| Year |
Citation |
Score |
| 2023 |
Dax M, Green SR, Gair J, Pürrer M, Wildberger J, Macke JH, Buonanno A, Schölkopf B. Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference. Physical Review Letters. 130: 171403. PMID 37172245 DOI: 10.1103/PhysRevLett.130.171403 |
0.633 |
|
| 2021 |
Dax M, Green SR, Gair J, Macke JH, Buonanno A, Schölkopf B. Real-Time Gravitational Wave Science with Neural Posterior Estimation. Physical Review Letters. 127: 241103. PMID 34951790 DOI: 10.1103/PhysRevLett.127.241103 |
0.608 |
|
| 2020 |
Meding K, Bruijns SA, Schölkopf B, Berens P, Wichmann FA. Phenomenal Causality and Sensory Realism. I-Perception. 11: 2041669520927038. PMID 32537119 DOI: 10.1177/2041669520927038 |
0.749 |
|
| 2019 |
Mastakouri AA, Scholkopf B, Grosse-Wentrup M. Beta Power May Meditate the Effect of Gamma-TACS on Motor Performance. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 5902-5908. PMID 31947193 DOI: 10.1109/EMBC.2019.8856416 |
0.621 |
|
| 2017 |
Hohmann MR, Fomina T, Jayaram V, Emde T, Just J, Synofzik M, Schölkopf B, Schöls L, Grosse-Wentrup M. Case series: Slowing alpha rhythm in late-stage ALS patients. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. 129: 406-408. PMID 29291492 DOI: 10.1016/J.Clinph.2017.11.013 |
0.608 |
|
| 2017 |
Jayaram V, Hohmann M, Just J, Schölkopf B, Grosse-Wentrup M. Task-induced frequency modulation features for brain-computer interfacing. Journal of Neural Engineering. 14: 056015. PMID 28925374 DOI: 10.1088/1741-2552/Aa7778 |
0.624 |
|
| 2017 |
Fomina T, Weichwald S, Synofzik M, Just J, Schöls L, Schölkopf B, Grosse-Wentrup M. Absence of EEG correlates of self-referential processing depth in ALS. Plos One. 12: e0180136. PMID 28662161 DOI: 10.1371/Journal.Pone.0180136 |
0.606 |
|
| 2016 |
Fomina T, Lohmann G, Erb M, Ethofer T, Schölkopf B, Grosse-Wentrup M. Self-regulation of brain rhythms in the precuneus: a novel BCI paradigm for patients with ALS. Journal of Neural Engineering. 13: 066021. PMID 27841159 DOI: 10.1088/1741-2560/13/6/066021 |
0.613 |
|
| 2015 |
Fomina T, Hohmann M, Scholkopf B, Grosse-Wentrup M. Identification of the Default Mode Network with electroencephalography. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 7566-7569. PMID 26738043 DOI: 10.1109/EMBC.2015.7320143 |
0.613 |
|
| 2015 |
Jayaram V, Widmann N, Forster C, Fomina T, Hohmann M, Muller Vom Hagen J, Synofzik M, Scholkopf B, Schols L, Grosse-Wentrup M. Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 6979-6982. PMID 26737898 DOI: 10.1109/EMBC.2015.7319998 |
0.631 |
|
| 2015 |
Grosse-Wentrup M, Janzing D, Siegel M, Schölkopf B. Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach. Neuroimage. PMID 26518633 DOI: 10.1016/J.Neuroimage.2015.10.062 |
0.634 |
|
| 2015 |
Besserve M, Lowe SC, Logothetis NK, Schölkopf B, Panzeri S. Shifts of Gamma Phase across Primary Visual Cortical Sites Reflect Dynamic Stimulus-Modulated Information Transfer. Plos Biology. 13: e1002257. PMID 26394205 DOI: 10.1371/Journal.Pbio.1002257 |
0.717 |
|
| 2015 |
Weichwald S, Meyer T, Özdenizci O, Schölkopf B, Ball T, Grosse-Wentrup M. Causal interpretation rules for encoding and decoding models in neuroimaging. Neuroimage. 110: 48-59. PMID 25623501 DOI: 10.1016/J.Neuroimage.2015.01.036 |
0.645 |
|
| 2015 |
Küffner R, Zach N, Norel R, Hawe J, Schoenfeld D, Wang L, Li G, Fang L, Mackey L, Hardiman O, Cudkowicz M, Sherman A, Ertaylan G, Grosse-Wentrup M, Hothorn T, et al. Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression. Nature Biotechnology. 33: 51-7. PMID 25362243 DOI: 10.1038/Nbt.3051 |
0.726 |
|
| 2014 |
Grosse-Wentrup M, Schölkopf B. A brain-computer interface based on self-regulation of gamma-oscillations in the superior parietal cortex. Journal of Neural Engineering. 11: 056015. PMID 25125446 DOI: 10.1088/1741-2560/11/5/056015 |
0.618 |
|
| 2014 |
Meyer T, Peters J, Zander TO, Schölkopf B, Grosse-Wentrup M. Predicting motor learning performance from Electroencephalographic data. Journal of Neuroengineering and Rehabilitation. 11: 24. PMID 24594233 DOI: 10.1186/1743-0003-11-24 |
0.668 |
|
| 2013 |
Janzing D, Balduzzi D, Grosse-Wentrup M, Schölkopf B. Quantifying causal influences Annals of Statistics. 41: 2324-2358. DOI: 10.1214/13-Aos1145 |
0.616 |
|
| 2013 |
Besserve M, Logothetis NK, Schölkopf B. Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators Advances in Neural Information Processing Systems. |
0.702 |
|
| 2012 |
Grosse-Wentrup M, Schölkopf B. High γ-power predicts performance in sensorimotor-rhythm brain-computer interfaces. Journal of Neural Engineering. 9: 046001. PMID 22713543 DOI: 10.1088/1741-2560/9/4/046001 |
0.628 |
|
| 2011 |
Gomez-Rodriguez M, Grosse-Wentrup M, Hill J, Gharabaghi A, Scholkopf B, Peters J. Towards brain-robot interfaces in stroke rehabilitation. Ieee ... International Conference On Rehabilitation Robotics : [Proceedings]. 2011: 5975385. PMID 22275589 DOI: 10.1109/ICORR.2011.5975385 |
0.622 |
|
| 2011 |
Gomez-Rodriguez M, Peters J, Hill J, Schölkopf B, Gharabaghi A, Grosse-Wentrup M. Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery. Journal of Neural Engineering. 8: 036005. PMID 21474878 DOI: 10.1088/1741-2560/8/3/036005 |
0.611 |
|
| 2011 |
Grosse-Wentrup M, Schölkopf B, Hill J. Causal influence of gamma oscillations on the sensorimotor rhythm. Neuroimage. 56: 837-42. PMID 20451626 DOI: 10.1016/J.Neuroimage.2010.04.265 |
0.627 |
|
| 2011 |
Kitching T, Amara A, Gill M, Harmeling S, Heymans C, Massey R, Rowe B, Schrabback T, Voigt L, Balan S, Bernstein G, Bethge M, Bridle S, Courbin F, Gentile M, et al. Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook Annals of Applied Statistics. 5: 2231-2263. DOI: 10.1214/11-Aoas484 |
0.459 |
|
| 2011 |
Besserve M, Janzing D, Logothetis NK, Schölkopf B. Finding dependencies between frequencies with the kernel cross-spectral density Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2080-2083. DOI: 10.1109/ICASSP.2011.5946735 |
0.698 |
|
| 2010 |
Besserve M, Schölkopf B, Logothetis NK, Panzeri S. Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis. Journal of Computational Neuroscience. 29: 547-66. PMID 20396940 DOI: 10.1007/S10827-010-0236-5 |
0.722 |
|
| 2010 |
Bridle S, Balan ST, Bethge M, Gentile M, Harmeling S, Heymans C, Hirsch M, Hosseini R, Jarvis M, Kirk D, Kitching T, Kuijken K, Lewis A, Paulin-Henriksson S, Schölkopf B, et al. Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing Monthly Notices of the Royal Astronomical Society. 405: 2044-2061. DOI: 10.1111/J.1365-2966.2010.16598.X |
0.419 |
|
| 2010 |
Gomez-Rodriguez M, Grosse-Wentrup M, Peters J, Naros G, Hill J, Schölkopf B, Gharabaghi A. Epidural ECoG online decoding of arm movement intention in hemiparesis Proceedings - Workshop On Brain Decoding: Pattern Recognition Challenges in Neuroimaging, Wbd 2010 - in Conjunction With Theinternational Conference On Pattern Recognition, Icpr 2010. 36-39. DOI: 10.1109/WBD.2010.17 |
0.602 |
|
| 2010 |
Gomez-Rodriguez M, Peterst J, Hin J, Schölkopf B, Gharabaghi A, Grosse-Wentrup M. Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery Conference Proceedings - Ieee International Conference On Systems, Man and Cybernetics. 121-126. DOI: 10.1109/ICSMC.2010.5642217 |
0.602 |
|
| 2009 |
Barbero A, Franz M, van Drongelen W, Dorronsoro JR, Schölkopf B, Grosse-Wentrup M. Implicit Wiener series analysis of epileptic seizure recordings. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2009: 5304-7. PMID 19963892 DOI: 10.1109/IEMBS.2009.5333080 |
0.617 |
|
| 2009 |
Kienzle W, Franz MO, Schölkopf B, Wichmann FA. Center-surround patterns emerge as optimal predictors for human saccade targets. Journal of Vision. 9: 7.1-15. PMID 19757885 DOI: 10.1167/9.5.7 |
0.743 |
|
| 2009 |
Jäkel F, Schölkopf B, Wichmann FA. Does cognitive science need kernels? Trends in Cognitive Sciences. 13: 381-8. PMID 19729333 DOI: 10.1016/j.tics.2009.06.002 |
0.755 |
|
| 2009 |
Corfield D, Schölkopf B, Vapnik V. Falsificationism and statistical learning theory: Comparing the popper and vapnik-chervonenkis dimensions Journal For General Philosophy of Science. 40: 51-58. DOI: 10.1007/S10838-009-9091-3 |
0.667 |
|
| 2009 |
Sinz FH, Chapelle O, Agarwal A, Schölkopf B. An analysis of inference with the Universum Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.639 |
|
| 2008 |
Jäkel F, Schölkopf B, Wichmann FA. Generalization and similarity in exemplar models of categorization: insights from machine learning. Psychonomic Bulletin & Review. 15: 256-71. PMID 18488638 DOI: 10.3758/PBR.15.2.256 |
0.755 |
|
| 2008 |
Macke JH, Maack N, Gupta R, Denk W, Schölkopf B, Borst A. Contour-propagation algorithms for semi-automated reconstruction of neural processes. Journal of Neuroscience Methods. 167: 349-57. PMID 17870180 DOI: 10.1016/j.jneumeth.2007.07.021 |
0.602 |
|
| 2008 |
Breuer P, Kim KI, Kienzle W, Schölkopf B, Blanz V. Automatic 3D face reconstruction from single images or video 2008 8th Ieee International Conference On Automatic Face and Gesture Recognition, Fg 2008. DOI: 10.1109/AFGR.2008.4813339 |
0.557 |
|
| 2008 |
Jäkel F, Schölkopf B, Wichmann FA. Similarity, kernels, and the triangle inequality Journal of Mathematical Psychology. 52: 297-303. DOI: 10.1016/j.jmp.2008.03.001 |
0.733 |
|
| 2007 |
Rätsch G, Sonnenburg S, Srinivasan J, Witte H, Müller KR, Sommer RJ, Schölkopf B. Improving the Caenorhabditis elegans genome annotation using machine learning. Plos Computational Biology. 3: e20. PMID 17319737 DOI: 10.1371/Journal.Pcbi.0030020 |
0.586 |
|
| 2007 |
Jäkel F, Schölkopf B, Wichmann FA. A tutorial on kernel methods for categorization Journal of Mathematical Psychology. 51: 343-358. DOI: 10.1016/j.jmp.2007.06.002 |
0.758 |
|
| 2007 |
Kienzle W, Wichmann FA, Schölkopf B, Franz MO. A nonparametric approach to bottom-up visual saliency Advances in Neural Information Processing Systems. 689-696. |
0.727 |
|
| 2007 |
Steinke F, Schölkopf B, Blanz V. Learning dense 3D correspondence Advances in Neural Information Processing Systems. 1313-1320. |
0.608 |
|
| 2007 |
Kienzle W, Schölkopf B, Wichmann FA, Franz MO. How to find interesting locations in video: A spatiotemporal interest point detector learned from human eye movements Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4713: 405-414. |
0.747 |
|
| 2006 |
Gretton A, Belitski A, Murayama Y, Schölkopf B, Logothetis N. The effect of artifacts on dependence measurement in fMRI. Magnetic Resonance Imaging. 24: 401-9. PMID 16677946 DOI: 10.1016/J.Mri.2005.12.036 |
0.436 |
|
| 2001 |
Müller KR, Mika S, Rätsch G, Tsuda K, Schölkopf B. An introduction to kernel-based learning algorithms. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 12: 181-201. PMID 18244377 DOI: 10.1109/72.914517 |
0.617 |
|
| 2000 |
Zien A, Rätsch G, Mika S, Schölkopf B, Lengauer T, Müller KR. Engineering support vector machine kernels that recognize translation initiation sites. Bioinformatics (Oxford, England). 16: 799-807. PMID 11108702 |
0.569 |
|
| 1999 |
Schölkopf B, Mika S, Burges CC, Knirsch P, Müller KR, Rätsch G, Smola AJ. Input space versus feature space in kernel-based methods. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 10: 1000-17. PMID 18252603 DOI: 10.1109/72.788641 |
0.569 |
|
| 1998 |
Smola AJ, Schölkopf B, Müller KR. The connection between regularization operators and support vector kernels. Neural Networks : the Official Journal of the International Neural Network Society. 11: 637-649. PMID 12662802 |
0.566 |
|
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