Found 3507 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Machine learning predicts immunoglobulin light chain toxicity through somatic mutations

LICTOR achieves specificity and sensitivity of 0.82 and 0.76, respectively, with an AUC of 0.87, making it a valuable tool for early AL diagnosis. Expand abstract.
28 hours ago
8/10 relevant
bioRxiv

Response Transformation and Profit Decomposition for Revenue Uplift Modeling

Applying the decomposition to a digital coupon targeting campaign, the paper provides evidence that revenue uplift modeling, as well as causal machine learning, can improve cam-paign profit substantially. Expand abstract.
1 day ago
7/10 relevant
arXiv

Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring -- The Winning Solution of the 2017 International Aftershock Detection Contest

Identifying the arrival times of seismic P-phases plays a significant role in real-time seismic monitoring, which provides critical guidance for emergency response activities. Expand abstract.
1 day ago
10/10 relevant
arXiv

A machine learning strategy that leverages large datasets to boost statistical power in small-scale experiments

Machine learning methods have proven invaluable for increasing the sensitivity of peptide detection in proteomics experiments. Expand abstract.
2 days ago
10/10 relevant
bioRxiv

Autonomous Discovery of Battery Electrolytes with Robotic Experimentation and Machine-Learning

This result demonstrates the possibility of integrating robotics with machine-learning to rapidly and autonomously discover novel battery materials. Expand abstract.
3 days ago
10/10 relevant
chemRxiv

Forbidden knowledge in machine learning -- Reflections on the limits of research and publication

It proposes review parameters for the machine learning community to establish an ethical framework on how to deal with forbidden knowledge and dual-use applications. Expand abstract.
3 days ago
10/10 relevant
arXiv

Nanomaterials Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge

We use these tools and information to identify trends in nanomaterials synthesis, such as the correlation of certain reagents with various nanomaterial morphologies, which is useful in guiding hypotheses and reducing the potential parameter space during experimental design. Expand abstract.
3 days ago
7/10 relevant
chemRxiv

Benchmarking time series classification -- Functional data vs machine learning approaches

We study methods from functional data analysis, such as functional generalized additive models, as well as functionality to concatenate (functional-) feature extraction or basis representations with traditional machine learning algorithms like support vector machines or classification trees. Expand abstract.
4 days ago
10/10 relevant
arXiv

"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning

Our work has significant implications for future research regarding mechanisms of institutional accountability and considerations for designing machine learning systems. Expand abstract.
4 days ago
7/10 relevant
arXiv

Deep Detector Health Management under Adversarial Campaigns

Machine learning models are vulnerable to adversarial inputs that induce seemingly unjustifiable errors. Expand abstract.
4 days ago
4/10 relevant
arXiv