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Publication search results
found 510 matches
- 2024
- Jianpeng Tang, Xugang Xi, Ting Wang, Junhong Wang, Lihua Li, Zhong Lü:
Influence of neuromuscular electrical stimulation pulse waveform on corticomuscular coupling and the brain functional connectivity network. Biomed. Signal Process. Control. 88(Part A): 105627 (2024) - Vesa Kuikka:
Detecting Overlapping Communities Based on Influence-Spreading Matrix and Local Maxima of a Quality Function. Comput. 12(4): 85 (2024) - Fatemeh Chahkoutahi, Mehdi Khashei:
Influence of cost/loss functions on classification rate: A comparative study across diverse classifiers and domains. Eng. Appl. Artif. Intell. 128: 107415 (2024) - Aurore E. F. Denjean, Jordan Rio, Ilaria Ciofini, Marie-Eve L. Perrin, Pierre-Adrien Payard:
Computed versus experimental energy barriers in solution: Influence of the type of the density functional approximation. J. Comput. Chem. 45(27, October): 2284-2293 (2024) - Retraction Note: Algorithm research on the influence of financing structure and cash holding on enterprise innovation based on system GMM model function theory. J. Comb. Optim. 47(3): 16 (2024)
- K. B. Badri Narayanan, Sreekumar Muthusamy:
Investigation on the influence of a new trapezoidal-triangular membership function in IT2FLS with type-reductions for a manufacturing application. J. Intell. Fuzzy Syst. 46(1): 1167-1182 (2024) - Viktor Weiss, Viktória Kokosová, Zdenek Valenta, Irena Dolezalova, Marek Baláz, Silvia Mangia, Shalom Michaeli, Lubomir Vojtisek, Igor Nestrasil, Roman Herzig, Pavel Filip:
Distance from main arteries influences microstructural and functional brain tissue characteristics. NeuroImage 285: 120502 (2024) - Xuepeng Huang, Zhenzhong Wang, Lucheng Li, Qi Luo:
Research on the modification of the tool influence function for robotic bonnet polishing with stiffness modeling. Robotics Comput. Integr. Manuf. 86: 102674 (2024) - Xiangxiang Chen, Tianhao Liu, Yunfei Ouyang, Shiyi Huang, Zhaoyang Zhang, Fangzheng Liu, Lu Qiu, Chicheng Wang, Xincheng Lin, Junyan Chen, Yanbai Shen:
Influence of Different Pt Functionalization Modes on the Properties of CuO Gas-Sensing Materials. Sensors 24(1): 120 (2024) - Emilly Cássia Soares Furtado, Yury Souza De Azevedo, Deizyane dos Reis Galhardo, Iasmin Pereira Cabral Miranda, Maria Eunice Chagas Oliveira, Pablo Fabiano Moura das Neves, Lindinalva Brasil Monte, Erica Feio Carneiro Nunes, Elizabeth Alves Gonçalves Ferreira, Bianca Callegari, Givago Silva Souza, João Simão de Melo-Neto:
Influence of Gestational Age on Pelvic Floor Muscle Activity, Plantar Contact, and Functional Mobility in High-Risk Pregnant Women: A Cross-Sectional Study. Sensors 24(14): 4615 (2024) - Alexis Laly, Elisabeth Rosnet, Nicolas Houel:
Influence of a Three-Month Mixed Reality Training on Gait Speed and Cognitive Functions in Adults with Intellectual Disability: A Pilot Study. Sensors 24(6): 1821 (2024) - Ana Mallo-López, Alicia Cuesta-Gómez, Teresa E. Fernández-Pardo, Ángela Aguilera-Rubio, Francisco Molina Rueda:
Influence of Impaired Upper Extremity Motor Function on Static Balance in People with Chronic Stroke. Sensors 24(13): 4311 (2024) - Mark Ainsworth, Shuai Jiang:
Uniform Substructuring Preconditioners for High Order FEM on Triangles and the Influence of Nodal Basis Functions. SIAM J. Numer. Anal. 62(4): 1465-1491 (2024) - Somnath Banerjee, Maulindu Sarkar, Punyajoy Saha, Binny Mathew, Animesh Mukherjee:
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks. LREC/COLING 2024: 9061-9072 - Brian Cho, Yaroslav Mukhin, Kyra Gan, Ivana Malenica:
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters. ICML 2024 - Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan:
AI Alignment with Changing and Influenceable Reward Functions. ICML 2024 - Nathan H. Ng, Roger Baker Grosse, Marzyeh Ghassemi:
Measuring Stochastic Data Complexity with Boltzmann Influence Functions. ICML 2024 - Alycia N. Carey, Minh-Hao Van, Xintao Wu:
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions. IJCNN 2024: 1-10 - Dmitriy Klyushin, Oleksandr Maistrenko:
Influence of chaos on activation functions in Hopfield networks. MoMLeT 2024: 40-54 - Gilad Cohen, Raja Giryes:
Membership Inference Attack Using Self Influence Functions. WACV 2024: 4880-4889 - Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen:
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM 2024: 693-701 - Haonan Wang, Ziwei Wu, Jingrui He:
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes. WSDM 2024: 721-730 - Somnath Banerjee, Maulindu Sarkar, Punyajoy Saha, Binny Mathew, Animesh Mukherjee:
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks. CoRR abs/2402.14702 (2024) - Raj Agrawal, Sam Witty, Andy Zane, Eli Bingham:
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions. CoRR abs/2403.00158 (2024) - Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu:
Outlier Gradient Analysis: Efficiently Improving Deep Learning Model Performance via Hessian-Free Influence Functions. CoRR abs/2405.03869 (2024) - Sang Keun Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Minsoo Kang, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff G. Schneider, Eduard H. Hovy, Roger B. Grosse, Eric P. Xing:
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions. CoRR abs/2405.13954 (2024) - Ziao Yang, Han Yue, Jian Chen, Hongfu Liu:
Revisit, Extend, and Enhance Hessian-Free Influence Functions. CoRR abs/2405.17490 (2024) - Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan:
AI Alignment with Changing and Influenceable Reward Functions. CoRR abs/2405.17713 (2024) - Jordan K. Matelsky, Lyle H. Ungar, Konrad P. Kording:
Empirical influence functions to understand the logic of fine-tuning. CoRR abs/2406.00509 (2024) - Nathan Ng, Roger B. Grosse, Marzyeh Ghassemi:
Measuring Stochastic Data Complexity with Boltzmann Influence Functions. CoRR abs/2406.02745 (2024)
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