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Anna Bogdanova
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2020 – today
- 2023
- [j1]Anna Bogdanova
, Akira Imakura, Tetsuya Sakurai:
DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. Hum. Centric Intell. Syst. 3(3): 197-210 (2023) - [i9]Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Carsten Marr, Bastian Rieck
Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification. CoRR abs/2307.14025 (2023) - [i8]Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura, Tetsuya Sakurai:
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. CoRR abs/2308.00280 (2023) - 2022
- [c9]Mitsuteru Abe, Fabio Henrique Kiyoiti dos Santos Tanaka, Jair Pereira Junior, Anna Bogdanova, Tetsuya Sakurai, Claus Aranha:
Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data. AAMAS 2022: 1-8 - [c8]Salome Kazeminia, Ario Sadafi, Asya Makhro
Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. MICCAI (8) 2022: 341-350 - [i7]Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Anomaly-aware multiple instance learning for rare anemia disorder classification. CoRR abs/2207.01742 (2022) - [i6]Anna Bogdanova, Akira Imakura, Tetsuya Sakurai, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe:
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. CoRR abs/2212.03373 (2022) - 2021
- [c7]Ario Sadafi, Lucía María Moya Sans, Asya Makhro
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. ISBI 2021: 966-970 - [c6]Ario Sadafi, Asya Makhro
Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. DART/FAIR@MICCAI 2021: 216-225 - [i5]Akira Imakura, Anna Bogdanova, Takaya Yamazoe, Kazumasa Omote, Tetsuya Sakurai:
Accuracy and Privacy Evaluations of Collaborative Data Analysis. CoRR abs/2101.11144 (2021) - [i4]Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. CoRR abs/2103.09671 (2021) - [i3]Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks. CoRR abs/2109.05372 (2021) - 2020
- [c5]Ario Sadafi, Asya Makhro
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. MICCAI (5) 2020: 246-256 - [i2]Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr:
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders. CoRR abs/2007.11641 (2020) - [i1]Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. CoRR abs/2011.06803 (2020)
2010 – 2019
- 2019
- [c4]Anna Bogdanova, Jair Pereira Junior, Claus Aranha:
Franken-swarm: grammatical evolution for the automatic generation of swarm-like meta-heuristics. GECCO (Companion) 2019: 411-412 - [c3]Ario Sadafi, Niklas Koehler, Asya Makhro
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. MICCAI (1) 2019: 685-693 - 2017
- [c2]Elena Zakharova, Anna Bogdanova, Maria Vitalievna Netesova:
The Issues of Teaching English and German for Specific Purposes to the Academic Staff of a Technical University. ICL (2) 2017: 776-782 - [c1]Bernardo B. Gatto
Hankel subspace method for efficient gesture representation. MLSP 2017: 1-6
Coauthor Index
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