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Author search results
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- David M. Howard 0001
Royal Holloway University of London, UK - Gerard David Howard
- David M. Howard 0002
Colgate University, Mathematics Department, Hamilton, NY, USA - Howard David
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Publication search results
found 749 matches
- 2024
- Joshua Pinskier
, Xing Wang, Lois Liow, Yue Xie, Prabhat Kumar, Matthijs Langelaar, David Howard:
Diversity-Based Topology Optimization of Soft Robotic Grippers. Adv. Intell. Syst. 6(4) (2024) - Agariadne Dwinggo Samala
, David Mhlanga
, Ljubisa Bojic
, Natalie-Jane Howard
, Diogo Pereira Coelho
:
Blockchain Technology in Education: Opportunities, Challenges, and Beyond. Int. J. Interact. Mob. Technol. 18(1): 20-42 (2024) - Brian Lo, Bemnet Teferi, Howard W. Wong
, Alexxa Abi-Jaoudé
, Jasmine Chopra, Rebecca Charow
, Melody Zhang, Jenny Shi
, Andrew Johnson, Andrea Levinson, Kristin Cleverley, Jo Henderson
, Aristotle N. Voineskos, David Wiljer
:
Enhancing the value of digital health tools for mental health help-seeking in Canadian transitional aged youth during the pandemic: Qualitative study. Int. J. Medical Informatics 182: 105299 (2024) - David C. Y. Chu
, Rithvik Panchapakesan
, Shadaj Laddad
, Lucky E. Katahanas
, Chris Liu
, Kaushik Shivakumar
, Natacha Crooks
, Joseph M. Hellerstein
, Heidi Howard
:
Optimizing Distributed Protocols with Query Rewrites. Proc. ACM Manag. Data 2(1): 2:1-2:25 (2024) - Kristina Skroce, Andrea Zignoli
, Federico Y. Fontana, Felipe M. Maturana
, David Lipman
, Andrea Tryfonos, Michael C. Riddell
, Howard C. Zisser:
Real World Interstitial Glucose Profiles of a Large Cohort of Physically Active Men and Women. Sensors 24(3): 744 (2024) - Anthony Stell, Ernesto C. Caparo, Zhe Wang, Chenyang Wang, David Berlowitz, Mark Howard, Richard O. Sinnott, Uwe Aickelin
:
Identification of Patient Ventilator Asynchrony in Physiological Data Through Integrating Machine-Learning. BIOSTEC (2) 2024: 436-443 - Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Tao Qin, Howard Lee:
CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information. EACL (Findings) 2024: 2243-2273 - David C. Y. Chu
, Chris Liu
, Natacha Crooks
, Joseph M. Hellerstein
, Heidi Howard
:
Bigger, not Badder: Safely Scaling BFT Protocols. PaPoC@EuroSys 2024: 30-36 - Ryo Kanno, Pham H. Nguyen, Joshua Pinskier, David Howard, Sukho Song, Mirko Kovac:
Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation. RoboSoft 2024: 851-857 - Joshua Pinskier, James Brett, David Howard:
Towards Bespoke Soft Grippers through Voxel-Scale Metamaterial Topology Optimisation. RoboSoft 2024: 291-298 - Yue Xie, Xing Wang, Fumiya Iida, David Howard:
Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM. RoboSoft 2024: 692-697 - Callum Bennie, Bridget Casey, Cécile Paris, Dana Kulic, Brendan Tidd, Nicholas Lawrance, Alex Pitt, Fletcher Talbot, Jason Williams, David Howard, Pavan Sikka, Hashini Senaratne:
Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration. CoRR abs/2401.13903 (2024) - Ryo Kanno, Pham H. Nguyen, Joshua Pinskier, David Howard, Sukho Song, Mirko Kovac:
Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation. CoRR abs/2403.06327 (2024) - Mary Phuong, Matthew Aitchison, Elliot Catt, Sarah Cogan, Alexandre Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael, Sarah Hodkinson, Heidi Howard, Tom Lieberum, Ramana Kumar, Maria Abi Raad, Albert Webson, Lewis Ho, Sharon Lin, Sebastian Farquhar, Marcus Hutter, Grégoire Delétang, Anian Ruoss, Seliem El-Sayed, Sasha Brown, Anca D. Dragan, Rohin Shah, Allan Dafoe, Toby Shevlane:
Evaluating Frontier Models for Dangerous Capabilities. CoRR abs/2403.13793 (2024) - David Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Optimizing Distributed Protocols with Query Rewrites [Technical Report]. CoRR abs/2404.01593 (2024) - Meixu Chen, Kai Wang, Michael Dohopolski, Howard E. Morgan, David J. Sher, Jing Wang:
TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy. CoRR abs/2405.05674 (2024) - Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin Bonilla:
Bayesian Adaptive Calibration and Optimal Design. CoRR abs/2405.14440 (2024) - 2023
- David M. Douglas
, Justine Lacey
, David Howard:
Ethical risks of AI-designed products: bespoke surgical tools as a case study. AI Ethics 3(4): 1117-1133 (2023) - Layla Hosseini-Gerami, Ixavier Alonzo Higgins, David A. Collier, Emma Laing, David Evans, Howard Broughton, Andreas Bender:
Benchmarking causal reasoning algorithms for gene expression-based compound mechanism of action analysis. BMC Bioinform. 24(1): 154 (2023) - Layla Hosseini-Gerami
, Rosa D. Hernansaiz-Ballesteros, Anika Liu, Howard Broughton, David A. Collier, Andreas Bender:
MAVEN: compound mechanism of action analysis and visualisation using transcriptomics and compound structure data in R/Shiny. BMC Bioinform. 24(1): 344 (2023) - Richelle Mayshak, Dominika Howard
, Michelle Benstead
, Anna Klas
, David Skvarc, Travis Harries, Brittany Patafio
, Abby Sleep, Ross King, Shannon Hyder:
Dating in the dark: A qualitative examination of dating experiences in Dark Tetrad personalities. Comput. Hum. Behav. 143: 107680 (2023) - Angélique Volfart
, Katie L. McMahon, David Howard, Greig I. de Zubicaray
:
Neural Correlates of Naturally Occurring Speech Errors during Picture Naming in Healthy Participants. J. Cogn. Neurosci. 35(1): 111-127 (2023) - Alexandros Karargyris
, Renato Umeton
, Micah J. Sheller
, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati
, Hasan Kassem
, Maximilian Zenk
, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade
, Jacob Rosenthal
, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist
, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian
, Xinxing Xu
, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni
, Eshna Sengupta, Akshay Chaudhari
, Cody Coleman, Bala Desinghu
, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin
, Xinyuan Huang, Satyananda Kashyap
, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni
, Virendra Mehta
, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu
, Prashant Shah
, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni
, Massimo Loda
, Jason M. Johnson
, Spyridon Bakas
, Peter Mattson
:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin
, Duo Wang, Anas Z. Abidin
, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T. M. Cheung, Grace Yang, Ming Cao, Mona Flores, Anthony B. Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, Eric Karl Oermann:
Health system-scale language models are all-purpose prediction engines. Nat. 619(7969): 357-362 (2023) - Andre Esteva, Jean Feng
, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan
, Yilun Sun
, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani
, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou
, Matthew P. Lungren, Serena Yeung
, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler
, Phuoc T. Tran, Daniel E. Spratt
, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023) - James Hodge
, Sarah Foley
, Daniel Lambton-Howard
, Laura Booi
, Kyle Montague
, Sandra Coulter
, David Kirk
, Kellie Morrissey
:
Exploring Participants' Representations and Shifting Sensitivities in a Hackathon for Dementia. ACM Trans. Comput. Hum. Interact. 30(3): 46:1-46:35 (2023) - Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee:
Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target. CHIL 2023: 100-116 - Preston Peak, Sai Kode, David Nguyen, O. Howard Frazier, Nobuyuki Kurita, Yaxin Wang:
A Novel Design of an Elastance-Controlled Linear Motor-Driven Left Ventricle Simulator. IECON 2023: 1-7 - Xiaoran Fan
, David Pearl
, Richard E. Howard
, Longfei Shangguan
, Trausti Thormundsson
:
APG: Audioplethysmography for Cardiac Monitoring in Hearables. MobiCom 2023: 67:1-67:15 - Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023
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