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Multi-relational matrix factorization using bayesian personalized ranking for social network data
TLDR
This work proposes a formalization of the cold-start problem and a principled approach to it based on multi-relational factorization techniques, and derives a principled feature extraction scheme from the social data to extract predictors for a classifier on the target relation.
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Recommender system for predicting student performance
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Dopamine gene predicts the brain's response to dopaminergic drug
TLDR
Functional MRI was used to test the hypothesis that genetic variation in the expression of dopamine D2 receptors in the human brain predicts opposing dopaminergic drug effects during reversal learning, and found individual variability in how dopamine drugs affect the brain reflects genetic disposition.
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Factorization Techniques for Predicting Student Performance
Recommender systems are widely used in many areas, especially in ecommerce. Recently, they are also applied in e-learning for recommending learning objects (e.g. papers) to students. This chapter…
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Monitoring multiple myeloma by next-generation sequencing of V(D)J rearrangements from circulating myeloma cells and cell-free myeloma DNA
TLDR
A pilot study in 27 myeloma patients to explore the clonotypic V(D)J rearrangement for monitoring circulatingMyeloma cells and cell-free myelomas DNA indicates that cell- Free Myeloma DNA may not be generated entirely by circulating myelomatic cells and may reflect overall tumor burden.
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Multi-Stage Reinforcement Learning For Object Detection
TLDR
This work performs a step-wise deformation of a bounding box with the goal of tightly framing the object, and proposes different reward functions to lead to a better guidance of the agent while following its search trajectories.
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T‐cell diversification reflects antigen selection in the blood of patients on immune checkpoint inhibition and may be exploited as liquid biopsy biomarker
TLDR
The data show for the first time a clear impact of PD‐1 targeting not only on circulating T‐cells, but also on B‐lineage cells, shedding light on the complexity of the anti‐tumor immune response.
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Deformation styles for spline-based skeletal animation
TLDR
A novel skinned skeletal animation system based on spline-aligned deformations for providing high quality and fully designable deformations in real-time, and can easily be combined along with other existing deformation techniques as pose space deformation or SSD.
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AutoCompete: A Framework for Machine Learning Competition
TLDR
This paper proposes AutoCompete, a highly automated machine learning framework for tackling machine learning competitions that aims at minimizing human interference required to build a first useful predictive model and to assess the practical difficulty of a given machine learning challenge.
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Active Learning for Technology Enhanced Learning
TLDR
It is consistently found that uncertainty sampling significantly outperforms several alternative exercise selection approaches and thus leads to a faster convergence to the true assessment and demonstrates that active (machine) learning is consistent with classic learning theory.
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