Publications of B Schölkopf

Conference Paper (212)

361.
Conference Paper
Schölkopf, B.; Burges, C.; Vapnik, V.: Incorporating invariances in support vector learning machines. In: Artificial Neural Networks: ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996, pp. 47 - 52 (Eds. von der Malsburg, C.; von Seelen, W.; Vorbrüggen, J.; Sendhoff, B.). 6th International Conference on Artificial Neural Networks (ICANN 1996), Bochum, Germany, July 16, 1996 - July 19, 1996. Springer, Berlin, Germany (1996)
362.
Conference Paper
Mallot, H.; Bülthoff, H.; Georg, P.; Schölkopf, B.; Yasuhara, K.: View-based cognitive map learning by an autonomous robot. In: Conférence Internationale sur les Réseaux de Neurones Artificiels (ICANN 1995), pp. 381 - 386 (Eds. Fogelman-Soulié, F.; Gallinari, R.). Conférence Internationale sur les Réseaux de Neurones Artificiels (ICANN 1995), Paris, France, October 09, 1995 - October 13, 1995. EC2, Paris, France (1995)
363.
Conference Paper
Schölkopf, B.; Burges, C.; Vapnik, V.: Extracting support data for a given task. In: First International Conference on Knowledge Discovery & Data Mining (KDD-95), pp. 252 - 257 (Eds. Fayyad, U.; Uthurusamy, R.). First International Conference on Knowledge Discovery & Data Mining (KDD 1995), Montréal, Canada, August 20, 1995 - August 21, 1995. AAAI Press, Menlo Park, CA, USA (1995)

Meeting Abstract (23)

364.
Meeting Abstract
Dang, H.; Weinmüller, S.; Loktyushin, A.; Glang, F.; Dörfler, A.; Maier, A.; Schölkopf, B.; Scheffler, K.; Zaiss, M.: MRzero with dAUTOMAP reconstruction: automated invention of MR acquisition and neural network reconstruction. In 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021), 0333. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021), May 15, 2021 - May 20, 2021. (2021)
365.
Meeting Abstract
Dang, H.; Loktyushin, A.; Glang, F.; Herz, K.; Doerfler, A.; Schölkopf, B.; Scheffler, K.; Maier, A.; Zaiss, M.: Autoencoding T1 using MRzero for simultaneous sequence optimization and neural network training. In Magnetic Resonance Materials in Physics, Biology and Medicine, 33 (Supplement 1), S03.03, pp. S27 - S28. 37th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2020), Wien, Austria, September 30, 2020 - October 02, 2020. No longer published by Elsevier, Amsterdam (2020)
366.
Meeting Abstract
Loktyushin, A.; Herz, K.; Glang, F.; Schölkopf, B.; Scheffler, K.; Zaiss, M.: MRI zero: Fully automated invention of MRI sequences using supervised learning. In Magnetic Resonance Materials in Physics, Biology and Medicine, 32 (Supplement 1), S09.06, pp. S119 - S120. 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2019), Rotterdam, The Netherlands, October 03, 2019 - October 05, 2019. No longer published by Elsevier, Amsterdam (2019)
367.
Meeting Abstract
Scheffler, K.; Bause, J.; Aghaeifar, A.; Steffen, T.; Schölkopf, B.; Loktyushin, A.: Spread-spectrum MRI: acceleration of image acquisition using locally modulated magnetic fields. In ISMRM 27th Annual Meeting & Exhibition, 0758. 27th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montréal, QC, Canada, May 11, 2019 - May 16, 2019. (2019)
368.
Meeting Abstract
Zivkovic, I.; Tolstikhin, I.; Schölkopf, B.; Scheffler, K.: B0 matrix shim array design-optimization of the position, geometry and the number of segments of individual coil elements. In Magnetic Resonance Materials in Physics, Biology and Medicine, 29 (Supplement 1), p. S36 - S36. 33rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2016), Wien, Austria. (2016)
369.
Meeting Abstract
Besserve, M.; Schölkopf, B.; Logothetis, N. K.: Unsupervised identification of neural events in local field potentials. In 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), 20.12. 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), Washington, DC, USA. (2014)
370.
Meeting Abstract
Langovoy, M.; Habeck, M.; Schölkopf, B.: Statistical Image Analysis and Percolation Theory. In 2011 Joint Statistical Meetings (JSM), 520. 2011 Joint Statistical Meetings (JSM), Miami Beach, FL, USA, July 30, 2011 - August 04, 2011. (2011)
371.
Meeting Abstract
Mantlik, F.; Hofmann, M.; Bezrukov, I.; Kolb , A.; Beyer, T.; Reimold , M.; Pichler, B.; Schölkopf, B.: Comparative Quantitative Evaluation of MR-Based Attenuation Correction Methods in Combined Brain PET/MR. In 2010 Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2010), M08-4. 2010 Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2010), Knoxville, TN, USA, October 30, 2010 - November 06, 2010. (2010)
372.
Meeting Abstract
Gomez Rodriguez, M.; Grosse-Wentrup, M.; Hill, J.; Peters, J.; Schölkopf, B.; Gharabaghi, A.: BCI and robotics framework for stroke rehabilitation. In 4th International BCI Meeting. 4th International BCI Meeting, Asilomar, CA, USA, May 31, 2010 - June 04, 2010. (2010)
373.
Meeting Abstract
Harmeling, S.; Janzing, D.; Schölkopf, B.: Causal inference and identifying confounder with second order statistics. In Dagstuhl Reports, 09401, p. 6 (Eds. Janzing, D.; Lauritzen, B.; Schölkopf, B.). Dagstuhl Seminar: Machine learning approaches to statistical dependences and causality, Schloss Dagstuhl, Germany, September 27, 2009 - October 02, 2009. Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Wadern (2009)
374.
Meeting Abstract
Janzing, D.; Schölkopf, B.: Causal inference using the algorithmic Markov condition. In Dagstuhl Reports, 09401, p. 7 (Eds. Janzing, D.; Lauritzen, B.; Schölkopf, B.). Dagstuhl Seminar: Machine learning approaches to statistical dependences and causality, Schloss Dagstuhl, Germany, September 27, 2009 - October 02, 2009. Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Wadern (2009)
375.
Meeting Abstract
Mooij, J.; Janzing, D.; Peters, J.; Schölkopf, B.; Hoyer, P.: Additive noise models for causal inference. In Dagstuhl Reports, 09401, p. 10 (Eds. Janzing, D.; Lauritzen, B.; Schölkopf, B.). Dagstuhl Seminar: Machine learning approaches to statistical dependences and causality, Schloss Dagstuhl, Germany, September 27, 2009 - October 02, 2009. Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Wadern (2009)
376.
Meeting Abstract
Peters, J.; Janzing, D.; Gretton, A.; Schölkopf, B.: Detecting the direction of causal time series. In Dagstuhl Reports, 09401, p. 11 (Eds. Janzing, D.; Lauritzen, B.; Schölkopf, B.). Dagstuhl Seminar: Machine learning approaches to statistical dependences and causality, Schloss Dagstuhl, Germany, September 27, 2009 - October 02, 2009. Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Wadern (2009)
377.
Meeting Abstract
Hofmann, M.; Steinke, F.; Bezrukov, I.; Kolb, A.; Aschoff, P.; Lichy , M.; Erb, M.; Nägele, T.; Brady, M.; Schölkopf, B. et al.; Pichler, B.: MR-Based Attenuation Correction for PET/MR. In 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), 260. 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), Honolulu, HI, USA, April 18, 2009 - April 24, 2009. (2009)
378.
Meeting Abstract
Hofmann, M.; Steinke, F.; Aschoff, P.; Lichy, M.; Brady, M.; Schölkopf, B.; Pichler, B.: MR-Based PET Attenuation Correction: Initial Results for Whole Body. In Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2008), M14-4. Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2008), Dresden, Germany, October 19, 2008 - October 25, 2008. (2008)
379.
Meeting Abstract
Rätsch, G.; Clark, L.; Toomajian, C.; Ossowski, S.; Zeller, G.; Shinn, P.; Warthman, N.; Hu, T.; Fu, G.; Hinds, D. et al.; Cheng, H.; Frazer, K.; Huson, D.; Schölkopf, B.; Nordborg , M.; Ecker, J.; Weigel, D.; Schneeberger, K.; Bohlen, A.: Discovering Common Sequence Variation in Arabidopsis thaliana. In 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008). 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada, July 19, 2008 - July 23, 2008. (2008)
380.
Meeting Abstract
Wichmann, F.; Kienzle, W.; Schölkopf, B.; Franz, M.: Center-surround patterns emerge as optimal predictors for human saccade targets. In Beiträge zur 50. Tagung experimentell arbeitender Psychologen, p. 217 (Eds. Khader, P.; Jost, K.; Lachnit, H.; Rösler, F.). 50. Tagung Experimentell Arbeitender Psychologen (TeaP 2008), Marburg, Germany, March 03, 2008 - March 05, 2008. Pabst, Lengerich. Germany (2008)
Go to Editor View