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Publication search results
found 63 matches
- 2024
- Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic, Tirth Patel, Joe Duhamel, Sonja Kandel, Yasbanoo Moayedi, Michael Brudno, Andrew Hope, Heather Ross, Chris McIntosh:
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data. npj Digit. Medicine 7(1) (2024) - Lukas Höper, Carsten Schulte, Andreas Mühling:
Learning an Explanatory Model of Data-Driven Technologies can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing Education. ICER (1) 2024: 326-342 - Lukas Höper, Carsten Schulte, Andreas Mühling:
Students' Motivation and Intention to Engage with Data-Driven Technologies from a CS Perspective in Everyday Life. ITiCSE (1) 2024 - Michael Ibrahim:
Parameter-Free Spanish Hope Speech Detection. IberLEF@SEPLN 2024 - Ioannis Arkalakis, Michalis Diamantaris, Serafeim Moustakas, Sotiris Ioannidis, Jason Polakis, Panagiotis Ilia:
Abandon All Hope Ye Who Enter Here: A Dynamic, Longitudinal Investigation of Android's Data Safety Section. USENIX Security Symposium 2024 - Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati, Shubham Innani, Bhakti Baheti, Jake Albrecht, Alexandros Karargyris, Hasan Kassem, MacLean P. Nasrallah, Jared T. Ahrendsen, Valeria Barresi, Maria A. Gubbiotti, Giselle Y. López, Calixto-Hope G. Lucas, Michael L. Miller, Lee A. D. Cooper, Jason T. Huse, William R. Bell:
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. CoRR abs/2405.10871 (2024) - Annan Yu, Michael W. Mahoney, N. Benjamin Erichson:
There is HOPE to Avoid HiPPOs for Long-memory State Space Models. CoRR abs/2405.13975 (2024) - Leah Hope Ajmani, Jasmine C. Foriest, Jordan Taylor, Kyle Pittman, Sarah A. Gilbert, Michael A. DeVito:
Whose Knowledge is Valued?: Epistemic Injustice in CSCW Applications. CoRR abs/2407.03477 (2024) - 2023
- Ashlee Milton, Leah Ajmani, Michael Ann DeVito, Stevie Chancellor:
"I See Me Here": Mental Health Content, Community, and Algorithmic Curation on TikTok. CHI 2023: 480:1-480:17 - Leah Ajmani, Mo Houtti, Jasmine C. Foriest, Michael Ann DeVito, Nicholas Vincent, Isaac L. Johnson:
Epistemic Injustice in Online Communities: Unpacking the Values of Knowledge Creation and Curation within CSCW Applications. CSCW Companion 2023: 527-531 - Leah Hope Ajmani, Stevie Chancellor, Bijal Mehta, Casey Fiesler, Michael Zimmer, Munmun De Choudhury:
A Systematic Review of Ethics Disclosures in Predictive Mental Health Research. FAccT 2023: 1311-1323 - Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman:
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts. CoRR abs/2302.00561 (2023) - 2022
- Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou:
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43(1): 59-68 (2022) - Paul Michael Di Gangi, Vess L. Johnson, Hope Koch:
Special Issue Editorial: Digital transformation in times of crisis - An introduction to the special issue and a framework for future research. MIS Q. Executive 21(4): 4 (2022) - 2021
- Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes:
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories. MLHC 2021: 567-613 - Michal Kazmierski, Mattea Welch, Sejin Kim, Chris McIntosh, Katrina Rey-McIntyre, Shao-Hui Huang, Tirth Patel, Tony Tadic, Michael F. Milosevic, Fei-Fei Liu, Andrew Hope, Scott V. Bratman, Benjamin Haibe-Kains:
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data. CoRR abs/2101.11935 (2021) - Alexandra Hope Lee, Panagiotis Lymperopoulos, Joshua T. Cohen, John B. Wong, Michael C. Hughes:
Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach. CoRR abs/2104.09327 (2021) - Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes:
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories. CoRR abs/2105.00773 (2021) - 2020
- Ryan Ellis, Erik Ellestad, Brett Elicker, Michael D. Hope, Duygu Tosun:
Impact of hybrid supervision approaches on the performance of artificial intelligence for the classification of chest radiographs. Comput. Biol. Medicine 120: 103699 (2020) - Laura Robinson, Jeremy Schulz, Grant Blank, Massimo Ragnedda, Hiroshi Ono, Bernie Hogan, Gustavo S. Mesch, Shelia R. Cotten, Susan B. Kretchmer, Timothy M. Hale, Tomasz Drabowicz, Pu Yan, Barry Wellman, Molly-Gloria Harper, Anabel Quan-Haase, Hopeton S. Dunn, Antonio A. Casilli, Paola Tubaro, Rod Carvath, Wenhong Chen, Julie B. Wiest, Matias Dodel, Michael J. Stern, Christopher Ball, Kuo-Ting Huang, Aneka Khilnani:
Digital inequalities 2.0: Legacy inequalities in the information age. First Monday 25(7) (2020) - Laura Robinson, Jeremy Schulz, Hopeton S. Dunn, Antonio A. Casilli, Paola Tubaro, Rod Carvath, Wenhong Chen, Julie B. Wiest, Matias Dodel, Michael J. Stern, Christopher Ball, Kuo-Ting Huang, Grant Blank, Massimo Ragnedda, Hiroshi Ono, Bernie Hogan, Gustavo S. Mesch, Shelia R. Cotten, Susan B. Kretchmer, Timothy M. Hale, Tomasz Drabowicz, Pu Yan, Barry Wellman, Molly-Gloria Harper, Anabel Quan-Haase, Aneka Khilnani:
Digital inequalities 3.0: Emergent inequalities in the information age. First Monday 25(7) (2020) - Gabriel Hope, Madina Abdrakhmanova, Xiaoyin Chen, Michael C. Hughes, Erik B. Sudderth:
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints. CoRR abs/2012.06718 (2020) - 2019
- Marco Chiesa, Roshan Sedar, Gianni Antichi, Michael Borokhovich, Andrzej Kamisinski, Georgios Nikolaidis, Stefan Schmid:
PURR: a primitive for reconfigurable fast reroute: hope for the best and program for the worst. CoNEXT 2019: 1-14 - Hope Mogale, Michael Esiefarienrhe, Naison Gasela, Lucia Letlonkane:
Accelerating Green Computing with Hybrid Asymmetric Multicore Architectures and Safe Parallelism. CoRR abs/1909.08978 (2019) - 2018
- David H. McElreath, Daniel Adrian Doss, Carl Jensen, Stephen Mallory, Michael Wigginton, Terry P. Lyons, Lorri C. Williamson, Leisa S. McElreath:
Failed Hopes of Education: Revisiting the Relevancy of Education as a Method of Diminishing Recidivism. Int. J. Adult Vocat. Educ. Technol. 9(1): 15-30 (2018) - Michael C. Hughes, Gabriel Hope, Leah Weiner, Thomas H. McCoy Jr., Roy H. Perlis, Erik B. Sudderth, Finale Doshi-Velez:
Semi-Supervised Prediction-Constrained Topic Models. AISTATS 2018: 1067-1076 - Dariusz Latka, Marek Waligóra, Kajetan Latka, Grzegorz Miekisiak, Michal Adamski, Klaudia Kozlowska, Miroslaw Latka, Katarzyna Fojcik, Dariusz Man, Ryszard Olchawa:
Virtual Reality Based Simulators for Neurosurgeons - What We Have and What We Hope to Have in the Nearest Future. IC BCI 2018: 1-10 - Krit Charupanit, Michael D. Nunez, Danilo Bernardo, Martina Bebin, Darcy A. Krueger, Hope Northrup, Mustafa Sahin, Joyce Y. Wu, Beth A. Lopour:
Automated Detection of High Frequency Oscillations in Human Scalp Electroencephalogram. EMBC 2018: 3116-3119 - 2017
- Yan Wang, Florent Seguro, Evan Kao, Yue Zhang, Farshid Faraji, Chengcheng Zhu, Henrik Haraldsson, Michael Hope, David Saloner, Jing Liu:
Segmentation of lumen and outer wall of abdominal aortic aneurysms from 3D black-blood MRI with a registration based geodesic active contour model. Medical Image Anal. 40: 1-10 (2017) - Michael C. Hughes, Leah Weiner, Gabriel Hope, Thomas H. McCoy Jr., Roy H. Perlis, Erik B. Sudderth, Finale Doshi-Velez:
Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models. CoRR abs/1707.07341 (2017)
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