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Publication search results
found 655 matches
- 2024
- Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu:
Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients. Comput. Biol. Medicine 172: 108240 (2024) - Eoin M. Kenny, Elodie Ruelle, Mark T. Keane, Laurence Shalloo:
A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction. Comput. Electron. Agric. 219: 108805 (2024) - Zhimei Luo, Jinyuan Guo, Jose Benitez, Laurent Scaringella, Jiabao Lin:
How do organizations leverage social media to enhance marketing performance? Unveiling the power of social CRM capability and guanxi. Decis. Support Syst. 178: 114123 (2024) - Shunli Zhang, Laurence T. Yang, Yue Zhang, Zhixing Lu, Zongmin Cui:
Tensor-Based Forward-Backward Algorithms in the Physics-Informed Coupled Hidden Markov Model. IEEE Trans. Artif. Intell. 5(3): 1052-1066 (2024) - Antoine N. André, Olivier Lehmann, Jason Govilas, Guillaume J. Laurent, Hamdi Saadana, Patrick Sandoz, Vladimir Gauthier, Alexis Lefevre, Aude Bolopion, Joël Agnus, Vincent Placet, Cédric Clévy:
Automating Robotic Micro-Assembly of Fluidic Chips and Single Fiber Compression Tests Based-on Θ Visual Measurement With High-Precision Fiducial Markers. IEEE Trans Autom. Sci. Eng. 21(1): 353-366 (2024) - Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala:
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. ASPLOS (2) 2024: 929-947 - Nina Markl, Lauren Hall-Lew, Catherine Lai:
Language Technologies as If People Mattered: Centering Communities in Language Technology Development. LREC/COLING 2024: 10085-10099 - Rebecca Berthelsen, Cherileigh Chandler, Lauren Dean, Mark J. Keith, Ryan M. Schuetzler, Degan Kettles, Greg Anderson:
How Can Chatbots Improve the Gender Gap in Information Systems? HICSS 2024: 7194-7203 - Frederik Baymler Mathiesen, Morteza Lahijanian, Luca Laurenti:
IntervalMDP.jl: Accelerated Value Iteration for Interval Markov Decision Processes. CoRR abs/2401.04068 (2024) - Braja Gopal Patra, Lauren A. Lepow, Praneet Kasi Reddy Jagadeesh Kumar, Veer Vekaria, Mohit Manoj Sharma, Prakash Adekkanattu, Brian Fennessy, Gavin Hynes, Isotta Landi, Jorge A. Sanchez-Ruiz, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Ardesheer Talati, Myrna Weissman, Mark Olfson, J. John Mann, Alexander W. Charney, Jyotishman Pathak:
Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model. CoRR abs/2403.17199 (2024) - Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert:
Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds. CoRR abs/2404.02866 (2024) - 2023
- John H. Morris, Karthik Soman, Rabia E. Akbas, Xiaoyuan Zhou, Brett Smith, Elaine C. Meng, Conrad C. Huang, Gabriel Cerono, Gundolf Schenk, Angela Rizk-Jackson, Adil Harroud, Lauren M. Sanders, Sylvain V. Costes, Krish Bharat, Arjun Chakraborty, Alexander R. Pico, Taline Mardirossian, Michael J. Keiser, Alice Tang, Josef Hardi, Yongmei Shi, Mark A. Musen, Sharat Israni, Sui Huang, Peter W. Rose, Charlotte A. Nelson, Sergio E. Baranzini:
The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information. Bioinform. 39(2) (2023) - Damiano Spina, Mark Sanderson, Daniel Angus, Gianluca Demartini, Dana McKay, Lauren L. Saling, Ryen W. White:
Human-AI Cooperation to Tackle Misinformation and Polarization. Commun. ACM 66(7): 40-45 (2023) - Sefakor Fianu, Lauren B. Davis:
Heuristic algorithm for nested Markov decision process: Solution quality and computational complexity. Comput. Oper. Res. 159: 106297 (2023) - Yezhou Ni, Robert Topham, Travis Skippon, Jun-Tian Zhang, Sean Hanlon, Fei Long, Catalina V. Anghel, Edmanuel Torres, Mark R. Daymond, Laurent Karim Béland:
Detection of zirconium hydrides in transmission electron micrographs using deep neural networks. Eng. Appl. Artif. Intell. 117(Part): 105573 (2023) - Rabah Amir, Jim Y. Jin, Laurence Lasselle:
Uniform, efficient and independent Ramsey taxes across markets. Games Econ. Behav. 138: 373-386 (2023) - Mark Fisher, Geoffrey French, Artjoms Gorpincenko, Helen Holah, Lauren Clayton, Rebecca Skirrow, Michal Mackiewicz:
Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Process. 17(2): 349-361 (2023) - Tariq A. Dam, Lucas M. Fleuren, Luca F. Roggeveen, Martijn Otten, Laurens Biesheuvel, Ameet R. Jagesar, Robbert C. A. Lalisang, Robert F. J. Kullberg, Tom Hendriks, Armand R. J. Girbes, Mark Hoogendoorn, Patrick J. Thoral, Paul W. G. Elbers:
Augmented intelligence facilitates concept mapping across different electronic health records. Int. J. Medical Informatics 179: 105233 (2023) - Lauren L. Czerniak, Mark S. Daskin, Mariel S. Lavieri, Burgunda V. Sweet, Jennifer Leja, Matthew A. Tupps, Karl Renius:
Closed-form (R,S) inventory policies for perishable inventory systems with supply chain disruptions. INFOR Inf. Syst. Oper. Res. 61(3): 327-367 (2023) - Emily Dunkel, Jason Swope, Alberto Candela, Lauren West, Steve A. Chien, Zaid J. Towfic, Léonie Buckley, Juan Romero-Cañas, José Luis Espinosa-Aranda, Elena Hervas-Martin, Mark R. Fernandez:
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications. J. Aerosp. Inf. Syst. 20(10): 660-674 (2023) - Dirk Eilander, Hélène Boisgontier, Laurène J. E. Bouaziz, Joost Buitink, Anaïs Couasnon, Brendan Dalmijn, Mark Hegnauer, Tjalling de Jong, Sibren Loos, Indra Marth, Willem van Verseveld:
HydroMT: Automated and reproducible model building and analysis. J. Open Source Softw. 8(83): 4897 (2023) - Eddie Seabrook, Laurenz Wiskott:
A Tutorial on the Spectral Theory of Markov Chains. Neural Comput. 35(11): 1713-1796 (2023) - Clemens Neudorfer, Konstantin Butenko, Simon Oxenford, Nanditha Rajamani, Johannes Achtzehn, Lukas Goede, Barbara Hollunder, Ana Sofía Ríos, Lauren Hart, Jordy Tasserie, Kavisha B. Fernando, Thuy Anh Khoa Nguyen, Bassam Al-Fatly, Matteo Vissani, Michael D. Fox, Robert Mark Richardson, Ursula van Rienen, Andrea A. Kühn, Andreas Dominik Husch, Enrico Opri, Till Anselm Dembek, Ningfei Li, Andreas Horn:
Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks. NeuroImage 268: 119862 (2023) - Fuqin Li, David L. B. Jupp, Brian L. Markham, Ian C. Lau, Cindy Ong, Guy Byrne, Medhavy Thankappan, Simon Oliver, Timothy J. Malthus, Peter Fearns:
Choice of Solar Spectral Irradiance Model for Current and Future Remote Sensing Satellite Missions. Remote. Sens. 15(13): 3391 (2023) - Josselin Garnier, Ziyu Lu, Laurent Mertz:
A Piecewise Deterministic Markov Process Approach Modeling a Dry Friction Problem with Noise. SIAM J. Appl. Math. 83(4): 1392-1421 (2023) - Shunli Zhang, Laurence T. Yang, Yue Zhang, Zhixing Lu, Jing Yu, Zongmin Cui:
Tensor-Based Baum-Welch Algorithms in Coupled Hidden Markov Model for Responsible Activity Prediction. IEEE Trans. Comput. Soc. Syst. 10(6): 2924-2937 (2023) - Huazhong Liu, Jiawei Wang, Xiaoxue Yin, Jihong Ding, Laurence T. Yang, Tong Yao, Jing Yang, Yuan Gao:
Tensor-Train-Based Multiuser Multivariate Multiorder Physical Markov Process Informed Multimodal Prediction for Industrial Trajectory Applications. IEEE Trans. Ind. Informatics 19(8): 8900-8909 (2023) - Luigi Bellomarini, Eleonora Laurenza, Emanuel Sallinger, Evgeny Sherkhonov:
Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs. Theory Pract. Log. Program. 23(3): 507-534 (2023) - Lauren Scott, Lynne M. Coventry, Marta E. Cecchinato, Mark Warner:
"I figured her feeling a little bit bad was worth it to not spread that kind of hate": Exploring how UK families discuss and challenge misinformation. CHI 2023: 660:1-660:15 - Heiko B. Weber, Sandor Brockhauser, Christoph T. Koch, Laurenz Rettig, Martin Aeschlimann, Walid Hetaba, Marius Grundmann, Markus Kühbach, Michael Krieger:
Research Data Management for Experiments in Solid-State Physics: Concepts. CoRDI 2023
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