Results 181 to 190 of about 1,080,302 (365)

3D In Vitro Models of Breast Cancer: Current Challenges and Future Prospects Toward Recapitulating the Microenvironment and Mimicking Key Processes

Advanced Biology, EarlyView.
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins, Ah Joung Yu, Cheryl T. Gomillion   +2 more
wiley   +1 more source

List-wise learning to rank biomedical question-answer pairs with deep ranking recursive autoencoders. [PDF]

PLoS One, 2020
Yan Y, Zhang BW, Li XF, Liu Z.
europepmc   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank. [PDF]

IEEE J Biomed Health Inform, 2020
Li Y, Wei D, Chen J, Cao S, Zhou H, Zhu Y, Wu J, Lan L, Sun W, Qian T, Ma K, Xu H, Zheng Y.   +12 more
europepmc   +1 more source

A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization [PDF]

, 2016
William Yang Wang, Yashar Mehdad, Dragomir Radev, Amanda Stent   +3 more
openalex   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Position Bias Estimation for Unbiased Learning to Rank in Personal Search

Web Search and Data Mining, 2018
Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork   +4 more
semanticscholar   +1 more source

Robust hashing for multi-view data: Jointly learning low-rank kernelized similarity consensus and hash functions [PDF]

, 2016
Lin Wu, Yang Wang
openalex   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Learning to Rank Answers to Non-Factoid Questions from Web Collections

Computational Linguistics, 2021
Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza   +2 more
doaj   +1 more source