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Found 8 papers, 1 papers with code
IPEval: A Bilingual Intellectual Property Agency Consultation Evaluation Benchmark for Large Language Models
The rapid development of Large Language Models (LLMs) in vertical domains, including intellectual property (IP), lacks a specific evaluation benchmark for assessing their understanding, application, and reasoning abilities.
1st Place Solution to ICDAR 2021 RRC-ICTEXT End-to-end Text Spotting and Aesthetic Assessment on Integrated Circuit
For the text spotting task, we detect the characters on integrated circuit and classify them based on yolov5 detection model.
Deep Time Series Models for Scarce Data
Time series data have grown at an explosive rate in numerous domains and have stimulated a surge of time series modeling research.
A Non-linear Function-on-Function Model for Regression with Time Series Data
Specifically, we aim to learn mathematical mappings from multiple chronologically measured numerical variables within a certain time interval S to multiple numerical variables of interest over time interval T. Prior arts, including the multivariate regression model, the Seq2Seq model, and the functional linear models, suffer from several limitations.
Spatio-Temporal Functional Neural Networks
Explosive growth in spatio-temporal data and its wide range of applications have attracted increasing interests of researchers in the statistical and machine learning fields.
Health Indicator Forecasting for Improving Remaining Useful Life Estimation
In these approaches, health indicator forecasting that constructs the health indicator curve over the lifespan using partially observed measurements (i. e., health indicator values within an initial period) plays a key role.
Regularized Operating Envelope with Interpretability and Implementability Constraints
However, a bigger challenge with these approaches is that they don't take into account two key features that are needed to operationalize operating envelopes: (i) interpretability of the envelope by the operator and (ii) implementability of the envelope from a practical standpoint.
Remaining Useful Life Estimation Using Functional Data Analysis
In this work, we propose a novel Functional Data Analysis (FDA) method called functional Multilayer Perceptron (functional MLP) for RUL estimation.
