Sofia Triantafillou
Sofia Triantafillou
Other namesSofia Triantafyllou
University of Crete, University of Pittsburgh, Foundation for Research and Technology - Hellas
Verified email at - Homepage
Cited by
Cited by
Constraint-based causal discovery from multiple interventions over overlapping variable sets
S Triantafillou, I Tsamardinos
The Journal of Machine Learning Research 16 (1), 2147-2205, 2015
Relationship between sleep quality and mood: ecological momentary assessment study
S Triantafillou, S Saeb, EG Lattie, DC Mohr, KP Kording
JMIR mental health 6 (3), e12613, 2019
Learning causal structure from overlapping variable sets
S Triantafillou, I Tsamardinos, I Tollis
Proceedings of the Thirteenth International Conference on Artificial …, 2010
Score-based vs Constraint-based Causal Learning in the Presence of Confounders.
S Triantafillou, I Tsamardinos
Cfa@ uai, 59-67, 2016
Predicting causal relationships from biological data: Applying automated causal discovery on mass cytometry data of human immune cells
S Triantafillou, V Lagani, C Heinze-Deml, A Schmidt, J Tegner, ...
Scientific reports 7 (1), 12724, 2017
Probabilistic computational causal discovery for systems biology
V Lagani, S Triantafillou, G Ball, J Tegnér, I Tsamardinos
Uncertainty in biology: a computational modeling approach, 33-73, 2016
On scoring maximal ancestral graphs with the max–min hill climbing algorithm
K Tsirlis, V Lagani, S Triantafillou, I Tsamardinos
International Journal of Approximate Reasoning 102, 74-85, 2018
Towards integrative causal analysis of heterogeneous data sets and studies
I Tsamardinos, S Triantafillou, V Lagani
The Journal of Machine Learning Research 13 (1), 1097-1157, 2012
Using causal analysis for conceptual deep learning explanation
S Singla, S Wallace, S Triantafillou, K Batmanghelich
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Tuning causal discovery algorithms
K Biza, I Tsamardinos, S Triantafillou
International Conference on Probabilistic Graphical Models, 17-28, 2020
A constraint-based approach to incorporate prior knowledge in causal models.
G Borboudakis, S Triantafilou, V Lagani, I Tsamardinos
ESANN, 2011
Interdisciplinary data science to advance environmental health research and improve birth outcomes
JA Stingone, S Triantafillou, A Larsen, JP Kitt, GM Shaw, J Marsillach
Environmental research 197, 111019, 2021
DAGmaps: Space filling visualization of directed acyclic graphs
V Tsiaras, S Triantafilou, I Tollis
Journal of Graph Algorithms and Applications 13 (3), 319-347, 2009
Learning neighborhoods of high confidence in constraint-based causal discovery
S Triantafillou, I Tsamardinos, A Roumpelaki
Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht …, 2014
Marginal causal consistency in constraint-based causal learning
A Roumpelaki, G Borboudakis, S Triantafillou, I Tsamardinos
Causation: Foundation to Application Workshop, UAI, 2016
Tools and algorithms for causally interpreting directed edges in maximal ancestral graphs
G Borboudakis, S Triantafillou, I Tsamardinos
Sixth European Workshop on Probabilistic Graphical Models, 2012
Out-of-sample tuning for causal discovery
K Biza, I Tsamardinos, S Triantafillou
IEEE Transactions on Neural Networks and Learning Systems, 2022
Causal markov boundaries
S Triantafillou, F Jabbari, G Cooper
arXiv preprint arXiv:2103.07560, 2021
Constraint-based causal discovery from multiple interventions over overlapping variable sets
S Triantafillou, I Tsamardinos
arXiv preprint arXiv:1403.2150, 2014
Learning adjustment sets from observational and limited experimental data
S Triantafillou, G Cooper
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9940-9948, 2021
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