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Author search results
Exact matches
- Mark Shaw 0001
Microsoft Corporation, Redmond, USA - Mark Shaw 0002
STMicroelectronics, Agrate, Italy
Likely matches
- Mark Q. Shaw
Hewlett Packard Company, Boise, USA - Mark Christopher Shaw
De Montfort University, Leicester, Centre for Computing and Social Responsibility, UK - Shawn Marks
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Publication search results
found 342 matches
- 2024
- Brent M. Roeder, Xiwei She, Alexander S. Dakos, Bryan Moore, Robert T. Wicks, Mark R. Witcher, Daniel E. Couture, Adrian W. Laxton, Heidi M. Munger Clary, Gautam Popli, Charles Liu, Brian Lee, Christianne Heck, George Nune, Hui Gong, Susan Shaw, Vasilis Z. Marmarelis, Theodore W. Berger, Sam A. Deadwyler, Dong Song, Robert E. Hampson:
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories. Frontiers Comput. Neurosci. 18 (2024) - Mark P. Sendak, Vincent X. Liu, Ashley Beecy, David E. Vidal, Keo Shaw, Mark Lifson, Danny Tobey, Alexandra Valladares, Brenna Loufek, Murtaza Mogri, Suresh Balu:
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety. J. Am. Medical Informatics Assoc. 31(7): 1622-1627 (2024) - Shawn C. C. Hsueh, Mark Nijland, Adekunle Aina, Steven S. Plotkin:
Cyclization Scaffolding for Improved Vaccine Immunogen Stability: Application to Tau Protein in Alzheimer's Disease. J. Chem. Inf. Model. 64(6): 2035-2044 (2024) - Shrishail Baligar, Mikolaj Kegler, Bryce Irvin, Marko Stamenovic, Shawn D. Newsam:
CATSE: A Context-Aware Framework for Causal Target Sound Extraction. EUSIPCO 2024: 401-405 - Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion:
Massively Scalable Inverse Reinforcement Learning in Google Maps. ICLR 2024 - Regina Eckert, Michael Bernas, Philip G. Brodrick, John W. Chapman, Adam Chlus, Michael L. Eastwood, Sven Geier, Mark Helmlinger, Didier Keymeulen, Elliott Liggett, Shriya Nadgauda, Luis Ríos, Lucas Shaw, David R. Thompson, Robert O. Green:
AVIRIS-3: Next-Generation Imaging Spectroscopy Calibration and First Results. IGARSS 2024: 289-291 - Son Thai Le, Guilhem De Valicourt, Pete Pupalaikis, Randy Giles, Marco Lamponi, Lukas Elsinger, Shawn Liu, Brett Sawyer, Jon Proesel, Eugene Ho, Karen Liu, Glen Homsey, Joseph Lopez, Zhiqui Zhu, Steve Corteselli, Laurent Alloin, Chris Daunt, Mark Ferriss, Behzad Rahmani, Fred Warning, Ashok Bruno, Siamak Abbaslou, Mehdi Zaman, Zeyu Pan, George Fischer, Paul Haigh, Gannon Reichert, Alexander Gazman, Faezeh Fesharaki, Peter Winzer:
1.6-Tbps Low-Power Linear-Drive High-Density Optical Interface (HDI/O) for ML/AI. OFC 2024: 1-3 - Shrishail Baligar, Mikolaj Kegler, Bryce Irvin, Marko Stamenovic, Shawn D. Newsam:
CATSE: A Context-Aware Framework for Causal Target Sound Extraction. CoRR abs/2403.14246 (2024) - 2023
- Wahid Bhimji, Dale Carder, Eli Dart, Javier M. Duarte, Ian Fisk, Robert W. Gardner, Chin Guok, Bo Jayatilaka, Tom Lehman, M. Lin, Carlos Maltzahn, Shawn McKee, Mark S. Neubauer, O. Rind, Oksana Shadura, N. V. Tran, P. van Gemmeren, Gordon Watts, B. A. Weaver, Frank Würthwein:
Snowmass 2021 Computational Frontier CompF4 Topical Group Report Storage and Processing Resource Access. Comput. Softw. Big Sci. 7(1): 5 (2023) - Kevin Baum, Joanna Bryson, Frank Dignum, Virginia Dignum, Marko Grobelnik, Holger H. Hoos, Morten Irgens, Paul Lukowicz, Catelijne Muller, Francesca Rossi, John Shawe-Taylor, Andreas Theodorou, Ricardo Vinuesa:
From fear to action: AI governance and opportunities for all. Frontiers Comput. Sci. 5 (2023) - Chrissy H. Roberts, Callum Stott, Marianne Shawe-Taylor, Zain Chaudhry, Sham Lal, Michael Marks:
Biometric linkage of longitudinally collected electronic case report forms and confirmation of subject identity: an open framework for ODK and related tools. Frontiers Digit. Health 5 (2023) - Jamie Danemayer, Cathy Holloway, Youngjun Cho, Nadia Berthouze, Aneesha Singh, William Bhot, Ollie Dixon, Marko Grobelnik, John Shawe-Taylor:
Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems. Int. J. Hum. Comput. Stud. 177: 103078 (2023) - Jie M. Zhang, Mark Harman, Benjamin Guedj, Earl T. Barr, John Shawe-Taylor:
Model validation using mutated training labels: An exploratory study. Neurocomputing 539: 126116 (2023) - Edgar J. Guerrón-Orejuela, Kai C. Rains, Tyelyn M. Brigino, William J. Kleindl, Shawn M. Landry, Patricia Spellman, Coowe M. Walker, Mark C. Rains:
Mapping Groundwater Recharge Potential in High Latitude Landscapes Using Public Data, Remote Sensing, and Analytic Hierarchy Process. Remote. Sens. 15(10): 2630 (2023) - Shawky Mansour, Eman Ghoneim, Asmaa El-Kersh, Sayed Said, Shimaa Abdelnaby:
Spatiotemporal Monitoring of Urban Sprawl in a Coastal City Using GIS-Based Markov Chain and Artificial Neural Network (ANN). Remote. Sens. 15(3): 601 (2023) - Shawanluck Kunathikornkit, Intaka Piriyakul, Rapepun Piriyakul:
One-to-one marketing management via customer complaint. Soc. Netw. Anal. Min. 13(1): 83 (2023) - Runzhe Zhang, Yeri Nam, Ki-Youn Lee, Yousun Bang, Mark Q. Shaw, Jan P. Allebach:
Printing velocity simulation and estimation. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2023: 195:1-195:8 - R. James Cotton, Anthony Cimorelli, Kunal Shah, Shawana Anarwala, Scott D. Uhlrich, Tasos Karakostas:
Improved Trajectory Reconstruction for Markerless Pose Estimation. EMBC 2023: 1-7 - Jee Young Kim, William Boag, Freya Gulamali, Alifia Hasan, Henry David Jeffry Hogg, Mark Lifson, Deirdre K. Mulligan, Manesh Patel, Inioluwa Deborah Raji, Ajai Sehgal, Keo Shaw, Danny Tobey, Alexandra Valladares, David E. Vidal, Suresh Balu, Mark P. Sendak:
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare. FAccT 2023: 1396-1417 - Surupa Shaw, Mark Perez:
Exploring the Impact of Incorporating Entrepreneurial Activities in Higher Education. FIE 2023: 1-10 - R. James Cotton, Allison DeLillo, Anthony Cimorelli, Kunal Shah, J. D. Peiffer, Shawana Anarwala, Kayan Abdou, Tasos Karakostas:
Optimizing Trajectories and Inverse Kinematics for Biomechanical Analysis of Markerless Motion Capture Data. ICORR 2023: 1-6 - Adeola Bamgboje-Ayodele, Adrian Boscolo, Owen Hutchings, Miranda Shaw, Mitchell Burger, Richard Taggart, Mark Simpson, Tim Shaw, Steven McPhail, Melissa T. Baysari:
Fighting the Same Battles on a New Battleground: Embedding Technologies in a Virtual Care Environment. MedInfo 2023: 1066-1070 - Pascal Notin, Aaron Kollasch, Daniel Ritter, Lood van Niekerk, Steffanie Paul, Han Spinner, Nathan J. Rollins, Ada Shaw, Rose Orenbuch, Ruben Weitzman, Jonathan Frazer, Mafalda Dias, Dinko Franceschi, Yarin Gal, Debora S. Marks:
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design. NeurIPS 2023 - Kendra Strode, Mark C. J. Davis Jr., Parrish Nnambi, Shawn M. Plummer:
Panel: Journey to Leadership. SIGUCCS 2023: 3 - Abdallah Al-Shawabkeh, Mohammed T. Nuseir, Sarah Urabi:
The Impact of Social Media Usage on Companies' Customer Relationship Management (CRM). The Effect of Information Technology on Business and Marketing Intelligence Systems 2023: 147-172 - Raihan Tanvir, Md. Tanvir Rouf Shawon, Md. Golam Rabiul Alam:
DSE Stock Price Prediction using Hidden Markov Model. CoRR abs/2302.08911 (2023) - R. James Cotton, Anthony Cimorelli, Kunal Shah, Shawana Anarwala, Scott D. Uhlrich, Tasos Karakostas:
Improved Trajectory Reconstruction for Markerless Pose Estimation. CoRR abs/2303.02413 (2023) - R. James Cotton, Allison DeLillo, Anthony Cimorelli, Kunal Shah, J. D. Peiffer, Shawana Anarwala, Kayan Abdou, Tasos Karakostas:
Markerless Motion Capture and Biomechanical Analysis Pipeline. CoRR abs/2303.10654 (2023) - Jee Young Kim, William Boag, Freya Gulamali, Alifia Hasan, Henry David Jeffry Hogg, Mark Lifson, Deirdre K. Mulligan, Manesh Patel, Inioluwa Deborah Raji, Ajai Sehgal, Keo Shaw, Danny Tobey, Alexandra Valladares, David E. Vidal, Suresh Balu, Mark P. Sendak:
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare. CoRR abs/2304.13081 (2023) - Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion:
Massively Scalable Inverse Reinforcement Learning in Google Maps. CoRR abs/2305.11290 (2023)
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