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Author search results
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- Eric C. Larson
aka: Eric Larson 0001
Southern Methodist University, Dallas, TX, USA - Craig E. Larson
- Edward C. Larson
- C. Erik Larson
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Publication search results
found 460 matches
- 2024
- Pradeep Kumar Chaudhary, Juanjuan Gu, David P. Rosen, Nicholas B. Larson, Jane E. Brumbaugh, Mostafa Fatemi, Azra Alizad:
Pulsed Vibro-Acoustic Analysis Technique for Monitoring Bone Health in Preterm Infants: A Pilot Study. IEEE Access 12: 106707-106719 (2024) - Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh:
Synergistic graph fusion via encoder embedding. Inf. Sci. 678: 120912 (2024) - Christine Larson, Elspeth Ready:
Networking down: Networks, innovation, and relational labor in digital book publishing. New Media Soc. 26(5): 2659-2678 (2024) - Nathan Nakamura, Paul Szypryt, Amber L. Dagel, Bradley K. Alpert, Douglas A. Bennett, William Bertrand Doriese, Malcolm Durkin, Joseph W. Fowler, Dylan T. Fox, Johnathon D. Gard, Ryan N. Goodner, James Zachariah Harris, Gene C. Hilton, Edward S. Jimenez, Burke L. Kernen, Kurt W. Larson, Zachary H. Levine, Daniel McArthur, Kelsey M. Morgan, Galen C. O'Neil, Nathan J. Ortiz, Christine G. Pappas, Carl D. Reintsema, Daniel R. Schmidt, Peter A. Schultz, Kyle R. Thompson, Joel N. Ullom, Leila Vale, Courtenay T. Vaughan, Christopher Walker, Joel C. Weber, Jason W. Wheeler, Daniel S. Swetz:
Nanoscale Three-Dimensional Imaging of Integrated Circuits Using a Scanning Electron Microscope and Transition-Edge Sensor Spectrometer. Sensors 24(9): 2890 (2024) - Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia:
Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI. IEEE Trans. Medical Imaging 43(7): 2610-2622 (2024) - Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe:
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics. IEEE Trans. Netw. Sci. Eng. 11(2): 2100-2109 (2024) - Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson:
Learnable Statistical Moments Pooling for Automatic Modulation Classification. ICASSP 2024: 8981-8985 - Yihao Wang, Zhongdi Wu, Joseph Nese, Akihito Kamata, Vedant Nilabh, Eric C. Larson:
Improving Oral Reading Fluency Assessment Through Sub-Sequence Matching of Acoustic Word Embeddings. ICASSP 2024: 10766-10770 - Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton:
A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks. ISMVL 2024: 161-166 - Ainhoa Genua Cerviño, Naroa Coretti Sánchez, Elaine Liu Wang, Arnaud Grignard, Kent Larson:
Shared lightweight autonomous vehicles for urban food deliveries: A simulation study. CoRR abs/2402.19233 (2024) - Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton:
A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks. CoRR abs/2403.01299 (2024) - Britta U. Westner, Daniel R. McCloy, Eric Larson, Alexandre Gramfort, Daniel S. Katz, Arfon M. Smith, invited co-signees:
Cycling on the Freeway: The Perilous State of Open Source Neuroscience Software. CoRR abs/2403.19394 (2024) - Elena R. Henderson, Jessie M. Henderson, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton:
Designing a Photonic Physically Unclonable Function Having Resilience to Machine Learning Attacks. CoRR abs/2404.02440 (2024) - Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Jonathan Larson:
From Local to Global: A Graph RAG Approach to Query-Focused Summarization. CoRR abs/2404.16130 (2024) - Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe:
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery. CoRR abs/2405.12797 (2024) - 2023
- Xinyi Ding, Tao Han, Yili Fang, Eric C. Larson:
An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing. Appl. Intell. 53(9): 11092-11103 (2023) - Neal Bushaw, Blake Conka, Vinay Gupta, Aidan Kierans, Hudson Lafayette, Craig E. Larson, Kevin McCall, Andriy Mulyar, Christine Sullivan, Scott Taylor, Evan Wainright, Evan Wilson, Guanyu Wu, Sarah Loeb:
Bootstrap percolation via automated conjecturing. Ars Math. Contemp. 23(3) (2023) - Alexandra M. Harris-Watson, Lindsay E. Larson, Nina Lauharatanahirun, Leslie A. DeChurch, Noshir S. Contractor:
Social perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates. Comput. Hum. Behav. 145: 107765 (2023) - Aaron Schecter, Jess Hohenstein, Lindsay E. Larson, Alexa M. Harris, Yoyo Tsung-Yu Hou, Wen-Ying Lee, Nina Lauharatanahirun, Leslie A. DeChurch, Noshir Contractor, Malte F. Jung:
Vero: An accessible method for studying human-AI teamwork. Comput. Hum. Behav. 141: 107606 (2023) - Bardia Khosravi, Pouria Rouzrokh, John P. Mickley, Shahriar Faghani, Kellen L. Mulford, Linjun Yang, A. Noelle Larson, Benjamin M. Howe, Bradley J. Erickson, Michael J. Taunton, Cody C. Wyles:
Few-shot biomedical image segmentation using diffusion models: Beyond image generation. Comput. Methods Programs Biomed. 242: 107832 (2023) - Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen:
Characterizing variability of electronic health record-driven phenotype definitions. J. Am. Medical Informatics Assoc. 30(3): 427-437 (2023) - Hao Tian, Xi Jiang, Sian Xiao, Hunter La Force, Eric C. Larson, Peng Tao:
LAST: Latent Space-Assisted Adaptive Sampling for Protein Trajectories. J. Chem. Inf. Model. 63(1): 67-75 (2023) - Brian T. Chung, Yaewon Kim, Jeremy W. Gordon, Hsin-Yu Chen, Adam Autry, Philip M. Lee, Jasmine Y. Hu, Chou T. Tan, Chris Suszczynski, Susan M. Chang, Javier E. Villanueva-Meyer, Robert Bok, Peder E. Z. Larson, Duan Xu, Yan Li, Daniel B. Vigneron:
Hyperpolarized [2-13C]pyruvate MR molecular imaging with whole brain coverage. NeuroImage 280: 120350 (2023) - Xi Zhu, Yoojean Kim, Orren Ravid, Xiaofu He, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Seonjoo Lee, Chadi G. Abdallah, Michael Angstadt, Christopher L. Averill, C. Lexi Baird, Lee Baugh, Jennifer Urbano Blackford, Jessica Bomyea, Steven E. Bruce, Richard A. Bryant, Zhihong Cao, Kyle Choi, Josh M. Cisler, Andrew S. Cotton, Judith K. Daniels, Nicholas D. Davenport, Richard J. Davidson, Michael D. De Bellis, Emily L. Dennis, Maria Densmore, Terri A. deRoon-Cassini, Seth G. Disner, Wissam El-Hage, Amit Etkin, Negar Fani, Kelene A. Fercho, Jacklynn M. Fitzgerald, Gina L. Forster, Jessie L. Frijling, Elbert Geuze, Atilla Gonenc, Evan M. Gordon, Staci Gruber, Daniel W. Grupe, Jeffrey P. Guenette, Courtney C. Haswell, Ryan J. Herringa, Julia Herzog, David Bernd Hofmann, Bobak Hosseini, Anna R. Hudson, Ashley A. Huggins, Jonathan C. Ipser, Neda Jahanshad, Meilin Jia-Richards, Tanja Jovanovic, Milissa L. Kaufman, Mitzy Kennis, Anthony King, Philipp Kinzel, Saskia B. J. Koch, Inga Koerte, Sheri-Michelle Koopowitz, Mayuresh S. Korgaonkar, John H. Krystal, Ruth A. Lanius, Christine L. Larson, Lauren A. M. Lebois, Gen Li, Israel Liberzon, Guang Ming Lu, Yifeng Luo, Vincent A. Magnotta, Antje Manthey, Adi Maron-Katz, Geoffery May, Katie A. McLaughlin, Sven C. Mueller, Laura Nawijn, Steven M. Nelson, Richard W. J. Neufeld, Jack B. Nitschke, Erin O'Leary, Bunmi O. Olatunji, Miranda Olff, Matthew Peverill, K. Luan Phan, Rongfeng Qi, Yann Quidé, Ivan Rektor, Kerry J. Ressler, Pavel Riha, Marisa Ross, Isabelle M. Rosso, Lauren E. Salminen, Kelly A. Sambrook, Christian Schmahl, Martha Elizabeth Shenton, Margaret A. Sheridan, Chiahao Shih, Maurizio Sicorello, Anika Sierk, Alan N. Simmons, Raluca M. Simons, Jeffrey S. Simons, Scott R. Sponheim, Murray B. Stein, Dan J. Stein, Jennifer S. Stevens, Thomas Straube, Delin Sun, Jean Théberge, Paul M. Thompson, Sophia I. Thomopoulos, Nic J. A. van der Wee, Steven J. A. van der Werff, Theo G. M. van Erp, Sanne J. H. van Rooij, Mirjam van Zuiden, Tim Varkevisser, Dick J. Veltman, Robert R. J. M. Vermeiren, Henrik Walter, Li Wang, Xin Wang, Carissa N. Weis, Sherry Winternitz, Hong Xie, Ye Zhu, Melanie Wall, Yuval Neria, Rajendra A. Morey:
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage 283: 120412 (2023) - Kristi Yoonsup Lee, Saudamini Vishwanath Dabak, Vivian Hanxiao Kong, Minah Park, Shirley L. L. Kwok, Madison Silzle, Chayapat Rachatan, Alex R. Cook, Aly Passanante, Ed Pertwee, Zhengdong Wu, Javier A. Elkin, Heidi J. Larson, Eric H. Y. Lau, Kathy Leung, Joseph T. Wu, Leesa Lin:
Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore. npj Digit. Medicine 6 (2023) - Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Carey E. Priebe, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Marah Ihab Abdin, Piali Choudhury, Weiwei Yang, Christopher W. White:
Distance-based positive and unlabeled learning for ranking. Pattern Recognit. 134: 109085 (2023) - Alex Depoutovitch, Chong Chen, Per-Åke Larson, Jack Ng, Shu Lin, Guanzhu Xiong, Paul Lee, Emad Boctor, Samiao Ren, Lengdong Wu, Yuchen Zhang, Calvin Sun:
Taurus MM: bringing multi-master to the cloud. Proc. VLDB Endow. 16(12): 3488-3500 (2023) - Zhongdi Wu, Stuart Stothoff, Osvaldo Pensado, Jennifer Alford, Eric C. Larson:
Exploring Convolutional Neural Networks for Predicting Sentinel-C Backscatter Between Image Acquisitions. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Benjamin Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan:
Discovering Language Model Behaviors with Model-Written Evaluations. ACL (Findings) 2023: 13387-13434 - Charles Sayre, Eric C. Larson, Gabs DiLiegro, Joseph Camp, Bruce Gnade:
Radiation Anomaly Detection Using an Adversarial Autoencoder. ACSSC 2023: 1010-1014
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