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Publication search results
found 92 matches
- 2024
- Jack Laurie Tilbury, Stephen Flowerday:
Automation Bias and Complacency in Security Operation Centers. Comput. 13(7): 165 (2024) - Yimai Peng, Seokhyeon Jeong, Kyojin Choo, Yejoong Kim, Li-Yu Chen, Rohit Rothe, Li Xu, Ilya Gurin, Omid Oliaei, Matthew J. Thompson, Stephen Bart, Peter Hartwell, David T. Blaauw, Dennis Sylvester:
An Ultralow-Power Triaxial MEMS Accelerometer With High-Voltage Biasing and Electrostatic Mismatch Compensation. IEEE J. Solid State Circuits 59(7): 2219-2235 (2024) - Abdallah Alsammani, William C. Stacey, Stephen V. Gliske:
Estimation of Circular Statistics in the Presence of Measurement Bias. IEEE J. Biomed. Health Informatics 28(2): 1089-1100 (2024) - Stephen Russell, Fabio Montes Suros, Ashwin Kumar:
Exploiting Machine Learning Bias: Predicting Medical Denials. AAAI Spring Symposia 2024: 58-63 - Lena Armstrong, Abbey Liu, Stephen MacNeil, Danaë Metaxa:
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring. EAAMO 2024: 2:1-2:18 - Vishwali Mhasawade, Alexander D'Amour, Stephen R. Pfohl:
A Causal Perspective on Label Bias. FAccT 2024: 1282-1294 - Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch:
Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. LAK 2024: 210-218 - Stephen Pilli:
Exploring Conversational Agents as an Effective Tool for Measuring Cognitive Biases in Decision-Making. CoRR abs/2401.06686 (2024) - Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - Lena Armstrong, Abbey Liu, Stephen MacNeil, Danaë Metaxa:
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring. CoRR abs/2405.04412 (2024) - Stephen Scarano, Vijayalakshmi Vasudevan, Mattia Samory, Kai-Cheng Yang, JungHwan Yang, Przemyslaw A. Grabowicz:
Election Polls on Social Media: Prevalence, Biases, and Voter Fraud Beliefs. CoRR abs/2405.11146 (2024) - 2023
- Thales Bertaglia, Katarina Bartekova, Rinske Jongma, Stephen Mccarthy, Adriana Iamnitchi:
Sexism in Focus: An Annotated Dataset of YouTube Comments for Gender Bias Research. OASIS@HT 2023: 22-28 - Stephen Zhu:
Biases in Micro-level Probabilistic Reasoning and Its Impact on the Spectators' Enjoyment of Tennis Games. INTETAIN 2023: 109-126 - Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen Guo, Philip S. Yu:
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. SIGIR 2023: 1884-1888 - Negin Moghadasi, Misagh Piran, Stephen Baek, Rupa S. Valdez, Michael D. Porter, DeAndre A. Johnson, James H. Lambert:
Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis. SSCI 2023: 1800-1807 - Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen Guo, Philip S. Yu:
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. CoRR abs/2307.16060 (2023) - 2022
- Stephen Friess:
Inductive biases and metaknowledge representations for search-based optimization. University of Birmingham, UK, 2022 - Aditya Ponnada, Jixin Li, Shirlene Wang, Wei-Lin Wang, Bridgette Do, Genevieve F. Dunton, Stephen S. Intille:
Contextual Biases in Microinteraction Ecological Momentary Assessment (μEMA) Non-response. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 26:1-26:24 (2022) - Stephen C. Medeiros, Joelle S. Bobinsky, Khalid Abdelwahab:
Locality of Topographic Ground Truth Data for Salt Marsh Lidar DEM Elevation Bias Mitigation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5766-5775 (2022) - Serena Jinchen Xie, Flavia Kapos, Stephen J. Mooney, Sean D. Mooney, Kari A. Stephens, Andrea L. Hartzler, Abhishek Pratap:
Geospatial divide in real-world EHR data: Analytical workflow to assess regional biases and potential impact on health equity. AMIA 2022 - Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip S. Yu, Kannan Achan:
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. IEEE Big Data 2022: 616-625 - Arif Ahmed, Gondy Leroy, Han Yu Lu, David Kauchak, Jeff Stone, Philip Harber, Stephen A. Rains, Prashant Mishra, Bhumi Chitroda:
Audio delivery of health information: An NLP study of information difficulty and bias in listeners. CENTERIS/ProjMAN/HCist 2022: 1509-1517 - Mashael Al-Luhaybi, Stephen Swift, Steve Counsell, Allan Tucker:
Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach. ICMLA 2022: 1799-1806 - Nina Markl, Stephen Joseph McNulty:
Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR. LREC 2022: 6328-6339 - Yimai Peng, Seokhyeon Jeong, Kyojin Choo, Yejoong Kim, Li-Yu Chen, Rohit Rothe, Li Xu, Ilya Gurin, Omid Oliaei, Vadim Tsinker, Stephen Bart, Peter Hartwell, David T. Blaauw, Dennis Sylvester:
A 184nW, 121µg/√Hz Noise Floor Triaxial MEMS Accelerometer with Integrated CMOS Readout Circuit and Variation-Compensated High Voltage MEMS Biasing. VLSI Technology and Circuits 2022: 84-85 - Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR abs/2202.04187 (2022) - Nina Markl, Stephen Joseph McNulty:
Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR. CoRR abs/2202.12603 (2022) - Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip S. Yu, Kannan Achan:
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. CoRR abs/2211.09072 (2022) - 2021
- Philip T. G. Jackson, Stephen Bonner, Ning Jia, Christopher J. Holder, Jonathan Stonehouse, Boguslaw Obara:
Camera Bias in a Fine Grained Classification Task. IJCNN 2021: 1-8 - Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. SSCI 2021: 1-7
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