• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 24 matches

• 2021
• 
  Stefan Maetschke, David Martinez Iraola, Pieter Barnard, Elaheh ShafieiBavani, Peter Zhong, Ying Xu, Antonio Jimeno-Yepes:
  Understanding in Artificial Intelligence. CoRR abs/2101.06573 (2021)
• 2020
• 
  Julian de Hoog, Stefan Maetschke, Peter Ilfrich, Ramachandra Rao Kolluri:
  Using Satellite and Aerial Imagery for Identification of Solar PV: State of the Art and Research Opportunities. e-Energy 2020: 308-313
• 2019
• 
  Guillaume Bernard, Cheong Xin Chan, Yao-ban Chan, Xin-Yi Chua, Yingnan Cong, James M. Hogan, Stefan R. Maetschke, Mark A. Ragan:
  Alignment-free inference of hierarchical and reticulate phylogenomic relationships. Briefings Bioinform. 20(2): 426-435 (2019)
• 
  Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
  Inference of visual field test performance from OCT volumes using deep learning. CoRR abs/1908.01428 (2019)
• 2018
• 
  Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Rahil Garvani:
  A feature agnostic approach for glaucoma detection in OCT volumes. CoRR abs/1807.04855 (2018)
• 2017
• 
  Alexander Trumpp, Stefan Rasche, Daniel Wedekind, Martin Schmidt, Thomas Waldow, Frederik Gaetjen, Katrin Plötze, Hagen Malberg, Klaus Matschke, Sebastian Zaunseder:
  Skin Detection and Tracking for Camera-Based Photoplethysmography Using a Bayesian Classifier and Level Set Segmentation. Bildverarbeitung für die Medizin 2017: 43-48
• 
  Pallab Kanti Roy, Ruwan B. Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi:
  A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images. ISBI 2017: 1078-1082
• 
  Suman Sedai, Dwarikanath Mahapatra, Sajini Hewavitharanage, Stefan Maetschke, Rahil Garnavi:
  Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder. MICCAI (2) 2017: 75-82
• 
  Stefan Maetschke, Ruwan Bandara Tennakoon, Christian Vecchiola, Rahil Garnavi:
  nuts-flow/ml: data pre-processing for deep learning. CoRR abs/1708.06046 (2017)
• 2015
• 
  Daniel Wedekind, Alexander Trumpp, Fernando Andreotti, Frederik Gaetjen, Stefan Rasche, Klaus Matschke, Hagen Malberg, Sebastian Zaunseder:
  Assessment of source separation techniques to extract vital parameters from videos. EUSIPCO 2015: 434-438
• 2014
• 
  Stefan Maetschke, Piyush B. Madhamshettiwar, Melissa J. Davis, Mark A. Ragan:
  Supervised, semi-supervised and unsupervised inference of gene regulatory networks. Briefings Bioinform. 15(2): 195-211 (2014)
• 
  Stefan Maetschke, Mark A. Ragan:
  Characterizing cancer subtypes as attractors of Hopfield networks. Bioinform. 30(9): 1273-1279 (2014)
• 2013
• 
  Piyush B. Madhamshettiwar, Stefan Maetschke, Melissa J. Davis, Mark A. Ragan:
  RMaNI: Regulatory Module Network Inference framework. BMC Bioinform. 14(S-16): S14 (2013)
• 2012
• 
  Stefan Maetschke, Martin Simonsen, Melissa J. Davis, Mark A. Ragan:
  Gene Ontology-driven inference of protein-protein interactions using inducers. Bioinform. 28(1): 69-75 (2012)
• 
  Martin Simonsen, Stefan Maetschke, Mark A. Ragan:
  Automatic selection of reference taxa for protein-protein interaction prediction with phylogenetic profiling. Bioinform. 28(6): 851-857 (2012)
• 
  Chenwei Wang, Alperen Taciroglu, Stefan Maetschke, Colleen C. Nelson, Mark A. Ragan, Melissa J. Davis:
  mCOPA: analysis of heterogeneous features in cancer expression data. J. Clin. Bioinform. 2: 22 (2012)
• 2010
• 
  Stefan Maetschke, Karin S. Kassahn, Jasmyn A. Dunn, Siew-Ping Han, Eva Z. Curley, Katryn J. Stacey, Mark A. Ragan:
  A visual framework for sequence analysis using n-grams and spectral rearrangement. Bioinform. 26(6): 737-744 (2010)
• 2009
• 
  Stefan Maetschke, Zheng Yuan:
  Exploiting structural and topological information to improve prediction of RNA-protein binding sites. BMC Bioinform. 10: 341 (2009)
• 
  Fabian A. Buske, Stefan Maetschke, Mikael Bodén:
  It's about time: Signal recognition in staged models of protein translocation. Pattern Recognit. 42(4): 567-574 (2009)
• 
  Isye Arieshanti, Mikael Bodén, Stefan Maetschke, Fabian A. Buske:
  Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes. CIBCB 2009: 46-52
• 2007
• 
  Stefan R. Maetschke:
  Topological models of transmembrane proteins for subcellular localization prediction. University of Queensland, Australia, 2007
• 
  Stefan Maetschke, Marcus Gallagher, Mikael Bodén:
  A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins. CIBCB 2007: 367-372
• 2005
• 
  Stefan Maetschke, Michael Towsey, Mikael Bodén:
  BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction. APBC 2005: 141-150
• 
  Mark Wakabayashi, John Hawkins, Stefan Maetschke, Mikael Bodén:
  Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins. IDEAL 2005: 454-461