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Year Number of Results
1895 1
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1901 1
1903 1
1906 1
1907 2
1908 3
1909 3
1910 2
1911 1
1912 4
1913 3
1914 6
1915 5
1917 1
1918 6
1919 2
1920 1
1921 3
1922 2
1923 5
1924 7
1925 10
1926 4
1927 7
1928 7
1929 4
1930 3
1931 6
1932 6
1933 3
1934 8
1935 4
1936 2
1937 6
1938 5
1939 3
1940 3
1941 5
1942 3
1943 3
1944 5
1945 15
1946 26
1947 35
1948 46
1949 54
1950 41
1951 55
1952 43
1953 54
1954 84
1955 81
1956 70
1957 89
1958 79
1959 86
1960 95
1961 88
1962 88
1963 140
1964 211
1965 439
1966 619
1967 836
1968 989
1969 1200
1970 1232
1971 1388
1972 1516
1973 1416
1974 1438
1975 2158
1976 2038
1977 1929
1978 1986
1979 2073
1980 2132
1981 2085
1982 2274
1983 2634
1984 2985
1985 2966
1986 3034
1987 2977
1988 3159
1989 3592
1990 3751
1991 3687
1992 3660
1993 3505
1994 3601
1995 3620
1996 3772
1997 3818
1998 3797
1999 3679
2000 3827
2001 3884
2002 4003
2003 4305
2004 4644
2005 5156
2006 5753
2007 6122
2008 5834
2009 6229
2010 6699
2011 7416
2012 8205
2013 8621
2014 9054
2015 9417
2016 9823
2017 10013
2018 11019
2019 11729
2020 13166
2021 15264
2022 16354
2023 16080
2024 16479
2025 5891

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289,433 results

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Page 1
Regulation strategies for two-output biomolecular networks.
Alexis E, Schulte CCM, Cardelli L, Papachristodoulou A. Alexis E, et al. J R Soc Interface. 2023 Aug;20(205):20230174. doi: 10.1098/rsif.2023.0174. Epub 2023 Aug 2. J R Soc Interface. 2023. PMID: 37528680 Free PMC article.
Here, we study control schemes for biomolecular processes with two outputs of interest, expanding previously described concepts based on single-output systems. Regulation of such processes may unlock new design possibilities but can be challenging due to coupling in …
Here, we study control schemes for biomolecular processes with two outputs of interest, expanding previously described concepts based …
Survey on Multi-Output Learning.
Xu D, Shi Y, Tsang IW, Ong YS, Gong C, Shen X. Xu D, et al. IEEE Trans Neural Netw Learn Syst. 2020 Jul;31(7):2409-2429. doi: 10.1109/TNNLS.2019.2945133. Epub 2019 Nov 6. IEEE Trans Neural Netw Learn Syst. 2020. PMID: 31714241
The aim of multi-output learning is to simultaneously predict multiple outputs given an input. It is an important learning problem for decision-making since making decisions in the real world often involves multiple complex factors and criteria. In recent times, an …
The aim of multi-output learning is to simultaneously predict multiple outputs given an input. It is an important learning pro …
UK paediatric surgical academic output (2005-2020): A cause for concern?
Davenport M, Jawaid WB, Losty PD. Davenport M, et al. J Pediatr Surg. 2021 Dec;56(12):2142-2147. doi: 10.1016/j.jpedsurg.2021.07.023. Epub 2021 Aug 1. J Pediatr Surg. 2021. PMID: 34392970
Textbooks, book chapters, abstracts, duplications ("double dipping") and output attributed to UK BAPS-CASS national studies were excluded. Some output(s), not considered as relevant to "paediatric surgery", was edited. ...CONCLUSIONS: This study highlights current p …
Textbooks, book chapters, abstracts, duplications ("double dipping") and output attributed to UK BAPS-CASS national studies were excl …
The digital motor output: a conceptual framework for a meaningful clinical performance metric for a motor neuroprosthesis.
Sawyer A, Cooke L, Ramsey NF, Putrino D. Sawyer A, et al. J Neurointerv Surg. 2024 Apr 23;16(5):443-446. doi: 10.1136/jnis-2023-020316. J Neurointerv Surg. 2024. PMID: 37524520 Review.
Upper extremity movement is typically required to generate the motor outputs that control these interfaces, such as rapidly and accurately navigating and clicking a mouse, or activating a touch screen. ...To evaluate the use of these implanted technologies, there is a need …
Upper extremity movement is typically required to generate the motor outputs that control these interfaces, such as rapidly and accur …
Comparative phylogenetic analysis of milk output at peak lactation.
Riek A. Riek A. Comp Biochem Physiol A Mol Integr Physiol. 2021 Jul;257:110976. doi: 10.1016/j.cbpa.2021.110976. Epub 2021 May 8. Comp Biochem Physiol A Mol Integr Physiol. 2021. PMID: 33974968
However, in the last three decades little attention has been given to the comparative aspects of quantitative milk output and the related nutrient outputs at peak lactation, one of the most energy demanding times for the lactating female. Therefore, the purpose of t …
However, in the last three decades little attention has been given to the comparative aspects of quantitative milk output and the rel …
Metric Learning for Multi-Output Tasks.
Liu W, Xu D, Tsang IW, Zhang W. Liu W, et al. IEEE Trans Pattern Anal Mach Intell. 2019 Feb;41(2):408-422. doi: 10.1109/TPAMI.2018.2794976. Epub 2018 Jan 18. IEEE Trans Pattern Anal Mach Intell. 2019. PMID: 29994178
Multi-output learning with the task of simultaneously predicting multiple outputs for an input has increasingly attracted interest from researchers due to its wide application. ...In particular, we present a novel large margin metric learning paradigm for multi-o
Multi-output learning with the task of simultaneously predicting multiple outputs for an input has increasingly attracted inte …
Regularized Multi-Output Gaussian Convolution Process With Domain Adaptation.
Wang X, Wang C, Song X, Kirby L, Wu J. Wang X, et al. IEEE Trans Pattern Anal Mach Intell. 2023 May;45(5):6142-6156. doi: 10.1109/TPAMI.2022.3205036. Epub 2023 Apr 3. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 36074880
Multi-output Gaussian process (MGP) has been attracting increasing attention as a transfer learning method to model multiple outputs. ...More specifically, a sparse covariance matrix of MGP is constructed using convolution process, where penalization terms are added …
Multi-output Gaussian process (MGP) has been attracting increasing attention as a transfer learning method to model multiple outpu
Practical Output Containment of Heterogeneous Nonlinear Multiagent Systems Under External Disturbances.
Wang Q, Dong X, Wen G, Lu J, Ren Z. Wang Q, et al. IEEE Trans Cybern. 2023 Aug;53(8):5191-5201. doi: 10.1109/TCYB.2022.3175769. Epub 2023 Jul 18. IEEE Trans Cybern. 2023. PMID: 35727790
It is required that the outputs of followers converge to the predefined convex combination of leaders' outputs. ...Furthermore, with the help of the Lyapunov stability theory and the output regulation method, the practical output containment criteria f …
It is required that the outputs of followers converge to the predefined convex combination of leaders' outputs. ...Furthermore …
Which Contributes to Clinical Performance: Academic Output or Person-Environment Fit?
Dong M, Xiao Y, Shi C, Zeng W, Wu F, Li G. Dong M, et al. Front Public Health. 2022 Mar 4;10:801917. doi: 10.3389/fpubh.2022.801917. eCollection 2022. Front Public Health. 2022. PMID: 35309226 Free PMC article.
Hospitals in China have included academic outputs in the promotion criteria to incentive medical clinicians to engage in scientific research so that to improve job performance (JP). ...Linear multilevel regression was conducted to examine the relationship between clinical …
Hospitals in China have included academic outputs in the promotion criteria to incentive medical clinicians to engage in scientific r …
Output Feedback Q-Learning for Linear-Quadratic Discrete-Time Finite-Horizon Control Problems.
Calafiore GC, Possieri C. Calafiore GC, et al. IEEE Trans Neural Netw Learn Syst. 2021 Jul;32(7):3274-3281. doi: 10.1109/TNNLS.2020.3010304. Epub 2021 Jul 6. IEEE Trans Neural Netw Learn Syst. 2021. PMID: 32745011
An algorithm is proposed to determine output feedback policies that solve finite-horizon linear-quadratic (LQ) optimal control problems without requiring knowledge of the system dynamical matrices. ...It is then shown how they can be parameterized as functions of the input …
An algorithm is proposed to determine output feedback policies that solve finite-horizon linear-quadratic (LQ) optimal control proble …
289,433 results
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