Concept

Train

OpenAlex ID: C190839683

The disintegration of wave trains on deep water Part 1. Theory

1967 · T. Brooke Benjamin, J. E. Feir · Journal of Fluid Mechanics · 2,554

Exploratory Undersampling for Class-Imbalance Learning

2008 · Xu-Ying Liu, Jianxin Wu, et al. · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2,474

Parameter-Efficient Transfer Learning for NLP

2019 · Houlsby, Neil, Giurgiu, Andrei, et al. · arXiv (Cornell University) · 2,269

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Dislocations in wave trains

1974 · John Frederick Nye, Michael Victor Berry · Proceedings of the Royal Society of London A Mathematical and Physical Sciences · 2,196

Federated Learning with Non-IID Data

2018 · Zhao, Yue, Li, Meng, et al. · arXiv (Cornell University) · 2,075

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Model-based fault-detection and diagnosis – status and applications

2005 · Rolf Isermann · Annual Reviews in Control · 1,579

Neuronal Spike Trains and Stochastic Point Processes

1967 · Donald H. Perkel, George L. Gerstein, et al. · Biophysical Journal · 1,488

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Neuronal Spike Trains and Stochastic Point Processes

1967 · Donald H. Perkel, George L. Gerstein, et al. · Biophysical Journal · 1,301

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Model-Based Fault Detection and Diagnosis - Status and Applications

2004 · Rolf Isermann · IFAC Proceedings Volumes · 1,262

Designing games with a purpose

2008 · Luis von Ahn, Laura Dabbish · Communications of the ACM · 1,154

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Dynamics of neuronal firing correlation: modulation of "effective connectivity"

1989 · A. M. Aertsen, G. L. Gerstein, et al. · Journal of Neurophysiology · 1,085

Analysis of Recent Bridge Failures in the United States

2003 · Kumalasari Wardhana, Fabian C. Hadipriono · Journal of Performance of Constructed Facilities · 1,039

Entropy and Information in Neural Spike Trains

1998 · S. P. Strong, Roland Koberle, et al. · Physical Review Letters · 967

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The Fourier approach to the identification of functional coupling between neuronal spike trains

1989 · J.R. Rosenberg, A.M. Amjad, et al. · Progress in Biophysics and Molecular Biology · 879

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Lifelong Learning with Dynamically Expandable Networks

2017 · Yoon, Jaehong, Yang, Eunho, et al. · arXiv (Cornell University) · 787

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A Survey of Optimization Models for Train Routing and Scheduling

1998 · Jean-François Cordeau, Paolo Toth, et al. · Transportation Science · 780

The think aloud method: A practical guide to modelling cognitive processes

1995 · Paul Solomon · Information Processing & Management · 737

Attosecond Pulse Trains Using High–Order Harmonics

1996 · Philippe Antoine, Anne L'Huillier, et al. · Physical Review Letters · 710

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Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age

2017 · Lynn M. Hulse, Hui Xie, et al. · Safety Science · 698

The future mobility of the world population

2000 · Andreas Schafer, David G Victor · Transportation Research Part A Policy and Practice · 673

Proof of a fundamental result in self-similar traffic modeling

1997 · Murad S. Taqqu, Walter Willinger, et al. · ACM SIGCOMM Computer Communication Review · 670

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Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

2007 · J. Zico Kolter, Marcus A. Maloof · 665

Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods

2012 · Adnan Nuhic, Tarik Terzimehic, et al. · Journal of Power Sources · 662

A general approach to linear and non-linear dispersive waves using a Lagrangian

1965 · G. B. Whitham · Journal of Fluid Mechanics · 651

Correlation between neural spike trains increases with firing rate

2007 · Jaime de la Rocha, Brent Doiron, et al. · Nature · 643

Works count: 68,170

Citation count: 457,500