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Alexander Schliep

Senior lecturer

Alexander Schliep
Senior lecturer
alexander.schliep@cse.gu.se
0766-086963

Visiting Address: Rännvägen 6b , 41258 Göteborg


Data Science (DS) at Department of Computer Science and Engineering (More Information)
412 96 Göteborg
0317721000
Visiting Address: Rännvägen 6B , 412 58 Göteborg

Latest publications

Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment
N. Judd, B. Sauce, J. Wiedenhoeft, J. Tromp, B. Chaarani et al.
Proceedings of the National Academy of Sciences of the United States of America, Journal article 2020
Journal article

The Global Museum: natural history collections and the future of evolutionary science and public education
F. T. Bakker, A. Antonelli, J. Clarke, J. A. Cook, Scott V Edwards et al.
PeerJ, Journal article 2020
Journal article

Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks
John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren
Journal of Healthcare Informatics Research, Journal article 2020
Journal article

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, Conference paper 2019
Conference paper

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, Journal article 2019
Journal article

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

Using clickers to predict students final courses grades, an artificial intelligence approach
Fionn Delahunty, Alexander Schliep
Extended Abstract of KUL-2019 presentation, Conference contribution 2019
Conference contribution

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, Conference paper 2018
Conference paper

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

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, Conference paper 2018
Conference paper

Showing 1 - 10 of 71

2020

Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment
N. Judd, B. Sauce, J. Wiedenhoeft, J. Tromp, B. Chaarani et al.
Proceedings of the National Academy of Sciences of the United States of America, Journal article 2020
Journal article

The Global Museum: natural history collections and the future of evolutionary science and public education
F. T. Bakker, A. Antonelli, J. Clarke, J. A. Cook, Scott V Edwards et al.
PeerJ, Journal article 2020
Journal article

Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks
John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren
Journal of Healthcare Informatics Research, Journal article 2020
Journal article

2019

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, Conference paper 2019
Conference paper

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, Journal article 2019
Journal article

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

Using clickers to predict students final courses grades, an artificial intelligence approach
Fionn Delahunty, Alexander Schliep
Extended Abstract of KUL-2019 presentation, Conference contribution 2019
Conference contribution

2018

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, Conference paper 2018
Conference paper

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

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, Conference paper 2018
Conference paper

Showing 1 - 10 of 71

Page Manager: Webmaster|Last update: 4/19/2017
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