Alexander Schliep

Senior Lecturer at Data Science and AI
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Showing 11 publications

2024

Evolution shapes and conserves genomic signatures in viruses

Martin Holmudden, Joel Gustafsson, Yann Bertrand et al
Communications Biology. Vol. 7 (1)
Journal article
2023

De novo generated combinatorial library design

Simon Johansson, Morteza Haghir Chehreghani, Ola Engkvist et al
Digital Discovery. Vol. 3 (1), p. 122-135
Journal article
2023

Compressed computations using wavelets for hidden Markov models with continuous observations

Luca Bello, John Wiedenhöft, Alexander Schliep
PLoS ONE. Vol. 18 (6 June)
Journal article
2022

Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction

Simon Johansson, Hampus Gummesson Svensson, Esben Jannik Bjerrum et al
Molecular Informatics. Vol. 41 (12)
Journal article
2021

Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM

Shirin Tavara, Alexander Schliep
PeerJ Computer Science. Vol. 7
Journal article
2021

Reinforcement Learning as an Alternative to Reachability Analysis for Falsification of AD Functions

Tobias Johansson, Angel Molina Acosta, Alexander Schliep et al
Other conference contribution
2021

Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer’s disease

Hákon Valur Dansson, Lena Stempfle, Hildur Egilsdóttir et al
Alzheimers Research and Therapy. Vol. 13 (1)
Journal article
2021

Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM

Shirin Tavara, Alexander Schliep, Debabrota Basu
Communications in Computer and Information Science. Vol. 1525 CCIS, p. 459-467
Paper in proceeding
2019

Bayesian optimization in ab initio nuclear physics

Andreas Ekström, Christian Forssen, Christos Dimitrakakis et al
Journal of Physics G: Nuclear and Particle Physics. Vol. 46 (9)
Journal article
2019

Bayesian localization of CNV candidates in WGS data within minutes

John Wiedenhoeft, Alex Cagan, Rimma Kozhemyakina et al
Algorithms for Molecular Biology. Vol. 14 (1)
Journal article
2018

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). Vol. 10706 LNCS, p. 525-538
Paper in proceeding

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Showing 1 research projects

2019–2019

Pre-study: Deep Learning for Deep Water

Ida-Maja Hassellöv Maritime Environmental Sciences
Alexander Schliep Data Science
Amanda Nylund Maritime Environmental Sciences
Debabrota Basu Data Science
Chalmers

2 publications exist
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