Machine learning-aided generative molecular design Data-driven generative methods have the potential to greatly facilitate molecular design tasks for drug design. Yuanqi Du Arian R. Jamasb Tom L. Blundell Review Article18 Jun 2024 The benefits, risks and bounds of personalizing the alignment of larg...
Visual interpretability of bioimaging deep learning models The success of deep learning in analyzing bioimages comes at the expense of biologically meaningful interpretations. We review the state of the art of explainable artificial intelligence (XAI) in bioimaging and discuss its potential in hypothesis...
An apparatus and method are provided for review-based machine learning. Included are a non-transitory memory storing instructions and one or more processors in communication with the non-transitory memory. The one or more processors execute the instructions to receive first data, generate a plurality...
IBM Watson Machine Learning software enables businesses to use their data to build, train, and deploy machine learning models. Overview IBM Watson Mac...
This document attempts to develop a curated list of Machine Learning resources, including books, papers, software, libraries, notebooks, etc. Most of the libraries are for Python though the rest of the materials here are generally suited for working with data. ...
List of TOP 40 Machine Learning and AI Services in New Jersey 2024. Discover the most skilled marketing agencies from our community to outsource your marketing to.
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To make sense of the exploding diversity of machine learning approaches, we introduce a unifying framework that classifies models on the basis of their use of three core data modalities: sequences, structures and functional labels. We discuss the new capabilities and outstanding challenges for the ...
Gaidhani AR, Potgantwar AD. A Review of Machine Learning-Based Routing Protocols for Wireless Sensor Network Lifetime.Engineering Proceedings. 2023; 59(1):231. https://doi.org/10.3390/engproc2023059231 Chicago/Turabian Style Gaidhani, Abhay R., and Amol D. Potgantwar. 2023. "A Review of...