Andreas Peintner
  • Bio
  • Papers
  • Experience
  • Publications
    • Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network
    • Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation
    • Unternehmensleitung in der Aktiengesellschaft und Künstliche Intelligenz
    • Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers
    • Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags
    • Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search
    • SPARE - Shortest Path Global Item Relations for Efficient Session-based Recommendation
    • Sequential Recommendation Models - A Graph-based Perspective
    • Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
    • Advances in and the Applicability of Machine Learning-Based Screening and Early Detection Approaches for Cancer: A Primer
    • Recognizing Song Mood and Theme: Clustering-based Ensembles
    • Automated spheroid generation, drug application and efficacy screening using a deep learning classification: a feasibility study
  • Projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience

Automated spheroid generation, drug application and efficacy screening using a deep learning classification: a feasibility study

Feb 20, 2020·
Leo Benning
Andreas Peintner
Andreas Peintner
,
Günter Finkenzeller
,
Lukas Peintner
· 0 min read
PDF Cite Link
Type
1
Publication
Scientific Reports
Last updated on Feb 20, 2020
Andreas Peintner
Authors
Andreas Peintner
AI Engineer / PhD Candidate
← Recognizing Song Mood and Theme: Clustering-based Ensembles Feb 20, 2021

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