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Publication search results
found 55 matches
- 2024
- Sarah Farhadpour, Timothy A. Warner, Aaron E. Maxwell:
Selecting and Interpreting Multiclass Loss and Accuracy Assessment Metrics for Classifications with Class Imbalance: Guidance and Best Practices. Remote. Sens. 16(3): 533 (2024) - Milad Aghajohari, Tim Cooijmans, Juan Agustin Duque, Shunichi Akatsuka, Aaron C. Courville:
Best Response Shaping. CoRR abs/2404.06519 (2024) - 2023
- Aaron E. Maxwell, Barry T. Wilson, Justin J. Holgerson, Michelle S. Bester:
Comparing harmonic regression and GLAD Phenology metrics for estimation of forest community types and aboveground live biomass within forest inventory and analysis plots. Int. J. Appl. Earth Obs. Geoinformation 122: 103435 (2023) - Vatsal V. Patel, Minas V. Liarokapis, Aaron M. Dollar:
Open Robot Hardware: Progress, Benefits, Challenges, and Best Practices. IEEE Robotics Autom. Mag. 30(3): 123-148 (2023) - Michelle S. Bester, Aaron E. Maxwell, Isaac Nealey, Michael R. Gallagher, Nicholas S. Skowronski, Brenden E. McNeil:
Synthetic Forest Stands and Point Clouds for Model Selection and Feature Space Comparison. Remote. Sens. 15(18): 4407 (2023) - Paul M. Riek, Aaron N. Best, Amy R. Wu:
Validation of Inertial Sensors to Evaluate Gait Stability. Sensors 23(3): 1547 (2023) - Tayla Razmovski, Aaron Collins, Christofer Bester, Stephen J. O'Leary:
Using Four-Point Impedance to Detect and Locate Blood during Cochlear Implantation. EMBC 2023: 1-4 - 2022
- Aaron E. Maxwell, Michelle S. Bester, Christopher A. Ramezan:
Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning Research and Practice. Remote. Sens. 14(22): 5760 (2022) - Aaron Berk, Yaniv Plan, Özgür Yilmaz:
On the Best Choice of Lasso Program Given Data Parameters. IEEE Trans. Inf. Theory 68(4): 2573-2603 (2022) - Aaron Nicolson, Jason Dowling, Bevan Koopman:
ImageCLEF 2021 Best of Labs: The Curious Case of Caption Generation for Medical Images. CLEF 2022: 190-203 - Mingzi Niu, Sampath Kannan, Aaron Roth, Rakesh Vohra:
Best vs. All: Equity and Accuracy of Standardized Test Score Reporting. FAccT 2022: 574-586 - 2021
- Samuel M. D. Seaver, Filipe Liu, Qizhi Zhang, James G. Jeffryes, José P. Faria, Janaka N. Edirisinghe, Michael B. Mundy, Nicholas Chia, Elad Noor, Moritz Emanuel Beber, Aaron A. Best, Matthew DeJongh, Jeffrey A. Kimbrel, Patrik D'haeseleer, Sean R. McCorkle, Jay R. Bolton, Erik Pearson, Shane Canon, Elisha M. Wood-Charlson, Robert W. Cottingham, Adam P. Arkin, Christopher S. Henry:
The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes. Nucleic Acids Res. 49(Database-Issue): D575-D588 (2021) - Samuel M. D. Seaver, Filipe Liu, Qizhi Zhang, James G. Jeffryes, José P. Faria, Janaka N. Edirisinghe, Michael B. Mundy, Nicholas Chia, Elad Noor, Moritz Emanuel Beber, Aaron A. Best, Matthew DeJongh, Jeffrey A. Kimbrel, Patrik D'haeseleer, Sean R. McCorkle, Jay R. Bolton, Erik Pearson, Shane Canon, Elisha M. Wood-Charlson, Robert W. Cottingham, Adam P. Arkin, Christopher S. Henry:
The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes (Corrigendum). Nucleic Acids Res. 49(Database-Issue): D1555 (2021) - Aaron E. Maxwell, Timothy A. Warner, Luis Andrés Guillén:
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies - Part 2: Recommendations and Best Practices. Remote. Sens. 13(13): 2591 (2021) - Aaron Louis Bramson, Megumi Hori:
The Best Place in Tokyo for Anything: Classifying Stations by Walkability to Specific Amenities. JSAI 2021: 106-117 - Sampath Kannan, Mingzi Niu, Aaron Roth, Rakesh Vohra:
Best vs. All: Equity and Accuracy of Standardized Test Score Reporting. CoRR abs/2102.07809 (2021) - 2020
- Sarah Stang, Aaron Trammell:
The Ludic Bestiary: Misogynistic Tropes of Female Monstrosity in Dungeons & Dragons. Games Cult. 15(6): 730-747 (2020) - Aaron E. Maxwell, Michelle S. Bester, Luis Andrés Guillén, Christopher A. Ramezan, Dennis J. Carpinello, Yiting Fan, Faith M. Hartley, Shannon M. Maynard, Jaimee L. Pyron:
Semantic Segmentation Deep Learning for Extracting Surface Mine Extents from Historic Topographic Maps. Remote. Sens. 12(24): 4145 (2020) - Marina Kogan, Aaron Halfaker, Shion Guha, Cecilia M. Aragon, Michael J. Muller, R. Stuart Geiger:
Mapping Out Human-Centered Data Science: Methods, Approaches, and Best Practices. GROUP (Companion) 2020: 151-156 - Aaron Berk, Yaniv Plan, Özgür Yilmaz:
On the best choice of Lasso program given data parameters. CoRR abs/2010.08884 (2020) - 2019
- Joaquim A. Jorge, Mashhuda Glencross, Aaron Quigley:
ACM Europe Council's best paper awards. Commun. ACM 62(4): 44 (2019) - Kevin Li, Rachel Chen, William Lindsey, Aaron A. Best, Matthew DeJongh, Christopher S. Henry, Nathan L. Tintle:
Implementing and Evaluating A Gaussian Mixture Framework for Identifying Gene Function from TnSeq Data. PSB 2019: 172-183 - 2018
- Adam Wright, Joan S. Ash, Skye Aaron, Angela Ai, Thu-Trang T. Hickman, Jane Wiesen, William L. Galanter, Allison B. McCoy, Richard Schreiber, Christopher A. Longhurst, Dean F. Sittig:
Best practices for preventing malfunctions in rule-based clinical decision support alerts and reminders: Results of a Delphi study. Int. J. Medical Informatics 118: 78-85 (2018) - Aaron M. Bestick, Ravi Pandya, Ruzena Bajcsy, Anca D. Dragan:
Learning Human Ergonomic Preferences for Handovers. ICRA 2018: 1-9 - Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - Anthony J. Bagnall, Aaron Bostrom, Gavin C. Cawley, Michael Flynn, James Large, Jason Lines:
Is rotation forest the best classifier for problems with continuous features? CoRR abs/1809.06705 (2018) - Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.:
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - 2017
- Nathan Bowerman, Nathan L. Tintle, Matthew DeJongh, Aaron A. Best:
Identification and Analysis of Bacterial Genomic Metabolic Signatures. PSB 2017: 3-14 - 2016
- Ninghang Hu, Aaron M. Bestick, Gwenn Englebienne, Ruzena Bajcsy, Ben J. A. Kröse:
Human intent forecasting using intrinsic kinematic constraints. IROS 2016: 787-793 - Aaron M. Bestick, Ruzena Bajcsy, Anca D. Dragan:
Implicitly Assisting Humans to Choose Good Grasps in Robot to Human Handovers. ISER 2016: 341-354
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