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Publication search results
found 22 matches
- 2023
- Roberto Molina-Robles, Alfredo Arnaud, Matías R. Miguez, Joel Gak, Alfonso Chacón-Rodríguez, Ronny García-Ramírez:
An Energy Consumption Benchmark for a Low-Power RISC-V Core Aimed at Implantable Medical Devices. IEEE Embed. Syst. Lett. 15(2): 57-60 (2023) - James B. Aimone, Omar Awile, Markus Diesmann, James C. Knight, Thomas Nowotny, Felix Schürmann:
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute. Frontiers Neuroinformatics 17 (2023) - Yuma Tanaka, Jun Ishikawa:
Validation of Feedforward Disturbance Cancellation for the PSS3 HDD Benchmark Problem for Dual Stage Actuators. AIM 2023: 1115-1120 - Mandeep Singh, Viraj Patel, Ritik Kumar, Samrat Nath, Abhishek Mishra:
Machine Learning Driven Performance Benchmarking for Energy Efficiency. AIMLSystems 2023: 30:1-30:7 - Minh Hoang Dang, Julien Aimonier-Davat, Pascal Molli, Olaf Hartig, Hala Skaf-Molli, Yotlan Le Crom:
FedShop: A Benchmark for Testing the Scalability of SPARQL Federation Engines. ISWC 2023: 285-301 - 2022
- Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh:
RuMedBench: A Russian Medical Language Understanding Benchmark. AIME 2022: 383-392 - Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre:
A Benchmark for Compositional Visual Reasoning. NeurIPS 2022 - Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre:
A Benchmark for Compositional Visual Reasoning. CoRR abs/2206.05379 (2022) - 2021
- Adam Pickens, Saptarshi Sengupta:
Benchmarking Studies Aimed at Clustering and Classification Tasks Using K-Means, Fuzzy C-Means and Evolutionary Neural Networks. Mach. Learn. Knowl. Extr. 3(3): 695-719 (2021) - 2020
- Adrien Thabuis, Sean Thomas, Thomas C. Martinez, Yves Perriard:
Shape Memory Effect of Benchmark Compliant Mechanisms Designed With Topology optimization. AIM 2020: 571-576 - Fang Wan, Haokun Wang, Xiaobo Liu, Linhan Yang, Chaoyang Song:
DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation*. AIM 2020: 2011-2018 - 2018
- Bing Zhu, Bart Baesens, Aimée Backiel, Seppe K. L. M. vanden Broucke:
Benchmarking sampling techniques for imbalance learning in churn prediction. J. Oper. Res. Soc. 69(1): 49-65 (2018) - 2017
- Moritz B. Milde, Daniel Neil, Alessandro Aimar, Tobi Delbrück, Giacomo Indiveri:
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation. CoRR abs/1711.04713 (2017) - 2015
- Joonyoung Kim, Elizabeth A. Croft:
A benchmark study on the planning and control of industrial robots with elastic joints. AIM 2015: 1378-1383 - Martha A. Larson, Gareth J. F. Jones, Bogdan Ionescu, Mohammad Soleymani, Guillaume Gravier:
Recording and Analyzing Benchmarking Results: The Aims of the MediaEval Working Notes Proceedings. MediaEval 2015 - 2012
- Artjom Klein, Alexandre Riazanov, Matthew M. Hindle, Christopher J. O. Baker:
Benchmarking infrastructure for mutation text mining. AIMM 2012 - 2010
- Fangzhou Wei, Ali E. Yilmaz:
A Hybrid Parallelization of AIM for Multi-Core Clusters: Implementation Details and Benchmark Results on Ranger. CoRR abs/1010.1456 (2010) - 2009
- Kaimin Zhang, Lu Wang, Xiaolin Guo, Aimin Pan, Bin B. Zhu:
WPBench: a benchmark for evaluating the client-side performance of web 2.0 applications. WWW 2009: 1111-1112 - 2005
- Aurélie Névéol, Vincent Mary, Arnaud Gaudinat, Célia Boyer, Alexandrina Rogozan, Stéfan Jacques Darmoni:
A Benchmark Evaluation of the French MeSH Indexers. AIME 2005: 251-255 - 2004
- Lishan Kang, Aimin Zhou, Robert I. McKay, Yan Li, Zhuo Kang:
Benchmarking algorithms for dynamic travelling salesman problems. IEEE Congress on Evolutionary Computation 2004: 1286-1292 - 2002
- Aimilia Magkanaraki, Sofia Alexaki, Vassilis Christophides, Dimitris Plexousakis:
Benchmarking RDF Schemas for the Semantic Web. ISWC 2002: 132-146 - 2000
- Marvin D. Troutt, Donald W. Gribbin, Murali S. Shanker, Aimao Zhang:
Cost Efficiency Benchmarking for Operational Units with Multiple Cost Drivers. Decis. Sci. 31(4): 813-832 (2000)
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