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- Andrew C. Eberhard
- Andreas Eberhardt
- André Eberhardt
aka: André Luis dos Santos Eberhardt - Andrea Eberhard
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Publication search results
found 181 matches
- 2024
- Hassan Yassine, Christian Weber, Andre Eberhardt, Mahmoud El-Safoury, Jürgen Wöllenstein, Katrin Schmitt
:
Detection of SO2F2 Using a Photoacoustic Two-Chamber Approach. Sensors 24(1): 191 (2024) - Lien Thuy Nguyen, Andrew C. Eberhard
, Xinghuo Yu
, Chaojie Li:
Fast Gradient Algorithm with Dry-like Friction and Nonmonotone Line Search for Nonconvex Optimization Problems. SIAM J. Optim. 34(3): 2557-2587 (2024) - Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier:
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks. Bildverarbeitung für die Medizin 2024: 160-165 - Andreas Grapentin, Felix Eberhardt, Tobias Zagorni, Andreas Polze, Michele Gazzetti, Christian Pinto:
Zero-Copy, Minimal-Blackout Virtual Machine Migrations Using Disaggregated Shared Memory. PARMA-DITAM 2024: 3:1-3:13 - Luis A. Pabon, Johannes Köhler
, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone:
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). CoRR abs/2404.01550 (2024) - Philip Groet, Joost Hoozemans, Andreas Grapentin, Felix Eberhardt, Zaid Al-Ars, H. Peter Hofstee:
Leveraging Apache Arrow for Zero-copy, Zero-serialization Cluster Shared Memory. CoRR abs/2404.03030 (2024) - Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang:
Adaptive Stabilization Based on Machine Learning for Column Generation. CoRR abs/2405.11198 (2024) - 2023
- Jeffrey Christiansen, Brian C. Dandurand
, Andrew C. Eberhard
, Fabricio Oliveira:
A study of progressive hedging for stochastic integer programming. Comput. Optim. Appl. 86(3): 989-1034 (2023) - Max Plauth
, Felix Eberhardt, Andreas Grapentin, Andreas Polze:
Improving the accessibility of NUMA-aware C++ application development based on the PGASUS framework. Concurr. Comput. Pract. Exp. 35(14) (2023) - Yunzhuang Shen
, Yuan Sun
, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
:
Adaptive solution prediction for combinatorial optimization. Eur. J. Oper. Res. 309(3): 1392-1408 (2023) - Henrik Kortum
, Simon Hagen, Marian Eleks
, Jonas Rebstadt
, Florian Remark, Maximilian Lowin
, Cristina Mihale-Wilson
, Birgid Eberhardt, Andree Roß, Dominik Maihöfner, Oliver Hinz, Oliver Thomas:
SECAI - Sustainable Heating through Edge-Cloud-based AI Systems. HMD Prax. Wirtsch. 60(4): 850-871 (2023) - Shuai Liu, Andrew C. Eberhard, Yousong Luo:
A Version of Bundle Trust Region Method with Linear Programming. J. Optim. Theory Appl. 199(2): 639-662 (2023) - Thai Doan Chuong
, Xinghuo Yu
, Andrew C. Eberhard
, Chaojie Li
, Chen Liu
:
Convergences for robust bilevel polynomial programmes with applications. Optim. Methods Softw. 38(5): 975-1008 (2023) - Lien Thuy Nguyen
, Xinghuo Yu
, Andrew C. Eberhard
, Chaojie Li
:
Fixed-Time Gradient Dynamics With Time-Varying Coefficients for Continuous-Time Optimization. IEEE Trans. Autom. Control. 68(7): 4383-4390 (2023) - Linzhe Cai, Chen Liu, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard:
Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow. ADC 2023: 183-196 - Andreas Grapentin, Felix Eberhardt, Andreas Polze:
SMOG - An Explicitly Composable Memory Benchmark Suite for Heterogeneous Memory. candar 2023: 113-119 - Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas Maier:
Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples. ISBI 2023: 1-5 - Kay Schröder, Wiebke Eberhardt, Poornima Belavadi, Batoul Ajdadilish, Nanette van Haften, Ed Overes, Taryn Brouns, André Calero Valdez:
Telling stories with data - A systematic review. CoRR abs/2312.01164 (2023) - Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier:
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks. CoRR abs/2312.15825 (2023) - 2022
- Tiago Andrade
, Nikita Belyak
, Andrew C. Eberhard
, Silvio Hamacher
, Fabricio Oliveira
:
The p-Lagrangian relaxation for separable nonconvex MIQCQP problems. J. Glob. Optim. 84(1): 43-76 (2022) - Tim Krake
, Andrés Bruhn, Bernhard Eberhardt
, Daniel Weiskopf:
Efficient and Robust Background Modeling with Dynamic Mode Decomposition. J. Math. Imaging Vis. 64(4): 364-378 (2022) - Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. AAAI 2022: 9926-9934 - Linzhe Cai
, Xinghuo Yu
, Chaojie Li
, Andrew C. Eberhard
, Lien Thuy Nguyen
, Thai Doan Chuong
:
Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning. AI 2022: 131-144 - Luis Carlos Rivera Monroy, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Andreas K. Maier:
Melanoma Segmentation and Classification Employing Imaging and Graph Encodings. CHASE 2022: 144-145 - Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi
, Chen Zhou, Chen Shao, Houssam Metni, Clint van Hoesel, Henrik Schopmans, Timo Sommer, Pascal Friederich:
Graph neural networks for materials science and chemistry. CoRR abs/2208.09481 (2022) - Luis Carlos Rivera Monroy
, Leonhard Rist, Martin Eberhardt
, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas K. Maier:
Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples. CoRR abs/2211.05884 (2022) - André Eberhard, Houssam Metni, Georg Fahland, Alexander Stroh, Pascal Friederich:
Actively Learning Costly Reward Functions for Reinforcement Learning. CoRR abs/2211.13260 (2022) - 2021
- Ernö Robert Csetnek, Andrew C. Eberhard, Matthew K. Tam:
Convergence rates for boundedly regular systems. Adv. Comput. Math. 47(5): 62 (2021) - Milad Malekipirbazari
, Vural Aksakalli, Waleed Shafqat, Andrew C. Eberhard:
Performance comparison of feature selection and extraction methods with random instance selection. Expert Syst. Appl. 179: 115072 (2021) - Jérôme Eberhardt, Diogo Santos-Martins
, Andreas F. Tillack
, Stefano Forli
:
AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings. J. Chem. Inf. Model. 61(8): 3891-3898 (2021)
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