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Publication search results
found 157 matches
- 2024
- Mona Jami Pour, Hossein Moeini, Leila Hosseini Nejad:
Understanding customer purchase intention in social media: an integration of TAM and DeLone and McLean's model. Int. J. Bus. Inf. Syst. 45(4): 519-541 (2024) - Hannah K. Jarman, Siân A. McLean, Amy Slater, Mathew D. Marques, Susan J. Paxton:
Direct and indirect relationships between social media use and body satisfaction: A prospective study among adolescent boys and girls. New Media Soc. 26(1): 292-312 (2024) - Hannah McLean Babe, Sydney Nguyen, Yangtian Zi, Arjun Guha, Molly Q. Feldman, Carolyn Jane Anderson:
StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code. ACL (Findings) 2024: 8452-8474 - Sydney Nguyen, Hannah McLean Babe, Yangtian Zi, Arjun Guha, Carolyn Jane Anderson, Molly Q. Feldman:
How Beginning Programmers and Code LLMs (Mis)read Each Other. CHI 2024: 651:1-651:26 - Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 2024 - Sujith Chandran, Yusheng Bian, Won Suk Lee, Ahmed Abumazwed, Neng Liu, Luhua Xu, Hanyi Ding, Abdelsalam Aboketaf, Michal Rakowski, Kevin Dezfulian, Arman Najafi, Takako Hirokawa, Qidi Liu, Andy Stricker, Subramanian Krishnamurthy, Kate McLean, Ryan Sporer, Michelle Zhang, Shenghua Song, Helen Wong, Salman Mosleh, Dan Deptuck, Janet Tinkler, Jae Gon Lee, Vikas Gupta, Anthony Yu, Ken Giewont, Ted Letavic:
High Performance Silicon Nitride Passive Optical Components on Monolithic Silicon Photonics Platform. OFC 2024: 1-3 - Sydney Nguyen, Hannah McLean Babe, Yangtian Zi, Arjun Guha, Carolyn Jane Anderson, Molly Q. Feldman:
How Beginning Programmers and Code LLMs (Mis)read Each Other. CoRR abs/2401.15232 (2024) - Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden:
Advancing Multimodal Medical Capabilities of Gemini. CoRR abs/2405.03162 (2024) - Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Radhika Bhalerao, Yaseen Dhemesh, Devon Godfrey, Fathi Hilal, Scott Floyd, Anastasia Janas, Anahita Fathi Kazerooni, John Kirkpatrick, Collin Kent, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern H. Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Syed Muhammad Anwar, Timothy Bergquist, Sully Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Nastaran Khalili, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Koen Van Leemput, Hongwei Bran Li, Marius George Linguraru, Xinyang Liu, Aria Mahtabfar, Zeke Meier, Ahmed W. Moawad, John Mongan, Marie Piraud, Russell Takeshi Shinohara, Walter F. Wiggins, Aly H. Abayazeed, Rachel Akinola, András Jakab, Michel Bilello, Maria Correia de Verdier, Priscila Crivellaro, Christos Davatzikos, Keyvan Farahani, John B. Freymann, Christopher Hess, Raymond Y. Huang, Philipp Lohmann, Mana Moassefi, Matthew W. Pease, Philipp Vollmuth, Nico Sollmann, David Diffley, Khanak K. Nandolia, Daniel I. Warren, Ali Hussain, Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan G. Stein, Mahsa Taherzadeh, Eduardo Portela de Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie M. T. Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam H. Shawali, Nikolay Yordanov, Joel M. Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann C. Martin, Abdullah Okar:
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR abs/2405.09787 (2024) - Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu:
Transforming Wearable Data into Health Insights using Large Language Model Agents. CoRR abs/2406.06464 (2024) - Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean:
Towards a Personal Health Large Language Model. CoRR abs/2406.06474 (2024) - 2023
- Hannah K. Jarman, Matthew Fuller-Tyszkiewicz, Siân A. McLean, Rachel F. Rodgers, Amy Slater, Chloe S. Gordon, Susan J. Paxton:
Who's most at risk of poor body image? Identifying subgroups of adolescent social media users over the course of a year. Comput. Hum. Behav. 147: 107823 (2023) - Jared H. McLean, Sean B. Cleveland, Michael Dodge II, Matthew P. Lucas, Ryan Longman, Thomas W. Giambelluca, Gwen A. Jacobs:
Building a portal for climate data - Mapping automation, visualization, and dissemination. Concurr. Comput. Pract. Exp. 35(18) (2023) - Jared H. McLean, Sean B. Cleveland, Kolja Rotzoll, Scot K. Izuka, Jason Leigh, Gwen A. Jacobs, Ryan Theriot:
The Hawai'i Groundwater Recharge Tool. Concurr. Comput. Pract. Exp. 35(18) (2023) - Elsie M. F. Horne, Susannah McLean, Mohammad A. Alsallakh, Gwyneth A. Davies, David B. Price, Aziz Sheikh, Athanasios Tsanas:
Defining clinical subtypes of adult asthma using electronic health records: Analysis of a large UK primary care database with external validation. Int. J. Medical Informatics 170: 104942 (2023) - Marnie K. McLean, R. Glenn Weaver, Abbi Lane, Michal T. Smith, Hannah Parker, Ben Stone, Jonas McAninch, David W. Matolak, Sarah Burkart, M. V. S. Chandrashekhar, Bridget Armstrong:
A Sliding Scale Signal Quality Metric of Photoplethysmography Applicable to Measuring Heart Rate across Clinical Contexts with Chest Mounting as a Case Study. Sensors 23(7): 3429 (2023) - Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez:
Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. 2023 (2023) - Edward Raff, Mark McLean, James Holt:
An Easy Rejection Sampling Baseline via Gradient Refined Proposals. ECAI 2023: 1930-1937 - Cameron F. McLean, Daniel J. Trew, Luke E. Hallum:
A filter-rectify-filter model of the tactile perception of 3D-printed, texture-defined form. EMBC 2023: 1-4 - Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - John Davis, Peter M. Dauenhauer, Henry Louie, Kirk MacLearnsberry, J. McLean Sloughter:
Monitoring and Evaluation of Two Solar Energy Kiosks in Zambia. GHTC 2023: 70-76 - Jared H. McLean, Sean B. Cleveland:
Design and Implementation of Web APIs for Supporting Data Product Visualization and Dissemination In Science Gateways. HICSS 2023: 6966-6975 - Ida Setya Dwi Jayanti, Irsyadul Ibad, Mutiara Auliya Khadija, Chairul Huda Atma Dirgatama, Arinta Kusumawardhani:
The Effectiveness of Integrated Dynamic Archival Information System (SRIKANDI) Using DeLone and McLean Model on Local Government Organisation of Surakarta City. IC3INA 2023: 189-193 - Lisa McLean, Catherine Bullivant, Tia Moeke, Jacqueline Hodges, Laura Wuellner, Shelley Rushton, Tracey O'Brien:
User-Led Learning Preferences to Inform Rapid Learning Online Education Supporting Evidence-Based Best Practice in Oncology. MedInfo 2023: 1530-1531 - Lisa McLean, Kerrie Curtis, Jacqueline Hodges, Lisa King, Laura Wuellner, Annie Zheng, Shelley Rushton, Tracey O'Brien:
Enhancing Clinical Safety and Cancer Patient Experience Through Comprehensive eLearning on Central Venous Access Devices. MedInfo 2023: 1394-1395 - Anastasiya Belyaeva, Justin Cosentino, Farhad Hormozdiari, Krish Eswaran, Shravya Shetty, Greg Corrado, Andrew Carroll, Cory Y. McLean, Nicholas A. Furlotte:
Multimodal LLMs for Health Grounded in Individual-Specific Data. ML4MHD 2023: 86-102 - Yusheng Bian, Takako Hirokawa, Vaishnavi Karra, Arpan Dasgupta, Won Suk Lee, Abdelsalam Aboketaf, Francis Afzal, Ryan Sporer, Karen Nummy, Ken Giewont, Nickolas C. Harris, Reza Baghdadi, Shashank Gupta, Keith Donegan, Thomas Houghton, Brian Popielarski, Kevin K. Dezfulian, Petar Ivanov Todorov, Bo Peng, Sujith Chandran, Mohamed Gheith, Ian Stobert, Mini Modh Ghosal, Jae Kyu Cho, Apoorva Vakil, Sunoo Kim, Zhuo-Jie Wu, Andy Stricker, Kate McLean, Benjamin V. Fasano, Michal Rakowski, Qidi Liu, Matt Rauer, Ryan Gallagher, Ranjani Sirdeshmukh, Norman Robson, Ian Melville, Rod Augur, Jae Gon Lee, Wenhe Lin, George Gifford, Robert Fox, Vikas Gupta, Anthony Yu, John Pellerin, Ted Letavic:
Monolithically integrated self-aligned SiN edge coupler with 520 mW high-power handling capability. OFC 2023: 1-3 - Devendra K. Jangid, Neal R. Brodnik, McLean P. Echlin, Tresa M. Pollock, Samantha H. Daly, B. S. Manjunath:
Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network. CoRR abs/2303.10722 (2023) - Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y. McLean, Yossi Matias, Gregory S. Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila:
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. CoRR abs/2305.05648 (2023)
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