Friedrich Leisch
Univ.Prof. Dipl.-Ing. Dr.techn. Friedrich Leisch
Institut Institut für Statistik
Standort Peter-Jordan-Straße 82, 1190 Wien
Email friedrich.leisch@boku.ac.at
Tel: +43 1 47654-85111
ORCID: 0000-0001-7278-1983
A-6977-2013: ResearcherId
Laufbahn
- 2015 - 2021 Leiter des Department für Raum, Landschaft und Infrastruktur, Universität für Bodenkultur
- 2011 Professor, Institut für Statistik, Universität für Bodenkultur, Institutsleiter
- 2006 - 2011 Professor, Institut für Statistik, Ludwig-Maximilians-Universität München, Leitung Arbeitsgruppe Computationale Statistik, Institutsdirektor 2010-2011
- 1994 - 2006 Assistent, Institut für Statistik und Wahrscheinlichkeitstheorie, Technische Universität Wien, Promotion 1999, Habilitation für Statistik 2005
- 1987 - 1993 Studium Technische Mathematik, Zweig Wirtschafts- und Planungsmathematik, Technische Universität Wien
Auszeichnungen
- 2017 INTERNATIONAL ASSOCIATION OF SCIENTIFIC EXPERTS IN TOURISM: Peter Keller Award for the paper "What drives the price of Airbnb properties in city destinations?", AIEST Conference, Tbilisi, Georgia
Projekte
Es wurden 0 Projekte gefunden.
Publikationen
Wissentransfer in die Gesellschaft
Medienbeiträge
Vorträge
(2023) Ökologische Auswirkungen von zeitlich und räumlich veränderten Nutzungsmustern Erholungssuchender während der COVID19-Pandemie in Wiener Erholungsgebieten
Autoren: Schinegger, R., Hainz-Renetzeder, C.; Binder, M.; Huber, A.; Borgwardt, F.; Popp, S.; Leisch, F.; Ortega-Menjivar, L.; Özcelik, NB.;
MA 22/49 Stadt Wien & Biosphärenpark Wienerwald Vernetzungstreffen
(2023) Modelling human use of Viennese urban recreation areas via Instagram data
Autoren: Ortega Menjivar, L; Binder, M; Huber, A; Özcelik, N; Borgwardt, F; Hainz-Renetzeder, C; Leisch, F; Palt, M; Schinegger, R;
Österreichische Statistiktage
(2022) Time Resolved Feature Importance of a Biopharmaceutical Purification Process Using Permutation Based Methods
Autoren: Matthias Medl, Theresa Scharl, Astrid Dürauer, Friedrich Leisch
17th Conference of the International Federation of Classification Societies IFCS 2022 - Classification and Data Science in the Digital Age
(2022) Deep Learning for Modelling High-dimensional Data of a Biopharmaceutical Purification Process
Autoren: Matthias Medl, Theresa Scharl, Astrid Dürauer, Friedrich Leisch
Austrian and Slovenian Statistical Days 2022
(2022) #WienerErholungsgebiete: Fokus & Erkenntnisse im ersten Halbjahr des Forschungsprojekts
Autoren: Schinegger, R., Binder, M., Hainz-Renetzeder, C., Leisch, F., Ortega-Menjivar, L., Özcelik, B., Popp, S., Borgwardt, F.
Abstimmungstreffen mit der Stadt Wien (MA 22, 45 und 49) zum Jubiläumsfondsprojekt #WienerErholungsgebiete
(2022) (Resampling Methods for) Exploring Cluster Stability
Autoren: Leisch, F
24th International Conference on Computational Statistics COMPSTAT 2022
(2022) Deep learning to predict critical process parameters of an antibody capture process
Autoren: Matthias Medl, Theresa Scharl, Astrid Dürauer, Friedrich Leisch
14th Annual Meeting ÖGMBT 2022 - Life Sciences - now more than ever
(2022) Permutation based variable importance determination for deep learning
Autoren: Matthias Medl, Theresa Scharl, Astrid Dürauer, Friedrich Leisch
24th International Conference on Computational Statistics COMPSTAT 2022
(2019) Subcellular proteome atlas of the yeast Komagataella phaffii
Autoren: Valli, M; Grillitsch, KH; Grünwald-Gruber, C; Tatto, NE; Hrobath, B; Klug, L; Ivashov, V; Hauzmayer, S; Koller, M; Leisch, F; Gasser, B; Graf AB; Altmann, F; Daum, G; Mattanovich D
PYFF7 2019
(2019) Real-time monitoring and model-based prediction of purity and quantity during chromatographic purification of biopharmaceuticals
Autoren: Sauer, D; Melcher, M; Walch, N; Scharl-Hirsch, T; Leisch, F; Jungbauer, A; Dürauer, A
Asian Pacific Confederation of Chemical Engineering (APCChE)
(2019) Real-Time Monitoring and model-based Prediction of Purity and Quantity during chromatographic Purification of Biopharmaceuticals
Autoren: Sauer, D; Melcher, M; Walch, N; Scharl-Hirsch, T; Leisch, F; Jungbauer, A; Dürauer, A
BPP 2019
(2019) Real-Time Monitoring and model-based Prediction of Purity and Quantity during chromatographic Purification of Biopharmaceuticals
Autoren: Sauer, D; Melcher, M; Walch, N; Scharl-Hirsch, T; Leisch, F; Jungbauer, A; Dürauer, A
APCChE 2019
(2019) Using large data for the prediction of quality attributes of an antibody capture process in real-time
Autoren: Scharl-Hirsch, T; Melcher, M; Felföldi, E; Sauer, D; Walch, N; Jungbauer, A; Dürauer, A; Leisch, F
European Congress of Applied Biotechnology ECAB5 2019
(2019) Real-time monitoring and model-based prediction of purity and quantity in a chromatographic step of a biopharmaceutical
Autoren: Sauer, D.; Melcher, M.; Walch, N.; Scharl-Hirsch, T.; Leisch, F.; Jungbauer, A.; Dürauer, A.
PREP Symposium 2019
(2019) Real-time monitoring and model.based prediction of purity and quantity during chromatographic purification of biopharmaceuticals
Autoren: Sauer, D; Melcher, M; Walch, N; Scharl-Hirsch, T; Leisch, F; Jungbauer, A; Dürauer, A
Biopartitioning & Purification Conference (BPP2019)
(2019) Real-time prediction of protein quantity and purity in downstream processing
Autoren: Melcher, M; Scharl-Hirsch, T; Sauer, D; Walch, N; Felföldi, E; Christler, A; Jungbauer, A; Dürauer, A; Leisch, F
European Congress of Applied Biotechnology ECAB5 2019
(2019) Hybrid semi-parametric modeling of preparative protein chromatography for online monitoring and real-time process-control
Autoren: Christler, A; von Stosch, M; Scharl-Hirsch, T; Melcher, M; Leisch, F; Dürauer, A; Jungbauer, A
European Congress of Applied Biotechnology ECAB5 2019
(2018) Handling of large data in a protein purification process
Autoren: Scharl-Hirsch, T; Melcher, M; Sauer, D; Walch, N; Jungbauer, A; Mayer, M; Dürauer, A; Leisch, F;
Data Science, Statistics & Visualisation DSSV 2018
(2018) Online monitoring of quantity, purity and potency of an antibody capture process
Autoren: Walch, N; Sauer, D; Felfoldi, E; Scharl-Hirsch, T; Melcher, M; Leisch, F; Jungbauer, A; Durauer, A
255th National Spring Meeting of the American Chemical Society ACS 2018 - Nexus of Food, Energy, and Water
(2018) Variation in karyotype and chromsome numbers in CHO cell lines and subclones
Autoren: Borth, N; Vcelar, S; Baumann, M; Jadhav, V; Melcher, M; Leisch, F
Cell Culture Engineering XVI
(2018) Model Based Real Time Monitoring in Chromatography
Autoren: Sauer, D; Walch, N; Scharl-Hirsch, T; Melcher, M; Leisch, F; Jungbauer, A; Dürauer, A
Recovery of Biological Products 2018
(2018) Advanced Continuous-Discrete Model for Joint Time-Use Expenditure and Mode Choice Estimation
Autoren: Jokubauskaite, S; Hössinger, R; Aschauer, F; Leisch, F; Gerike, R; Jara-Diaz, S; Peer, S; Schmid, B; Axhausen, K W
15th International Conference on Travel Behavior Research IATBR 2018
(2018) Online Monitoring of quantity, purity, and potency of an antibody capture process
Autoren: Walch, N; Sauer, D; Felföldi, E; Dürauer, A; Scharl-Hirsch, T; Melcher, M; Leisch, F; Jungbauer, A
255th National Spring Meeting of the American Chemical Society ACS 2018 - Nexus of Food, Energy, and Water
(2018) Is Faster Always Better? Results from Joint Time-Use-Expenditure and Mode Choice Model
Autoren: Jokubauskaite, S; Hössinger, R; Aschauer, F; Leisch, F; Gerike, R; Jara-Diaz, S; Peer, S; Schmid, B; Axhausen, K W
2018 Joint Statistical Meetings (JSM2018)
(2018) Machine Learning in Bioprocess Modeling
Autoren: Melcher, M; Scharl-Hirsch, T; Sauer, DG; Walch, N; Jungbauer, A; Mayer, M; Dürauer, A; Leisch, F
Data Science, Statistics & Visualisation DSSV 2018
(2017) Online Monitoring of Quantity, Purity and Potency of an Antibody Capture Process
Autoren: Walch, N; Sauer, DG; Felföldi, E; Mosor, M; Scharl-Hirsch, T; Melcher, M; Leisch, F; Jungbauer, A; Dürauer, A
International Symposium and Exhibit on the Separation of Proteins, Peptides and Polynucleotides (ISPPP) 2017
(2017) Real-time monitoring of quantity and purity of fibroblast growth factor-2 during the chromatographic capture step
Autoren: Sauer, D; Walch, N; Scharl-Hirsch, T; Melcher, M; Leisch, F; Jungbauer, A; Dürauer, A
International Symposium on Preparative and Process Chromatography PREP 2017
(2017) Online monitoring of quantity, purity and potency of an antibody capture process
Autoren: Walch, N., Sauer, D., Felföldi, E., Scharl-Hirsch, T., Melcher, M., Leisch, F., Jungbauer, A., Dürauer, A.
ISPPP 2017
(2017) Using R for Advanced Market Segmentation and Visualization
Autoren: Leisch, F
UQ Business School Research Seminar
(2017) Real-time Prediction of Potency, Purity and Concentration throughout a Chromatographic Capture Step of Basic Fibroblast Growth Factor 2
Autoren: Sauer, D; Walch, N; Felföldi, E; Mosor, M; Frank, A; Scharl-Hirsch, T; Melcher, M; Leisch, F; Jungbauer, A; Dürauer, A
European Summit of Industrial Biotechnology ESIB 2017
(2017) Real-time monitoring of purity, quantity and potency of fibroblast growth factor-2 during chromatographic capture and polishing steps
Autoren: Sauer, D., Walch, N., Scharl-Hirsch, T., Melcher, M., Leisch, F., Jungbauer, A., Dürauer, A.
ECAB 2017
(2017) Joint estimation of Discrete Choice and Time-Expenditure Allocation System
Autoren: Jokubauskaite, S; Hössinger, R; Aschauer, F; Leisch, F; Gerike, R; Jara-Diaz, S; Peer, S; Schmid, B; Axhausen, K W
22nd Young Statisticians Meeting
(2017) Online Monitoring of Quantity, Purity and Potency of an Antibody Capture Process
Autoren: Walch, N; Sauer, D; Felföldi, E; Mosor, M; Scharl-Hirsch, T; Melcher, M; Leisch, F; Jungbauer, A; Dürauer, A
European Summit of Industrial Biotechnology ESIB 2017
(2017) Prediction of fibroblast growth factor-2 protein's qualities in a downstream process: shrinkage regression and variable selection
Autoren: Tumolva, O; Melcher, M; Scharl-Hirsch, T; Sauer, D; Walch, N; Jungbauer, A; Dürauer, A; Leisch, F
European Summit of Industrial Biotechnology ESIB 2017
(2017) Joint Estimation of Discrete Choice and Time-Expenditure Allocation System
Autoren: Jokubauskaite, S; Hössinger, R; Aschauer, F; Gerike, R; Jara-Diaz, S; Peer, S; Schmid, B; Axhausen, K W; Leisch, F;
Workshop in Applied Econometrics WUWAETRIX-5, 2017
(2017) Real-time Prediction of Potency, Purity and Concentration throughout a Chromatographic Capture Step of Basic Fibroblast Growth Factor 2
Autoren: Sauer, DG; Walch, N; Felföldi, E; Mosor, M; Frank, AC; Scharl-Hirsch, T; Melcher, M; Leisch, A; Jungbauer, A; Dürauer, A
International Symposium and Exhibit on the Separation of Proteins, Peptides and Polynucleotides (ISPPP) 2017
(2017) Real-time monitoring of quality attributes during a chromatographic capture step using statistical models
Autoren: Scharl-Hirsch, T; Melcher, M; Sauer, D; Walch, N; Jungbauer, A; Mayer, M; Dürauer, A; Leisch, F
European Summit of Industrial Biotechnology ESIB 2017
(2017) Real-Time Monitoring of quantitiy and purity of firbroblast growth factor-2 during a chromatographic capture step
Autoren: Sauer, D.; Walch, N.; Scharl-Hirsch, T.; Melcher, M.; Leisch, F.; Jungbauer, A.; Dürauer, A.
PREP Symposium 2017
(2016) Boosting Historical Functional Models with an Application to Fermentation Data
Autoren: Brockhaus, S; Melcher, M; Leisch, F; Greven, S
Deutsche Arbeitsgemeinschaft Statistik (DAGStat) 2016
(2016) Real-time monitoring of purification processes – vision or reality?
Autoren: Sauer, D.,Walch, N., Felföldi, E., Mayer-Maschl, S., Scharl-Hirsch, T.,Melcher, M., Leisch, F., Dürauer, A., Jungbauer, A.
Evon Up 2 Date
(2016) Prediction of key parameters in the production of biopharmaceuticals using R
Autoren: Scharl, T; Melcher, M; Striedner, G; Leisch, F
UseR! 2016
(2016) Real-time monitoring of quantity, purity and potency of biopharmaceuticals in purification processes
Autoren: Sauer, D; Walch, N; Felföldi, E; Mayer-Maschl, S; Frank, A; Scharl-Hirsch, T; Melcher, M; Leisch, F; Dürauer,A; Jungbauer, A
ESIB – European Summit of Industrial Biotechnology
(2016) Real-time monitoring of quantity, purity and potency of biopharmaceuticals in purification processes
Autoren: Walch, N; Sauer, D; Felföldi, E; Mayer-Maschl, S; Frank, A; Scharl-Hirsch, T; Melcher, M; Leisch, F; Dürauer, A; Jungbauer, A
European Summit of Industrial Biotechnology ESIB 2016
(2015) On a Comprehensive Metadata Framework for Artificial Cluster Data Generation
Autoren: Dangl, R; Leisch, F
Conference of the International Federation of Classification Societies 2015
(2015) On a Comprehensive Metadata Framework for Artificial Cluster Data Generation
Autoren: Dangl, R; Leisch, F
8th International Workshop on Simulation 2015
(2015) Flexible Implementation of Resampling Schemes for Cluster Validation
Autoren: Leisch, F
ZüKoSt: Seminar on Applied Statistics, ETH & Universität Zürich
(2015) Benchmarking cluster algorithms for ordinal survey data
Autoren: Ernst, D; Leisch F
8th International Workshop on Simulation 2015
(2015) Statistical Modeling in Bioprocess Monitoring
Autoren: Melcher, M; Scharl, T; Luchner, M; Striedner, G; Leisch, F
Statistiktage 2015
(2015) The IFCS Cluster Benchmark Data Repository
Autoren: Leisch, F; IFCS Task Force on Benchmarking
Conference of the International Federation of Classification Societies 2015
(2015) Flexible Implementation of Resampling Schemes for Cluster Validation
Autoren: Leisch, F
10th Scientific Meeting of the Classification and Data Analysis Group CLADAG 2015
(2015) Benchmarking cluster algorithms for ordinal survey data
Autoren: Ernst, D; Leisch, F
Conference of the International Federation of Classification Societies 2015
(2014) Analyzing Cluster Algorithms on Functional Data with Sparse Measurements
Autoren: Yassouridis C; Leisch F
MBC2 2014
(2014) The Benchmark Data Library Project - a metadata repository
Autoren: Dangl, R; Leisch, F
Statistical Computing 2014
(2014) Statistical Variable and Model Selection for Large Data Sets
Autoren: Leisch, F
Forschungsseminar des Konrad Lorenz Institute of Ethology, Veterinärmedizinische Universität Wien
(2013) Finite mixture models for the computation of isotope ratios in mixed isotopic samples
Autoren: Koffler, D; Laaha, G; Leisch, F; Kappel, S; Prohaska, T
European Geosciences Union EGU General Assembly 2013
(2013) Resampling Methods for Exploring Cluster Stability
Autoren: Leisch, F
59th ISI World Statistics Congress
(2013) Online Prediction of Biomass and Product Yield for Recombinant Protein Production in Escherichia Coli Expression Systems
Autoren: Melcher, M; Scharl, T; Spangl, B; Luchner, M; Cserjan, M; Striedner, G; Leisch, F
ACIB Science Days 2013
(2013) The potential of isotopic research in analytical ecogeochemistry
Autoren: Prohaska, T., Irrgeher, J., Kappel, S., Horsky, M., Koffler , D., Laaha, G., Leisch, F. and Zitek, A.
European Winter Conference on Plasma Spectrochemistry 2013
(2013) Effects of Resampling Schemes on Stability of Cluster Validation Indices
Autoren: Dangl, R; Leisch, F
Conference of the International Federation of Classification Societies 2013
(2013) Resampling Methods for Exploring Cluster Stability
Autoren: Leisch, F
33rd Conference on Applied Statistics in Ireland
(2013) Resampling Methods for Exploring Cluster Stability
Autoren: Leisch, F
IFCS2013: United through Ordination and Classification
(2012) Robust archetypal analysis in R
Autoren: Leisch, F; Eugster, M
5th International Conference of the ERCIM WG on Computing & Statistics (ERCIM 2012)
(2012) Visualization and Benchmarking of Cluster Solutions and Mixture Models
Autoren: Leisch, F
Model-based Clustering and Classification 2012
(2012) R einmal anders: es gibt nicht nur den Prompt
Autoren: Leisch, F
Herbstseminar der Internationalen Biometrischen Gesellschaft 2012 - Statistische Software für Biometrische Auswertungen
(2012) Spectra Decomposition by Multivariate Curve Resolution Techniques for Bioprocess Monitoring
Autoren: Melcher, M; Spangl, B; Luchner, M; Striedner, G; Leisch, F
ACIB Science Days 2012
(2012) Visualization and Benchmarking of Cluster Results
Autoren: Leisch, F
Forschungsseminar des Instituts für Angewandte Statistik der Johannes Kepler Universität Linz 2012
(2012) Pre-processing bioprocess sensor data - optimal hyper parameters for on-line filtering
Autoren: Möser, R., Spangl, B., Luchner, M., Striedner, G., Leisch, F.
Advances in Process Analytics and Control Technology APACT 12 2012
(2011) Executable Papers for the R Community: The Rsquared Platform for Reproducible Research
Autoren: Leisch, F., Eugster, M., Hothorn, T.
International Conference on Computational Science ICCS 2011
(2011) Three Good Reasons NOT to Use Five and Seven Point Likert Items
Autoren: Dolnicar, S., Grün, B., Leisch, F., Rossiter, J.
21st CAUTHE National Conference 2011
(2011) Variable Selection for Bioprocess Data
Autoren: Leisch, F
ACIB Vorstellungsworkshop bei Siemens Wien 2011
(2011) Reproducible Statistical Research in Practice
Autoren: Leisch, F
Jahreshauptversammlung der Österreichischen Statistischen Gesellschaft 2011
(2010) Quality-Based Clustering of Functional Data: Applications to Time Course Microarray Data
Autoren: Scharl, T; Leisch, F
32nd Annual Conference of the German-Classification-Society 2008
(2008) Creating R Packages: A Tutorial.
Autoren: Leisch,F;
18th Symposium on Computational Statistics COMSTAT 2008
(2008) A Toolbox for Bicluster Analysis in R.
Autoren: Kaiser,S;Leisch,F;
18th Symposium on Computational Statistics COMSTAT 2008
(2008) Using Neighborhood Graphs for the Investigation of E. coli Gene Clusters.
Autoren: Scharl,T;Leisch,F;
Computational Systems Biology WCSB 2008
(2008) Modelling background noise in finite mixtures of generalized linear regression models
Autoren: Leisch, F
18th Symposium on Computational Statistics COMSTAT 2008
(2008) Vizualizing Gene Clusters Using Neighborhood Graphs in R.
Autoren: Scharl,T;Leisch,F;
18th Symposium on Computational Statistics COMSTAT 2008
(2008) Bench Plot and Mixed Effects Models: First Steps toward a Comprehensive Benchmark Analysis Toolbox.
Autoren: Eugster, M;Leisch,F;
18th Symposium on Computational Statistics COMSTAT 2008
(2007) R behind the scenes: using S the (un)usual way.
Autoren: Leisch,F;
56th Session of the International Statistical Institute 2007
(2007) Testing for genuine multimodality in finite mixture models: Application to linear regression models
Autoren: Grun, B; Leisch, F
30th Annual Conference of the German-Classification-Society
(2006) Jackknife distances for clustering time - course gene expression data.
Autoren: Scharl,T; Leisch,F;
Joint Statistical Meetings 2006
(2006) Extending Standard Cluster Algorithms to Allow for Group Constraints.
Autoren: Leisch, F; Gruen, B;
Compstat 2006
(2006) The Stochastic QT-clust Algorithm: Evaluation ofStability and Variance on -course Microarray Data.
Autoren: Leisch, F; Scharl, T;
Compstat 2006
(2006) Fitting Finite Mixtures of Linear Regression with Varying & Fixed Effects in R.
Autoren: Leisch, F; Gruen, B;
Compstat 2006
(2006) Finite Mixture Model Diagnostics Using the Parametric Bootstrap.
Autoren: Leisch, F; Gruen, B;
JSC - Junior Scientist Conference 2006
(2005) Zeitbudgets, Sozialverhalten und Kortisolmetabolitenkonzentrationen bei Fleckvieh- und Braunviehkühen, die in einem Roboter oder im Fischgrätenmelkstand gemolken werden.
Autoren: Lexer, D; Hagen, K; Leisch, F; Palme, R; Troxler, J; Waiblinger, S;
36. Tagung Angewandte Ethologie bei Nutztieren der DVG
(2004) Exploring the Structure of Mixture Model Components.
Autoren: Leisch, F;
COMPSTAT 2004 - International Conference on Computational Statisics
(2004) Testing for structural change over time of brand attribute perceptions in market segments
Autoren: Dolnicar, S; Leisch, F
C Warren Neel International Conference on Statistical Data Mining and Knowledge Discovery
(2004) Bootstrapping Finite Mixture Models.
Autoren: Gruen, B; Leisch, F;
COMPSTAT 2004 - International Conference on Computational Statisics
(2004) Time Efficient Brand Image Measurement - Is Binary Format Sufficient to Gain the Market Insight Reqired?
Autoren: Dolnicar, S; Gruen, B; Leisch, F;
33rd European Marketing Academy Conference;
(2003) Sweave and Beyond: Computations on Text Documents
Autoren: Leisch, F;
3rd International Workshop on Distributed Statistical Computing 2003
(2003) Development of a Posteriori Market Segments Ver Time: A Tracking Procedure
Autoren: Leisch, F; Dolnicar, S;
32nd European Marketing Academy Conference
(2002) Sweave: Dynamic generation of statistical reports using literate data analysis
Autoren: Leisch, F
15th Biannual Conference on Computational Statistics COMPSTAT 2002
(2002) Fusion of fuzzy system and conventional technique to evaluate weather and terrain effects on the vehicle operations
Autoren: Pradhan, A; Jain, LC; Filippidis, A; Leisch, F
1st International Workshop on Hybrid Intelligent Systems, HIS 2001
(2002) StatDataML: An XML Format for Statistical Data
Autoren: Meyer, D; Leisch, F; Hothorn, T;
15th Biannual Conference on Computational Statistics COMPSTAT 2002
(2002) Neural techniques in logo recognition
Autoren: Joshi, V; Jain, LC; Seiffert, U; Zyga, K; Price, R; Leisch, F
1st International Workshop on Hybrid Intelligent Systems, HIS 2001
(1999) Stationarity and stability of autoregressive neural network processes
Autoren: Leisch, F; Trapletti, A; Hornik, K
12th Annual Conference on Neural Information Processing Systems NIPS 1998
(1999) Stabilization of k-Means with Bagged Clustering
Autoren: Leisch, F; Hornik, K;
Joint Statistical Meeting
(1998) Competitive Learning for Binary Valued Data
Autoren: Leisch, F; Weingessel, A; Dimitriadou, E;
Artificial Neural Networks (ICCAN 98)
(1998) Stationary and Stability of Autoregressive Neural Network Processes
Autoren: Leisch,F; Trapletti,A, Hornik, K;
CoWAN 98: Cottbuser Workshop Aspekte Neuronalen Lernens
(1997) Error-Dependent Resampling for Artificial Neural Network Classifiers
Autoren: Leisch, F; Hornik, K;
Herbstschule für Konnektionismus und Neuronale Netze (HeKoNN) 96.
(1997) ARC-LH: A new adaptive resampling algorithm for improving ANN classifiers
Autoren: Leisch, F; Hornik, K
10th Annual Conference on Neural Information Processing Systems NIPS 1996
(1997) Combining Neural Networks Voting Classifiers and Error Correcting Output Codes
Autoren: Leisch, F; Hornik, K;
Invited Talk to the Slovak Academy of Science
(1995) Performance Measures for NN Classifiers.
Autoren: Leisch, F; Jain, L.C; Hornik, K;
ETD2000 1995
Uncovering the black-box of data-driven models in biotechnological process modeling
Autoren: Matthias Medl, Theresa Scharl, Friedrich Leisch, Astrid Dürauer
Hybrid semi-parametric modeling of preparative protein chromatography for online monitoring and real-time process control
Autoren: Christler, A; Felföldi, E; von Stosch, M; Scharl-Hirsch, T; Melcher, M; Leisch, F; Dürauer, A; Jungbauer, A
On a Comprehensive Metadata Framework for Artificial Cluster Data Generation
Autoren: Dangl, R; Leisch, F
Using R for Advanced Market Segmentation and Visualization
Autoren: Leisch, F
Benchmarking Different Clustering Algorithms on Functional Data
Autoren: Christina Yassouridis, Friedrich Leisch
Modeling the Protein Quantity and Purity in Downstream Processing using Methods of Statistical Learning
Autoren: Melcher, M; Scharl-Hirsch, T; Sauer, D; Walch, N; Felfäldi, E; Christler, A; Jungbauer, A; Dürauer, K; Leisch, F
Application of CNN ensembles to model Fourier transform infrared spectra
Autoren: Matthias Medl, Theresa Scharl, Friedrich Leisch
Handling large data for the prediction of quality attributes of an antibody capture process in real-time
Autoren: Scharl-Hirsch, T; Melcher, M; Felföldi, E; Sauer, D; Walch, N; Jungbauer, A; Dürauer, A; Leisch, F
Real Time Monitoring and Model-Based Prediction of Purity and Quantity of Biopharmaceuticals
Autoren: Sauer, D; Melcher, M; Walch, N; Scharl-Hirsch, T; Leisch, F; Jungbauer, A; Dürauer, A