Results 101 to 110 of about 66,762 (195)

Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization

Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.Generative adversarial networks (GANs) learn a latent space whose samples can be mapped to real-world images. Such latent spaces are difficult to interpret.
Bäckström, Tom, Vali, Mohammad Hassan
core  

A detailed analysis of phrase-based and syntax-based machine translation: the search for systematic differences [PDF]

, 2012
This paper describes a range of automatic and manual comparisons of phrase-based and syntax-based statistical machine translation methods applied to English-German and English-French translation of user-generated content.
Kaljahi, Rasoul Samed Zadeh, Rubino, Raphael, Foster, Jennifer, Roturier, Johann   +3 more
core  

Scalable learning of interpretable machine learning models

embargoed_20260926Questa tesi affronta il tema dell’interpretabilità nei modelli Machine Learning, un aspetto cruciale per garantire trasparenza e fiducia nei sistemi intelligenti.
TRENTIN, SIRIO
core  

Data-driven model reconstruction for nonlinear wave dynamics

Physical Review Research
The use of machine learning to predict wave dynamics is a topic of growing interest, but commonly used deep-learning approaches suffer from a lack of interpretability of the trained models. Here, we present an interpretable machine learning framework for
Ekaterina Smolina, Lev Smirnov, Daniel Leykam, Franco Nori, Daria Smirnova   +4 more
doaj   +1 more source

Introduction to the Minitrack on Interpretable Machine Learning

Proceedings of the Annual Hawaii International Conference on System Sciences, 2023
Abdulrashid, Ismail, Topuz, Kazim, Bajaj, Akhilesh   +2 more
openaire   +3 more sources

Interpretable modelling with sparse kernels

, 2001
A drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is difficult to interpret.
Kandola, J.S.
core  

Interpretable Machine Learning Analysis of Inflammatory Biomarkers for Predicting Arteriovenous Fistula Stenosis in Hemodialysis Patients: A Retrospective Cohort Study

International Journal of General Medicine
Xia Wang,* Peng Shu,* Zhuping Wen, Qian Xie, Fang Xu Department of Nephrology, The Central Hospital of Wuhan, Wuhan, Hubei,People’s Republic of China*These authors contributed equally to this workCorrespondence: Fang Xu, Email ...
Wang X, Shu P, Wen Z, Xie Q, Xu F
doaj  

Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischemic Stroke

Xiaolong Hu,1,2,* Dayong Qi,2,* Suya Li,2 Shifei Ye,2 Yue Chen,2 Wei Cao,2 Meng Du,2 Tianheng Zheng,2 Peng Li,2 Yibin Fang1– 3 1Tongji University School of Medicine, Tongji University Affiliated Shanghai 4th People’s Hospital, Shanghai ...
Fang Y, Li S, Cao W, Ye S, Hu X, Li P, Qi D, Chen Y, Du M, Zheng T   +9 more
core  

Interpretable machine learning for thermoelectric materials design with Kolmogorov-Arnold networks. [PDF]

Sci Rep
Fronzi M, Ford MJ, Nayal KS, Isayev O, Stampfl C.   +4 more
europepmc   +1 more source

Interpretable machine learning for river salinity dynamics in arid basins. [PDF]

Sci Rep
Amini H, Shakeri R, Ghaderi N, Fakheri F, Morovati K, Zahraie B, Ahmadian R.   +6 more
europepmc   +1 more source