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- Daniel B. Neill
New York University, Courant Institute / Wagner School / Center for Urban Science and Progress, NY, USA - Daniel O'Neill
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Publication search results
found 602 matches
- 2024
- Moucheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob:
Expectation maximisation pseudo labels. Medical Image Anal. 94: 103125 (2024) - Frank E. Curtis, Michael O'Neill, Daniel P. Robinson:
Worst-case complexity of an SQP method for nonlinear equality constrained stochastic optimization. Math. Program. 205(1): 431-483 (2024) - Daniel S. Katz, Neil P. Chue Hong:
Special issue on software citation, indexing, and discoverability. PeerJ Comput. Sci. 10: e1951 (2024) - Francis Obeng, Daniel Domeh, Faisal Khan, Neil Bose, Elizabeth Sanli:
An operational risk management approach for small fishing vessel. Reliab. Eng. Syst. Saf. 247: 110104 (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) - Ze Shi Li, Nowshin Nawar Arony, Kezia Devathasan, Manish Sihag, Neil A. Ernst, Daniela E. Damian:
Unveiling the Life Cycle of User Feedback: Best Practices from Software Practitioners. ICSE 2024: 54:1-54:13 - Daniel R. Assumpcao, Can M. Knaut, Aziza Suleymanzade, Yan-Cheng Wei, Pieter-Jan Stas Stas, Yan-Qi Huan, Bartholomeus Machielse, Erik N. Knall, Madison Sutula, Gefen Baranes, Neil Sinclair, Chawina De-Eknamkul, David S. Levonian, Mihir K. Bhaskar, Hongkun Park, Marko Loncar, Mikhail Lukin:
Remote Entanglement of Quantum Memories over a Metropolitan Network. OFC 2024: 1-3 - Benjamin J. Puttnam, Ruben S. Luis, Ian D. Phillips, Mingming Tan, Aleksandr Donodin, Dini Pratiwi, Lauren Dallachiesa, Y. Huang, Mikael Mazur, Nicolas K. Fontaine, H. Chen, Dicky Chung, V. Ho, Daniele Orsuti, Budsara Boriboon, Georg Rademacher, Luca Palmieri, Ray Man, Roland Ryf, David T. Neilson, Wladek Forysiak, Hideaki Furukawa:
402 Tb/s GMI data-rate OESCLU-band Transmission. OFC 2024: 1-3 - Daniel Dadush, Zhuan Khye Koh, Bento Natura, Neil Olver, László A. Végh:
A Strongly Polynomial Algorithm for Linear Programs with At Most Two Nonzero Entries per Row or Column. STOC 2024: 1561-1572 - Valerio Capraro, Austin Lentsch, Daron Acemoglu, Selin Akgün, Aisel Akhmedova, Ennio Bilancini, Jean-François Bonnefon, Pablo Brañas-Garza, Luigi Butera, Karen M. Douglas, Jim A. C. Everett, Gerd Gigerenzer, Christine Greenhow, Daniel A. Hashimoto, Julianne Holt-Lunstad, Jolanda Jetten, Simon Johnson, Chiara Longoni, Pete Lunn, Simone Natale, Iyad Rahwan, Neil Selwyn, Vivek Singh, Siddharth Suri, Jennifer Sutcliffe, Joe Tomlinson, Sander van der Linden, Paul A. M. Van Lange, Friederike Wall, Jay J. Van Bavel, Riccardo Viale:
The impact of generative artificial intelligence on socioeconomic inequalities and policy making. CoRR abs/2401.05377 (2024) - Farhad Maleki, Linda Moy, Reza Forghani, Tapotosh Ghosh, Katie L. Ovens, Steve Langer, Pouria Rouzrokh, Bardia Khosravi, Ali Ganjizadeh, Daniel Warren, Roxana Daneshjou, Mana Moassefi, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline:
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. CoRR abs/2401.08847 (2024) - Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - 2023
- Zhuoming Liu, Yan Lin, Joseph Hoover, Daniel Beene, Perry H. Charley, Neilroy Singer:
Individual level spatial-temporal modelling of exposure potential of livestock in the Cove Wash watershed, Arizona. Ann. GIS 29(1): 87-107 (2023) - Liskin Swint-Kruse, Larissa L. Dougherty, Braelyn Page, Tiffany Wu, Pierce T. O'Neil, Charulata B. Prasannan, Cody Timmons, Qingling Tang, Daniel Joseph Parente, Shwetha Sreenivasan, Todd Holyoak, Aron W. Fenton:
PYK-SubstitutionOME: an integrated database containing allosteric coupling, ligand affinity and mutational, structural, pathological, bioinformatic and computational information about pyruvate kinase isozymes. Database J. Biol. Databases Curation 2023 (2023) - Janice M. Ranson, Magda Bucholc, Donald Lyall, Danielle Newby, Laura Winchester, Neil P. Oxtoby, Michele Veldsman, Timothy Rittman, Sarah J. Marzi, Nathan G. Skene, Ahmad Al Khleifat, Isabelle F. Foote, Vasiliki Orgeta, Andrey Kormilitzin, Ilianna Lourida, David J. Llewellyn:
Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Informatics 10(1): 6 (2023) - Ethan L. Miller, George V. Neville-Neil, Achilles Benetopoulos, Pankaj Mehra, Daniel Bittman:
Pointers in Far Memory. Commun. ACM 66(12): 40-45 (2023) - José Alonso Solís-Lemus, Tiffany Baptiste, Rosie K. Barrows, Charles Sillett, Ali Gharaviri, Giulia Raffaele, Orod Razeghi, Marina Strocchi, Iain Sim, Irum Kotadia, Neil Bodagh, Daniel O'Hare, Mark D. O'Neill, Steven E. Williams, Caroline H. Roney, Steven A. Niederer:
Evaluation of an open-source pipeline to create patient-specific left atrial models: A reproducibility study. Comput. Biol. Medicine 162: 107009 (2023) - Paul R. Kingsbury, Hakob Abajian, Mark Abajian, Praveen Angyan, Juan Espinoza, Beau MacDonald, Daniella Meeker, John P. Wilson, Neil Bahroos:
SEnDAE: A resource for expanding research into social and environmental determinants of health. Comput. Methods Programs Biomed. 238: 107542 (2023) - Álvaro Bustos Gajardo, Daniel Luz, Neil Mañibo:
Admissible Reversing and Extended Symmetries for Bijective Substitutions. Discret. Comput. Geom. 69(3): 800-833 (2023) - Charles A. Pehlivanian, Daniel B. Neill:
Efficient Optimization of Partition Scan Statistics via the Consecutive Partitions Property. J. Comput. Graph. Stat. 32(2): 712-729 (2023) - Benjamin Jakubowski, Sriram Somanchi, Edward McFowland III, Daniel B. Neill:
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators. J. Mach. Learn. Res. 24: 133:1-133:57 (2023) - Hanyi Chen, Alexandra L. Young, Neil P. Oxtoby, Frederik Barkhof, Daniel C. Alexander, André Altmann:
Transferability of Alzheimer's disease progression subtypes to an independent population cohort. NeuroImage 271: 120005 (2023) - Yizheng Chen, Lequan Yu, Jen-Yeu Wang, Neil Panjwani, Jean-Pierre Obeid, Wu Liu, Lianli Liu, Nataliya Kovalchuk, Michael Francis Gensheimer, Lucas Kas Vitzthum, Beth M. Beadle, Daniel T. Chang, Quynh-Thu Le, Bin Han, Lei Xing:
Adaptive Region-Specific Loss for Improved Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13408-13421 (2023) - Ethan L. Miller, Achilles Benetopoulos, George V. Neville-Neil, Pankaj Mehra, Daniel Bittman:
Pointers in Far Memory: A rethink of how data and computations should be organized. ACM Queue 21(3): 75-93 (2023) - Abhinav Agarwal, Jatin Hansrani, Sam Bagwell, Oleksandr Rytov, Varun Shah, Kai Ling Ong, Daniel Van Blerkom, Jonathan Bergey, Neil Kumar, Tim Lu, Deanan DaSilva, Michael Graae, David Dibble:
A 316MP, 120FPS, High Dynamic Range CMOS Image Sensor for Next Generation Immersive Displays. Sensors 23(20): 8383 (2023) - Roland Schwan, Colin N. Jones, Daniel Kuhn:
Stability Verification of Neural Network Controllers Using Mixed-Integer Programming. IEEE Trans. Autom. Control. 68(12): 7514-7529 (2023) - Yingzhao Lian, Yuning Jiang, Daniel F. Opila, Colin N. Jones:
A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31(5): 2245-2260 (2023) - Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob:
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels. IEEE Trans. Medical Imaging 42(10): 2988-2999 (2023) - Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill:
Provable Detection of Propagating Sampling Bias in Prediction Models. AAAI 2023: 9562-9569 - Katie Rosman, Daniel B. Neill:
Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data. AAAI 2023: 14470-14477
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