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Publication search results
found 86 matches
- 2024
- Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez:
VASIM: Vertical Autoscaling Simulator Toolkit. ICDE 2024: 5413-5416 - Joyce Mahon, Brian Mac Namee, Brett A. Becker:
Guidelines for the Evolving Role of Generative AI in Introductory Programming Based on Emerging Practice. ITiCSE (1) 2024 - Anna Pavlenko, Joyce Cahoon, Yiwen Zhu, Brian Kroth, Michael Nelson, Andrew Carter, David Liao, Travis Wright, Jesús Camacho-Rodríguez, Karla Saur:
Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud. SIGMOD Conference Companion 2024: 241-254 - Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. CoRR abs/2405.01813 (2024) - 2023
- Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce E. Farrell, Brian A. Wandell:
Using simulation to quantify the performance of automotive perception systems. Autonomous Vehicles and Machines 2023: 1-8 - Sudi Murindanyi, Brian Afedra Yiiki, Andrew Katumba, Joyce Nakatumba-Nabende:
Explainable Machine Learning Models for Swahili News Classification. NLPIR 2023: 12-18 - Wei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Lei Cao, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert G. Greenberg, Manish Gupta, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Ankit Kumar, Erica Lan, Ivan Lee, Avi Levy, Marina Lipshteyn, Xin Liu, Chen Liu, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Ying Xie, Joyce Yom, Lihua Yuan, Yanzhao Zhang, Brian Zill:
Empowering Azure Storage with RDMA. NSDI 2023: 49-67 - Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion 2023: 217-224 - Joyce Mahon, Brian Mac Namee, Brett A. Becker:
No More Pencils No More Books: Capabilities of Generative AI on Irish and UK Computer Science School Leaving Examinations. UKICER 2023: 2:1-2:7 - Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce E. Farrell, Brian A. Wandell:
Using simulation to quantify the performance of automotive perception systems. CoRR abs/2303.00983 (2023) - Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann:
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR abs/2305.17300 (2023) - 2022
- Joyce Mahon, Brett A. Becker, Brian Mac Namee:
AI and ML in School Level Computing Education: Who, What and Where? AICS 2022: 201-213 - Raphael Norman-Tenazas, Brian S. Robinson, Justin Joyce, Isaac Western, Erik C. Johnson, William R. Gray Roncal, Joan A. Hoffmann:
Continuous State Estimation With Synapse-constrained Connectivity. IJCNN 2022: 1-9 - Joyce Mahon, Keith Quille, Brian Mac Namee, Brett A. Becker:
A Novel Machine Learning and Artificial Intelligence Course for Secondary School Students. SIGCSE (2) 2022: 1155 - Thomas Goossens, Zheng Lyu, Jamyuen Ko, Gordon Wan, Joyce E. Farrell, Brian A. Wandell:
Ray-transfer functions for camera simulation of 3D scenes with hidden lens design. CoRR abs/2202.08880 (2022) - 2021
- Zhenyi Liu, Joyce E. Farrell, Brian A. Wandell:
ISETAuto: Detecting Vehicles With Depth and Radiance Information. IEEE Access 9: 41799-41808 (2021) - Joan Devin, Joyce Costello, Naomi McCallion, Eavan Higgins, Brian Kehoe, Brian J. Cleary, Shane Cullinan:
Impact of an electronic health record on task time distribution in a neonatal intensive care unit. Int. J. Medical Informatics 145: 104307 (2021) - Zheng Lyu, Krithin Kripakaran, Max Furth, Eric Tang, Brian A. Wandell, Joyce E. Farrell:
Validation of image systems simulation technology using a Cornell Box. Imaging Sensors and Systems 2021: 1-7 - Timothy Adamson, Debasmita Ghose, Shannon C. Yasuda, Lucas Jehu Silva Shepard, Michal A. Lewkowicz, Joyce Duan, Brian Scassellati:
Why We Should Build Robots That Both Teach and Learn. HRI 2021: 187-196 - Zhenyi Liu, Joyce E. Farrell, Brian A. Wandell:
ISETAuto: Detecting vehicles with depth and radiance information. CoRR abs/2101.01843 (2021) - Zheng Lyu, Krithin Kripakaran, Max Furth, Eric Tang, Brian A. Wandell, Joyce E. Farrell:
Validation of image systems simulation technology using a Cornell Box. CoRR abs/2105.04106 (2021) - 2020
- Zhenyi Liu, Trisha Lian, Joyce E. Farrell, Brian A. Wandell:
Neural Network Generalization: The Impact of Camera Parameters. IEEE Access 8: 10443-10454 (2020) - R. Brian Jenkins, Peter Joyce, Adam Kong, Charles Nelson:
Discerning Localized Thermal Heating from Mechanical Strain Using an Embedded Distributed Optical Fiber Sensor Network. Sensors 20(9): 2583 (2020) - Henryk Blasinski, Joyce E. Farrell, Brian A. Wandell:
Simultaneous Surface Reflectance and Fluorescence Spectra Estimation. IEEE Trans. Image Process. 29: 8791-8804 (2020) - Joyce E. Farrell, Zheng Lyu, Zhenyi Liu, Henryk Blasinski, Zhihao Xu, Jian Rong, Feng Xiao, Brian A. Wandell:
Soft-prototyping imaging systems for oral cancer screening. Imaging Sensors and Systems 2020: 1-7 - Dinusha Vatsalan, Joyce Yu, Wilko Henecka, Brian Thorne:
Fairness-Aware Privacy-Preserving Record Linkage. DPM/CBT@ESORICS 2020: 3-18 - Dinusha Vatsalan, Joyce Yu, Brian Thorne, Wilko Henecka:
P-Signature-Based Blocking to Improve the Scalability of Privacy-Preserving Record Linkage. DPM/CBT@ESORICS 2020: 35-51 - Joyce Yu, Jakub Nabaglo, Dinusha Vatsalan, Wilko Henecka, Brian Thorne:
Hyper-Parameter Optimization for Privacy-Preserving Record Linkage. PKDD/ECML Workshops 2020: 281-296 - 2019
- David R. Damerell, Claire Strain-Damerell, Sefa Garsot, Stephen P. Joyce, Paul Barrett, Brian D. Marsden:
SATurn: a modular bioinformatics framework for the design of robust maintainable web-based and standalone applications. Bioinform. 35(2): 349-351 (2019) - Michael J. Ross, R. Brian Jenkins, Charles Nelson, Peter Joyce:
High Temperature Effects during High Energy Laser Strikes on Embedded Fiber Bragg Grating Sensors. Sensors 19(6): 1432 (2019)
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