Algorithms for Extracting Mental Activity Phases from Heart Beat Rate Streams. - Alina Dubatovka; Elena Mikhailova; Mikhail Zotov; Boris Novikov 001 (DB&IS, 2016)

Adaptive Techniques for Extracting Mental Activity Phases from Heart Beat Rate Streams. - Alina Dubatovka; Elena Mikhailova; Mikhail Zotov; Boris Novikov 001 (DB&IS (Selected Papers), 2016)

What Do You Mean Exactly?: Analyzing Clarification Questions in CQA. - Pavel Braslavski 001; Denis Savenkov; Eugene Agichtein; Alina Dubatovka (CHIIR, 2017)

Exact information propagation through fully-connected feed forward neural networks. - Rebekka Burkholz; Alina Dubatovka (CoRR, 2018)

Initialization of ReLUs for Dynamical Isometry. - Rebekka Burkholz; Alina Dubatovka (NeurIPS, 2019)

Ranking architectures using meta-learning. - Alina Dubatovka; Efi Kokiopoulou; Luciano Sbaiz; Andrea Gesmundo; Gábor Bartók; Jesse Berent (CoRR, 2019)

DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds. - Fabian Laumer; Gabriel Fringeli; Alina Dubatovka; Laura Manduchi; Joachim M. Buhmann (ML4H@NeurIPS, 2020)

Gated Domain Units for Multi-source Domain Generalization. - Simon Föll; Alina Dubatovka; Eugen Ernst; Martin Maritsch; Patrik Okanovic; Gudrun Thäter; Joachim M. Buhmann; Felix Wortmann; Krikamol Muandet (CoRR, 2022)

Weakly supervised inference of personalized heart meshes based on echocardiography videos. - Fabian Laumer; Mounir Amrani; Laura Manduchi; Ami Beuret; Lena Rubi; Alina Dubatovka; Christian M. Matter; Joachim M. Buhmann (Medical Image Anal., 2023)

Gated Domain Units for Multi-source Domain Generalization. - Simon Föll; Alina Dubatovka; Eugen Ernst; Siu Lun Chau; Martin Maritsch; Patrik Okanovic; Gudrun Thäter; Joachim M. Buhmann; Felix Wortmann; Krikamol Muandet (Trans. Mach. Learn. Res., 2023)

Interpretable and robust Machine Learning models for time-series analysis in cardiology. - Alina Dubatovka (2024)