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- Alina Marcu
aka: Alina Elena Marcu
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Publication search results
found 39 matches
- 2024
- Dragos Costea, Alina Marcu, Cristina Lazar, Marius Leordeanu:
Maia: A Real-time Non-Verbal Chat for Human-AI Interaction. CoRR abs/2402.06385 (2024) - 2023
- Juliane Pfeil, Julienne Siptroth, Heike Pospisil, Marcus Frohme, Frank T. Hufert, Olga Moskalenko, Murad Yateem, Alina S. Nechyporenko:
Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition. Big Data Cogn. Comput. 7(1): 51 (2023) - Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu:
Self-supervised Hypergraphs for Learning Multiple World Interpretations. ICCV (Workshops) 2023: 983-992 - Mihai Cristian Pîrvu, Alina Marcu, Alexandra Dobrescu, Nabil Belbachir, Marius Leordeanu:
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations. ICCV (Workshops) 2023: 3396-3406 - Alina S. Nechyporenko, Marcus Frohme, Vladyslav Omelchenko, Victoriia Alekseeva, Andrii Lupyr, Vitaliy Gargin:
Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning. IDDM 2023: 167-173 - Victoriia Alekseeva, Viktor Reshetnik, Marcus Frohme, Irina Kachailo, Irina Murizyna, Alina S. Nechyporenko:
Investigation of the Impact of Insulin Resistance on the Bone Density of the Upper Wall of the Maxillary Sinus. ProfIT AI 2023: 216-223 - Alexandra Budisteanu, Dragos Costea, Alina Marcu, Marius Leordeanu:
Self-supervised novel 2D view synthesis of large-scale scenes with efficient multi-scale voxel carving. CoRR abs/2306.14709 (2023) - Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Ahmed Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu:
Self-supervised Hypergraphs for Learning Multiple World Interpretations. CoRR abs/2308.07615 (2023) - Mihai Cristian Pîrvu, Alina Marcu, Alexandra Dobrescu, Ahmed Nabil Belbachir, Marius Leordeanu:
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations. CoRR abs/2308.11021 (2023) - 2022
- Juliane Pfeil, Alina S. Nechyporenko, Marcus Frohme, Frank T. Hufert, Katja Schulze:
Examination of blood samples using deep learning and mobile microscopy. BMC Bioinform. 23(1): 65 (2022) - Dmytro Chumachenko, Mykola Butkevych, Daniel Lode, Marcus Frohme, Kurt J. G. Schmailzl, Alina S. Nechyporenko:
Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data. Sensors 22(18): 7033 (2022) - Vlad Licaret, Victor Robu, Alina Marcu, Dragos Costea, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu:
UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation. ICRA 2022: 6526-6532 - Dmytro Chumachenko, Alina S. Nechyporenko, Marcus Frohme:
Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning. IDDM 2022: 78-85 - 2021
- Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. AAAI 2021: 1882-1892 - Mihai Cristian Pîrvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu:
Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning. CVPR Workshops 2021: 3215-3223 - 2020
- Susanne Hollmann, Marcus Frohme, Christoph Endrullat, Andreas Kremer, Domenica D'Elia, Babette Regierer, Alina S. Nechyporenko:
Ten simple rules on how to write a standard operating procedure. PLoS Comput. Biol. 16(9) (2020) - Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu:
Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation. ACCV (1) 2020: 537-552 - Alina Elena Marcu, Robert Alexandru Dobre, Marian Vladescu:
Flicker Free Optical Camera Communication for Cameras Capturing 30 Frames per Second. TSP 2020: 166-169 - Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. CoRR abs/2010.01086 (2020) - Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu:
Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation. CoRR abs/2010.01910 (2020) - Susanne Hollmann, Andreas Kremer, Spela Baebler, Christophe Trefois, Kristina Gruden, Witold R. Rudnicki, Weida Tong, Aleksandra Gruca, Erik Bongcam-Rudloff, Chris T. A. Evelo, Alina S. Nechyporenko, Marcus Frohme, David Safránek, Babette Regierer, Domenica D'Elia:
The need for standardisation in life science research - an approach to excellence and trust. F1000Research 9: 1398 (2020) - 2019
- Ana Barar, Alina Elena Marcu, Paul Schiopu, Marian Vladescu:
Design of an LED-based solar spectrum simulator for porphyrin dye-sensitized solar cell characterization. ECAI 2019: 1-4 - Florina-Violeta Anghel, Alina Elena Marcu, Robert Alexandru Dobre, Ana-Maria Claudia Dragulinescu:
Improved Remote Control System for Analog Audio Mixers Featuring Internet of Things Elements. FABULOUS 2019: 138-145 - Alina Elena Marcu, Robert Alexandru Dobre, Octaviana Datcu, George Suciu, Jeasub Oh:
Flicker Free VLC System with Automatic Code Resynchronization using Low Frame Rate Camera. TSP 2019: 402-405 - Alina Elena Marcu, George Suciu, Elena Olteanu, Delia Miu, Alexandru Drosu, Ioana M. Marcu:
IoT System for Forest Monitoring. TSP 2019: 629-632 - Alina Marcu, Dragos Costea, Vlad Licaret, Marius Leordeanu:
Towards Automatic Annotation for Semantic Segmentation in Drone Videos. CoRR abs/1910.10026 (2019) - 2018
- Dragos Costea, Alina Marcu, Emil Slusanschi, Marius Leordeanu:
Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks With Smoothing-Based Optimization. CVPR Workshops 2018: 220-224 - Alina Marcu, Dragos Costea, Vlad Licaret, Mihai Cristian Pîrvu, Emil Slusanschi, Marius Leordeanu:
SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data. ECCV Workshops (2) 2018: 43-58 - Alina Marcu, Dragos Costea, Emil Slusanschi, Marius Leordeanu:
A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization. CoRR abs/1804.01322 (2018) - 2017
- Alina Elena Marcu, Marius Leordeanu:
Object Contra Context: Dual Local-Global Semantic Segmentation in Aerial Images. AAAI Workshops 2017
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