Fabian Cristian Gieseke

Publikation

Publikationer pr. år 2007 2011 2012 2013 2014 2015 2017 2019

• 29 Konferencebidrag i proceedings
• 17 Tidsskriftartikel
• 2 Bidrag til bog/antologi
• 2 Paper
• 3 Mere
  • 1 Rapport
  • 1 Konferenceartikel
  • 1 Softwareprogram

Publikationer pr. år

Publikationer pr. år

Søgeresultater

• 2019

  Bigger buffer k-d trees on multi-many-core systems

  Gieseke, F. C., Oancea, C. E., Mahabal, A., Igel, C. & Heskes, T., 2019, High Performance Computing for Computational Science – VECPAR 2018: 13th International Conference, São Pedro, Brazil, September 17–19, 2018, Revised Selected Papers. Springer, s. 202-214 (Lecture Notes in Computer Science, Bind 11333).

  Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › peer review

  • Kd-tree 100%
  • Many-Core 100%
  • Data Structure 50%
  • Neighbour Search 50%
  • Huge Amounts of Data 25%

• Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data

  Oehmcke, S., Thrysøe, C., Borgstad, A., Vaz Salles, M. A., Brandt, M. S. & Gieseke, F. C., dec. 2019, Proceedings of the IEEE International Conference on Big Data, Big Data 2019: Special Session on Intelligent Data Mining. 10 s.

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Satellite Data 100%
  • Time Series 100%
  • Time Series Data 100%
  • Satellite Imagery 66%
  • Deep Learning Method 66%
• 2018

  Artistic movement recognition by consensus of boosted SVM based experts

  Florea, C. & Gieseke, F., 2018, I: Journal of Visual Communication and Image Representation. 56, s. 220-233

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Art Activities 100%
  • Movement Recognition 100%
  • Support Vector Machine 100%
  • Classical Solution 50%
  • Histogram 50%
  6 Citationer (Scopus)

• Massively-parallel break detection for satellite data

  von Mehren, M., Gieseke, F., Verbesselt, J., Rosca, S., Horion, S. & Zeileis, A., 9 jul. 2018, SSDBM '18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management . Association for Computing Machinery, Bind Part F137913. 10 s. 5

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Breakpoint Detection 100%
  • Massively Parallel 100%
  • Satellite Data 100%
  • Graphics Processing Unit 100%
  • Remote Sensing 50%

• Training big random forests with little resources

  Gieseke, F. & Igel, C., 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Association for Computing Machinery, s. 1445-1454

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Random Decision Forest 100%
  • Training Instance 100%
  • Multilevel Construction 50%
  • Construction Scheme 50%
  • Cluster Building 50%
  2 Citationer (Scopus)
• 2017

  A probabilistic approach to emission-line galaxy classification

  de Souza, R. S., Dantas, M. L. L., Costa-Duarte, M. V., Feigelson, E. D., Killedar, M., Lablanche, P. Y., Vilalta, R., Krone-Martins, A., Beck, R. & Gieseke, F., 1 dec. 2017, I: Monthly Notices of the Royal Astronomical Society. 472, 3, s. 2808-2822 15 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Emission Line Galaxies 100%
  • Gaussian Mixture Model 100%
  • Probabilistic Approach 100%
  • Emission Lines 100%
  • Galaxy Classification Systems 100%
  17 Citationer (Scopus)

• Artistic movement recognition by boosted fusion of color structure and topographic description

  Florea, C., Toca, C. & Gieseke, F. C., 11 maj 2017, Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision. IEEE, s. 569-577 9 s.

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Learning Framework 100%
  • Deep Learning Method 100%
  • Annotation 100%
  • Support Vector Machine 100%
  • Art Activities 100%
  14 Citationer (Scopus)

• Big universe, big data: machine learning and image analysis for astronomy

  Kremer, J., Stensbo-Smidt, K., Gieseke, F. C., Pedersen, K. S. & Igel, C., 1 mar. 2017, I: IEEE Intelligent Systems. 32, 2, s. 16-22 7 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Astronomy 100%
  • Image Analysis 100%
  • Big Data 100%
  • Machine Learning 100%
  • Cosmology 25%
  26 Citationer (Scopus)

  93 Downloads (Pure)

• bufferkdtree: a Python library for massive nearest neighbor queries on multi-many-core devices

  Gieseke, F. C., Oancea, C. E. & Igel, C., 15 mar. 2017, I: Knowledge-Based Systems. 120, s. 1-3 3 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning

  • Many-core 100%
  • Python Library 100%
  • Nearest Neighbor Query 100%
  • Kd-tree 100%
  • Many-Core 100%
  2 Citationer (Scopus)

• On the realistic validation of photometric redshifts

  COIN Collaboration, 1 jul. 2017, I: Monthly Notices of the Royal Astronomical Society. 468, 4, s. 4323-4339 17 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Photometric Redshifts 100%
  • Feature Space 100%
  • Photometric Error 100%
  • Machine Learning 100%
  • Photometry 50%
  33 Citationer (Scopus)

• Sacrificing information for the greater good: how to select photometric bands for optimal accuracy

  Stensbo-Smidt, K., Gieseke, F. C., Igel, C., Zirm, A. W. & Pedersen, K. S., 21 jan. 2017, I: Monthly Notices of the Royal Astronomical Society. 464, 3, s. 2577-2596 20 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Optimal Accuracy 100%
  • Photometric Data 100%
  • Statistical Analysis 100%
  • Model Selection 100%
  • Nearest Neighbor 100%
  10 Citationer (Scopus)
• 2016

  Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA: a machine learning approach

  Sasdelli, M., Ishida, E. E. O., Vilalta, R., Aguena, M., Busti, V. C., Camacho, H., Trindade, A. M. M., Gieseke, F., de Souza, R. S., Fantaye, Y. T. & Mazzali, P. A., 11 sep. 2016, I: Monthly Notices of the Royal Astronomical Society. 461, 2, s. 2044-2059 16 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Machine Learning Approach 100%
  • Type Ia Supernovae 100%
  • SNe Ia 100%
  • Principal Component Analysis 100%
  • Pythonidae 100%
  14 Citationer (Scopus)

• Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs

  Polsterer, K. L., Gieseke, F. C., Igel, C., Doser, B. & Gianniotis, N., 2016, Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016). i6doc.com, s. 405-410 6 s.

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

• Uncertain photometric redshifts

  Polsterer, K. L., D'Isanto, A. & Gieseke, F., 2016, (Accepteret/In press). 11 s.

  Publikation: Konferencebidrag › Paper › Forskning
• 2015

  Analyzing complex and structured data via unsupervised learning techniques

  Polsterer, K. L., Gieseke, F., Gianniotis, N. & Kügler, D., 2015.

  Publikation: Konferencebidrag › Paper › Forskning

• An efficient many-core implementation for semi-supervised support vector machines

  Gieseke, F., 2015, Machine Learning, Optimization, and Big Data: First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers. Pardalos, P., Pavone, M., Farinella, G. M. & Cutello, V. (red.). Springer, s. 145-157 13 s. (Lecture notes in computer science, Bind 9432).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Many-core 100%
  • Semi-supervised Support Vector Machine 100%
  • Many-Core 100%
  • Support Vector Machine 100%
  • Order of Magnitude 25%

• Automatic galaxy classification via machine learning techniques: Parallelized rotation/flipping INvariant Kohonen maps (PINK)

  Polsterer, K. L., Gieseke, F. C. & Igel, C., 2015, Astronomical Data Analysis Software and Systems: Proceedings of a meeting held at Calgary, Alberta, Canada 5-9 October 2014. Taylor, A. R. & Rosolowsky, E. (red.). Astronomical Society of the Pacific, Bind 24. s. 81-86 6 s. (ASP Conference Series, Bind 495).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

• Batch steepest-descent-mildest-ascent for interactive maximum margin clustering

  Gieseke, F., Pahikkala, T. & Heskes, T., 2015, Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings. Fromont, E., De Bie, T. & van Leeuwen, M. (red.). Springer, s. 95-107 13 s. (Lecture notes in computer science, Bind 9385).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Steepest Descent 100%
  • Class Ratio 66%
  • Clustering Scheme 50%
  • Clustering Principle 33%
  • Fitting Process 33%
  1 Citationer (Scopus)

• DRACULA: Dimensionality Reduction And Clustering for Unsupervised Learning in Astronomy

  Aguena, M. (Producent), Busti, V. C. (Producent), Camacho, H. (Producent), Sasdelli, M. (Producent), Ishida, E. E. O. (Producent), Vilalta, R. (Producent), Trindade, A. M. M. (Producent), Gieseke, F. (Producent), de Souza, R. S. (Producent) & Fantaye, Y. T. (Producent), 2015

  Publikation: Bidrag der ikke har en tekstform › Softwareprogram › Forskning

• Nearest neighbor density ratio estimation for large-scale applications in astronomy

  Kremer, J., Gieseke, F., Pedersen, K. S. & Igel, C., 1 sep. 2015, I: Astronomy and Computing. 12, s. 67-72 6 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Machine Learning 100%
  • Learning System 100%
  • Selection Criterion 100%
  • Unlabeled Data 100%
  • Feature Space 100%
  9 Citationer (Scopus)
• 2014

  A framework for data mining in wind power time series

  Kramer, O., Gieseke, F. C., Heinermann, J., Poloczek, J. & Treiber, N. A., 2014, Data analytics for renewable energy integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers. Woon, W. L., Aung, Z. & Madnick, S. (red.). Springer, s. 97-107 (Lecture notes in computer science, Bind 8817).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Temporal Resolution 100%
  • Machine Learning Algorithm 100%
  • Time Series Data 100%
  • Spatial Resolution 100%
  • Research Question 100%
  3 Citationer (Scopus)

• Buffer k-d trees: processing massive nearest neighbor queries on GPUs

  Gieseke, F. C., Heinermann, J., Oancea, C. E. & Igel, C., 2014, Proceedings of the 31^st International Conference on Machine Learning, Beijing, China, 2014. 9 s. (JMLR: Workshop and Conference Proceedings, Bind 32).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Graphics Processing Unit 100%
  • Processing Tree 100%
  • near neighbor query 100%
  • Massive Processing 100%
  • Tree Processing 100%
  19 Citationer (Scopus)

  2317 Downloads (Pure)

• Fast and simple gradient-based optimization for semi-supervised support vector machines

  Gieseke, F., Airola, A., Pahikkala, T. & Kramer, O., 10 jan. 2014, I: Neurocomputing. 123, s. 23-32 10 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Machine Learning 100%
  • Gradient-based Optimization 100%
  • Semi-supervised Support Vector Machine 100%
  • Learning System 100%
  • Support Vector Machine 100%
  35 Citationer (Scopus)

• Improving the performance of photometric regression models via massive parallel feature selection

  Polsterer, K. L., Gieseke, F. C., Igel, C. & Goto, T., 2014, Astronomical Data Analysis Software and Systems XXIII. Manset, N. & Forshay, P. (red.). Astronomical Society of the Pacific, Bind 485. s. 425-428 4 s. (Astronomical Society of the Pacific. Conference Proceedings, Bind 485).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

• On unsupervised training of multi-class regularized least-squares classifiers

  Pahikkala, T., Airola, A., Gieseke, F. C. & Kramer, O., jan. 2014, I: Journal of Computer Science and Technology. 29, 1, s. 90-104 15 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Regularized Least Squares Classifier 100%
  • Unsupervised Training 100%
  • Least Squares Method 100%
  • Cluster Performance 50%
  • Algebraic Optimization 50%
  1 Citationer (Scopus)

• Speedy greedy feature selection: better redshift estimation via massive parallelism

  Gieseke, F. C., Polsterer, K. L., Oancea, C. E. & Igel, C., 2014, ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (red.). i6doc.com, s. 87-92 6 s.

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Massive Parallelism 100%
  • Greedy Feature Selection 100%
  • Astronomy 100%
  • K-nearest Neighbor Model 100%
  • Parallelism 100%
  7 Citationer (Scopus)
• 2013

  Finding new high-redshift quasars by asking the neighbours

  Polsterer, K. L., Zinn, P. C. & Gieseke, F., 2013, I: Monthly Notices of the Royal Astronomical Society. 428, 1, s. 226-235 10 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Quasars 100%
  • High-redshift-quasars 100%
  • Quasar 100%
  • High-redshift 66%
  • Selection Strategy 33%
  17 Citationer (Scopus)

• From supervised to unsupervised support vector machines and applications in astronomy

  Gieseke, F., 1 aug. 2013, I: Kuenstliche Intelligenz. 27, 3, s. 281-285 5 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Support Vector Machine 100%
  • Astronomy 100%
  • Labeled Data 100%
  • Unlabeled Data 50%
  • Popular 50%
  1 Citationer (Scopus)

• Learning morphological maps of galaxies with unsupervised regression

  Kramer, O., Gieseke, F. & Polsterer, K. L., 15 jun. 2013, I: Expert Systems with Applications. 40, 8, s. 2841-2844 4 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Morphological Chart 100%
  • Unsupervised Regression 100%
  • Galaxy Classification Systems 100%
  • Machine Learning 100%
  • Dimensionally Reduction 20%
  2 Citationer (Scopus)

• On GPU-based nearest neighbor queries for large-scale photometric catalogs in astronomy

  Heinermann, J., Kramer, O., Polsterer, K. L. & Gieseke, F., 2013, KI 2013: Advances in Artificial Intelligence: 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013. Proceedings. Timm, I. J. & Thimm, M. (red.). Springer, s. 86-97 12 s. (Lecture notes in computer science, Bind 8077).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Prototype-based Learning 100%
  • Exabyte 100%
  • Search Structures 100%
  • Fully-supervised 100%
  • Spatial Data Structures 100%
  6 Citationer (Scopus)

• Polynomial runtime bounds for fixed-rank unsupervised least-squares classification

  Gieseke, F. C., Pahikkala, T. & Igel, C., 2013, Asian Conference on Machine Learning. Ong, C. S. & Ho, T. B. (red.). Bind 29. s. 62-71 10 s. (JMLR: Workshop and Conference Proceedings, Bind 29).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Least Squares Method 100%
  • Support Vector Machine 100%
  • Runtime Bound 100%
  • Least Squares Classifier 100%
  • Combinatorial Optimisation 66%
  1 Citationer (Scopus)

  27 Downloads (Pure)

• Support vector machines for wind energy prediction in smart grids

  Kramer, O., Treiber, N. A. & Gieseke, F., 2013, Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management. Shaker Verlag, s. 16-24 9 s.

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

• Towards non-linear constraint estimation for expensive optimization

  Gieseke, F. & Kramer, O., 2013, Applications of Evolutionary Computation: 16th European Conference, EvoApplications 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Esparcia-Alcázar, A. I. (red.). Springer, s. 459-468 10 s. (Lecture notes in computer science, Bind 7835).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Expensive Optimization 100%
  • Constraint Function 100%
  • Support Vector Machine 100%
  • Learning System 100%
  • Linear Constraint 100%
  10 Citationer (Scopus)

• Wind energy prediction and monitoring with neural computation

  Kramer, O., Gieseke, F. & Satzger, B., 3 jun. 2013, I: Neurocomputing. 109, s. 84-93 10 s.

  Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › peer review

  • Energy Monitoring 100%
  • Wind Power 100%
  • Neural Computation 100%
  • Support Vector Machine 100%
  • Organizing Map 50%
  28 Citationer (Scopus)
• 2012

  Efficient recurrent local search strategies for semi-and unsupervised regularized least-squares classification

  Gieseke, F., Kramer, O., Airola, A. & Pahikkala, T., sep. 2012, I: Evolutionary Intelligence. 5, 3, s. 189-205 17 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Support Vector Machine 100%
  • Regularized Least Squares Classifier 100%
  • Search Strategy 100%
  • Least Squares Method 100%
  • Unlabeled Data 66%
  4 Citationer (Scopus)

• Evolutionary kernel density regression

  Kramer, O. & Gieseke, F., 2012, I: Expert Systems with Applications. 39, 10, s. 9246-9254 9 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Kernel Density 100%
  • Evolution Kernel 100%
  • Density Regression 100%
  • Output Value 100%
  • Local Optimum 100%
  5 Citationer (Scopus)

• Galaxy classification without feature extraction

  Polsterer, K. L., Gieseke, F. & Kramer, O., 2012, Astronomical Data Analysis Software and Systems XXI. Ballester, P. (red.). Astronomical Society of the Pacific, s. 561-564 4 s. (Astronomical Society of the Pacific. Conference Proceedings, Bind 461).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

• Resilient k-d trees: k-means in space revisited

  Gieseke, F., Moruz, G. & Vahrenhold, J., 2012, I: Frontiers of Computer Science. 6, 2, s. 166-178 13 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Satellite Data 100%
  • Data Structure 100%
  • Tree Variant 50%
  • Multispectral Satellite Data 50%
  • High Radiation 50%
  4 Citationer (Scopus)

• Sparse quasi-Newton optimization for semi-supervised support vector machines

  Gieseke, F., Airola, A., Pahikkala, T. & Kramer, O., 2012, Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012). Carmona, P. L., Sánchez, J. S. & Fred, A. (red.). SCITEPRESS Digital Library, s. 45-54 10 s.

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Support Vector Machine 100%
  • Optimization Task 100%
  • Quasi-Newton Optimization 100%
  • Semi-supervised Support Vector Machine 100%
  • Classification Performance 50%
  10 Citationer (Scopus)

• Unsupervised multi-class regularized least-squares classification

  Pahikkala, T., Airola, A., Gieseke, F. & Kramer, O., 2012, Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012. IEEE, s. 585-594 10 s. 6413868

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Multi-class 100%
  • Regularized Least Squares Classifier 100%
  • Least Squares Method 100%
  • Cluster Performance 33%
  • Classification Framework 33%
  8 Citationer (Scopus)

• Von überwachten zu unüberwachten Support-Vektor-Maschinen und Anwendungen in der Astronomie.

  Gieseke, F., 2012, Ausgezeichnete Informatikdissertationen 2012. Hölldobler, S. (red.). Gesellschaft für Informatik, s. 111-120 10 s. (Lecture Notes in Informatics, Bind D-13).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
• 2011

  Analysis of wind energy time series with kernel methods and neural networks

  Kramer, O. & Gieseke, F., 2011, Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. IEEE, Bind 4. s. 2381-2385 5 s. 6022597

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Kernel Density Estimation 100%
  • Neural Network 100%
  • Kernel Method 100%
  • Energy Time Series 100%
  • Wind Power 100%
  14 Citationer (Scopus)

• A stochastic optimization approach for unsupervised kernel regression

  Kramer, O. & Gieseke, F., 2011, Proceedings of the 2011 International Conference on Genetic and Evolutionary Methods: GEM 2011. CSREA Press, s. 111-115 5 s.

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

• Photometric redshift estimation of quasars: local versus global regression

  Gieseke, F., Polsterer, K. L. & Zinn, P.-C., 2011, Astronomical Data Analysis Software and Systems XXI. Astronomical Society of the Pacific, s. 537-540 4 s. (ASP Conference Series, Bind 461).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

• Short-term wind energy forecasting using support vector regression

  Kramer, O. & Gieseke, F., 2011, Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Corchado, E., Snášel , V., Sedano, J., Hassanien, A. E., Calvo, J. L. & Ślȩzak, D. (red.). Springer, s. 271-280 10 s. (Advances in Intelligent and Soft Computing, Bind 87).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Wind Power Forecasting 100%
  • Wind Energy Forecasting 100%
  • Support Vector Regression 100%
  • Support Vector Machine 100%
  • Wind Park 50%
  36 Citationer (Scopus)

• Speedy local search for semi-supervised regularized least-squares

  Gieseke, F., Kramer, O., Airola, A. & Pahikkala, T., 2011, KI 2011: Advances in Artificial Intelligence : - 34th Annual German Conference on AI, Proceedings. Bach, J. & Edelkamp, S. (red.). s. 87-98 12 s. (Lecture notes in computer science, Bind 7006).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Unlabeled Data 100%
  • Local Search 100%
  • Regularized Least Squares 100%
  • Least Squares Method 100%
  • Optimization Problem 50%
  1 Citationer (Scopus)

• Variance scaling for EDAs revisited

  Kramer, O. & Gieseke, F., 2011, KI 2011: Advances in Artificial Intelligence: 34th Annual German Conference on AI, Proceedings. Bach, J. & Edelkamp, S. (red.). s. 169-178 10 s. (Lecture notes in computer science, Bind 7006).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Variance Scaling 100%
  • Estimation of Distribution Algorithm 100%
  • Selection Pressure 100%
  • Population Size 100%
  • Heuristics 100%
  2 Citationer (Scopus)
• 2010

  Detecting quasars in large-scale astronomical surveys

  Gieseke, F., Polsterer, K. L., Thom, A., Zinn, P., Bomanns, D., Dettmar, R. J., Kramer, O. & Vahrenhold, J., 2010, Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010. IEEE, s. 352-357 6 s. 5708856

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Radio Sources 100%
  • Quasar 100%
  • Astronomical Survey 100%
  • Classification Performance 50%
  • Spectroscopic Data 50%
  13 Citationer (Scopus)

• Pruning spanners and constructing well-separated pair decompositions in the presence of memory hierarchies

  Gieseke, F., Gudmundsson, J. & Vahrenhold, J., 2010, I: Journal of Discrete Algorithms. 8, 3, s. 259-272 14 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Memory Transfer 100%
  • Memory Hierarchy 100%
  • Well-separated Pair Decomposition 100%
  • Geometric Graph 50%
  • Model of Computation 50%
• 2009

  Cache-oblivious construction of a well-separated pair decomposition

  Gieseke, F. & Vahrenhold, J., 2009, Proceedings of the 25th European Workshop on Computational Geometry. s. 341-344 4 s.

  Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › peer review