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Publication search results
found 96 matches
- 2024
- Matt Gottsacker, Hiroshi Furuya, Zubin Datta Choudhary, Austin Erickson, Ryan Schubert, Gerd Bruder, Michael P. Browne, Gregory F. Welch:
Investigating the relationships between user behaviors and tracking factors on task performance and trust in augmented reality. Comput. Graph. 123: 104035 (2024) - Jeff Shute, Shannon Bales, Matthew Brown, Jean-Daniel Browne, Brandon Dolphin, Romit Kudtarkar, Andrey Litvinov, Jingchi Ma, John D. Morcos, Michael Shen, David Wilhite, Xi Wu, Lulan Yu:
SQL has problems. We can fix them: Pipe syntax in SQL. Proc. VLDB Endow. 17(12): 4051-4063 (2024) - 2023
- Utkarsh J. Dang, Michael P. B. Gallaugher, Ryan P. Browne, Paul D. McNicholas:
Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions. J. Classif. 40(1): 145-167 (2023) - Tarun Kumar Agrawal, Robin Hanson, Farook Abdullah Sultan, Mats Ingemar Johansson, Dan Andersson, Gunnar Stefansson, Konstantina Katsela, Michael Browne:
Automating Loading and Unloading for Autonomous Transport: Identifying Challenges and Requirements with a Systems Approach. APMS (3) 2023: 332-345 - 2022
- Peter McAnena, Brian M. Moloney, Robert Browne, Niamh O'Halloran, Leon Walsh, Sinead Walsh, Declan Sheppard, Karl J. Sweeney, Michael J. Kerin, Aoife J. Lowery:
A radiomic model to classify response to neoadjuvant chemotherapy in breast cancer. BMC Medical Imaging 22(1): 225 (2022) - T. R. Scruby, Dan E. Browne, Paul Webster, Michael Vasmer:
Numerical Implementation of Just-In-Time Decoding in Novel Lattice Slices Through the Three-Dimensional Surface Code. Quantum 6: 721 (2022) - Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Learning Shared Neural Manifolds from Multi-Subject FMRI Data. MLSP 2022: 1-6 - Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Learning shared neural manifolds from multi-subject FMRI data. CoRR abs/2201.00622 (2022) - 2021
- Paula J. Cartwright, Peter R. C. S. Fearns, Paul Branson, Michael V. W. Cuttler, Michael O'Leary, Nicola K. Browne, Ryan J. Lowe:
Identifying Metocean Drivers of Turbidity Using 18 Years of MODIS Satellite Data: Implications for Marine Ecosystems under Climate Change. Remote. Sens. 13(18): 3616 (2021) - Austin Erickson, Kangsoo Kim, Alexis Lambert, Gerd Bruder, Michael P. Browne, Gregory F. Welch:
An Extended Analysis on the Benefits of Dark Mode User Interfaces in Optical See-Through Head-Mounted Displays. ACM Trans. Appl. Percept. 18(3): 12:1-12:22 (2021) - David Browne, Michael Giering, Steven D. Prestwich:
Unsupervised PulseNet: Automated Pruning of Convolutional Neural Networks by K-Means Clustering. LOD 2021: 172-184 - Tabitha Belshee, Adam Chang, Nebil Ibrahim, Mikako Inaba, Nikoo Karbassi, Angelo Kayser-Browne, Hye Jee Kim, Rachel Kim, Seung Jae Lee, Natalia Orlovsky, Michael Guerzhoy:
Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students. SIGCSE 2021: 1280 - 2020
- Joshua Louis Bonesso, Michael V. W. Cuttler, Nicola K. Browne, Jörg M. Hacker, Michael O'Leary:
Assessing Reef Island Sensitivity Based on LiDAR-Derived Morphometric Indicators. Remote. Sens. 12(18): 3033 (2020) - David Browne, Michael Giering, Steven D. Prestwich:
PulseNetOne: Fast Unsupervised Pruning of Convolutional Neural Networks for Remote Sensing. Remote. Sens. 12(7): 1092 (2020) - Michael V. W. Cuttler, Kilian Vos, Paul Branson, Jeff E. Hansen, Michael O'Leary, Nicola K. Browne, Ryan J. Lowe:
Interannual Response of Reef Islands to Climate-Driven Variations in Water Level and Wave Climate. Remote. Sens. 12(24): 4089 (2020) - Nathan R. Holbert, Haeny Yoon, Cassie Brownell, Christopher Moffett, Michael Dando, Isabel Correa, Lalitha Vasudevan:
The Aesthetics of (Un)Charted Play: Negotiating Nostalgia and Digital Demons in an Era of "Post-Truth" Educational Research. ICLS 2020 - Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. NeurIPS 2020 - Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. CoRR abs/2006.07882 (2020) - 2019
- David Browne, Michael Giering, Steve Prestwich:
Deep Learning Human Activity Recognition. AICS 2019: 76-87 - Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Deep Graph Similarity Learning for Brain Data Analysis. CIKM 2019: 2743-2751 - David Browne, Michael Giering, Steven D. Prestwich:
Pulse-Net: Dynamic Compression of Convolutional Neural Networks. WF-IoT 2019: 346-351 - Cameron Browne, Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Michael Conrad, Walter Crist, Thierry Depaulis, Eddie Duggan, Fred Horn, Steven Kelk, Simon M. Lucas, João Pedro Neto, David Parlett, Abdallah Saffidine, Ulrich Schädler, Jorge Nuno Silva, Alex de Voogt, Mark H. M. Winands:
Foundations of Digital Archæoludology. CoRR abs/1905.13516 (2019) - 2018
- Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR abs/1811.02662 (2018) - 2016
- Hilary Weller, Philip A. Browne, Chris J. Budd, Mike J. P. Cullen:
Mesh adaptation on the sphere using optimal transport and the numerical solution of a Monge-Ampère type equation. J. Comput. Phys. 308: 102-123 (2016) - Claas Ahlrichs, Albert Samà, Michael Lawo, Joan Cabestany, Daniel Rodríguez Martín, Carlos Pérez-López, Dean Sweeney, Leo R. Quinlan, Gearóid Ó Laighin, Timothy Counihan, Patrick Browne, Hadas Lewy, Gabriel Vainstein, Alberto Costa, Roberta Annicchiarico, Sheila Alcaine, Berta Mestre, Paola Quispe, Àngels Bayés, Alejandro Rodríguez-Molinero:
Detecting freezing of gait with a tri-axial accelerometer in Parkinson's disease patients. Medical Biol. Eng. Comput. 54(1): 223-233 (2016) - Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke:
Real-time full correlation matrix analysis of fMRI data. IEEE BigData 2016: 1242-1251 - Danius T. Michaelides, Richard Parker, Chris Charlton, William J. Browne, Luc Moreau:
Intermediate Notation for Provenance and Workflow Reproducibility. IPAW 2016: 83-94 - 2015
- Sean Browne, Michael Lang, Willie Golden:
Linking Threat Avoidance and Security Adoption: A Theoretical Model For SMEs. Bled eConference 2015: 35 - Sean Browne, Michael Lang, William Golden:
The Insider Threat - Understanding The Aberrant Thinking Of The Rogue"Trusted Agent". ECIS 2015
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