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60篇 您的检索式：作者名="TSAMARDINOS"

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	题名	作者	年代	出处	被引量
1	Chemically intuited,large-scale screening of MOFs by machine learning techniques显示文摘A novel computational methodology for large-scale screening of MOFs is applied to gas storage with the use of machine learning technologies.This approach is a promising trade-off between the accuracy of ab initio methods and the speed of classical approaches,strategically combined with chemical intuition.The results demonstrate that the chemical properties of MOFs are indeed predictable(stochastically,not deterministically)using machine learning methods and automated analysis protocols,with the accuracy of predictions increasing with sample size.Our initial results indicate that this methodology is promising to apply not only to gas storage in MOFs but in many other material science projects.	Giorgos Borboudakis Taxiarchis Stergiannakos Maria Frysali Emmanuel Klontzas Ioannis Tsamardinos George E.Froudakis	2017	npj Computational Materials2017，，1：	2
2	A compre- hensive evaluation of muhicategory classification methods for microarray gene expression cancer diagnosis显示文摘	Statnikov A Aliferis C F Tsamardinos I	2005	Bioin- formatics2005，21，5：	1
3	The Max-Min Hill-Climbing Bayesian Network Structure Learning Algorithm显示文摘	Tsamardinos I	2006	Machine Learning2006，65，1：	1
4	A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis显示文摘	Statnikov A Aliferis C F Tsamardinos I	2005	Bioinformatics2005，21，5：	1
5	The Max-minhill-climbing Bayesian network structure learning algorithm 显示文摘	Tsamardinos I Brown L E Aliferic C F	2006	Machine Learning2006，65，1：	1
6	The max-rain hill-clibming Bayesian network structurelearning algorithm 显示文摘	Tsamardinos Ioannis Brown Laura Aliferis Constantin	2006	Machine Learning2006，65，1：	1
7	The max-min hill- climbing Bayesian network structure learning algorithm 显示文摘	Tsamardinos Brown L E Aliferis C F	2006	Machine Learning2006，65，1：	1
8	The max-min hill- climbing Bayesian network structure learning algorithm显示文摘	Tsamardinos I Brown E Aleferis C F	2006	Machine Learning2006，65，1：	1
9	A comprehensive evaluation of mutticategory classification methods for microarray gene expression cancer diagnosis显示文摘	Statnikov A Aliferis C F Tsamardinos I	2005	Bioinformatics2005，21，5：	1
10	The max-min hill-climbing Bayesian network structure learning algorithm 显示文摘	Tsamardinos I Brown E Aleferis CF	2006	Machine Learning2006，65，1：	1
11	The max-rain hill-climbing Bayesian network structure learning algorithm显示文摘	Tsamardinos I Brown E Aleferis C F	2006	Machine Learning2006，55，1：	1
12	A comprehensive evaluation of multicategory classification methods for gene expression cancer diagnosis 显示文摘	STATNIKOV A ALIFERIS C F TSAMARDINOS I	2005	Bioin- formatics2005，21，5：	1
13	The max min hill-climbing Bayesian network structure learn ing algorithm显示文摘	Tsamardinos I Brown L E Aliferis C F	2006	Machine Learning2006，65，1：	1
14	The max - rain hill climbing BN structure learning algorithm显示文摘	I Tsamardinos L F Brown and C F Aliferis	2006	Machine Learning2006，65，：	1
15	GEMS:a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data显示文摘	Statnikov A Tsamardinos I Dosbayev Y	2005	International journal of medical informatics2005，74，7：	1
16	Local causal and Markov blanket induction for causal discovery and feature selection for classification 显示文摘	Constantin F Aliferis Alexander Statnikov Ioannis Tsamardinos	2010	Journal of Machine Learning Research2010，11，：	1
17	GEMS: A system for automated cancer diagnosis and biumarker discovery from microarray gene expression data显示文摘	Statnikov A Tsamardinos I Dosbayev Y Aliferis C	2005	International Journal of Medical Informatics2005，74，5：	1
18	A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis 显示文摘	Statnikov A Aliferis C Tsamardinos I Hardin D Levy S	2005	Bioinformat- ics2005，21，5：	1
19	The max-min hill-climbing Bayesian network structure learning algorithm显示文摘	TSAMARDINOS I BROWN L E ALIFERIS C F	2006	Machine Learning2006，65，1：	1
20	The max-min hill-climbing Bayesian network structure learning algorithm显示文摘	TSAMARDINOS I BROWN L E ALIFERIS C F		0，，：	1

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