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Publication search results
found 290 matches
- 2024
- Damien Dablain, Kristen N. Jacobson, Colin Bellinger, Mark Roberts, Nitesh V. Chawla:
Understanding CNN fragility when learning with imbalanced data. Mach. Learn. 113(7): 4785-4810 (2024) - Karin Forsberg, Johan Jirlén, Inger Jacobson, Ulrik Röijezon:
Cervical Sensorimotor Function Tests Using a VR Headset - An Evaluation of Concurrent Validity. Sensors 24(17): 5811 (2024) - Alec Reinhardt, Newsha Nikzad, Raven J. Hollis, Galia Jacobson, Millicent A. Roach, Mohamed Badawy, Peter Chul Park, Laura Beretta, Prasun K. Jalal, David T. Fuentes, Eugene J. Koay, Suprateek Kundu:
Heterogeneous Image-based Classification Using Distributional Data Analysis. CoRR abs/2403.07126 (2024) - 2023
- Ian G. Ludden, Rahul Swamy, Douglas M. King, Sheldon H. Jacobson:
A Bisection Protocol for Political Redistricting. INFORMS J. Optim. 5(3): 233-255 (2023) - Rahul Swamy, Douglas M. King, Sheldon H. Jacobson:
Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach. Oper. Res. 71(2): 536-562 (2023) - Silvia Sellán, Jack Luong, Leticia Mattos Da Silva, Aravind Ramakrishnan, Yuchuan Yang, Alec Jacobson:
Breaking Good: Fracture Modes for Realtime Destruction. ACM Trans. Graph. 42(1): 10:1-10:12 (2023) - Jiayi Eris Zhang, Jérémie Dumas, Yun (Raymond) Fei, Alec Jacobson, Doug L. James, Danny M. Kaufman:
Progressive Shell Qasistatics for Unstructured Meshes. ACM Trans. Graph. 42(6): 176:1-176:17 (2023) - RyeAnne Ricker, Yin-Ting Yeh, Maria Chiara Monaco, Anita Fletcher, Steven Jacobson, Murray H. Loew, Elodie Ghedin:
Surface-enhanced Raman spectroscopy for the identification of a non-enveloped virus. AIPR 2023: 1-4 - Kenneth Smith, Michael Chan, John Brandenburg, Katarina A Jones, Shawn R. Campagna, Michael Garvin, Alan R. Templeton, Daniel A. Jacobson, Carlos Cruchaga, Sharlee Climer:
Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. BIBM 2023: 3370-3375 - Karthik Swaminathan, Ramon Bertran, Doug Balazich, Alper Buyuktosunoglu, Arvind Haran, Sean M. Carey, Karl Anderson, Hans M. Jacobson, Matthias Pflanz, Pradip Bose:
Characterization and Exploration of Latch Checkers for Efficient RAS Protection. DSN-S 2023: 63-69 - Mikaela Cashman, Verónica G. Melesse Vergara, John H. Lagergren, Matthew Lane, Jean Merlet, Mikaela Atkinson, Jared Streich, Christopher E. Bradburne, Raina Plowright, Wayne Joubert, Daniel A. Jacobson:
Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress. PASC 2023: 3:1-3:10 - Jean Merlet, John H. Lagergren, Verónica Melesse Vergara, Mikaela Cashman, Christopher E. Bradburne, Raina Plowright, Emily Gurley, Wayne Joubert, Daniel A. Jacobson:
Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution. PASC 2023: 26:1-26:7 - Scott Atchley, Christopher Zimmer, John Lange, David E. Bernholdt, Verónica G. Melesse Vergara, Thomas Beck, Michael J. Brim, Reuben D. Budiardja, Sunita Chandrasekaran, Markus Eisenbach, Thomas M. Evans, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joe Glenski, Philipp Grete, Steven P. Hamilton, John K. Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim H. McMahon, Elia Merzari, Stan G. Moore, Andrew Myers, Stephen Nichols, Sarp Oral, Thomas Papatheodore, Danny Perez, David M. Rogers, Evan Schneider, Jean-Luc Vay, P. K. Yeung:
Frontier: Exploring Exascale. SC 2023: 52:1-52:16 - Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon:
Data-Free Learning of Reduced-Order Kinematics. SIGGRAPH (Conference Paper Track) 2023: 40:1-40:9 - John H. Lagergren, Mirko Pavicic, Hari B. Chhetri, Larry M. York, P. Doug Hyatt, David Kainer, Erica M. Rutter, Kevin B. Flores, Gail Taylor, Daniel A. Jacobson, Jared Streich:
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa. CoRR abs/2301.10351 (2023) - Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon:
Data-Free Learning of Reduced-Order Kinematics. CoRR abs/2305.03846 (2023) - Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi:
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields. CoRR abs/2309.03185 (2023) - 2022
- Christian Breyer, Siavash Khalili, Dmitrii Bogdanov, Manish Ram, Ayobami Solomon Oyewo, Arman Aghahosseini, Ashish Gulagi, A. A. Solomon, Dominik Keiner, Gabriel Lopez, Poul Alberg Østergaard, Henrik Lund, Brian V. Mathiesen, Mark Z. Jacobson, Marta Victoria, Sven Teske, Thomas Pregger, Vasilis Fthenakis, Marco Raugei, Hannele Holttinen, Ugo Bardi, Auke Hoekstra, Benjamin K. Sovacool:
On the History and Future of 100% Renewable Energy Systems Research. IEEE Access 10: 78176-78218 (2022) - Luigi Romano, Pär Johannesson, Erik Nordström, Fredrik Bruzelius, Rickard Andersson, Bengt Jacobson:
A Classification Method of Road Transport Missions and Applications Using the Operating Cycle Format. IEEE Access 10: 73087-73121 (2022) - Marzia Riso, Giacomo Nazzaro, Enrico Puppo, Alec Jacobson, Qingnan Zhou, Fabio Pellacini:
BoolSurf: Boolean Operations on Surfaces. ACM Trans. Graph. 41(6): 247:1-247:13 (2022) - Jiayi Eris Zhang, Jérémie Dumas, Yun (Raymond) Fei, Alec Jacobson, Doug L. James, Danny M. Kaufman:
Progressive Simulation for Cloth Quasistatics. ACM Trans. Graph. 41(6): 218:1-218:16 (2022) - Beatrice Malizia, Michael Jacobson, Partha Ryali, Myunghee Kim, James L. Patton:
Theoretical Development of a Knee-Ankle ExoNET to Supplement Muscle Function. BioRob 2022: 1-6 - Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica Teixeira Prates, Verónica G. Melesse Vergara, Manesh Shah, Austin Clyde, Thomas S. Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown:
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. ICLR 2022 - Aaron Gember-Jacobson, Ruchit Shrestha, Xiaolin Sun:
Localizing Router Configuration Errors Using Minimal Correction Sets. CoRR abs/2204.10785 (2022) - Saurav Kadavath, Tom Conerly, Amanda Askell, Tom Henighan, Dawn Drain, Ethan Perez, Nicholas Schiefer, Zac Hatfield-Dodds, Nova DasSarma, Eli Tran-Johnson, Scott Johnston, Sheer El Showk, Andy Jones, Nelson Elhage, Tristan Hume, Anna Chen, Yuntao Bai, Sam Bowman, Stanislav Fort, Deep Ganguli, Danny Hernandez, Josh Jacobson, Jackson Kernion, Shauna Kravec, Liane Lovitt, Kamal Ndousse, Catherine Olsson, Sam Ringer, Dario Amodei, Tom Brown, Jack Clark, Nicholas Joseph, Ben Mann, Sam McCandlish, Chris Olah, Jared Kaplan:
Language Models (Mostly) Know What They Know. CoRR abs/2207.05221 (2022) - Deep Ganguli, Liane Lovitt, Jackson Kernion, Amanda Askell, Yuntao Bai, Saurav Kadavath, Ben Mann, Ethan Perez, Nicholas Schiefer, Kamal Ndousse, Andy Jones, Sam Bowman, Anna Chen, Tom Conerly, Nova DasSarma, Dawn Drain, Nelson Elhage, Sheer El Showk, Stanislav Fort, Zac Hatfield-Dodds, Tom Henighan, Danny Hernandez, Tristan Hume, Josh Jacobson, Scott Johnston, Shauna Kravec, Catherine Olsson, Sam Ringer, Eli Tran-Johnson, Dario Amodei, Tom Brown, Nicholas Joseph, Sam McCandlish, Chris Olah, Jared Kaplan, Jack Clark:
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned. CoRR abs/2209.07858 (2022) - Damien Dablain, Kristen N. Jacobson, Colin Bellinger, Mark Roberts, Nitesh V. Chawla:
Understanding CNN Fragility When Learning With Imbalanced Data. CoRR abs/2210.09465 (2022) - Maxwell J. Jacobson, Daniela Chanci Arrubla, Maria Romeo Tricas, Gayle Gordillo, Yexiang Xue, Chandan K. Sen, Juan P. Wachs:
Human-centered XAI for Burn Depth Characterization. CoRR abs/2210.13535 (2022) - 2021
- Sarah Anne Kushner, Risa Ulinski, Karan Singh, David I. W. Levin, Alec Jacobson:
Levitating Rigid Objects with Hidden Rods and Wires. Comput. Graph. Forum 40(2): 221-230 (2021) - Yogesh K. Dwivedi, Elvira Ismagilova, David Laurie Hughes, Jamie Carlson, Raffaele Filieri, Jenna Jacobson, Varsha Jain, Heikki Karjaluoto, Hajer Kefi, Anjala S. Krishen, Vikram Kumar, Mohammad M. Rahman, Ramakrishnan Raman, Philipp A. Rauschnabel, Jennifer E. Rowley, Jari Salo, Gina A. Tran, Yichuan Wang:
Setting the future of digital and social media marketing research: Perspectives and research propositions. Int. J. Inf. Manag. 59: 102168 (2021)
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