An In-ad contents-based viewability prediction framework using Artificial Intelligence for Web Ads

Gene encoder: a feature selection technique through unsupervised deep learning-based clustering for large gene expression data

(2020) Uzma et al.   NEURAL COMPUTING & APPLICATIONS

A data science-based framework to categorize academic journals

(2019) Zahid Halim et al.   SCIENTOMETRICS

From keywords to relational database content: A semantic mapping method

(2019) Mariana Soller Ramada et al.   INFORMATION SYSTEMS

On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets

(2019) Zahid Halim et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Webpage Depth Viewability Prediction using Deep Sequential Neural Networks

(2018) Chong Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Sitcom-star-based clothing retrieval for video advertising: a deep learning framework

(2018) Haijun Zhang et al.   NEURAL COMPUTING & APPLICATIONS

Efficient feature selection and classification for microarray data

(2018) Zifa Li et al.   PLoS One

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

Object-Level Video Advertising: An Optimization Framework

(2017) Haijun Zhang et al.   IEEE Transactions on Industrial Informatics

Probabilistic Models for Ad Viewability Prediction on the Web

(2017) Chong Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Efficient clustering of large uncertain graphs using neighborhood information

(2017) Zahid Halim et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Principal Component Analysis of High-Frequency Data

(2017) Yacine Aït-Sahalia et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Prediction of advertisement preference by fusing EEG response and sentiment analysis

(2017) Himaanshu Gauba et al.   NEURAL NETWORKS

A Proposal for Local $k$ Values for $k$ -Nearest Neighbor Rule

(2017) Nicolas Garcia-Pedrajas et al.   IEEE Transactions on Neural Networks and Learning Systems

Profiling Players Using Real-World Datasets: Clustering the Data and Correlating the Results with the Big-Five Personality Traits

(2017) Zahid Halim et al.   IEEE Transactions on Affective Computing

Mining interesting user behavior patterns in mobile commerce environments

(2012) Bai-En Shie et al.   APPLIED INTELLIGENCE