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Alexander Schliep

Universitetslektor

Alexander Schliep
Universitetslektor
Akademisk grad: Doktor,
alexander.schliep@cse.gu.se
0766-086963

Besöksadress: Rännvägen 6b , 41258 Göteborg


Data Science (DS) vid Institutionen för data- och informationsteknik (Mer information)
412 96 Göteborg
0317721000
Besöksadress: Rännvägen 6B , 412 58 Göteborg

Senaste publikationer

A Modeling Approach for Bioinformatics Workflows
Laiz Heckmann Barbalho de Figueroa, Rema Salman, Jennifer Horkhoff, Soni Chauhan, Marcela Davila Lopez et al.
The Practice of Enterprise Modeling - 12th {IFIP} Working Conference, PoEM 2019, Luxembourg, Luxembourg, November 27-29, 2019, Proceedings, Springer, Paper i proceeding 2019
Paper i proceeding

Bayesian optimization in ab initio nuclear physics
A. Ekstrom, C. Forssen, C. Dimitrakakis, D. Dubhashi, H. T. Johansson et al.
Journal of Physics G-Nuclear and Particle Physics, Artikel i vetenskaplig tidskrift 2019
Artikel i vetenskaplig tidskrift

Bayesian localization of CNV candidates in WGS data within minutes
John Wiedenhoeft, A. Cagan, R. Kozhemyakina, R. Gulevich, Alexander Schliep
Algorithms for Molecular Biology, Artikel i vetenskaplig tidskrift 2019
Artikel i vetenskaplig tidskrift

Using clickers to predict students final courses grades, an artificial intelligence approach
Fionn Delahunty, Alexander Schliep
Extended Abstract of KUL-2019 presentation, Konferensbidrag (offentliggjort, men ej förlagsutgivet) 2019
Konferensbidrag (offentliggjort, men ej förlagsutgivet)

Effect of Network Topology on the Performance of ADMM-Based SVMs
Shirin Tavara, Alexander Schliep
30th International Symposium on Computer Architecture and High Performance Computing, {SBAC-PAD} 2018, Lyon, France, September 24-27, 2018, IEEE, Paper i proceeding 2018
Paper i proceeding

Using HaMMLET for Bayesian Segmentation of WGS Read-Depth Data.
John Wiedenhoeft, Alexander Schliep
Methods in molecular biology (Clifton, N.J.), Kapitel i bok 2018
Kapitel i bok

Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks
John Martinsson, Alexander Schliep, Christian Meijner, Simon Persson, Olof Mogren
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence {(IJCAI-ECAI} 2018), Stockholm, Schweden, July 13, 2018., CEUR-WS.org, Paper i proceeding 2018
Paper i proceeding

An optimization problem related to bloom filters with bit patterns
Peter Damaschke, Alexander Schliep
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Paper i proceeding 2018
Paper i proceeding

Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models
John Martinsson, Nasser Mohammadiha, Alexander Schliep
2018 21st International Conference on Intelligent Transportation Systems (ITSC), IEEE, Paper i proceeding 2018
Paper i proceeding

Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs
Edvin Listo Zec, Nasser Mohammadiha, Alexander Schliep
21st International Conference on Intelligent Transportation Systems, {ITSC} 2018, IEEE, Paper i proceeding 2018
Paper i proceeding

Visar 31 - 40 av 68

2010

PyMix--the python mixture package--a tool for clustering of heterogeneous biological data.
Benjamin Georgi, Ivan Gesteira Costa, Alexander Schliep
BMC bioinformatics, Artikel i vetenskaplig tidskrift 2010
Artikel i vetenskaplig tidskrift

2009

Semi-supervised Clustering of Yeast Gene Expression Data
A. Schönhuth, I.G. Costa, Alexander Schliep
Cooperation in Classification and Data Analysis: Proceedings of Two German-Japanese Workshops, 151--159, Springer, Paper i proceeding 2009
Paper i proceeding

Constrained mixture estimation for analysis and robust classification of clinical time series.
Ivan G Costa, Alexander Schönhuth, Christoph Hafemeister, Alexander Schliep
Bioinformatics (Oxford, England), Artikel i vetenskaplig tidskrift 2009
Artikel i vetenskaplig tidskrift

Partially-supervised protein subclass discovery with simultaneous annotation of functional residues.
Benjamin Georgi, Jörg Schultz, Alexander Schliep
BMC structural biology, Artikel i vetenskaplig tidskrift 2009
Artikel i vetenskaplig tidskrift

2008

Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
B. Georgi, M.A. Spence, P. Flodman, Alexander Schliep
Data Analysis, Machine Learning and Applications, Springer, Paper i proceeding 2008
Paper i proceeding

Comparative study on normalization procedures for cluster analysis of gene expression datasets
Marcilio C P De Souto, Daniel S A De Araujo, Ivan G. Costa, Rodrigo G F Soares, Teresa B. Ludermir et al.
Proceedings of the International Joint Conference on Neural Networks, Paper i proceeding 2008
Paper i proceeding

Ranking and selecting clustering algorithms using a meta-learning approach
Marcilio C P De Souto, Ricardo B C Prudêncio, Rodrigo G F Soares, Daniel S A De Araujo, Ivan G. Costa et al.
Proceedings of the International Joint Conference on Neural Networks, Paper i proceeding 2008
Paper i proceeding

Clustering cancer gene expression data: a comparative study.
Marcilio C P de Souto, Ivan G Costa, Daniel S A de Araujo, Teresa B Ludermir, Alexander Schliep
BMC bioinformatics, Artikel i vetenskaplig tidskrift 2008
Artikel i vetenskaplig tidskrift

New, improved, and practical k-stem sequence similarity measures for probe design.
Anthony J Macula, Alexander Schliep, Morgan A Bishop, Thomas E Renz
Journal of computational biology : a journal of computational molecular cell biology, Artikel i vetenskaplig tidskrift 2008
Artikel i vetenskaplig tidskrift

Inferring differentiation pathways from gene expression.
Ivan G Costa, Stefan Roepcke, Christoph Hafemeister, Alexander Schliep
Bioinformatics (Oxford, England), Artikel i vetenskaplig tidskrift 2008
Artikel i vetenskaplig tidskrift

Visar 31 - 40 av 68

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