Results 81 to 90 of about 3,188,697 (327)

Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification [PDF]

arXiv, 2023
Multi-modal fact verification has become an important but challenging issue on social media due to the mismatch between the text and images in the misinformation of news content, which has been addressed by considering cross-modalities to identify the veracity of the news in recent years.
arxiv  

Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling [PDF]

Interspeech, 2016
Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition. In this work, we propose an attention-based neural network model for joint intent detection and slot filling, both ...
Bing Liu, Ian Lane
semanticscholar   +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

Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys

Advanced Engineering Materials, EarlyView.
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco, Kehang Yu, Xin Wang, Crystal Murillo, Carlos Melchor, Calvin H. Belcher, Julie M. Schoenung, Enrique J. Lavernia, Stacy M. Copp   +8 more
wiley   +1 more source

Deep learning for extracting protein-protein interactions from biomedical literature

, 2017
State-of-the-art methods for protein-protein interaction (PPI) extraction are primarily feature-based or kernel-based by leveraging lexical and syntactic information.
Lu, Zhiyong, Peng, Yifan
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

A General Cyanine‐Based Platform for Designing Robust Dual‐Channel Near‐Infrared Fluorescent and Photoacoustic Probes

Advanced Functional Materials, EarlyView.
The study presents a general cyanine‐based platform CySN for designing robust dual‐channel near‐infrared fluorescent (NIRF) and photoacoustic (PA) probes with high ratiometric signals change. CySN enables the construction of highly sensitive and selective dual‐channel NIRF/PA probes for both small molecule and enzyme biomarkers (H2O2, esterase ...
Pingzhou Wu, Zheng Qu, Jie Zhang, Xiaojie Ren, Dongqing Wang, Chen Huang, Ke Cheng, Junyang Qi, Heng Shi, Shenglong Gan, Wenyu Wei, Yachao Zhang, Chun‐Sing Lee, Lidai Wang, Hongyan Sun   +14 more
wiley   +1 more source

Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care [PDF]

arXiv, 2023
Telehealth is a valuable tool for primary health care (PHC), where depression is a common condition. PHC is the first point of contact for most people with depression, but about 25% of diagnoses made by PHC physicians are inaccurate. Many other barriers also hinder depression detection and treatment in PHC.
arxiv  

Integrating a Non-Uniformly Sampled Software Retina with a Deep CNN Model [PDF]

, 2017
We present a biologically inspired method for pre-processing images applied to CNNs that reduces their memory requirements while increasing their invariance to scale and rotation changes.
Ozimek, Piotr, Siebert, J. Paul
core  

Design Challenges and Misconceptions in Named Entity Recognition

Conference on Computational Natural Language Learning, 2009
We analyze some of the fundamental design challenges and misconceptions that underlie the development of an efficient and robust NER system. In particular, we address issues such as the representation of text chunks, the inference approach needed to ...
Lev-Arie Ratinov, D. Roth
semanticscholar   +1 more source