** = Publikationen gelistet in SCI/SSCI/Pubmed
** Del Ser, J; Barredo-Arrieta, A; Díaz-Rodríguez, N; Herrera, F; Saranti, A; Holzinger, A
On generating trustworthy counterfactual explanations
INFORM SCIENCES. 2024; 655: 119898
Doi: 10.1016/j.ins.2023.119898
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** Metsch, JM; Saranti, A; Angerschmid, A; Pfeifer, B; Klemt, V; Holzinger, A; Hauschild, AC
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks.
J Biomed Inform. 2024; 150:104600
Doi: 10.1016/j.jbi.2024.104600
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** Retzlaff, CO; Angerschmid, A; Saranti, A; Schneeberger, D; Röttger, R; Müller, H; Holzinger, A
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
COGN SYST RES. 2024; 86: 101243
Doi: 10.1016/j.cogsys.2024.101243
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** Saranti, A; Pfeifer, B; Gollob, C; Stampfer, K; Holzinger, A
From 3D point-cloud data to explainable geometric deep learning: State-of-the-art and future challenges
WIRES DATA MIN KNOWL. 2024;
Doi: 10.1002/widm.1554
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** Matschinske, J; Späth, J; Bakhtiari, M; Probul, N; Kazemi, Majdabadi, MM; Nasirigerdeh, R; Torkzadehmahani, R; Hartebrodt, A; Orban, BA; Fejér, SJ; Zolotareva, O; Das, S; Baumbach, L; Pauling, JK; Tomašević, O; Bihari, B; Bloice, M; Donner, NC; Fdhila, W; Frisch, T; Hauschild, AC; Heider, D; Holzinger, A; Hötzendorfer, W; Hospes, J; Kacprowski, T; Kastelitz, M; List, M; Mayer, R; Moga, M; Müller, H; Pustozerova, A; Röttger, R; Saak, CC; Saranti, A; Schmidt, HHHW; Tschohl, C; Wenke, NK; Baumbach, J
The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.
J MED INTERNET RES. 2023; 25: e42621
Doi: 10.2196/42621
[OPEN ACCESS]
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** Pfeifer, B; Chereda, H; Martin, R; Saranti, A; Clemens, S; Hauschild, AC; Beißbarth, T; Holzinger, A; Heider, D
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.
Bioinformatics. 2023; 39(11):
Doi: 10.1093/bioinformatics/btad703
[OPEN ACCESS]
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** Holzinger, A; Saranti, A; Angerschmid, A; Finzel, B; Schmid, U; Mueller, H
Toward human-level concept learning: Pattern benchmarking for AI algorithms.
Patterns (N Y). 2023; 4(8): 100788
Doi: 10.1016/j.patter.2023.100788
[OPEN ACCESS]
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** Finzel, B; Saranti, A; Angerschmid, A; Tafler, D; Pfeifer, B; Holzinger, A
Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs (vol 36, pg 271, 2022)
KUNSTL INTELL. 2023;
Doi: 10.1007/s13218-022-00789-z
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** Finzel, B; Saranti, A; Angerschmid, A; Tafler, D; Pfeifer, B; Holzinger, A
Generating Explanations for Conceptual Validation of Graph Neural Networks
KUNSTL INTELL. 2022;
Doi: 10.1007/s13218-022-00781-7
[OPEN ACCESS]
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** Pfeifer, B; Baniecki, H; Saranti, A; Biecek, P; Holzinger, A
Multi-omics disease module detection with an explainable Greedy Decision Forest.
Sci Rep. 2022; 12(1): 16857
Doi: 10.1038/s41598-022-21417-8
[OPEN ACCESS]
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** Pfeifer, B; Saranti, A; Holzinger, A
GNN-SubNet: disease subnetwork detection with explainable graph neural networks.
Bioinformatics. 2022; 38(Supplement_2): ii120-ii126.
Doi: 10.1093/bioinformatics/btac478
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** Saranti, A; Hudec, M; Mináriková, E; Takác̆, Z; Großschedl, U; Koch, C; Pfeifer, B; Angerschmid, A; Holzinger, A
Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning.
Machine Learning and Knowledge Extraction. 2022; 4(4): 924-953.
Doi: 10.3390/make4040047
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** Holzinger, A; Malle, B; Saranti, A; Pfeifer, B
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI
INFORM FUSION. 2021; 71: 28-37.
Doi: 10.1016/j.inffus.2021.01.008
[OPEN ACCESS]
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** Hudec, M; Minarikova, E; Mesiar, R; Saranti, A; Holzinger, A
Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions
KNOWL-BASED SYST. 2021; 220:
Doi: 10.1016/j.knosys.2021.106916
[OPEN ACCESS]
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