In the software engineering community, deep learning (DL) has recently been applied to many source code processing tasks. Due to the poor interpretability of DL models, their security vulnerabilities require scrutiny. Recently, researchers have ident...
This document explains the annotation schemes used to label the data for the FinCausal Shared Task (Mariko et al., 2020). This task is associated to the Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2...
In this paper, we give an overview of the semantic gap problem in multimedia and discuss how machine learning and symbolic AI can be combined to narrow this gap. We describe the gap in terms of a classical architecture for multimedia processing and d...
is necessary for compliance with a legal obligation. when processing is necessary in order to protect the vital interests of the data subject. processing
Recent advances in graph processing on FPGAs promise to alleviate performance bottlenecks with irregular memory access patterns. Such bottlenecks challenge performance for a growing number of important application areas like machine learning and data...
Recent advances in reprogrammable hardware (e.g., FPGAs) and memory technology (e.g., DDR4, HBM) promise to solve performance problems inherent to graph processing like irregular memory access patterns on traditional hardware (e.g., CPU). While sever...
The proposed research aims to develop an innovative semantic query processing system that enables users to obtain comprehensive information about research works produced by Computer Science (CS) researchers at the Australian National University (ANU)...
Building Language Applications with Hugging Face. book by Lewis Tunstall, Leandro von Werra, and Thomas Wolf (⭐ 70)
Voice-based AI development faces unique challenges in processing both linguistic and paralinguistic information. This study compares how large audio-language models (LALMs) and humans integrate speaker characteristics during speech comprehension, ask...
This thesis is divided into two parts:Part I: Analysis of Fruits, Vegetables, Cheese and Fish based on Image Processing using Computer Vision and Deep Learning: A Review. It consists of a comprehensive review of image processing, computer vision and...
Stream Processing and Complex Event Processing Engine (⭐ 1578)
LiYing is an automated photo processing program designed for automating the post-processing workflow of ID photos in general photo studios. | LiYing 是一套适用于自动化 完成一般照相馆后期证件照处理流程的照片自动处理的程序。 (⭐ 3140)
Developing documentation guidelines and easy-to-use templates for datasets and models is a challenging task, especially given the variety of backgrounds, skills, and incentives of the people involved in the building of natural language processing (NL...
This is a azure data engineering project that involves moving telemetry data from a third-party AWS cloud to General Motors' Azure cloud, validating the JSON format, and storing it in an Azure SQL database. The project uses Azure Data Factory and Azure Functio…
We propose an quantum image processing platform covering various verticals such as weather forecasting. They all can be modeled using recurrent neural networks due to their temporal interactions. In our detailed business proposal we describe the weather foreca…
Based on numerical simulation of Hodgkin and Huxley type neuron stimulated from many synaptic inputs, an abstract concept of signal processing in individual neuron is proposed. In the concept proposed, neuron performs binding of synaptic inputs int...
This research seeks to benefit the software engineering society by providing a simple yet effective pre-processing approach to achieve equalized odds fairness in machine learning software. Fairness issues have attracted increasing attention since mac...
Tags: ruby-on-rails, rabbitmq, sneakers | Score: 2
In-situ processing has been proposed as a novel data exploration solution in many domains generating massive amounts of raw data, e.g., astronomy, since it provides immediate SQL querying over raw files. The performance of in-situ processing across a...
An integral image is one of the most efficient optimization technique for image processing. However an integral image is only a special case of delayed stream or memoization. This research discusses generalizing concept of integral image optimization...