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Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

B. Pfeifer, H. Chereda, R. Martin, A. Saranti, S. Clemens, A. Hauschild, T. Beißbarth, A. Holzinger, and D. Heider. Bioinform., (October 2023)

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Heike Anna Brücker

Dirk Annacker

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Quantum Harmonic Oscillator Sonification.A. Saranti, G. Eckel, and D. Pirrò. CMMR/ICAD, volume 5954 of Lecture Notes in Computer Science, page 184-201. Springer, (2009)KANDINSKYPatterns - An experimental exploration environment for Pattern Analysis and Machine Intelligence.A. Holzinger, A. Saranti, and H. Müller. CoRR, (2021)Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI.B. Pfeifer, A. Saranti, and A. Holzinger. CoRR, (2021)Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations.F. Hönigsberger, A. Saranti, A. Angerschmid, C. Retzlaff, C. Gollob, S. Witzmann, A. Nothdurft, P. Kieseberg, A. Holzinger, and K. Stampfer. CD-MAKE, volume 13480 of Lecture Notes in Computer Science, page 362-375. Springer, (2022)Towards Visual Concept Learning and Reasoning: On Insights into Representative Approaches.A. Saranti, S. Streit, H. Müller, D. Singh, and A. Holzinger. ISMIS (Industrial Paper), volume 949 of Studies in Computational Intelligence, page 59-68. Springer, (2020)Explainable AI Methods - A Brief Overview.A. Holzinger, A. Saranti, C. Molnar, P. Biecek, and W. Samek. xxAI@ICML, volume 13200 of Lecture Notes in Computer Science, page 13-38. Springer, (2020)col-LAUT - Colorized point clouds of marked trees collected with Terrestrial and Personal laser scanning from Austrian forest stands.S. Wagner, A. Angerschmid, A. Saranti, C. Gollob, T. Ritter, R. Krassnitzer, A. Tockner, S. Witzmann, A. Holzinger, K. Stampfer and 1 other author(s). (February 2024)Markov Chain and Classification of Difficulty Levels Enhances the Learning Path in One Digit Multiplication.B. Taraghi, A. Saranti, M. Ebner, and M. Schön. HCI (14), volume 8523 of Lecture Notes in Computer Science, page 322-333. Springer, (2014)Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning.A. Saranti, M. Hudec, E. Mináriková, Z. Takác, U. Großschedl, C. Koch, B. Pfeifer, A. Angerschmid, and A. Holzinger. Mach. Learn. Knowl. Extr., 4 (4): 924-953 (December 2022)Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs.B. Finzel, A. Saranti, A. Angerschmid, D. Tafler, B. Pfeifer, and A. Holzinger. Künstliche Intell., 36 (3): 271-285 (2022)

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Disambiguation of "Saranti, Anna"

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Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

Please choose a person to relate this publication to

Heike Anna Brücker

Dirk Annacker

Thomas Annan

Carola Annas

John A Anna Selva

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Saranti, Anna"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

Please choose a person to relate this publication to

Heike Anna Brücker

Dirk Annacker

Thomas Annan

Carola Annas

John A Anna Selva

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.