Results 71 to 80 of about 244,685 (311)

Interpretable but not interpreted

Proceedings of the Amsterdam Colloquium, 2007
This paper takes the position that the interpretive procedure may selectively ignore pieces of an LF that on other occasions it associates with an interpretation. I cite arguments (from earlier work) that pronouns in particular can go uninterpreted.
openaire   +1 more source

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

FEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure, Misaki K. Nishio, Satoru Okuda, Kohji Hotta   +3 more
wiley   +1 more source

Approach for Microseismic Monitoring Data-Driven Rockburst Short-Term Prediction Using Deep Feature Extraction and Interpretable Coupling Neural Networks

Applied Sciences
Rockburst disasters have become increasingly prevalent as distinct forms of subsurface geotechnical engineering advanced to the deep earth. Confronted with such a threatening subsurface geopressure disaster that poses a risk to personnel and equipment ...
Shirui Wang, Lianku Xie, Yimeng Song, Peng Liu, Yuan Gao, Guang Zhang, Yang Yuan, Shukai Jin, Zhongyu Wang   +8 more
doaj   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Structural Modelling with Sparse Kernels

, 2002
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret.
Kandola, J.S., Gunn, S.R.
core   +1 more source

Being confident in confidence scores: calibration in deep learning models for camera trap image sequences

Remote Sensing in Ecology and Conservation
In ecological studies, machine learning models are increasingly being used for the automatic processing of camera trap images. Although this automation facilitates and accelerates the identification step, the results of these models may lack ...
Gaspard Dussert, Simon Chamaillé‐Jammes, Stéphane Dray, Vincent Miele   +3 more
doaj   +1 more source

CDPNet: a deformable ProtoPNet for interpretable wheat leaf disease identification

Frontiers in Plant Science
IntroductionAccurate identification of wheat leaf diseases is crucial for food security, but existing prototype-based computer vision models struggle with the scattered nature of lesions in field conditions and lack interpretability.
Jinyu Zeng, Bingjing Jia, Chenguang Song, Hua Ge, Lei Shi, Bo Kang   +5 more
doaj   +1 more source

Towards robust interpretability with self-explaining neural networks

, 2019
© 2018 Curran Associates Inc.All rights reserved. Most recent work on interpretability of complex machine learning models has focused on estimating a posteriori explanations for previously trained models around specific predictions.
Alvarez Melis, David, Jaakkola, Tommi
core  

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis

IEEE Access
The rise of decentralized energy sources and renewables demands advanced grid planning, with short-term load forecasting (STLF) playing a crucial role.
Ava Mohammadi, Gonzalo Napoles, Yamisleydi Salgueiro   +2 more
doaj   +1 more source