Elmar W. Lang

Position	Professor
Affiliation	University of Regensburg
Country	Germany
Group
Students
Courses
Projects
Events
Proposals
Personal page	http://www-aglang.uni-regensburg.de/27.0.html

Publications

Articles in international journals listed in the ISI

• V. Vigneron, A. Kodewitz, M.N. da Costa, Ana Maria Tomé, Elmar W. Lang. Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets. Signal Processing, vol. 144, p. 77-86, March 2018 [IF 2016: 3.110 (Q1, 58/262)]
• M. Goldhacker, P. Keck, A. Igel, Elmar W. Lang, Ana Maria Tomé. A multi-variate blind source separation algorithm. Computer Methods and Programs in Biomedicine, vol. 151, p. 91-99, November 2017 [IF 2016: 2.503 (Q1, 21/104)]
• Götz, Th.I., Ermer, M., Salas-González, D., Kellermeier, Strna, V., Bert, Ch., Hensel, B., Ana Maria Tomé, Elmar W. Lang. On the use of multi-dimensional scaling and electromagnetic tracking in high dose rate brachytherapy. Physics in Medicine and Biology, vol. 62, no. 20, p. 7959-7980, October 2017 [IF 2016: 2.742 (Q2, 24/77)]
• Götz, Th.I., Lahmer, G., Strnad, V., Bert, Ch., Hensel, B., Ana Maria Tomé, Elmar W. Lang. A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients. PLoS ONE, vol. 12, no. 9, September 2017 [IF 2016: 2.806 (Q1, 15/64)]
• Götz, Th.I., Lahmer, G., Brandt, T., Kallis, K., Strnad, V., Bert, C., Hensel, B., Ana Maria Tomé, Elmar W. Lang. On the use of particle filters for electromagnetic tracking in high dose rate brachytherapy. Physics in Medicine and Biology, vol. 62, no. 19, p. 7617-7640, September 2017 [IF 2016: 2.742 (Q2, 24/77)]
• T. Gotz, L. Stadler, G. Fraunhofer, Ana Maria Tomé, H. Hausner, Elmar W. Lang. A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation. Journal of Neural Engineering, vol. 14, no. 1, February 2017 [IF 2016: 3.465 (Q1, 14/77)]
• Al-Subari K, Al-Baddai S, Ana Maria Tomé, Volberg G, Ludwig B, Elmar W. Lang. Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task. PLoS ONE, vol. 11, no. 12, p. 1-20, December 2016 [IF 2016: 2.806 (Q1, 15/64)]
• Al-Baddai, S., Al-Subari, K., Ana Maria Tomé, Ludwig, B., Salas-Gonzales, D., Elmar W. Lang. Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions. Biomedical Signal Processing and Control, vol. 30, p. 53-63, September 2016 [IF 2016: 2.214 (Q2, 33/77)]
• Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé, Jordi Solé-Casals, Elmar W. Lang. A green's function-based Bi-dimensional empirical mode decomposition. Information Sciences, vol. 348, p. 305 - 321, June 2016 [IF 2016: 4.832 (Q1, 7/146)]
• K. Al-Subari, S. Al-Baddai, Ana Maria Tomé, M. Goldhacker, R. Faltermeier, Elmar W. Lang. EMDLAB: A toolbox for analysis of single-trial EEG dynamics using empirical mode decomposition. Journal of Neuroscience Methods, vol. 253, p. 193-205, September 2015 [IF 2015: 2.053 (Q3, 47/77)]
• Al-Subari K, Al-Baddai S, Ana Maria Tomé, Volberg G, Hammwöhner R, Elmar W. Lang. Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task. PLoS ONE, vol. 10, no. 4, p. e0119489, April 2015 [IF 2015: 3.057 (Q1, 11/63)] [IF 2016: 2.806 (Q1, 15/64)]
• Ana Maria Tomé, R. Schachtner, V. Vigneron, C. G. Puntonet, Elmar W. Lang. A logistic non-negative matrix factorization approach to binary data sets. Multidimensional Systems and Signal Processing, vol. 26, no. 1, p. 125-143, January 2015 [IF 2015: 1.436 (Q2, 30/105)]
• S. Al-Baddai, K. Al-Subari, Ana Maria Tomé, G. Volberg, S. Hanslmayr, R. Hammwöhner, Elmar W. Lang. Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task. Biomedical Signal Processing and Control, vol. 13, p. 218-236, September 2014 [IF 2014: 1.419 (Q2, 15/30)] [IF 2016: 2.214 (Q2, 33/77)]
• T. Schon, M. Stetter, Ana Maria Tomé, C.G. Puntonet, Elmar W. Lang. Physarum Learner: A bio-inspired way of learning structure from data. Expert Systems with Applications, vol. 41, no. 11, p. 5353-5370, September 2014 [IF 2014: 2.240 (Q1, 12/81)]
• R. Schachtner, G. Poeppel, Ana Maria Tomé, Elmar W. Lang. A Bayesian approach to the Lee–Seung update rules for NMF. Pattern Recognition Letters, vol. 45, p. 251-256, August 2014 [IF 2014: 1.551 (Q2, 55/123)] [IF 2016: 1.995 (Q2, 58/133)]
• R. Schachtner, G. Pöppel, Ana Maria Tomé, C.G. Puntonet, Elmar W. Lang. A new Bayesian approach to nonnegative matrix factorization: uniqueness and model order selection. Neurocomputing, vol. 138, p. 142-156, August 2014 [IF 2014: 2.083 (Q2, 36/123)] [IF 2016: 3.317 (Q1, 24/133)]
• A. Zeiler, R. Faltermeier, Ana Maria Tomé, C. Puntonet, A. Brawanski, Elmar W. Lang. Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series. Neural Processing Letters, vol. 37, no. 1, p. 21-32, February 2013 [IF 2013: 1.237 (Q2, 60/121)]
• Silvia De Sanctis, Wilhelm M. Malloni, Werner Kremer, Ana Maria Tomé, Elmar W. Lang, Klaus-Peter Neidig, Hans Robert Kalbitzer. Singular spectrum analysis for an automated solvent artifact removal and baseline correction of 1D NMR spectra. Journal of Magnetic Resonance, vol. 210, no. 2, p. 177-183, June 2011 [IF 2011: 2.138, 2.138]
• Ana Rita Teixeira, Ana Maria Tomé, Elmar W. Lang. Unsupervised feature extraction via kernel subspace techniques. Neurocomputing, vol. 74, no. 5, p. 820-830, February 2011 [IF 2011: 1.580 (Q2, 39/111)] [IF 2016: 3.317 (Q1, 24/133)]
• Ana Maria Tomé, Ana Rita Teixeira, Nuno Figueiredo, I. M. Santos, Petia Georgieva, Elmar W. Lang. SSA of biomedical signals: A linear invariant systems approach. Statistics and Its Interface, vol. 3, no. 3, p. 345-355, September 2010 [IF 2010: 0.474]
• ...further results

Other articles in journals

• A. Neubauer, Ana Maria Tomé, A. Kodewitz, J. M. Górriz, Carlos García Puntonet, Elmar W. Lang. Bidimensional Ensemble Empirical mode Decomposition of Functional Biomedical Images.. Advances in Adaptive Data Analysis, vol. 6, no. 1, January 2014
• Elmar W. Lang, Ana Maria Tomé, I.R. Keck, J.M. Saez, C. G. Puntonet. Brain Connectivity Analysis - A short survey. Computational Intelligence and Neurosciences, vol. 2012, no. ID-412512, p. 21, August 2012
• Ana Maria Tomé, Ana Rita Teixeira, António J. S. Teixeira, G.Miguel, Petia Georgieva, Elmar W. Lang. Linear Invariant Systems Theory for Signal Enhancement. Electrónica e Telecomunicações, vol. 5, no. 3, p. 290-294, June 2011
• K. Stadlthanner, F.J. Theis, Elmar W. Lang, Ana Maria Tomé, W. Gronwald, and H.R. Kalbitzer.. A Matrix Pencil to the Blind Source Separation of Artifacts in 2D NMR Spectra.. Neural Information Processing- Letters and Reviews, vol. 1, no. 3, p. 103-110, December 2003

Chapters in books

• Antonio R. Hidalgo‐Muñoz, Míriam M. López, Isabel M. Santos, Manuel Vázquez‐Marrufo, Elmar W. Lang, Ana Maria Tomé. Affective Valence Detection from EEG Signals Using Wrapper Methods. Emotion and Attention Recognition Based on Biological Signals and Images, Seyyed Abed Hosseini (Ed.), INTECH, February 2017
• A. Zeiler, R. Faltermeier, Ana Maria Tomé, I.R. Keck, C. Puntonet, A. Brawanski, Elmar W. Lang. Sliding Empirical Mode Decomposition-Brain Status Data Analysis and Modeling. Advances in Intelligent Signal Processing and Data Mining, Petia Georgieva, L. Mihaylova, Jain Lakhmi (Ed.), Springer Berlin Heidelberg, vol. 410, p. 311-349, January 2013
• Ana Maria Tomé, Ana Rita Teixeira, Elmar W. Lang. Subspace Techniques and Biomedical Time Series Analysis. Recent Advances in Biomedical Signal Processing, J.M. Górriz, Elmar W. Lang, Javier Ramirez (Ed.), Bentham Science, vol. 1, p. 48-59, 2011

Articles in conference proceedings

• V. Vigneron, T. Q. Syed, L.T. Duarte, Elmar W. Lang, S.I. Behlim, Ana Maria Tomé. Z-images. Lecture Notes in Computer Science, vol. 10255, p. 177-184, June 2017
• T. Schon, M. Stetter, Ana Maria Tomé, Elmar W. Lang. A new physarum learner for network structure leraning from biomedical data. BIOSIGNALS 2013 – Int Conf on Bio-inspired Systems and Signal Processing, Barcelona, p. 151-156, February 2013
• Ana Maria Tomé, A. R. Hidalgo-Munoz, Miriam López Pérez, Ana Rita Teixeira, I. M. Santos, A. T. Pereira, M. Vázquez-Marrufo, Elmar W. Lang. Feature extraction and classification of biosignals Emotion valence detection from EEG signals. BIOSIGNALS 2013 – Int Conf on Bio-inspired Systems and Signal Processing, Barcelona, February 2013
• Angela Zeiler, Rupert Faltermeier, Alexander Brawanski, Ana Maria Tomé, Carlos Puntonet, Juan M Gorriz, Elmar W. Lang. Brain Status Data Analysis by Sliding EMD. IWINAC2011, June 2011
• Angela Zeiler, Rupert Faltermeier, Alexander Brawanski, Ana Maria Tomé, Carlos Puntonet, Elmar W. Lang. Sliding Empirical Mode Decomposition for On-line Analysis of Biomedical Time Series. IWANN 2011, June 2011
• A. Zeiler, R. Faltermeier, I. R. Keck, Ana Maria Tomé, Member, IEEE, A. Brawanski, C. G. Puntonet, Elmar W. Lang. Brain Status Data Analyzed by Empirical Mode Decomposition. Neural Networks (IJCNN), The 2010 International Joint Conference on, July 2010
• R. Faltermeier, A. Zeiler, I. R. Keck, Ana Maria Tomé, A. Brawanski, Elmar W. Lang. Sliding Empirical Mode Decomposition. Neural Networks (IJCNN), The 2010 International Joint Conference on, July 2010
• Ana Rita Teixeira, Ana Maria Tomé, Elmar W. Lang. Feature Extraction Using Linear and Non-linear Subspace Techniques. Proceedings of the 19th International Conference on Artificial Neural Networks, Limassol, Cyprus, vol. LNCS-5769, p. 115-124, September 2009
• V. Fischer, Ana Maria Tomé, Elmar W. Lang. Serial Evolution. 3rd International Work-Conference on the Interplay Between Natural and Artificial Computation, Santiago de Compostela, Spain, vol. 5601, p. 233-244, June 2009
• R. Schachtner, G. Poeppel, Ana Maria Tomé, Elmar W. Lang. Minimum Determinant Constraint for Non-negative Matrix Factorization. 8th International Conference on Independent Component Analysis and Signal Separation, Paraty, Brazil, vol. 5441, p. 106-113, March 2009
• R. Schachtner, D. Lutter, Ana Maria Tomé, G. Schmitz, P. Gomez Vilda, Elmar W. Lang. A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis. 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 08), Salamanca, Spain, vol. 49, p. 137-146, October 2008