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- John Harrison 0001
aka: John R. Harrison
Amazon Web Services, Portland, OR, USA
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Publication search results
found 225 matches
- 2024
- Tennessee Leeuwenburg, Nicholas Loveday, Elizabeth E. Ebert, Harrison Cook, Mohammadreza Khanarmuei, Robert J. Taggart, Nikeeth Ramanathan, Maree Carroll, Stephanie Chong, Aidan Griffiths, John Sharples:
scores: A Python package for verifying and evaluating models and predictions with xarray. J. Open Source Softw. 9(99): 6889 (2024) - John Delaney, Badih Ghazi, Charlie Harrison, Christina Ilvento, Ravi Kumar, Pasin Manurangsi, Martin Pál, Karthik Prabhakar, Mariana Raykova:
Differentially Private Ad Conversion Measurement. Proc. Priv. Enhancing Technol. 2024(2): 124-140 (2024) - Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T. Parisi, Abhishek Kumar, Alexander A. Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel:
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. Trans. Mach. Learn. Res. 2024 (2024) - Darren Rowe, Willie K. Harrison, John L. Salmon:
The Two-Point Dilemma: Does Going for Two Win Close Football Games? ISACE 2024: 190-201 - Darren Rowe, John L. Salmon, Willie K. Harrison:
How to Analyze Coaching: This is the WAE. ISACE 2024: 202-215 - Parisis Gallos, Nicholas Matragkas, Saif ul Islam, Gregory Epiphaniou, Scott Hansen, Stuart Harrison, Marcel R. Haas, Giorgos Pappous, Simon Brouwer, Francesco Torlontano, Saadullah Farooq Abbasi, Omid Pournik, James Churm, John Mantas, Carlos Luis Parra Calderón, Dimitrios Petkousis, Patrick Weber, Benjamin Dzingina, Chokri Mraidha, Carsten Maple, Jim Achterberg, Marco Spruit, Evi Saratsioti, Younes Moustaghfir, Theodoros N. Arvanitis:
INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support. MIE 2024: 1193-1197 - John Delaney, Badih Ghazi, Charlie Harrison, Christina Ilvento, Ravi Kumar, Pasin Manurangsi, Martin Pal, Karthik Prabhakar, Mariana Raykova:
Differentially Private Ad Conversion Measurement. CoRR abs/2403.15224 (2024) - Harrison Delecki, Marc R. Schlichting, Mansur Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel J. Kochenderfer:
Diffusion-Based Failure Sampling for Cyber-Physical Systems. CoRR abs/2406.14761 (2024) - 2023
- Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes:
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics 139: 104306 (2023) - Adam Frankish, Silvia Carbonell Sala, Mark Diekhans, Irwin Jungreis, Jane E. Loveland, Jonathan M. Mudge, Cristina Sisu, James C. Wright, Carme Arnan, If Barnes, Abhimanyu Banerjee, Ruth Bennett, Andrew E. Berry, Alexandra Bignell, Carles Boix, Ferriol Calvet Riera, Daniel Cerdán-Vélez, Fiona Cunningham, Claire Davidson, Sarah M. Donaldson, Cagatay Dursun, Reham Fatima, Stefano Giorgetti, Carlos García-Girón, Jose M. Gonzalez, Matthew Hardy, Peter W. Harrison, Thibaut Hourlier, Zoe Hollis, Toby Hunt, Benjamin James, Yunzhe Jiang, Rory Johnson, Mike P. Kay, Julien Lagarde, Fergal J. Martin, Laura Martínez Gómez, Surag Nair, Pengyu Ni, Fernando Pozo, Vivek Ramalingam, Magali Ruffier, Bianca M. Schmitt, Jacob M. Schreiber, Emily Steed, Marie-Marthe Suner, Dulika Sumathipala, Irina Sycheva, Barbara Uszczynska-Ratajczak, Elizabeth Wass, Yucheng T. Yang, Andrew D. Yates, Zahoor Zafrulla, Jyoti Choudhary, Mark Gerstein, Roderic Guigó, Tim J. P. Hubbard, Manolis Kellis, Anshul Kundaje, Benedict Paten, Michael L. Tress, Paul Flicek:
GENCODE: reference annotation for the human and mouse genomes in 2023. Nucleic Acids Res. 51(D1): 942-949 (2023) - Jeffrey C. Hoch, Kumaran Baskaran, Harrison Burr, John Chin, Hamid R. Eghbalnia, Toshimichi Fujiwara, Michael R. Gryk, Takeshi Iwata, Chojiro Kojima, Genji Kurisu, Dimitri Maziuk, Yohei Miyanoiri, Jonathan R. Wedell, Colin Wilburn, Hongyang Yao, Masashi Yokochi:
Biological Magnetic Resonance Data Bank. Nucleic Acids Res. 51(D1): 368-376 (2023) - Fergal J. Martin, M. Ridwan Amode, Alisha Aneja, Olanrewaju Austine-Orimoloye, Andrey G. Azov, If Barnes, Arne Becker, Ruth Bennett, Andrew E. Berry, Jyothish Bhai, Simarpreet Kaur Bhurji, Alexandra Bignell, Sanjay Boddu, Paulo R. B. Lins, Lucy Brooks, Shashank Budhanuru Ramaraju, Mehrnaz Charkhchi, Alexander Cockburn, Luca Da Rin Fioretto, Claire Davidson, Kamalkumar Jayantilal Dodiya, Sarah M. Donaldson, Bilal El Houdaigui, Tamara El Naboulsi, Reham Fatima, Carlos García-Girón, Thiago Augusto Lopes Genez, Gurpreet S. Ghattaoraya, Jose Gonzalez Martinez, Cristi Guijarro, Matthew Hardy, Zoe Hollis, Thibaut Hourlier, Toby Hunt, Mike P. Kay, Vinay Kaykala, Tuan Le, Diana Lemos, Diego Marques-Coelho, José Carlos Marugán, Gabriela Alejandra Merino, Louisse Paola Mirabueno, Aleena Mushtaq, Syed Nakib Hossain, Denye N. Ogeh, Manoj Pandian Sakthivel, Anne Parker, Malcolm Perry, Ivana Pilizota, Irina Prosovetskaia, José G. Pérez-Silva, Ahamed Imran Abdul Salam, Nuno Saraiva-Agostinho, Helen Schuilenburg, Dan Sheppard, Swati Sinha, Botond Sipos, William Stark, Emily Steed, Ranjit Sukumaran, Dulika Sumathipala, Marie-Marthe Suner, Likhitha Surapaneni, Kyösti Sutinen, Michal Szpak, Francesca Floriana Tricomi, David Urbina-Gómez, Andres Veidenberg, Thomas A. Walsh, Brandon Walts, Elizabeth Wass, Natalie L. Willhoft, Jamie Allen, Jorge Álvarez-Jarreta, Marc Chakiachvili, Bethany Flint, Stefano Giorgetti, Leanne Haggerty, Garth R Ilsley, Jane E. Loveland, Benjamin Moore, Jonathan M. Mudge, John G. Tate, David Thybert, Stephen J. Trevanion, Andrea Winterbottom, Adam Frankish, Sarah E. Hunt, Magali Ruffier, Fiona Cunningham, Sarah Dyer, Robert D. Finn, Kevin L. Howe, Peter W. Harrison, Andrew D. Yates, Paul Flicek:
Ensembl 2023. Nucleic Acids Res. 51(D1): 933-941 (2023) - James Blundell, Charlotte Collins, Rod Sears, Tassos Plioutsias, John Huddlestone, Don Harris, James Harrison, Anthony Kershaw, Paul Harrison, Phil Lamb:
Multivariate Analysis of Gaze Behavior and Task Performance Within Interface Design Evaluation. IEEE Trans. Hum. Mach. Syst. 53(5): 875-884 (2023) - Priya Narayanan, Xin Hu, Zhenyu Wu, Matthew D. Thielke, John G. Rogers, Andre V. Harrison, John A. D'Agostino, James D. Brown, Long P. Quang, James R. Uplinger, Heesung Kwon, Zhangyang Wang:
A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth. IEEE Trans. Image Process. 32: 3481-3492 (2023) - Daniel Harrison, Scarlett Rowland, Gavin Wood, Lyndsey L. Bakewell, Ioannis Petridis, Kiel Long, Konstantina Vasileiou, Julie Barnett, Manuela Barreto, Michael Wilson, Shaun W. Lawson, John Vines:
Designing Technology-Mediated Peer Support for Postgraduate Research Students at Risk of Loneliness and Isolation. ACM Trans. Comput. Hum. Interact. 30(1): 1-40 (2023) - Harrison P. Lee, Nelson Sepúlveda-Ramos, Jeffrey W. Teng, Jackson P. Moody, Delgermaa Nergui, Brett L. Ringel, Zachary R. Brumbach, Alizeh Premani, Uppili S. Raghunathan, Vibhor Jain, John D. Cressler:
The Effects of Carbon Doping on the Performance and Electrical Reliability of SiGe HBTs. BCICTS 2023: 253-256 - Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer:
Deep Normalizing Flows for State Estimation. FUSION 2023: 1-6 - Jesse Milzman, Andre V. Harrison, Carlos Nieto-Granda, John G. Rogers III:
Measuring Multi-Source Redundancy in Factor Graphs. FUSION 2023: 1-8 - Catherine Feldman, Smeet Chheda, Alan C. Calder, Eva Siegmann, John Dey, Tony Curtis, Robert J. Harrison:
A Further Study of Linux Kernel Hugepages on A64FX with FLASH, an Astrophysical Simulation Code. PEARC 2023: 186-195 - Jesse Milzman, Andre V. Harrison, Carlos Nieto-Granda, John G. Rogers III:
Measuring Multi-Source Redundancy in Factor Graphs. CoRR abs/2303.07105 (2023) - Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer:
Deep Normalizing Flows for State Estimation. CoRR abs/2306.15605 (2023) - Catherine Feldman, Smeet Chheda, Alan C. Calder, Eva Siegmann, John Dey, Tony Curtis, Robert J. Harrison:
A Further Study of Linux Kernel Hugepages on A64FX with FLASH, an Astrophysical Simulation Code. CoRR abs/2309.04652 (2023) - Alan C. Calder, Eva Siegmann, Catherine Feldman, Smeet Chheda, Dennis C. Smolarski, F. Douglas Swesty, Anthony Curtis, John Dey, David Carlson, Benjamin Michalowicz, Robert J. Harrison:
Ookami: An A64FX Computing Resource. CoRR abs/2311.04259 (2023) - Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron Parisi, Abhishek Kumar, Alex Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin F. Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel:
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. CoRR abs/2312.06585 (2023) - 2022
- Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - Gavin Harrison, Jeremy Johnson, B. David Saunders:
Probabilistic analysis of block Wiedemann for leading invariant factors. J. Symb. Comput. 108: 98-116 (2022) - Fiona Cunningham, James E. Allen, Jamie Allen, Jorge Álvarez-Jarreta, M. Ridwan Amode, Irina M. Armean, Olanrewaju Austine-Orimoloye, Andrey G. Azov, If Barnes, Ruth Bennett, Andrew E. Berry, Jyothish Bhai, Alexandra Bignell, Konstantinos Billis, Sanjay Boddu, Lucy Brooks, Mehrnaz Charkhchi, Carla A. Cummins, Luca Da Rin Fioretto, Claire Davidson, Kamalkumar Jayantilal Dodiya, Sarah M. Donaldson, Bilal El Houdaigui, Tamara El Naboulsi, Reham Fatima, Carlos García-Girón, Thiago A. L. Genez, Jose Gonzalez Martinez, Cristina Guijarro-Clarke, Arthur Gymer, Matthew Hardy, Zoe Hollis, Thibaut Hourlier, Toby Hunt, Thomas Juettemann, Vinay Kaikala, Mike P. Kay, Ilias Lavidas, Tuan Le, Diana Lemos, José Carlos Marugán, Shamika Mohanan, Aleena Mushtaq, Marc Naven, Denye N. Oheh, Anne Parker, Andrew Parton, Malcolm Perry, Ivana Pilizota, Irina Prosovetskaia, Manoj Pandian Sakthivel, Ahamed Imran Abdul Salam, Bianca M. Schmitt, Helen Schuilenburg, Dan Sheppard, José G. Pérez-Silva, William Stark, Emily Steed, Kyösti Sutinen, Ranjit Sukumaran, Dulika Sumathipala, Marie-Marthe Suner, Michal Szpak, Anja Thormann, Francesca Floriana Tricomi, David Urbina-Gómez, Andres Veidenberg, Thomas A. Walsh, Brandon Walts, Natalie L. Willhoft, Andrea Winterbottom, Elizabeth Wass, Marc Chakiachvili, Bethany Flint, Adam Frankish, Stefano Giorgetti, Leanne Haggerty, Sarah E. Hunt, Garth IIsley, Jane E. Loveland, Fergal J. Martin, Benjamin Moore, Jonathan M. Mudge, Matthieu Muffato, Emily Perry, Magali Ruffier, John G. Tate, David Thybert, Stephen J. Trevanion, Sarah Dyer, Peter W. Harrison, Kevin L. Howe, Andrew D. Yates, Daniel R. Zerbino, Paul Flicek:
Ensembl 2022. Nucleic Acids Res. 50(D1): 988-995 (2022) - David S. Wishart, Zinat Sayeeda, Zachary Budinski, Anchi Guo, Brian L. Lee, Mark V. Berjanskii, Manoj Rout, Harrison Peters, Raynard Dizon, Robert Mah, Claudia Torres-Calzada, Mickel Hiebert-Giesbrecht, Dorna Varshavi, Dorsa Varshavi, Eponine Oler, Dana Allen, Xuan Cao, Vasuk Gautam, Andrew Maras, Ella F. Poynton, Pegah Tavangar, Vera Yang, Jeffrey A. van Santen, Rajarshi Ghosh, Saurav Sarma, Eleanor Knutson, Victoria Sullivan, Amy M. Jystad, Ryan S. Renslow, Lloyd W. Sumner, Roger G. Linington, John R. Cort:
NP-MRD: the Natural Products Magnetic Resonance Database. Nucleic Acids Res. 50(D1): 665-677 (2022) - Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison Bai:
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022) - Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber:
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022)
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