Search Results for author:
Found 11 papers, 1 papers with code
Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach
Our study looks at new qualities of ads that can be determined before an ad is shown (rather than online optimization) and defines which ads are most likely to be successful.
It Runs in the Family: Searching for Synonyms Using Digitized Family Trees
As a result, there is a need for an effective tool for improved synonym suggestion.
A Supervised Machine Learning Model For Imputing Missing Boarding Stops In Smart Card Data
Results are based on a case study in the city of Beer Sheva, Israel, consisting of one month of smart card data.
How Does That Sound? Multi-Language SpokenName2Vec Algorithm Using Speech Generation and Deep Learning
Searching for information about a specific person is an online activity frequently performed by many users.
Automatic Large Scale Detection of Red Palm Weevil Infestation using Aerial and Street View Images
The spread of the Red Palm Weevil has dramatically affected date growers, homeowners and governments, forcing them to deal with a constant threat to their palm trees.
CompanyName2Vec: Company Entity Matching Based on Job Ads
Entity Matching is an essential part of all real-world systems that take in structured and unstructured data coming from different sources.
Co-Membership-based Generic Anomalous Communities Detection
In this study, we introduce the Co-Membership-based Generic Anomalous Communities Detection Algorithm (referred as to CMMAC), a novel and generic method that utilizes the information of vertices co-membership in multiple communities.
Malicious Source Code Detection Using Transformer
Those attacks are categorized as supply chain attacks.
Interruptions detection in video conferences
Here, we present a novel algorithm for detecting abnormal events in VC data.
Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph
These lateness values are then utilized as edge weights in the transportation graph, enabling efficient path searching.
Analyzing Key Users' behavior trends in Volunteer-Based Networks
Using our algorithm, we identified four main types of key user behavior patterns that occur over time.
