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Publication search results
found 711 matches
- 2024
- Dennis Agnew, Alvaro del Aguila, Janise McNair:
Enhanced Network Metric Prediction for Machine Learning-Based Cyber Security of a Software-Defined UAV Relay Network. IEEE Access 12: 54202-54219 (2024) - Radowanul Haque, Aftab Ali, Sally I. McClean, Ian Cleland, Joost Noppen:
Heterogeneous Cross-Project Defect Prediction Using Encoder Networks and Transfer Learning. IEEE Access 12: 409-419 (2024) - Sheldon McCall, Shina Samuel Kolawole, Afreen Naz, Liyun Gong, Syed Waqar Ahmed, Pandey Shourya Prasad, Miao Yu, James Wingate, Saeid Pourroostaei Ardakani:
Computer Vision Based Transfer Learning-Aided Transformer Model for Fall Detection and Prediction. IEEE Access 12: 28798-28809 (2024) - Xinhao Yi, Siwei Liu, Yu Wu, Douglas McCloskey, Zaiqiao Meng:
BPP: a platform for automatic biochemical pathway prediction. Briefings Bioinform. 25(5) (2024) - Junde Chen, Yuxin Wen, Michael Pokojovy, Tzu-Liang (Bill) Tseng, Peter McCaffrey, Alex Vo, Eric Walser, Scott Moen:
Multi-modal learning for inpatient length of stay prediction. Comput. Biol. Medicine 171: 108121 (2024) - Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Daniel C. Alexander, Arjun Nair, Joseph Jacob:
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. Comput. Medical Imaging Graph. 116: 102399 (2024) - Albe Bing Zhe Chai, Bee Theng Lau, Mark Tee Kit Tsun, Chris McCarthy:
Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data. Eng. Appl. Artif. Intell. 137: 109086 (2024) - Dong-Hyun Kim, J. Michael Johnson, Keith C. Clarke, Hilary K. McMillan:
Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions. Environ. Model. Softw. 172: 105893 (2024) - Maryam Khalid, Elizabeth B. Klerman, Andrew W. McHill, Andrew J. K. Phillips, Akane Sano:
SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 37:1-37:34 (2024) - Andrew T. McNutt, David Ryan Koes:
Open-ComBind: harnessing unlabeled data for improved binding pose prediction. J. Comput. Aided Mol. Des. 38(1): 3 (2024) - Staffan Arvidsson McShane, Ulf Norinder, Jonathan Alvarsson, Ernst Ahlberg, Lars Carlsson, Ola Spjuth:
CPSign: conformal prediction for cheminformatics modeling. J. Cheminformatics 16(1): 75 (2024) - Esther Heid, Kevin P. Greenman, Yunsie Chung, Shih-Cheng Li, David E. Graff, Florence H. Vermeire, Haoyang Wu, William H. Green Jr., Charles McGill:
Chemprop: A Machine Learning Package for Chemical Property Prediction. J. Chem. Inf. Model. 64(1): 9-17 (2024) - Sean P. McGowan, William S. P. Robertson, Chantelle Blachut, Sanjeeva Balasuriya:
Optimal Reconstruction of Vector Fields from Data for Prediction and Uncertainty Quantification. J. Nonlinear Sci. 34(4): 73 (2024) - Robin D. Blythe, Sundresan Naicker, Nicole M. White, Raelene Donovan, Ian A. Scott, Andrew McKelliget, Steven M. McPhail:
Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care. BMC Medical Informatics Decis. Mak. 24(1): 241 (2024) - Pedro Cardoso, John M. Dennis, Jack Bowden, Beverley M. Shields, Trevelyan J. McKinley:
Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy. BMC Medical Informatics Decis. Mak. 24(1): 12 (2024) - Connor McLaughlin, Yi Lu:
Multi-class vulnerability prediction using value flow and graph neural networks. Neural Comput. Appl. 36(25): 15869-15891 (2024) - Gengyi Sun, Sarra Habchi, Shane McIntosh:
RavenBuild: Context, Relevance, and Dependency Aware Build Outcome Prediction. Proc. ACM Softw. Eng. 1(FSE): 996-1018 (2024) - Yongjing Mao, Ryan D. R. Turner, Joseph M. McMahon, Diego F. Correa, Debbie Chamberlain, Michael St. J. Warne:
Predicting Ground Cover with Deep Learning Models - An Application of Spatio-Temporal Prediction Methods to Satellite-Derived Ground Cover Maps in the Great Barrier Reef Catchments. Remote. Sens. 16(17): 3193 (2024) - Michael S. Watt, Andrew Holdaway, Pete Watt, Grant D. Pearse, Melanie E. Palmer, Benjamin S. C. Steer, Nicolò Camarretta, Emily McLay, Stuart Fraser:
Early Prediction of Regional Red Needle Cast Outbreaks Using Climatic Data Trends and Satellite-Derived Observations. Remote. Sens. 16(8): 1401 (2024) - Buck Shlegeris, Fabien Roger, Lawrence Chan, Euan McLean:
Language Models Are Better Than Humans at Next-token Prediction. Trans. Mach. Learn. Res. 2024 (2024) - Hui Song, Mahdi Jalili, Xinghuo Yu, Peter McTaggart:
Two-Stage Multitasking Energy Demand Prediction. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1554-1565 (2024) - Fangjun Pu, Taoran Lu, Peng Yin, Sean McCarthy, Jeeva Raj Arumugam, Ashwin Natesan, Vaibhav Valvaiker, Jay N. Shingala, Xinwei Li, Ru-Ling Liao, Jie Chen, Yan Ye, Fan Wang, Lai Zhang, Yue Yu, Haoping Yu, Dong Wang:
Intra Template Matching Prediction with Fusion Techniques. DCC 2024: 93-102 - Thomas Jänich, Graham McDonald, Iadh Ounis:
Query Exposure Prediction for Groups of Documents in Rankings. ECIR (2) 2024: 143-158 - Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies:
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search. ICASSP 2024: 686-690 - Samuel McCauley, Benjamin Moseley, Aidin Niaparast, Shikha Singh:
Incremental Topological Ordering and Cycle Detection with Predictions. ICML 2024 - Mona Furukawa, Daniel R. McGowan, Bartlomiej W. Papiez:
Prediction of Recurrence Free Survival of Head and Neck Cancer Using PET/CT Radiomics and Clinical Information. ISBI 2024: 1-5 - Lars Ullrich, Alex McMaster, Knut Graichen:
Transfer Learning Study of Motion Transformer-based Trajectory Predictions*. IV 2024: 110-117 - Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace:
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. NAACL-HLT 2024: 7193-7210 - Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar:
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM 2024: 334-342 - Niall McGuire, Yashar Moshfeghi:
Prediction of the Realisation of an Information Need: An EEG Study. SIGIR 2024: 2584-2588
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