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Ioannis Tsamardinos
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Publications
- 2024
- [j37]Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou:
Out-of-Sample Tuning for Causal Discovery. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4963-4973 (2024) - [i15]Konstantina Biza, Antonios Ntroumpogiannis, Sofia Triantafillou, Ioannis Tsamardinos:
Towards Automated Causal Discovery: a case study on 5G telecommunication data. CoRR abs/2402.14481 (2024) - 2023
- [j36]Kleanthi Lakiotaki, Zacharias Papadovasilakis, Vincenzo Lagani, Stefanos Fafalios, Paulos Charonyktakis, Michail Tsagris, Ioannis Tsamardinos:
Automated machine learning for genome wide association studies. Bioinform. 39(9) (2023) - [j35]Ioulia Karagiannaki, Krystallia Gourlia, Vincenzo Lagani, Yannis Pantazis, Ioannis Tsamardinos:
Learning biologically-interpretable latent representations for gene expression data. Mach. Learn. 112(11): 4257-4287 (2023) - [j34]Antonios Ntroumpogiannis, Michail Giannoulis, Nikolaos Myrtakis, Vassilis Christophides, Eric Simon, Ioannis Tsamardinos:
A meta-level analysis of online anomaly detectors. VLDB J. 32(4): 845-886 (2023) - [i14]Giorgos Borboudakis, Paulos Charonyktakis, Konstantinos Paraschakis, Ioannis Tsamardinos:
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML. CoRR abs/2312.06305 (2023) - 2022
- [j31]Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki, Ioannis Tsamardinos:
The $\gamma$γ-OMP Algorithm for Feature Selection With Application to Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1214-1224 (2022) - [i13]Antonios Ntroumpogiannis, Michail Giannoulis, Nikolaos Myrtakis, Vassilis Christophides, Eric Simon, Ioannis Tsamardinos:
A Meta-level Analysis of Online Anomaly Detectors. CoRR abs/2209.05899 (2022) - 2021
- [j30]Giorgos Borboudakis, Ioannis Tsamardinos:
Extending greedy feature selection algorithms to multiple solutions. Data Min. Knowl. Discov. 35(4): 1393-1434 (2021) - [c54]Maria Papadogiorgaki, Maria Venianaki, Paulos Charonyktakis, Marios Antonakakis, Ioannis Tsamardinos, Michalis E. Zervakis, Vangelis Sakkalis:
Heart Rate Classification Using ECG Signal Processing and Machine Learning Methods. BIBE 2021: 1-6 - [c53]Nikolaos Myrtakis, Ioannis Tsamardinos, Vassilis Christophides:
PROTEUS: Predictive Explanation of Anomalies. ICDE 2021: 1967-1972 - [i12]Nikolaos Myrtakis, Ioannis Tsamardinos, Vassilis Christophides:
On Predictive Explanation of Data Anomalies. CoRR abs/2110.09467 (2021) - 2020
- [c52]Yannis Pantazis, Christos Tselas, Kleanthi Lakiotaki, Vincenzo Lagani, Ioannis Tsamardinos:
Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions. BIBM 2020: 2505-2512 - [c51]Ioulia Karagiannaki, Yannis Pantazis, Ekaterini Chatzaki, Ioannis Tsamardinos:
Pathway Activity Score Learning for Dimensionality Reduction of Gene Expression Data. DS 2020: 246-261 - [c50]Iordanis Xanthopoulos, Ioannis Tsamardinos, Vassilis Christophides, Eric Simon, Alejandro Salinger:
Putting the Human Back in the AutoML Loop. EDBT/ICDT Workshops 2020 - [c49]Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou:
Tuning Causal Discovery Algorithms. PGM 2020: 17-28 - [i11]Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki, Ioannis Tsamardinos:
A generalised OMP algorithm for feature selection with application to gene expression data. CoRR abs/2004.00281 (2020) - [i10]Anastasios Tsourtis, Yannis Pantazis, Ioannis Tsamardinos:
Inference of Stochastic Dynamical Systems from Cross-Sectional Population Data. CoRR abs/2012.05055 (2020) - 2019
- [j29]Yannis Pantazis, Ioannis Tsamardinos:
A unified approach for sparse dynamical system inference from temporal measurements. Bioinform. 35(18): 3387-3396 (2019) - [j28]Giorgos Borboudakis, Ioannis Tsamardinos:
Forward-Backward Selection with Early Dropping. J. Mach. Learn. Res. 20: 8:1-8:39 (2019) - [j27]Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis, Vassilis Christophides:
A greedy feature selection algorithm for Big Data of high dimensionality. Mach. Learn. 108(2): 149-202 (2019) - 2018
- [j26]Kleanthi Lakiotaki, Nikolaos Vorniotakis, Michail Tsagris, Georgios Georgakopoulos, Ioannis Tsamardinos:
BioDataome: a collection of uniformly preprocessed and automatically annotated datasets for data-driven biology. Database J. Biol. Databases Curation 2018: bay011 (2018) - [j25]Michail Tsagris, Vincenzo Lagani, Ioannis Tsamardinos:
Feature selection for high-dimensional temporal data. BMC Bioinform. 19(1): 17:1-17:14 (2018) - [j24]Konstantinos Tsirlis, Vincenzo Lagani, Sofia Triantafillou, Ioannis Tsamardinos:
On scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing algorithm. Int. J. Approx. Reason. 102: 74-85 (2018) - [j23]Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos:
Constraint-based causal discovery with mixed data. Int. J. Data Sci. Anal. 6(1): 19-30 (2018) - [j22]Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos:
Correction to: Constraint-based causal discovery with mixed data. Int. J. Data Sci. Anal. 6(1): 31 (2018) - [j21]Ioannis Tsamardinos, Elissavet Greasidou, Giorgos Borboudakis:
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation. Mach. Learn. 107(12): 1895-1922 (2018) - [c48]Marios Adamou, Grigoris Antoniou, Elissavet Greasidou, Vincenzo Lagani, Paulos Charonyktakis, Ioannis Tsamardinos:
Mining Free-Text Medical Notes for Suicide Risk Assessment. SETN 2018: 47:1-47:8 - [i9]Michail Tsagris, Ioannis Tsamardinos:
Feature selection with the R package MXM. F1000Research 7: 1505 (2018) - 2017
- [j20]Giorgos Papoutsoglou, Giorgos Athineou, Vincenzo Lagani, Iordanis Xanthopoulos, Angelika Schmidt, Szabolcs Elias, Jesper Tegnér, Ioannis Tsamardinos:
SCENERY: a web application for (causal) network reconstruction from cytometry data. Nucleic Acids Res. 45(Webserver-Issue): W270-W275 (2017) - [i8]Giorgos Borboudakis, Ioannis Tsamardinos:
Forward-Backward Selection with Early Dropping. CoRR abs/1705.10770 (2017) - [i7]Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis, Vassilis Christophides:
Massively-Parallel Feature Selection for Big Data. CoRR abs/1708.07178 (2017) - [i6]Ioannis Tsamardinos, Elissavet Greasidou, Michalis Tsagris, Giorgos Borboudakis:
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation. CoRR abs/1708.07180 (2017) - 2016
- [j19]Vincenzo Lagani, Argyro D. Karozou, David Gomez-Cabrero, Gilad Silberberg, Ioannis Tsamardinos:
Erratum to: A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions. BMC Bioinform. 17: 290 (2016) - [j18]Vincenzo Lagani, Argyro D. Karozou, David Gomez-Cabrero, Gilad Silberberg, Ioannis Tsamardinos:
A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions. BMC Bioinform. 17(S-5): S194 (2016) - [j17]Paulos Charonyktakis, Maria Plakia, Ioannis Tsamardinos, Maria Papadopouli:
On User-Centric Modular QoE Prediction for VoIP Based on Machine-Learning Algorithms. IEEE Trans. Mob. Comput. 15(6): 1443-1456 (2016) - [c47]Giorgos Borboudakis, Ioannis Tsamardinos:
Towards Robust and Versatile Causal Discovery for Business Applications. KDD 2016: 1435-1444 - [c46]Giorgos Athineou, Giorgos Papoutsoglou, Sofia Triantafillou, Ioannis Basdekis, Vincenzo Lagani, Ioannis Tsamardinos:
SCENERY: A Web-Based Application for Network Reconstruction and Visualization of Cytometry Data. PACBB 2016: 203-211 - [c45]Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos:
Marginal Causal Consistency in Constraint-based Causal Learning. CFA@UAI 2016: 39-47 - [c44]Sofia Triantafillou, Ioannis Tsamardinos:
Score-based vs Constraint-based Causal Learning in the Presence of Confounders. CFA@UAI 2016: 59-67 - 2015
- [j16]Ioannis Tsamardinos, Amin Rakhshani, Vincenzo Lagani:
Performance-Estimation Properties of Cross-Validation-Based Protocols with Simultaneous Hyper-Parameter Optimization. Int. J. Artif. Intell. Tools 24(5): 1540023:1-1540023:29 (2015) - [j15]Sofia Triantafillou, Ioannis Tsamardinos:
Constraint-based causal discovery from multiple interventions over overlapping variable sets. J. Mach. Learn. Res. 16: 2147-2205 (2015) - [c41]Giorgos Borboudakis, Ioannis Tsamardinos:
Bayesian Network Learning with Discrete Case-Control Data. UAI 2015: 151-160 - 2014
- [j14]Nestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi:
Don't use a cannon to kill the ... miRNA mosquito. Bioinform. 30(7): 1047-1048 (2014) - [c40]Sofia Triantafilou, Ioannis Tsamardinos, Anna Roumpelaki:
Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery. Probabilistic Graphical Models 2014: 487-502 - [c39]Ioannis Tsamardinos, Amin Rakhshani, Vincenzo Lagani:
Performance-Estimation Properties of Cross-Validation-Based Protocols with Simultaneous Hyper-Parameter Optimization. SETN 2014: 1-14 - [i5]Sofia Triantafilou, Ioannis Tsamardinos:
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets. CoRR abs/1403.2150 (2014) - [i3]Giorgos Borboudakis, Ioannis Tsamardinos:
Scoring and Searching over Bayesian Networks with Causal and Associative Priors. CoRR abs/1408.2057 (2014) - 2013
- [c38]Nestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi:
A bioinformatics approach for investigating the determinants of Drosha processing. BIBE 2013: 1-4 - [c37]Giorgos Borboudakis, Ioannis Tsamardinos:
Scoring and Searching over Bayesian Networks with Causal and Associative Priors. UAI 2013 - 2012
- [j12]Ioannis Tsamardinos, Sofia Triantafilou, Vincenzo Lagani:
Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies. J. Mach. Learn. Res. 13: 1097-1157 (2012) - [c36]Nestoras Karathanasis, Ioannis Tsamardinos, Angelos P. Armen, Panayiota Poirazi:
SVM-based miRNA: MiRNA∗ duplex prediction. BIBE 2012: 181-186 - [c35]Giorgos Borboudakis, Ioannis Tsamardinos:
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs. ICML 2012 - [c34]Sophia Kleisarchaki, Dimitris Kotzinos, Ioannis Tsamardinos, Vassilis Christophides:
A Methodological Framework for Statistical Analysis of Social Text Streams. ISIP 2012: 101-110 - [c33]Vincenzo Lagani, Ioannis Tsamardinos, Sofia Triantafilou:
Learning from Mixture of Experimental Data: A Constraint-Based Approach. SETN 2012: 124-131 - [i2]Giorgos Borboudakis, Ioannis Tsamardinos:
Scoring Bayesian Networks with Informative, Causal and Associative Priors. CoRR abs/1209.6561 (2012) - 2011
- [c32]Chrysi Filippaki, Grigoris Antoniou, Ioannis Tsamardinos:
Using Constraint Optimization for Conflict Resolution and Detail Control in Activity Recognition. AmI 2011: 51-60 - [c31]Angelos P. Armen, Ioannis Tsamardinos:
A unified approach to estimation and control of the False Discovery Rate in Bayesian network skeleton identification. ESANN 2011 - [c30]Giorgos Borboudakis, Sofia Triantafilou, Vincenzo Lagani, Ioannis Tsamardinos:
A constraint-based approach to incorporate prior knowledge in causal models. ESANN 2011 - [c29]Eleni G. Christodoulou, O. D. Røe, Amos Folarin, Ioannis Tsamardinos:
Information-Preserving Techniques Improve Chemosensitivity Prediction of Tumours Based on Expression Profiles. EANN/AIAI (1) 2011: 453-462 - [c28]Lefteris Koumakis, Franco Chiarugi, Vincenzo Lagani, Angelina Kouroubali, Ioannis Tsamardinos:
Risk Assessment Models for Diabetes Complications: A Survey of Available Online Tools. MobiHealth 2011: 46-53 - 2010
- [j11]Vincenzo Lagani, Ioannis Tsamardinos:
Structure-based variable selection for survival data. Bioinform. 26(15): 1887-1894 (2010) - [c27]Ioannis Tsamardinos, Giorgos Borboudakis:
Permutation Testing Improves Bayesian Network Learning. ECML/PKDD (3) 2010: 322-337 - [c26]Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G. Tollis:
Learning Causal Structure from Overlapping Variable Sets. AISTATS 2010: 860-867
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last updated on 2024-04-21 18:30 CEST by the dblp team
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