skope-rules "a Python machine learning module built on top of scikit-learn and distributed under the 3-Clause BSD license.” solas-ai-disparity "a collection of tools that allows modelers, compliance, and business stakeholders to test outcomes for bias or discrimination using widely accepted fairne...
(2016). End to end learning for self-driving cars. CoRR, vol. abs/1604.07316. Boroujerdian, B., Genc, H., Krishnan, S., Cui, W., Faust, A., & Reddi, V. (2018). Mavbench: Micro aerial vehicle benchmarking. In 2018 51st annual IEEE/ACM international symposium on ...
importmlflowimportpandasaspd# Evaluation set contains (1) input question (2) model outputs (3) ground truthdf=pd.DataFrame( {"inputs": ["What is MLflow?","What is Spark?"],"outputs": ["MLflow is an innovative fully self-driving airship powered by AI.","Sparks is an American pop and...
Deep Reinforcement Learning (DRL) has shown its strength in developing intelligent systems for complex control tasks such as autonomous driving [37, 40]. Verifiable safety and robustness guarantees are crucial to these safety-critical DRL systems before deploying [23, 44]. A typical example is auto...
Eventually,the young driver is ready for a driving test,which is needed to obtain a regular driver's license. This test is supervised by a government official. In the driving test,the driver must show that he or she can control the car with great skill by being able to make turns and ...
43. The abundance of sensory-related regions suggests cancer-specific impairment in GABAergic inhibition44, driving a hyperactivation phenotype via disinhibition. If and how these increases in neuronal activation in weight-stable cancer-bearing mice affect body weight maintenance will be of a high ...
The driving force of CNNs has emerged from the computer vision domain, where the large dataset of ImageNet18 (a library of labelled photographic images) and the interest by internet developers to identify objects automatically on photographic pictures led to the development of very efficient ML arc...
Under a Creative Commons license Open accessAbstract Federated learning (FL) allows a number of parties collectively train models without revealing private datasets. There is a possibility of extracting personal or confidential data from the shared models even-though sharing of raw data is prevented by...
For these reasons, highways are among the most common driving scenarios in which autonomous vehicles are starting to develop their autonomous capabilities. Highway scenarios are structured environments involving vehicles with relatively smooth movements, which contributes to minimize complexity. However, ...
Existing methods for fine-scale air quality assessment have significant gaps in their reliability. Purely data-driven methods lack any physically-based mechanisms to simulate the interactive process of air pollution, potentially leading to physically inc