Found 3689 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

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.
22 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.
23 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.
23 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.
24 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.
24 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.
24 days ago
4/10 relevant
arXiv

A hybrid model for predicting pattern recognition receptors using evolutionary information

Our best model, which combined BLAST and PSSM based model, achieved a maximum MCC value of 0.82 with an AUROC value of 0.95, utilizing the potential of both similarity-based search and machine learning techniques. Expand abstract.
24 days ago
6/10 relevant
bioRxiv

FastFeatGen: Faster parallel feature extraction from genome sequences and efficient prediction of DNA N6-methyladenine sites

Then we have employed an exploratory feature selection technique which helps to find more relevant features that can be fed to machine learning methods. Expand abstract.
24 days ago
5/10 relevant
bioRxiv

Designing Strategic Games With Preestablished Nash Equilibrium Through Artificial Inference and Global Learning

In summary, it is a genuine instance of artificial inference of payoff functions after a process of global machine learning, applied to their numerical components. Expand abstract.
25 days ago
4/10 relevant
Preprints.org

Strategy Synthesis for Surveillance-Evasion Games with Learning-Enabled Visibility Optimization

Our method combines guarantees of correctness from formal methods with the scalability of machine learning to provide an efficient approach for surveillance-constrained visibility optimization. Expand abstract.
25 days ago
4/10 relevant
arXiv