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- Daniel E. Davison
University of Waterloo, Canada - Daniel P. Davison
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Publication search results
found 448 matches
- 2024
- Tammy E. Beck, Stephanie T. Solansky, Daniel J. Davis, Karen Ford-Eickhoff, Donde Plowman:
Boundary work and high-reliability organizing in interorganizational collaborations. Inf. Organ. 34(3): 100524 (2024) - Robert M. Davison:
Digital transformation: Understanding business goals, risks, processes and decisions. By Mathias Cöster, Mats Danielson, Love Ekenberg, Cecilia Gullberg, Gard Titlestad, Alf Westelius, Gunnar Wettergren, Cambridge: Open Book Publishers. 2023. ISBN: 9781805110606. Inf. Syst. J. 34(1): 284 (2024) - Rotem Landesman, Jina Yoon, Jaewon Kim, Daniela E. Munoz Lopez, Lucía Magis-Weinberg, Alexis Hiniker, Katie Davis:
"I Just Don't Care Enough To Be Interested": Teens' Moment-By-Moment Experiences on Instagram. IDC 2024: 14-29 - Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele:
Can Large Language Models Write Parallel Code? HPDC 2024: 281-294 - Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele:
Can Large Language Models Write Parallel Code? CoRR abs/2401.12554 (2024) - Mostafa Ameli, Sean T. McQuade, Jonathan W. Lee, Matthew R. Bunting, Matthew Nice, Han Wang, William Barbour, Ryan Weightman, Christopher Denaro, Ryan Delorenzo, Sharon Hornstein, Jon F. Davis, Dan Timsit, Riley Wagner, Rita Xu, Malaika Mahmood, Mikail Mahmood, Maria Laura Delle Monache, Benjamin Seibold, Daniel B. Work, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen:
Designing, simulating, and performing the 100-AV field test for the CIRCLES consortium: Methodology and Implementation of the Largest mobile traffic control experiment to date. CoRR abs/2404.15533 (2024) - Ed Davis, Ian Gallagher, Daniel John Lawson, Patrick Rubin-Delanchy:
Valid Conformal Prediction for Dynamic GNNs. CoRR abs/2405.19230 (2024) - Ryan G. Scott, Brett Boston, Benjamin Davis, Iavor S. Diatchki, Mike Dodds, Joe Hendrix, Daniel Matichuk, Kevin Quick, Tristan Ravitch, Valentin Robert, Benjamin Selfridge, Andrei Stefanescu, Daniel Wagner, Simon Winwood:
Macaw: A Machine Code Toolbox for the Busy Binary Analyst. CoRR abs/2407.06375 (2024) - 2023
- Kelly Mack, Maitraye Das, Dhruv Jain, Danielle Bragg, John Tang, Andrew Begel, Erin Beneteau, Josh Urban Davis, Abraham Glasser, Joon Sung Park, Venkatesh Potluri:
Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship. Commun. ACM 66(8): 105-113 (2023) - Daniel Krasnov, Dresya Davis, Keiran Malott, Yiting Chen, Xiaoping Shi, Augustine Wong:
Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection. Entropy 25(7): 1021 (2023) - Daniel J. Davis, Tammy E. Beck:
How social media disrupts institutions: Exploring the intersection of online disinformation, digital materiality and field-level change. Inf. Organ. 33(4): 100488 (2023) - Stan Ahalt, Paul Avillach, Rebecca R. Boyles, Kira Bradford, Steven Cox, Brandi Davis-Dusenbery, Robert L. Grossman, Ashok K. Krishnamurthy, Alisa Manning, Benedict Paten, Anthony Philippakis, Ingrid Borecki, Shu Hui Chen, Jon Kaltman, Sweta Ladwa, Chip Schwartz, Alastair Thomson, Sarah Davis, Alison Leaf, Jessica Lyons, Elizabeth Sheets, Joshua C. Bis, Matthew P. Conomos, Alessandro Culotti, Thomas N. Desain, Jack DiGiovanna, Milan Domazet, Stephanie M. Gogarten, Alba Gutiérrez-Sacristán, Tim Harris, Benjamin D. Heavner, Deepti Jain, Brian O'Connor, Kevin Osborn, Danielle Pillion, Jacob Pleiness, Ken Rice, Garrett Rupp, Arnaud Serret-Larmande, Albert Smith, Jason P. Stedman, Adrienne Stilp, Teresa Barsanti, John B. Cheadle, Christopher Erdmann, Brandy Farlow, Allie Gartland-Gray, Julie Hayes, Hannah Hiles, Paul Kerr, Chris Lenhardt, Tom Madden, Joanna O. Mieczkowska, Amanda Miller, Patrick Patton, Marcie Rathbun, Stephanie Suber, Joe Asare:
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. J. Am. Medical Informatics Assoc. 30(7): 1293-1300 (2023) - Allan Peter Davis, Thomas C. Wiegers, Robin J. Johnson, Daniela Sciaky, Jolene Wiegers, Carolyn J. Mattingly:
Comparative Toxicogenomics Database (CTD): update 2023. Nucleic Acids Res. 51(D1): 1257-1262 (2023) - Saskia D. Hiltemann, Helena Rasche, Simon L. Gladman, Hans-Rudolf Hotz, Delphine Larivière, Daniel J. Blankenberg, Pratik D. Jagtap, Thomas Wollmann, Anthony Bretaudeau, Nadia Goué, Timothy J. Griffin, Coline Royaux, Yvan Le Bras, Subina P. Mehta, Anna Syme, Frederik Coppens, Bert Droesbeke, Nicola Soranzo, Wendi A. Bacon, Fotis E. Psomopoulos, Cristóbal Gallardo-Alba, John Davis, Melanie Christine Föll, Matthias Fahrner, Maria A. Doyle, Beatriz Serrano-Solano, Anne Fouilloux, Peter van Heusden, Wolfgang Maier, Dave Clements, Florian Heyl, The Galaxy Team, Björn A. Grüning, Bérénice Batut:
Galaxy Training: A powerful framework for teaching! PLoS Comput. Biol. 19(1) (2023) - Yahel Yedidya, Daniel Davis, Yotam Drier:
SARS-CoV-2 infection perturbs enhancer mediated transcriptional regulation of key pathways. PLoS Comput. Biol. 19(8) (2023) - Daniele Avitabile, Joshua L. Davis, Kyle Wedgwood:
Bump Attractors and Waves in Networks of Leaky Integrate-and-Fire Neurons. SIAM Rev. 65(1): 147-182 (2023) - Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Jia Jie Lim, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides:
Enabling Binary Neural Network Training on the Edge. ACM Trans. Embed. Comput. Syst. 22(6): 105:1-105:19 (2023) - Davis C. Loose, Timothy L. Eddy, Thomas L. Polmateer, Daniel C. Hendrickson, Negin Moghadasi, James H. Lambert:
Reinforcement Learning and Automatic Control for Resilience of Maritime Container Ports. CoDIT 2023: 1-6 - Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. HPEC 2023: 1-9 - Joshua Hoke Davis, Justin Shafner, Daniel Nichols, Nathan Grube, Pino Martin, Abhinav Bhatele:
Porting a Computational Fluid Dynamics Code with AMR to Large-scale GPU Platforms. IPDPS 2023: 602-612 - Wissam M. Sid-Lakhdar, Sébastien Cayrols, Daniel Bielich, Ahmad Abdelfattah, Piotr Luszczek, Mark Gates, Stanimire Tomov, Hans Johansen, David B. Williams-Young, Timothy A. Davis, Jack J. Dongarra, Hartwig Anzt:
PAQR: Pivoting Avoiding QR factorization. IPDPS 2023: 322-332 - Lorenzo Perini, Daniele Giannuzzi, Jesse Davis:
How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection. CoRR abs/2301.02909 (2023) - S. Li, I. Ostrovskiy, Z. Li, L. Yang, S. Al Kharusi, G. Anton, I. Badhrees, P. S. Barbeau, D. Beck, V. Belov, T. Bhatta, M. Breidenbach, T. Brunner, G. F. Cao, W. R. Cen, C. Chambers, B. Cleveland, M. Coon, A. Craycraft, T. Daniels, L. Darroch, S. J. Daugherty, J. Davis, S. Delaquis, A. Der Mesrobian-Kabakian, R. DeVoe, J. Dilling, A. Dolgolenko, M. J. Dolinski, J. Echevers, W. Fairbank Jr., D. Fairbank, J. Farine, S. Feyzbakhsh, P. Fierlinger, Y. S. Fu, D. Fudenberg, P. Gautam, R. Gornea, G. Gratta, C. Hall, E. V. Hansen, J. Hoessl, P. Hufschmidt, M. Hughes, A. Iverson, A. Jamil, C. Jessiman, M. J. Jewell, A. Johnson, A. Karelin, L. J. Kaufman, T. Koffas, R. Krücken, A. Kuchenkov, K. S. Kumar, Y. Lan, A. Larson, B. G. Lenardo, D. S. Leonard, G. S. Li, C. Licciardi, Y. H. Lin, R. MacLellan, T. McElroy, T. Michel, B. Mong, D. C. Moore, K. Murray, O. Njoya, O. Nusair, A. Odian, A. Perna, A. Piepke, A. Pocar, F. Retière, A. L. Robinson, P. C. Rowson, J. Runge, S. Schmidt, D. Sinclair, K. Skarpaas, A. K. Soma, V. Stekhanov, M. Tarka, S. Thibado, J. Todd, T. Tolba, T. I. Totev, R. Tsang:
Generative Adversarial Networks for Scintillation Signal Simulation in EXO-200. CoRR abs/2303.06311 (2023) - An Ngo, Daniel Phelps, Derrick Lai, Thanyared Wong, Lucas Mathias, Anish Shivamurthy, Mustafa Ajmal, Minghao Liu, James Davis:
Tag-Based Annotation for Avatar Face Creation. CoRR abs/2308.12642 (2023) - Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. CoRR abs/2310.00522 (2023) - Amaury Hayat, Arwa Alanqary, Rahul Bhadani, Christopher Denaro, Ryan J. Weightman, Shengquan Xiang, Jonathan W. Lee, Matthew R. Bunting, Anish Gollakota, Matthew Walter Nice, Derek Gloudemans, Gergely Zachár, Jon F. Davis, Maria Laura Delle Monache, Benjamin Seibold, Alexandre M. Bayen, Jonathan Sprinkle, Daniel B. Work, Benedetto Piccoli:
Traffic smoothing using explicit local controllers. CoRR abs/2310.18151 (2023) - Ed Davis, Ian Gallagher, Daniel John Lawson, Patrick Rubin-Delanchy:
A Simple and Powerful Framework for Stable Dynamic Network Embedding. CoRR abs/2311.09251 (2023) - 2022
- Daniel Holley:
Investigating the Neurocomputational Architecture of Anxiety with Machine-Learning and Statistical-Modeling Approaches. University of California, Davis, USA, 2022 - Daniel Kyle Davis, Feng Zhu:
Eye tracking technologies to visualize secure coding behavior. Array 15: 100241 (2022) - Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristof Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel:
A fine-grained data set and analysis of tangling in bug fixing commits. Empir. Softw. Eng. 27(6): 125 (2022)
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