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Publication search results
found 84 matches
- 2024
- Benjamin Uhrich, Nils Pfeifer, Martin Schäfer, Oliver Theile, Erhard Rahm:
Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing. Appl. Intell. 54(6): 4736-4755 (2024) - Benjamin Uhrich, Tim Häntschel, Martin Schäfer, Erhard Rahm:
Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting. ISAIM 2024: 150-164 - Han Wang, Zhe Fu, Jonathan W. Lee, Hossein Nick Zinat Matin, Arwa Alanqary, Daniel Urieli, Sharon Hornstein, Abdul Rahman Kreidieh, Raphaël Chekroun, William Barbour, William A. Richardson, Dan Work, Benedetto Piccoli, Benjamin Seibold, Jonathan Sprinkle, Alexandre M. Bayen, Maria Laura Delle Monache:
Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic. CoRR abs/2402.16993 (2024) - Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew R. Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew Walter Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphaël Chekroun, Eric Cheng, Maria Teresa Chiri, Fang-Chieh Chou, Ryan Delorenzo, Marsalis T. Gibson, Derek Gloudemans, Anish Gollakota, Junyi Ji, Alexander Keimer, Nour Khoudari, Malaika Mahmood, Mikail Mahmood, Hossein Nick Zinat Matin, Sean T. McQuade, Rabie Ramadan, Daniel Urieli, Xia Wang, Yanbing Wang, Rita Xu, Mengsha Yao, Yiling You, Gergely Zachár, Yibo Zhao, Mostafa Ameli, Mirza Najamuddin Baig, Sarah Bhaskaran, Kenneth Butts, Manasi Gowda, Caroline Janssen, John Lee, Liam Pedersen, Riley Wagner, Zimo Zhang, Chang Zhou, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen:
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs. CoRR abs/2402.17043 (2024) - Benjamin Steenhoek, Md Mahbubur Rahman, Monoshi Kumar Roy, Mirza Sanjida Alam, Earl T. Barr, Wei Le:
A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection. CoRR abs/2403.17218 (2024) - Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury:
Training of Physical Neural Networks. CoRR abs/2406.03372 (2024) - 2023
- Benjamin Adjah Torgbor, Muhammad Moshiur Rahman, James Brinkhoff, Priyakant Sinha, Andrew James Robson:
Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach. Remote. Sens. 15(12): 3075 (2023) - Benjamin Bach, Euan Freeman, Alfie Abdul-Rahman, Cagatay Turkay, Saiful Khan, Yulei Fan, Min Chen:
Dashboard Design Patterns. IEEE Trans. Vis. Comput. Graph. 29(1): 342-352 (2023) - Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung:
CaRT: Certified Safety and Robust Tracking in Learning-Based Motion Planning for Multi-Agent Systems. CDC 2023: 2910-2917 - Benjamin Slowig, Mirjam Blümm, Konrad U. Förstner, Birte Lindstädt, Rabea Müller, Marvin Lanczek:
Der Zertifikatskurs "Forschungsdatenmanagement" als Blaupause für die FDM-bezogene Kompetenzentwicklung im Rahmen der NFDI. CoRDI 2023 - Markus Bauer, Benjamin Uhrich, Martin Schäfer, Oliver Theile, Christoph Augenstein, Erhard Rahm:
Multi-Modal Artificial Intelligence in Additive Manufacturing: Combining Thermal and Camera Images for 3D-Print Quality Monitoring. ICEIS (1) 2023: 539-546 - Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le:
An Empirical Study of Deep Learning Models for Vulnerability Detection. ICSE 2023: 2237-2248 - Cristhian Sanchez, Deepak Pathak, Miro Miranda, Marcela Charfuelan, Patrick Helber, Marlon Nuske, Benjamin Bischke, Peter Habelitz, Nafisur Rahman, Francisco Alejandro Mena, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Andreas Dengel:
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. IGARSS 2023: 4852-4855 - Benjamin Uhrich, Nikolai Hlubek, Tim Häntschel, Erhard Rahm:
Using differential equation inspired machine learning for valve faults prediction. INDIN 2023: 1-8 - Yuqing Dong, Yi Zhao, Khaled Alshuaibi, Chengwen Zhang, Yilu Liu, Lin Zhu, Evangelos Farantatos, Kaiqi Sun, Benjamin Marshall, Md Rahman, Oluwole Adeuyi, Simon Marshall, Ian L. Cowan:
Adaptive Power Oscillation Damping Control via VSC- HVDC for the Great Britain Power Grid. ISGT 2023: 1-5 - Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung:
CART: Collision Avoidance and Robust Tracking Augmentation in Learning-based Motion Planning for Multi-Agent Systems. CoRR abs/2307.08602 (2023) - Po-Jui Lu, Benjamin Odry, Muhamed Barakovic, Matthias Weigel, Robin Sandkühler, Reza Rahmanzadeh, Xinjie Chen, Mario Ocampo-Pineda, Jens Kuhle, Ludwig Kappos, Philippe C. Cattin, Cristina Granziera:
GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis. CoRR abs/2308.07611 (2023) - Benjamin Steenhoek, Md Mahbubur Rahman, Shaila Sharmin, Wei Le:
Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection. CoRR abs/2311.04109 (2023) - 2022
- Benjamín Vega, Claudia Rahmann, Ricardo Álvarez, Vijay Vittal:
Determination of Control Requirements to Impose on CIG for Ensuring Frequency Stability of Low Inertia Power Systems. IEEE Access 10: 44891-44908 (2022) - Blake VanBerlo, Derek Wu, Brian Li, Marwan A. Rahman, Gregory Hogg, Bennett VanBerlo, Jared Tschirhart, Alex Ford, Jordan Ho, Joseph McCauley, Benjamin Wu, Jason Deglint, Jaswin Hargun, Rushil Chaudhary, Chintan Dave, Robert Arntfield:
Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach. Comput. Biol. Medicine 148: 105953 (2022) - Saiful Khan, Phong Hai Nguyen, Alfie Abdul-Rahman, Benjamin Bach, Min Chen, Euan Freeman, Cagatay Turkay:
Propagating Visual Designs to Numerous Plots and Dashboards. IEEE Trans. Vis. Comput. Graph. 28(1): 86-95 (2022) - Alexandra Diehl, Alfie Abdul-Rahman, Benjamin Bach, Mennatallah El-Assady, Matthias Kraus, Robert S. Laramee, Min Chen:
Characterizing Grounded Theory Approaches in Visualization. CoRR abs/2203.01777 (2022) - Jason Dykes, Alfie Abdul-Rahman, Daniel Archambault, Benjamin Bach, Rita Borgo, Min Chen, Jessica A. Enright, Hui Fang, Elif E. Firat, Euan Freeman, Tuna Gonen, Claire Harris, Radu Jianu, Nigel W. John, Saiful Khan, Andrew Lahiff, Robert S. Laramee, Louise Matthews, Sibylle Mohr, Phong Hai Nguyen, Alma A. M. Rahat, Richard E. Reeve, Panagiotis D. Ritsos, Jonathan C. Roberts, Aidan Slingsby, Ben Swallow, Thomas Torsney-Weir, Cagatay Turkay, Robert Turner, Franck P. Vidal, Qiru Wang, Jo Wood, Kai Xu:
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations. CoRR abs/2204.06946 (2022) - Benjamin Bach, Euan Freeman, Alfie Abdul-Rahman, Cagatay Turkay, Saiful Khan, Yulei Fan, Min Chen:
Dashboard Design Patterns. CoRR abs/2205.00757 (2022) - Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le:
An Empirical Study of Deep Learning Models for Vulnerability Detection. CoRR abs/2212.08109 (2022) - 2021
- Nur Shifa Farah Ain Jamil, Syariza Abdul-Rahman, Martino Luis, Aida Mauziah Benjamin:
Hybrid Cell Selection-based Heuristic for capacitated multi-facility Weber problem with continuous fixed costs. RAIRO Oper. Res. 55(3): 2055-2068 (2021) - Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia, Ruslan Salakhutdinov, Abdelrahman Mohamed:
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3451-3460 (2021) - Wei-Ning Hsu, Yao-Hung Hubert Tsai, Benjamin Bolte, Ruslan Salakhutdinov, Abdelrahman Mohamed:
Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training? ICASSP 2021: 6533-6537 - Chris B. Kliros, Niroj Gumiig, Benjamin Kregel, Liuxi Calvin Zhang, Muhidin Dino Lelic, Patrick P. Chavez, Famoosh Rahmatian, Farid Katiraei:
Sensors with Intelligent Measurement Platform and Low-cost Equipment (SIMPLE)-Performance Characterization. ISGT 2021: 1-5 - Kia Rahmani, Kartik Nagar, Benjamin Delaware, Suresh Jagannathan:
Repairing serializability bugs in distributed database programs via automated schema refactoring. PLDI 2021: 32-47
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