Presentations
2024
Feb. 22, 2024. Bioinformatics for Pathogen Genomics. Alexander Schliep at Zentrum für Künstliche Intelligenz in der Public Health-Forschung (ZKI-PH), Robert-Koch-Institut (Invited Talk)
2020
March 6, 2020. Compression and computation in Hidden Markov Models. Alexander Schliep at Department of Computer Science, University of Helsinki, Helsiniki, Finland (Invited Talk)
2019
Nov. 28, 2019. A Modeling Approach for Bioinformatics Workflows: A Design Science Study. Laiz Heckmann at Practice of Enterprise Modeling Conference (PoEM), Luxembourg (Contributed Talk)
Jan. 9, 2019. Using clickers to predict students final courses grades, an artificial intelligence approach. Fionn Delahunty at Conference on Teaching and Learning (KUL2019), Göteborg, Sweden (Contributed Talk)
2018
Nov. 29, 2018. Machine learning in biology and health. Alexander Schliep at Keynote at the 10th Swedish Meeting on Mathematics in Biology, KTH and Stockholm University, Stockholm, Sweden (Invited Talk)
Nov. 7, 2018. Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models. John Martinsson at The 21st IEEE International Conference on Intelligent Transportation Systems, Maui, Hawaii, USA (Contributed Talk)
Nov. 6, 2018. Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs. Edvin Listo Zec at The 21st IEEE International Conference on Intelligent Transportation Systems, Maui, Hawaii, USA (Contributed Talk)
Sept. 24, 2018. Effect Of Network Topology On The Performance Of ADMM-based SVMs.. Shirin Tavara at High Performance Machine Learning Workshop (HPML 2018) at the 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Lyon, France (Contributed Talk)
July 13, 2018. Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. Olof Mogren at Blood Glucose Level Prediction Challenge at 3rd International Workshop on Knowledge Discovery in Healthcare Data (KDH2018) co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI) (Contributed Talk)
Feb. 1, 2018. An Optimization Problem Related to Bloom Filters With Bit Patterns. Peter Damaschke at SOFSEM 2018: 44th International Conference on Current Trends in Theory and Practice of Computer Science, Krems an der Donau, Austria (Contributed Talk)
2017
Jan. 24, 2017. Statistical Bioinformatics at Genome-Scale. Alexander Schliep at SciLifeLab, Stockholm University, Stockholm, Sweden (Invited Talk)
2016
Nov. 11, 2016. Compressive Omics: Data science for biomedical applications. Alexander Schliep at 4th Swedish Workshop on Data Science (SweDS 2016), Skövde, Sweden (Invited Talk)
Oct. 17, 2016. Statistical Bioinformatics for Genome-Scale Data. Alexander Schliep at Lifescience Area of Advance Seminar Series, Chalmers, Gothenburg, Sweden (Invited Talk)
July 11, 2016. Meaningful Data Compression and Reduction of High-Throughput Sequencing Data. Alexander Schliep at Special session on Compressive Omics, ISMB 2016, Orlando, FL (Contributed Talk)
June 17, 2016. Compressive Genomics: Statistical Bioinformatics for Genome-Scale Data. Alexander Schliep at Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine (Invited Talk)
April 20, 2016. Big Data Science with Applications in Genomics. Alexander Schliep at ULB, Brussels, Belgium (Invited Talk)
April 18, 2016. Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression. John Wiedenhoeft at RECOMB 2016, Santa Monica, CA (Contributed Talk)
2015
Nov. 16, 2015. Single-cell Genomics and Bayesian Statistics at Genome Scale. Alexander Schliep at C3BI Mini Symposium, Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, France (Invited Talk)
Jan. 28, 2015. Big Data Science with Applications in Genomics.. Alexander Schliep at Department of Computer Science, University of Luxembourg, Luxembourg (Invited Talk)
2014
Sept. 30, 2014. Compressive Genomics for High-Throughput Sequencing Data. Alexander Schliep at Institut Pasteur, Paris, France (Invited Talk)
May 15, 2014. Compressive Genomics for High-Throughput Sequencing Data. Alexander Schliep at DOE Joint Genome Institute (JGI), Walnut Creek, CA (Invited Talk)
Jan. 27, 2014. Statistical Bioinformatics for the Post-Genomic Age. Alexander Schliep at Institut de Génétique et de Biologie Moléculaire et Cellulaire (Invited Talk)
Jan. 24, 2014. Efficient statistical computations on genome-scale data using reduced representations. Alexander Schliep at SMPGD 2014 : Statistical Methods for Post-Genomic Data (http://smpgd2014.sciencesconf.org/), University Pierre et Marie Curie, Paris (Contributed Talk) [pdf]
Jan. 22, 2014. Statistical Bioinformatics using Reduced Representations. Alexander Schliep at Luxembourg Centre for Systems Biomedicine University of Luxembourg, Luxembourg (Invited Talk)
2013
Sept. 13, 2013. Compressive Genomics for High-Throughput Sequencing Data. Alexander Schliep at Institute for Advanced Simulation (IAS), Jülich Supercomputing Centre (JSC), Germany (Invited Talk)
Aug. 2, 2013. Comparison of eukaryotic single cell assembly tools. Rajat Roy at ICOP XIV - International Congress of Protistology. July 28 to August 2 2013, Vancouver, Canada. (Contributed Talk) [pdf]
2012
Sept. 17, 2012. Solving large-scale approximate string matching problems with a geometric embedding. Alexander Schliep at Kolloquium der Fakultät für Mathematik und Informatik, FernUniversität in Hagen, Germany (Invited Talk)
Sept. 12, 2012. Indel-tolerant read mapping with trinucleotide frequencies using cache-oblivious kd-trees. Alexander Schliep at ECCB 2012, the European Conference on Computational Biology, Basel, Switzerland (Contributed Talk)
May 28, 2012. Group testing and DNA Microarrays. Alexander Schliep at Nagoya University, Nagoya, Japan (Invited Talk)
May 25, 2012. Indel-tolerant read mapping of high-throughput sequencing reads. Alexander Schliep at CBRC, AIST, Tokyo, Japan (Invited Talk)
April 16, 2012. Indel-sensitive Read Mapping with 2 and 3-gram Frequencies and Cache Oblivious kd-Trees. Md Mahmud at DIMACS, Rutgers (Invited Talk)
2011
Dec. 7, 2011. Efficient Full Bayesian HMM for CNV Detection. Alexander Schliep at DIMACS, Rutgers http://dimacs.rutgers.edu/Workshops/Medicine/program.html (Invited Talk)
Nov. 21, 2011. Efficient Full Bayesian HMM for CNV Detection. Alexander Schliep at NJIT, Department of Computer Science (Invited Talk)
Sept. 6, 2011. Speeding Up Bayesian HMM by the Four Russians Method. Md Mahmud at Workshop on Algorithms in Bioinformatics (WABI), Saarbrücken, Germany (Contributed Talk)
2010
Oct. 27, 2010. Analyzing gene expression during development. Alexander Schliep at Department of Statistics, Rutgers (Invited Talk)
Oct. 18, 2010. Clustering time-course data. Alexander Schliep at Stevens Institute of Technology, Hoboken, NJ (Invited Talk)
Oct. 8, 2010. Heterogenous data and mixture models. Alexander Schliep at CUNY Statistics Seminar, The Graduate Center, CUNY, NYC, NYC (Invited Talk)
May 24, 2010. Computational analysis of 3D mouse embryo images. Ruben Schilling at MRC Human Genetics Unit Western General Hospital Crewe Road Edinburgh EH4 2XU, UK. (Invited Talk)
April 19, 2010. Computational analysis of 3D mouse embryo images. Ruben Schilling at Department of Computer Science & BioMaPS Institute for Quantitative Biology Rutgers, The State University of New Jersey, Piscataway, NJ, USA (Invited Talk) [pdf]
Feb. 12, 2010. Efficient algorithms for the computational design of tiling arrays. Alexander Schliep at Gladstone Institute, UCSF, San Francisco, CA (Invited Talk)
Feb. 11, 2010. Semi-supervised learning from temporal and spatial patterns of gene expression in Drosophila. Alexander Schliep at Statistics and Genomics Seminar, Department of Biostatistics, UC Berkeley, CA (Invited Talk)
2009
Nov. 2, 2009. Clustering Biological Data Using Mixture Models. Alexander Schliep at DIMACS Interdisciplinary Seminar Series, DIMACS, Piscataway, NJ (Invited Talk)
Oct. 30, 2009. Designing and analyzing DNA microarrays. Alexander Schliep at Workshop on Evolutionary Genetics and Genomics, Rutgers, New Brunswick, NJ (Invited Talk)
July 1, 2009. Constrained Mixture Estimation for Analysis and Robust Classification of Clinical Time Series. Ivan Costa at ISMB/ECCB, Stockholm, Sweden (Contributed Talk)
June 15, 2009. Efficient algorithms for the computational design of tiling arrays. Alexander Schliep at Forschungszentrum Jülich, Germany (Invited Talk)
April 5, 2009. Computational analysis of 3D mouse embryo in-situ images. Ruben Schilling at BioimageInformatics Conference 2009 Howard Hughes Medical Institute Janelia Farm Campus 19700 Helix Drive Ashburn, VA 20147 (Poster)
2008
Nov. 26, 2008. Computational analysis of 3D mouse embryo images. Ruben Schilling at Universität zu Lübeck Institut für Mathematik (Invited Talk) [pdf]
Sept. 22, 2008. Prediction of functional residues and clustering for protein families using mixtures. Benjamin Georgi at European Conference in Computational Biology (ECCB) 2008 (Poster) [pdf]
July 21, 2008. Inferring Differentiation Pathways from Gene Expression. Ivan Costa at International Conference of Intelligent Systems for Molecular Biology, Toronto, Canada (Contributed Talk)
July 21, 2008. Automatic Fusion of 3D staining patterns from mouse embryo tomograms. Ruben Schilling at ISMB 2008 Toronto (Poster) [pdf]
July 9, 2008. Quantitative Bioinformatics from Imaging Data. Ruben Schilling at MPI for Developmental Biology, Department Evolutionary Biology, Tübingen, Germany (Invited Talk)
July 2, 2008. Detecting functional modules in heterogeneous biological data . Alexander Schliep at Institute of Genetics and Molecular and Cellular Biology, Strasbourg (Invited Talk)
May 1, 2008. Algorithms for the Design of DNA Microarrays. Alexander Schliep at Department of Computer Science, Rutgers University (Invited Talk)
April 30, 2008. Detecting functional modules from heterogenous mass data. Alexander Schliep at BioMaps Institute for Quantitative Biology, Rutgers University (Invited Talk)
April 4, 2008. Detecting functional modules from heterogenous mass data. Alexander Schliep at College of Computing, Georgia Tech (Invited Talk)
April 3, 2008. Detecting functional modules from heterogenous mass data. Alexander Schliep at The Volgenau School of Information Technology and Engineering, George Mason University (Invited Talk)
March 31, 2008. Detecting functional modules in heterogeneous biological data. Alexander Schliep at Department of Electrical Engineering & Computer Science, University of Kansas (Invited Talk)
Feb. 11, 2008. Detecting functional modules in heterogeneous biological data. Alexander Schliep at Department of Mathematics, University of Delaware (Invited Talk)
2007
Nov. 9, 2007. Efficient algorithms for the computational design of tiling arrays. Alexander Schliep at ZBH Zentrum für Bioinformatik, Universität Hamburg (Invited Talk)
Sept. 24, 2007. Detecting functional modules from heterogenous mass data. Alexander Schliep at BIOINF 2007 Halle/Saale, "Lernen-Wissen-Adaption" Workshop Bioinformatics (Invited Talk)
Sept. 18, 2007. Context-specific Independence mixture Modelling for Protein Families. Benjamin Georgi at European Conference on Machine Learning (ECML),Warsaw, Poland (Contributed Talk) [pdf]
Sept. 17, 2007. Partially-supervised context-specific independence mixture modeling. Benjamin Georgi at workshop on Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions on the ECML 2007, Warsaw, Poland (Contributed Talk)
Sept. 9, 2007. Efficient computational design of tiling arrays using a shortest path approach. Alexander Schliep at WABI 2007, Philadelphia (Contributed Talk)
Aug. 29, 2007. Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. Ivan Costa at Brazilian Symposium on Bioinformatics (Contributed Talk)
April 6, 2007. Mixture models for heterogeneous biological data . Alexander Schliep at Symposium on Bioinformatics and Biomathematics, Centrum voor Wiskunde en Informatica, Amsterdam (Invited Talk)
March 9, 2007. Mixture model based group inference in fused genotype and phenotype data. Benjamin Georgi at 31st Annual Conference of the German Classification Society on Data Mining, Machine Learning and Data Analysis, Freiburg, Germany (Contributed Talk)
2006
Sept. 18, 2006. On the Feasibility of Heterogeneous Analysis of Large Scale Biological Data. Ivan Costa at ECML Workshop on Data and Text Mining for Integrative Biology (Contributed Talk) [pdf]
Aug. 8, 2006. Context-specific independence mixture modeling for positional weight matrices. Benjamin Georgi at Intelligent Systems in Molecular Biology (ISMB) , Fortaleza, Brazil (Contributed Talk)
Aug. 8, 2006. Gene Expression Trees in Blood Cell Development. Ivan Costa at Plos Track of the International Conference on Intelligent Systems for Molecular Biology (Contributed Talk) [pdf]
Aug. 4, 2006. Decoding Non-Unique Oligonucleotide Hybridization Experiments. Alexander Schliep at Intelligent Systems in Molecular Biology (ISMB), Fortaleeza, Brasil (Contributed Talk)
Aug. 2, 2006. Probabilistic Models for Transcription Factor Binding Site Detection,. Benjamin Georgi at 1st MAASCAT Workshop - Machine Learning and Applications to Bioinformatics, Recife, Brazil (Invited Talk)
July 11, 2006. Context-specific Independence Mixture Modeling for Positional Weight Matrices. Benjamin Georgi at Journal club of the Algorithmic Bioinformatics group, Free University, Berlin, Germany (Invited Talk)
June 30, 2006. Statistische Gruppentests mit Molekularbiologischen Anwendungen. Alexander Schliep at Department of Statistics, Universität Dortmund (Invited Talk)
June 27, 2006. Detecting chromosomal aberrations using Hidden Markov Models with inhomogeneous Markov chains. Alexander Schliep at Statistical Computing 2006, Schloss Reissensburg (Invited Talk) [pdf]
May 24, 2006. Treeprobes: Grouptesting biological agents related by phylogenetic trees. Alexander Schliep at Los Alamos National Laboratory (Invited Talk)
May 19, 2006. Group testing DNA Microarrays for detection of biological agents. Alexander Schliep at DIMACS workshop on combinatorial group testing (Invited Talk)
May 12, 2006. Data Mining mit Mischmodellen für heterogene Daten aus der Molekularbiologie. Alexander Schliep at Kolloquium des Fachbereichs Mathematik und Informatik der Philipps-Universität Marburg (Invited Talk)
March 16, 2006. Statistische Gruppentests mit Molekularbiologischen Anwendungen. Alexander Schliep at Institut für Informatik, Universität Dortmund (Invited Talk)
March 8, 2006. Mining Heterogenous Data with Mixture Models. Alexander Schliep at Second German-Japanese Symposium on Classification, Berlin (Invited Talk)
Feb. 1, 2006. Statistische Gruppentests mit Molekularbiologischen Anwendungen. Alexander Schliep at Institut für Informatik, Heinrich-Heine-Universität Düsseldorf (Invited Talk)
Jan. 13, 2006. Clustering of Gene Expression Time-courses: Methods and Validity of Solutions. Ivan Costa at Bioinformatics Working Seminar of the Max Planck Institute of Molecular Plant Physiology (Invited Talk) [pdf]
2005
Dec. 10, 2005. Mixture model estimation with constraints: analysis of time-course gene expression with heterogeneous data. Ivan Costa at NIPS workshop on New Problems and Methods in Computational Biology (Contributed Talk) [pdf]
Dec. 9, 2005. Statistische Gruppentests mit Molekularbiologischen Anwendungen. Alexander Schliep at Martin-Luther-Universität Halle-Wittenberg (Invited Talk)
Nov. 3, 2005. Mining Heterogenous Data with Mixture Models. Alexander Schliep at Dagstuhl Seminar Managing and Mining Genome Information, Schloß Dagstuhl (Invited Talk)
Oct. 26, 2005. Analyzing ArrayCGH Data using Non-Homogenous Hidden Markov Models. Alexander Schliep at Royal Institute of Technology (KTH), Stockholm (Invited Talk)
Oct. 25, 2005. Developing Bioinformatics Solutions with the GHMM. Alexander Schliep at Royal Institute of Technology (KTH), Stockholm (Invited Talk)
July 22, 2005. Analyzing Gene Expression Time-Courses. Alexander Schliep at Kolloquium der Fakultät für Mathematik und Informatik und des Jena Centre for Bioinformatics, Jena (Invited Talk)
June 9, 2005. Analyzing Gene Expression Time-Courses. Alexander Schliep at German Cancer Research Center (DKFZ), Heidelberg (Invited Talk)
June 7, 2005. Analyzing ArrayCGH Data. Alexander Schliep at Biozentrum, Universität Würzburg (Invited Talk)
June 3, 2005. Analyzing ArrayCGH Data. Alexander Schliep at Institute for Computer Science, Ludwig-Maximilians-Universität München (Invited Talk)
March 9, 2005. Detecting chromosomal aberrations using Hidden Markov Models with inhomogeneous Markov chains. Alexander Schliep at Jahrestagung der Gesellschaft für Klassifikation GfKl, Magdeburg (Contributed Talk)
2004
Aug. 21, 2004. Designing Microarrays for Detection of Biological Agents. Alexander Schliep at The Center for Advancement of Genomics (TCAG), Rockville, MD (Invited Talk)
Aug. 19, 2004. Robust Analysis of Gene Expression Time-Course Data. Alexander Schliep at Total Microarray Data Analysis, Cambridge Healthtech Inc., Washington, DC (Invited Talk)
July 30, 2004. Teaching Hidden Markov Models through Experiments with GHMM and HMMEd. Alexander Schliep at Workshop on Education in Bioinformatics (WEB 04), Glasgow, UK (Contributed Talk)
July 19, 2004. Inference of Groups in Gene Expression. Alexander Schliep at IFCS 2004: The 2004 Meeting of the International Federation of Classification Societies, Chicago, IL (Invited Talk)
June 6, 2004. A mixture of Hidden Markov Models: detecting groups in gene expression time-courses. Alexander Schliep at Statistical Computing 2004, Schloß Reissensburg, Günzburg (Contributed Talk)
May 24, 2004. A graph-based approach to clustering of profile Hidden Markov Models. Benjamin Georgi at 2. Treffpunkt Bioinformatik in Berlin-Brandenburg, Berlin, Germany (Invited Talk)
2003
Oct. 3, 2003. Analyzing Gene-Expression Time-Series Data. Alexander Schliep at Center for Bioinformatics and Molecular Biostatistics, University of California, San Francisco, CA (Invited Talk)
Sept. 25, 2003. Mixture models of Heterogenous Data. Alexander Schliep at T-10 Group Seminar, Los Alamos National Laboratory, NM (Invited Talk)
Jan. 29, 2003. Statistical Pattern Classification in Bioinformatics. Alexander Schliep at Ringvorlesung Bioinformatik, Berliner Centrum für genombasierte Bioinformatik und FU Berlin (Invited Talk)
2002
Nov. 20, 2002. Dealing with Non-Unique Probes: DNA Chips and Group Testing. Alexander Schliep at Dagstuhl Seminar Computational Biology, Schloß Dagstuhl (Invited Talk)
Nov. 13, 2002. Proclust: Graph-Based Clustering of Protein Sequences. Alexander Schliep at Berliner Centrum für genombasierte Bioinformatik (Invited Talk)
Aug. 21, 2002. Group testing and DNA chips. Alexander Schliep at Center for Non-linear Studies, Los Alamos National Laboratory, NM (Invited Talk)
July 26, 2002. Selecting target-specific probe sets for DNA chips. Alexander Schliep at University of California at Irvine, CA (Invited Talk)
July 24, 2002. Model-based Clustering with Hidden Markov Models and its Application to Financial Time-series Data. Alexander Schliep at Jahrestagung der deutschen Gesellschaft für Klassifikation, Mannheim (Contributed Talk)
May 23, 2002. Gato & CATBox: Teaching Graph Algorithms through visualization and experimentation. Alexander Schliep at Workshop on Visualization and Mathematics, Berlin (Contributed Talk)
March 5, 2002. Gene in DNS-Sequenzen suchen und finden. Alexander Schliep at Institut für Mathematik, BTU Cottbus (Invited Talk)
Jan. 7, 2002. Algorithmic challenges in computational biology. Alexander Schliep at Max-Planck-Institut für Molekulare Genetik, Berlin (Invited Talk)
2001
Nov. 17, 2001. Clustering Protein Sequences Structure Prediction by Transitive Homology. Alexander Schliep at In Silico Biology: Bioinformatics after the Human Genome. The Third Georgia Tech-Emory International Conference on Bioinformatics, GA (Invited Talk)
Nov. 14, 2001. Automated visualization of graph algorithms. Alexander Schliep at Computer Science Education Seminar, Georgia Institute of Technology, GA (Invited Talk)
Nov. 8, 2001. An efficient algorithm for selecting target-specific probes for DNA arrays. Alexander Schliep at Berkeley Drosophila Genome Project, University of California at Berkeley & Lawrence Berkeley National Laboratory, CA (Invited Talk)
Nov. 7, 2001. A Bayesian approach to learning Hidden Markov Model topology. Alexander Schliep at Department of Computer Engineering, University of California at Santa Cruz, CA (Invited Talk)
Nov. 5, 2001. Outperforming PSI-Blast on the search for remote homologues. Alexander Schliep at Computational Genomics Group, University of California at Berkeley, CA (Invited Talk)
Oct. 22, 2001. Finding remote homologue proteins with a graph-based clustering approach. Alexander Schliep at National Center for Biotechnology Information (NCBI), National Institute of Health, MD (Invited Talk)
Oct. 19, 2001. Teaching graph algorithms through animation. Alexander Schliep at Department of Mathematical Sciences, University of Delaware, DE (Invited Talk)
Oct. 17, 2001. Finding remote homologue proteins by using a graph-based clustering approach. Alexander Schliep at Center for Genome Studies, Columbia University, NY (Invited Talk)
Oct. 16, 2001. A simple model for dealing with multi-domain proteins. Alexander Schliep at Pels Family Center for Biochemistry and Structural Biology, Rockefeller University, NY (Invited Talk)
Oct. 10, 2001. Improved recognition of remote homologue proteins by using a graph-based clustering approach. Alexander Schliep at Center for Non-linear Studies, Los Alamos National Laboratory, NM (Invited Talk)
Oct. 3, 2001. A tutorial on model-based clustering using Hidden Markov Models for time-series analysis. Alexander Schliep at Nonproliferation and International Security, Los Alamos National Laboratory, NM. (Invited Talk)
June 7, 2001. Strongly connected components can predict protein structure. Alexander Schliep at Cologne-Twente Workshop, Köln (Contributed Talk)
May 21, 2001. Automated visualization of graph algorithms. Alexander Schliep at Dagstuhl Seminar Software Visualization, Schloß Dagstuhl. (Invited Talk)
May 14, 2001. Ein graphenbasiertes Clusterverfahren zur Erkennung entfernt homologer Proteine. Alexander Schliep at Kolloquium über Parallelverarbeitung in technisch-naturwissenschaftlichen Anwendungen, Forschungszentrum Jülich (Invited Talk)
2000
Nov. 24, 2000. Developing Gato and CATBox with Python: Teaching graph algorithms through visualization and experimentation. Alexander Schliep at Multimedia Tools for Communicating Mathematics, Lissabon, Portugal (Invited Talk)