| Year |
Citation |
Score |
| 2020 |
Verrou KM, Tsamardinos I, Papoutsoglou G. Learning Pathway Dynamics from Single-Cell Proteomic Data: A Comparative Study. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 97: 241-252. PMID 32100455 DOI: 10.1002/Cyto.A.23976 |
0.337 |
|
| 2019 |
Gomez-Cabrero D, Tarazona S, Ferreirós-Vidal I, Ramirez RN, Company C, Schmidt A, Reijmers T, Paul VVS, Marabita F, Rodríguez-Ubreva J, Garcia-Gomez A, Carroll T, Cooper L, Liang Z, Dharmalingam G, ... ... Tsamardinos I, et al. STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse. Scientific Data. 6: 256. PMID 31672995 DOI: 10.1038/S41597-019-0202-7 |
0.307 |
|
| 2019 |
Tsamardinos I, Borboudakis G, Katsogridakis P, Pratikakis P, Christophides V. A greedy feature selection algorithm for Big Data of high dimensionality. Machine Learning. 108: 149-202. PMID 30906113 DOI: 10.1007/S10994-018-5748-7 |
0.317 |
|
| 2018 |
Tsagris M, Borboudakis G, Lagani V, Tsamardinos I. Constraint-based causal discovery with mixed data. International Journal of Data Science and Analytics. 6: 19-30. PMID 30957008 DOI: 10.1007/S41060-018-0097-Y |
0.343 |
|
| 2018 |
Tsagris M, Lagani V, Tsamardinos I. Feature selection for high-dimensional temporal data. Bmc Bioinformatics. 19: 17. PMID 29357817 DOI: 10.1186/S12859-018-2023-7 |
0.328 |
|
| 2018 |
Tsirlis K, Lagani V, Triantafillou S, Tsamardinos I. On scoring Maximal Ancestral Graphs with the Max–Min Hill Climbing algorithm International Journal of Approximate Reasoning. 102: 74-85. DOI: 10.1016/J.Ijar.2018.08.002 |
0.322 |
|
| 2017 |
Papoutsoglou G, Athineou G, Lagani V, Xanthopoulos I, Schmidt A, Éliás S, Tegnér J, Tsamardinos I. SCENERY: a web application for (causal) network reconstruction from cytometry data. Nucleic Acids Research. PMID 28525568 DOI: 10.1093/Nar/Gkx448 |
0.325 |
|
| 2017 |
Lagani V, Athineou G, Farcomeni A, Tsagris M, Tsamardinos I. Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets Journal of Statistical Software. 80: 1-25. DOI: 10.18637/Jss.V080.I07 |
0.318 |
|
| 2016 |
Lagani V, Karozou AD, Gomez-Cabrero D, Silberberg G, Tsamardinos I. A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions. Bmc Bioinformatics. 17: 194. PMID 27294826 DOI: 10.1186/S12859-016-1038-1 |
0.302 |
|
| 2016 |
Charonyktakis P, Plakia M, Tsamardinos I, Papadopouli M. On user-centric modular QoE prediction for voip based on machine-learning algorithms Ieee Transactions On Mobile Computing. 15: 1443-1456. DOI: 10.1109/Tmc.2015.2461216 |
0.327 |
|
| 2013 |
Lagani V, Kortas G, Tsamardinos I. Biomarker signature identification in "omics" data with multi-class outcome. Computational and Structural Biotechnology Journal. 6: e201303004. PMID 24688712 DOI: 10.5936/Csbj.201303004 |
0.32 |
|
| 2010 |
Lagani V, Tsamardinos I. Structure-based variable selection for survival data. Bioinformatics (Oxford, England). 26: 1887-94. PMID 20519286 DOI: 10.1093/Bioinformatics/Btq261 |
0.303 |
|
| 2006 |
Aliferis CF, Statnikov A, Tsamardinos I. Challenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspective. Cancer Informatics. 2: 133-62. PMID 19458765 DOI: 10.4137/Cin.S0 |
0.313 |
|
| 2006 |
Tsamardinos I, Brown LE, Aliferis CF. The max-min hill-climbing Bayesian network structure learning algorithm Machine Learning. 65: 31-78. DOI: 10.1007/S10994-006-6889-7 |
0.318 |
|
| 2005 |
Statnikov A, Tsamardinos I, Dosbayev Y, Aliferis CF. GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data. International Journal of Medical Informatics. 74: 491-503. PMID 15967710 DOI: 10.1016/J.Ijmedinf.2005.05.002 |
0.313 |
|
| 2004 |
Statnikov A, Aliferis CF, Tsamardinos I. Methods for multi-category cancer diagnosis from gene expression data: a comprehensive evaluation to inform decision support system development. Studies in Health Technology and Informatics. 107: 813-7. PMID 15360925 DOI: 10.3233/978-1-60750-949-3-813 |
0.338 |
|
| 2004 |
Brown LE, Tsamardinos I, Aliferis CF. A novel algorithm for scalable and accurate Bayesian network learning. Studies in Health Technology and Informatics. 107: 711-5. PMID 15360905 DOI: 10.3233/978-1-60750-949-3-711 |
0.327 |
|
| 2003 |
Tsamardinos I, Vidal T, Pollack ME. CTP: A New Constraint-Based Formalism for Conditional, Temporal Planning Constraints. 8: 365-388. DOI: 10.1023/A:1025894003623 |
0.612 |
|
| 2003 |
Pollack ME, Brown L, Colbry D, McCarthy CE, Orosz C, Peintner B, Ramakrishnan S, Tsamardinos I. Autominder: An intelligent cognitive orthotic system for people with memory impairment Robotics and Autonomous Systems. 44: 273-282. DOI: 10.1016/S0921-8890(03)00077-0 |
0.671 |
|
| 2003 |
Tsamardinos I, Pollack ME. Efficient solution techniques for disjunctive temporal reasoning problems Artificial Intelligence. 151: 43-89. DOI: 10.1016/S0004-3702(03)00113-9 |
0.613 |
|
| 2002 |
Berfield A, Chrysanthis PK, Tsamardinos I, Pollack ME, Banerjee S. A scheme for integrating e-services in establishing virtual enterprises Proceedings of the Ieee International Workshop On Research Issues in Data Engineering. 2002: 134-142. DOI: 10.1109/RIDE.2002.995107 |
0.584 |
|
| 2002 |
Pollack ME, McCarthy CE, Ramakrishnan S, Tsamardinos I. Execution-time plan management for a cognitive orthotic system Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2466: 179-192. |
0.681 |
|
| 1998 |
Bicchieri C, Pollack ME, Rovelli C, Tsamardinos I. The potential for the evolution of co-operation among web agents International Journal of Human-Computer Studies \/ International Journal of Man-Machine Studies. 48: 9-29. DOI: 10.1006/Ijhc.1997.0158 |
0.6 |
|
| 1998 |
Bicchieri C, Pollack ME, Rovelli C, Tsamardinos I. The potential for the evolution of co-operation among web agents International Journal of Human Computer Studies. 48: 9-29. |
0.545 |
|
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