The Issues of Teaching English and German for Specific Purposes to the Academic Staff of a Technical University. - Elena Zakharova; Anna Bogdanova; Maria Vitalievna Netesova (ICL (2), 2017)

Hankel subspace method for efficient gesture representation. - Bernardo B. Gatto; Anna Bogdanova; Lincon Sales de Souza; Eulanda Miranda dos Santos (MLSP, 2017)

Franken-swarm: grammatical evolution for the automatic generation of swarm-like meta-heuristics. - Anna Bogdanova; Jair Pereira Junior; Claus Aranha (GECCO (Companion), 2019)

Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. - Ario Sadafi; Niklas Koehler; Asya Makhro; Anna Bogdanova; Nassir Navab; Carsten Marr; Tingying Peng (MICCAI (1), 2019)

Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. - Ario Sadafi; Asya Makhro; Anna Bogdanova; Nassir Navab; Tingying Peng; Shadi Albarqouni; Carsten Marr (MICCAI (5), 2020)

Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. - Anna Bogdanova; Akie Nakai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (CoRR, 2020)

Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. - Ario Sadafi; Lucía María Moya Sans; Asya Makhro; Leonid Livshits; Nassir Navab; Anna Bogdanova; Shadi Albarqouni; Carsten Marr (ISBI, 2021)

Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. - Ario Sadafi; Asya Makhro; Leonid Livshits; Nassir Navab; Anna Bogdanova; Shadi Albarqouni; Carsten Marr (DART/FAIR@MICCAI, 2021)

Accuracy and Privacy Evaluations of Collaborative Data Analysis. - Akira Imakura; Anna Bogdanova; Takaya Yamazoe; Kazumasa Omote; Tetsuya Sakurai (CoRR, 2021)

Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data. - Mitsuteru Abe; Fabio Henrique Kiyoiti dos Santos Tanaka; Jair Pereira Junior; Anna Bogdanova; Tetsuya Sakurai; Claus Aranha (AAMAS, 2022)

Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. - Salome Kazeminia; Ario Sadafi; Asya Makhro; Anna Bogdanova; Shadi Albarqouni; Carsten Marr (MICCAI (8), 2022)

Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. - Anna Bogdanova; Akira Imakura; Tetsuya Sakurai; Tomoya Fujii; Teppei Sakamoto; Hiroyuki Abe (CoRR, 2022)

Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification. - Salome Kazeminia; Ario Sadafi; Asya Makhro; Anna Bogdanova; Carsten Marr; Bastian Rieck (CoRR, 2023)

Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. - Akihiro Mizoguchi; Anna Bogdanova; Akira Imakura; Tetsuya Sakurai (CoRR, 2023)

DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. - Anna Bogdanova; Akira Imakura; Tetsuya Sakurai (Hum. Centric Intell. Syst., 2023)