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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

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

Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks
John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson et al.
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, CEUR, Paper i proceeding 2018
Paper i proceeding

Visar 1 - 10 av 67

2019

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)

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, 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

Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks
John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson et al.
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, CEUR, Paper i proceeding 2018
Paper i proceeding

Visar 1 - 10 av 67

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