models: repres …
Residue Cluster Classes: A Unified Protein Representation for Efficient Structural and Functional Classification.
Fontove F, Del Rio G. Fontove F, et al. Entropy (Basel). 2020 Apr 20;22(4):472. doi: 10.3390/e22040472. Entropy (Basel). 2020. PMID: 33286246 Free PMC article.
To model such a relationship, a single representation to model both protein structure and function would be convenient, yet so far, the most effective models for protein structure or function classification do not rely on the same protein representation …
To model such a relationship, a single representation to model both protein structure and function would be convenient, yet so …
Thought-Shapers Embedded.
Kondor Z. Kondor Z. Front Psychol. 2022 Jul 19;13:918820. doi: 10.3389/fpsyg.2022.918820. eCollection 2022. Front Psychol. 2022. PMID: 35928426 Free PMC article.
I propose that the elements of the above mentioned definition of thought-shapers are built upon a structure that consists of representational skills, means, and institutions. ...In my argument for the thought-shaper potential of the generative technique of public …
I propose that the elements of the above mentioned definition of thought-shapers are built upon a structure that consists of repre …
Community representation in hospital decision making: a literature review.
Murray Z. Murray Z. Aust Health Rev. 2015 Jun;39(3):323-328. doi: 10.1071/AH14016. Aust Health Rev. 2015. PMID: 25662798 Review.
CONCLUSIONS: The analysis indicates that: quality subcommittees set up to assist boards are a key structure for involving community representation in decision making around quality of care. ...For an inclusive agenda to real life, work must be done on understanding …
CONCLUSIONS: The analysis indicates that: quality subcommittees set up to assist boards are a key structure for involving community …
31,409 results
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