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Parametric Surface Fitting on Airborne Lidar Point Clouds for Building Reconstruction

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Erratic Noise Attenuation Using Double Sparsity Dictionary Learning Method

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Robust hybrid learning approach for adaptive neuro-fuzzy inference systems

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Optimization of retinotopy constrained source estimation constrained by prior

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Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach

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Random matrix approach to the dynamics of stock inventory variations

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On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings

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Local Kernels That Approximate Bayesian Regularization and Proximal Operators

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Toward the ICRF3: Astrometric Comparison of the USNO 2016A VLBI Solution with ICRF2 and Gaia DR1

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Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals

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Temporal super-resolution microscopy using a hue-encoded shutter

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On the finite sample breakdown points of redescending M-estimates of location

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Detection and Repair of Poorly Converged Optimization Runs

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A comparison of distributional considerations with statistical analysis of resting state fMRI at 3T and 7T

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PIC: a data reduction algorithm for integral field spectrographs

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A robust regression analysis of recruitment in fisheries

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Improvements in robust 2D visual servoing

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Jackknifing Fixed Points of Iterations

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Real-time motion analysis with linear-programming

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Iteratively Reweighted Least Squares

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Motion estimation and segmentation in depth and intensity videos

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Survey of remote sensing image registration based on deep learning

Xinghua, L. I., Ai, W., Ruitao, F., & Shaojie, L. U. O. (2023) · National Remote Sensing Bulletin · doi:10.11834/jrs.20235012 · Cited by 13

Insights into the Effects of Co-Regulated Factors on Li 1.3 Al 0.3 Ti 1.7 (PO 4 ) 3 Solid Electrolyte Preparation: Sources, Calcination Temperatures, and Sintering Temperatures

Luo, C., Shuai, Q., Zhao, G., Zhang, M., Wu, B., Fu, X., Sun, Y., Wang, Y., & Hua, Q. (2023) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.3c09236 · Cited by 13

Radiation-Variation Insensitive Coarse-to-Fine Image Registration for Infrared and Visible Remote Sensing Based on Zero-Shot Learning

Li, J., Bi, G., Wang, X., Nie, T., & Huang, L. P. (2024) · Remote Sensing · doi:10.3390/rs16020214 · Cited by 13

Addressing the financial impact of natural disasters in the era of climate change

Bufalo, M., Ceci, C., & Orlando, G. (2024) · The North American Journal of Economics and Finance · doi:10.1016/j.najef.2024.102152 · Cited by 13

Autistic Traits Modulate Social Synchronizations Between School-Aged Children: Insights From Three fNIRS Hyperscanning Experiments

Zhou, X., Hong, X., & Wong, P. C. M. (2024) · Psychological Science · doi:10.1177/09567976241237699 · Cited by 14

Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach

Santiago-Collazo, F. L., Bilskie, M. V., Bacopoulos, P., & Hagen, S. C. (2024) · Water Resources Research · doi:10.1029/2023wr035718 · Cited by 13

A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures

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Consistent Discretization and Minimization of the L1 Norm on Manifolds

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View-Consistent MeshFlow for Stereoscopic Video Stabilization

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Investigation of out-of-plane motion artifacts in 2D noninvasive vascular ultrasound elastography

Li, H., Chayer, B., Cardinal, M. R., Muijsers, J. J. M., van den Hoven, M., Qin, Z., Gesnik, M., Soulez, G., Lopata, R. G. P., & Cloutier, G. (2018) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aaf0d3 · Cited by 13

Influence of Canopy Cover on Surface Temperature

Vasconcelos, V. V., & Sacht, H. M. (2020) · Revista Brasileira de Geografia Física · doi:10.26848/rbgf.v13.07.p3275-3286 · Cited by 13

Towards the theoretical/experimental description of the evolution of material properties at frictional interfaces in metal forming processes

Alexandrov, S., Jeng, Y., Kuo, C.-Y., & Chen, C. (2022) · Tribology International · doi:10.1016/j.triboint.2022.107518 · Cited by 13

Denoising land-based controlled-source electromagnetic data based on a same-site noise reference channel

Yang, Y., Zhang, H., Zhu, Y., Zhou, C., & Sun, H. (2023) · Geophysical Journal International · doi:10.1093/gji/ggad361 · Cited by 13

Blood Pressure Drop Prediction by using HRV Measurements in Orthostatic Hypotension

Sannino, G., Melillo, P., Stranges, S., Pietro, G. D., & Pecchia, L. (2015) · Journal of Medical Systems · doi:10.1007/s10916-015-0292-5 · Cited by 13

Short term Heart Rate Variability to predict blood pressure drops due to standing: a pilot study

Sannino, G., Melillo, P., Stranges, S., Pietro, G. D., & Pecchia, L. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-15-s3-s2 · Cited by 13

Mass Measurement Errors of Fourier-Transform Mass Spectrometry (FTMS): Distribution, Recalibration, and Application

Zhang, J., Ma, J., Dou, L., Wu, S., Qian, X., Xie, H., Zhu, Y., & He, F. (2008) · Journal of Proteome Research · doi:10.1021/pr8005588 · Cited by 13

Joint Motion Estimation and Layer Segmentation in Transparent Image Sequences—Application to Noise Reduction in X-Ray Image Sequences

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Automatic evaluation of singing enthusiasm for karaoke

Daido, R., Ito, M., Makino, S., & Ito, A. (2012) · Computer Speech & Language · doi:10.1016/j.csl.2012.07.007 · Cited by 13

Analysis of Ocean Tide Loading in Differential InSAR Measurements

Peng, W., Wang, Q., & Cao, Y. (2017) · Remote Sensing · doi:10.3390/rs9020101 · Cited by 13

Prediction of penetration in one-sided fillet welds by in-process joint gap monitoring—an experimental study

Sikström, F., & Öberg, A. E. (2017) · Welding in the World · doi:10.1007/s40194-017-0448-7 · Cited by 13

Early prediction of long-term tactile object recognition performance after sensorimotor stroke

Abela, E., Missimer, J. H., Pastore‐Wapp, M., Krammer, W., Wiest, R., & Weder, B. (2019) · Cortex · doi:10.1016/j.cortex.2019.01.018 · Cited by 13

Linking Sleep to Externalizing Behavioral Difficulties: A Longitudinal Psychometric Survey in a Cohort of Italian School-Age Children

Muratori, P., Menicucci, D., Lai, E. Y., Battaglia, F., Bontempelli, L., Chericoni, N., & Gemignani, A. (2019) · The Journal of Primary Prevention · doi:10.1007/s10935-019-00547-2 · Cited by 13

Effortful verb retrieval from semantic memory drives beta suppression in mesial frontal regions involved in action initiation

Pavlova, A. A., Butorina, A. V., Nikolaeva, A. Y., Prokofyev, A. O., Ulanov, M., Bondarev, D. P., & Stroganova, T. A. (2019) · Human Brain Mapping · doi:10.1002/hbm.24624 · Cited by 13

M-estimation-based robust and precise baseline determination for formation-flying satellites

Guo, X., & Zhao, Q. (2021) · GPS Solutions · doi:10.1007/s10291-020-01068-w · Cited by 13

Sensor fusion to enable next generation low cost Night Vision systems

Schweiger, R., Franz, S., Löhlein, O., Ritter, W., Källhammer, J.-E., Franks, J. W., & Krekels, T. (2010) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.855932 · Cited by 13

Robust time-varying parametric modelling of voiced speech

Ha, P.-B., & Ann, S. (1995) · Signal Processing · doi:10.1016/0165-1684(94)00137-o · Cited by 13

Allometry and size structure of trees in two ancient snow forests in coastal British Columbia

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Segmentation-based object tracking using image warping and Kalman filtering

Huang, Y., Huang, T. S., & Niemann, H. J. (2003) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2002.1039042 · Cited by 13

Robust Hessian Locally Linear Embedding Techniques for High-Dimensional Data

Xing, X., Du, S., & Wang, K. (2016) · Algorithms · doi:10.3390/a9020036 · Cited by 13

Practical Robust Fit of Enzyme Inhibition Data

Kuzmič, P., Hill, C. M., & Janc, J. W. (2004) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(04)83015-5 · Cited by 13

Crowdsourced intersection parameters: A generic approach for extraction and confidence estimation

Ruhhammer, C., Hirsenkorn, N., Klanner, F., & Stiller, C. (2014) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2014.6856591 · Cited by 12

Methods of investigating the demagnetization factors within assemblies of superparamagnetic nanoparticles

McCann, S. M., Leach, J., Reddy, S. M., & Mercer, T. (2022) · AIP Advances · doi:10.1063/5.0095899 · Cited by 12

Mixture extreme learning machine algorithm for robust regression

Zhao, S., Chen, X.-A., Wu, J., & Wang, Y. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.111033 · Cited by 12

Satellite-based assessment of national carbon monoxide concentrations for air quality reporting in Finland

Karppinen, T., Sundström, A., Lindqvist, H., Hatakka, J., & Tamminen, J. (2023) · Remote Sensing Applications Society and Environment · doi:10.1016/j.rsase.2023.101120 · Cited by 12

Early exclusive enteral feeding in 30–33 weeks gestation infants: a randomized controlled trial

Alshaikh, B. N., Hassan, O., Alburaki, W., Dharel, D., Elsharkawy, A., Singal, N., Yusuf, K., & Awad, E. A. (2025) · Journal of Perinatology · doi:10.1038/s41372-025-02217-0 · Cited by 12

L-Dopa-induced changes in aperiodic bursts dynamics relate to individual clinical improvement in Parkinson’s disease

Agouram, H., Neri, M., Angiolelli, M., Depannemaecker, D., Bahuguna, J., Schwey, A., Régis, J. M., Carron, R., Malfait, N., Eusébio, A., et al. (2025) · npj Parkinson s Disease · doi:10.1038/s41531-025-01024-w · Cited by 12

Mobiscan3D: A Low Cost Framework for Real Time Dense 3D Reconstruction on Mobile Devices

Bhowmick, B., Mallik, A., & Saha, A. (2014) · IEEE International Conference on Ubiquitous Intelligence and Computing, Autonomic and Trusted Computing, and Scalable Computing and Communications (UIC-ATC-ScalCom) · doi:10.1109/uic-atc-scalcom.2014.79 · Cited by 12

Representation of facial identity includes expression variability

Redfern, A. S., & Benton, C. P. (2018) · Vision Research · doi:10.1016/j.visres.2018.05.004 · Cited by 12

A specific neural substrate predicting current and future impulsivity in young adults

Steele, J., Bertocci, M. A., Eckstrand, K., Chase, H. W., Stiffler, R. S., Aslam, H. A., Lockovich, J., Bebko, G. M., & Phillips, M. L. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01017-0 · Cited by 14

ECG-based monitoring of blood potassium concentration: Periodic versus principal component as lead transformation for biomarker robustness

Palmieri, F., Gomis, P., Ruiz, J. E., Ferreira, D., Martín-Yebra, A., Pueyo, E., Martí­nez, J. P., Ramírez, J., & Laguna, P. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102719 · Cited by 12

ROBUST ESTIMATION IN ROBOT VISION AND PHOTOGRAMMETRY: A NEW MODEL AND ITS APPLICATIONS

Li, J., Zhang, Y., & Hu, Q. (2021) · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-annals-v-1-2021-137-2021 · Cited by 12

It Is All In The Weights: Robust Rotation Averaging Revisited

Sidhartha, C., & Govindu, V. M. (2021) · International Conference on 3D Vision (3DV) · doi:10.1109/3dv53792.2021.00121 · Cited by 12

A robust double-parallel extreme learning machine based on an improved M-estimation algorithm

Zha, L., Ma, K., Li, G., Fang, Q., & Hu, X. (2022) · Advanced Engineering Informatics · doi:10.1016/j.aei.2022.101606 · Cited by 12

Basic SSA

Эдуардовна, Г. Н., & Zhigljavsky, A. A. (2020) · SpringerBriefs in statistics · doi:10.1007/978-3-662-62436-4_2 · Cited by 12

Cortical thickness of the left parahippocampal cortex links central hearing and cognitive performance in aging

Li, R., Miao, X., Han, B., & Li, J. (2023) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14971 · Cited by 13

Measurement of the centrifugal particle mass analyzer transfer function

Naseri, A., Johnson, T. J., Smallwood, G. J., & Olfert, J. S. (2023) · Aerosol Science and Technology · doi:10.1080/02786826.2023.2228378 · Cited by 12

Development of Flood Early Warning Frameworks for Small Streams in Korea

Cheong, T.-S., Choi, C., Ye, S., Shin, J., Kim, S., & Koo, K.-M. (2023) · Water · doi:10.3390/w15101808 · Cited by 12

A Large-Scale Homography Benchmark

Baráth, D., Mishkin, D., Polic, M., Förstner, W., & Matas, J. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.02046 · Cited by 15

Directional results and absolute archaeointensity determination by the classical Thellier and the multi-specimen DSC protocols for two kilns excavated at Osterietta, Italy

Tema, E., Camps, P., Ferrara, E., & Poidras, T. (2015) · Studia Geophysica et Geodaetica · doi:10.1007/s11200-015-0413-0 · Cited by 12

Comparison of NOGA Endocardial Mapping and Cardiac Magnetic Resonance Imaging for Determining Infarct Size and Infarct Transmurality for Intramyocardial Injection Therapy Using Experimental Data

Pávó, N., András, J., Emmert, M. Y., Strebinger, G., Wolint, P., Zimmermann, M., Ankersmit, H. J., Hoerstrup, S. P., Maurer, G., & Gyöngyösi, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0113245 · Cited by 12

Nerve Conduction Studies: Clinical Challenges and Engineering Solutions

Kong, X., Lesser, E. A., & Gozani, S. N. (2010) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2009.935714 · Cited by 12

Unloaded Shortening Velocity of Voluntarily and Electrically Activated Human Dorsiflexor Muscles In Vivo

Sasaki, K., & Ishii, N. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013043 · Cited by 12

Regression based principal component analysis for sparse functional data with applications to screening growth paths

Zhang, W., & Wei, Y. (2015) · The Annals of Applied Statistics · doi:10.1214/15-aoas811 · Cited by 12

Interpretation of controlled-source electromagnetic data from iron ores under rough topography

Oh, S., Noh, K., Seol, S. J., Byun, J., & Yi, M. (2015) · Journal of Applied Geophysics · doi:10.1016/j.jappgeo.2015.10.007 · Cited by 12

Robust Estimation for Weibull Distribution in Partially Accelerated Life Tests with Early Failures

Cheng, Y., & Sheu, S. (2015) · Quality and Reliability Engineering International · doi:10.1002/qre.1928 · Cited by 12

A Dynamic Model of a Photovoltaic Generator Based on Experimental Data

Piazza, M. C. D., Ragusa, A., Luna, M., & Vitale, G. F. (2010) · Renewable Energy and Power Quality Journal · doi:10.24084/repqj08.679 · Cited by 12

The universal scaling characteristics of tropical oceanic rain clusters

Teo, C., Huynh, H. N., Koh, T., Cheung, K. K. W., Legras, B., Chew, L. Y., & Norford, L. K. (2017) · Journal of Geophysical Research Atmospheres · doi:10.1002/2016jd025921 · Cited by 12

Characterization of steel buildings by means of non-destructive testing methods

Doktor, M., Fox, C., Kurz, W., & Stockis, J. (2018) · Journal of Mathematics in Industry · doi:10.1186/s13362-018-0052-5 · Cited by 12

A general framework for frequentist model averaging

Mitra, P., Lian, H., Mitra, R., Liang, H., & Xie, M.-G. (2019) · Science China Mathematics · doi:10.1007/s11425-018-9403-x · Cited by 12

Bodyfitr: Robust Automatic 3D Human Body Fitting

Saint, A., Shabayek, A. E. R., Cherenkova, K., Gusev, G., Aouada, D., & Ottersten, B. (2019) · International Conference on Information Photonics · doi:10.1109/icip.2019.8803819 · Cited by 14

A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing

Liu, W., Zhang, P., Lei, Y., Huang, X., Yang, J., & Reid, I. D. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6830 · Cited by 12

3D sparse inversion of magnetic amplitude data when strong remanence exists

Li, Z., & Yao, C. (2020) · Acta Geophysica · doi:10.1007/s11600-020-00399-z · Cited by 12

Energy-Based Coarse Graining of the Lattice-Discrete Particle Model

Abdellatef, M., & Alnaggar, M. (2020) · Journal of Engineering Mechanics · doi:10.1061/(asce)em.1943-7889.0001743 · Cited by 12

A robust method for random noise suppression based on the Radon transform

Zhāng, Q., Wang, H., Chen, W., & Huang, G. (2020) · Journal of Applied Geophysics · doi:10.1016/j.jappgeo.2020.104183 · Cited by 12

Social perception assessment of hydropower sustainability: A stepwise logistic regression modeling

Cortés‐Borda, D., Polanco, J., & Escobar-Sierra, M. (2022) · Environmental Science & Policy · doi:10.1016/j.envsci.2022.03.026 · Cited by 13

Least squares image matching: A comparison of the performance of robust estimators

Li, Z., & Jinling Wang, A. (2014) · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsannals-ii-1-37-2014 · Cited by 12

Robust M-estimates and generalized M-estimates for autoregressive parameter estimation

Basu, A., & Paliwal, K. K. (2003) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.1989.176958 · Cited by 12

Assessment of ice flow dynamics in the zone close to the calving front of Antarctic ice shelves

Wearing, M., Hindmarsh, R. C. A., & Worster, M. G. (2015) · Journal of Glaciology · doi:10.3189/2015jog15j116 · Cited by 12

Simultaneous source separation using a robust Radon transform

Ibrahim, A., & Sacchi, M. D. (2013) · Second International Meeting for Applied Geoscience & Energy · doi:10.1190/segam2013-0447.1 · Cited by 12

What we know after twelve years developing and deploying test data analytics solutions

Butler, K. M., Nahar, A., & Daasch, W. R. (2016) · IEEE International Test Conference (ITC) · doi:10.1109/test.2016.7805844 · Cited by 12

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement

Lin, M., Song, X., Qian, Q., Li, H., Sun, L. Q., Shenghuo Zhu, B., & Jin, R. (2019) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3292500.3330695 · Cited by 12

Robust estimation techniques for target-motion analysis using passively sensed transient signals

Carević, D. (2003) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2003.813942 · Cited by 12

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Unsupervised Homography Estimation With Pixel-Level SVDD

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Untitled work

Grieve (2000) · doi:10.1002/(sici)1522-2594(200005)43:5

A Note on Computing Robust Regression Estimates Via Iteratively Reweighted Least Squares

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Design of an S Function for Robust Regression Using Iteratively Reweighted Least Squares

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Robust regression:a weighted least squares approach

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A System of Subroutines For Iteratively Reweighted Least Squares Computations

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