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08/09/2023
Data-Driven Intelligence can Revolutionize Today's Cybersecurity World: A Position Paper
As cyber threats evolve and grow progressively more sophisticated, cyber...
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08/13/2021
A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets
This paper formulates the problem of dynamically identifying key topics ...
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04/17/2021
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
Although research on emotion classification has significantly progressed...
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03/28/2021
CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks
Detecting cyber-anomalies and attacks are becoming a rising concern thes...
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12/09/2020
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies
Cybersecurity has recently gained considerable interest in today's secur...
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11/19/2020
SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews
The amount of textual data generation has increased enormously due to th...
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08/03/2020
A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic
Artificial intelligence (AI) and machine learning (ML) have made a parad...
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03/16/2020
A Rule Based Expert System to Assess Coronary Artery Disease under Uncertainty
The coronary artery disease (CAD) involves narrowing and damaging the ma...
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03/11/2020
Crime Prediction Using Spatio-Temporal Data
A crime is a punishable offence that is harmful for an individual and hi...
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09/02/2019
CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data
The electronic calendar is a valuable resource nowadays for managing our...
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08/26/2019
AppsPred: Predicting Context-Aware Smartphone Apps using Random Forest Learning
Due to the popularity of context-awareness in the Internet of Things (Io...
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08/25/2019
E-MIIM: An Ensemble Learning based Context-Aware Mobile Telephony Model for Intelligent Interruption Management
Nowadays, mobile telephony interruptions in our daily life activities ar...
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02/11/2019
A Machine Learning based Robust Prediction Model for Real-life Mobile Phone Data
Real-life mobile phone data may contain noisy instances, which is a fund...
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11/15/2018
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior
Mobile phones can record individual's daily behavioral data as a time-se...
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10/30/2018
Research Issues in Mining User Behavioral Rules for Context-Aware Intelligent Mobile Applications
Context-awareness in smart mobile applications is a growing area of stud...
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10/15/2018
Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications
Due to the popularity of smart mobile phones and context-aware technolog...
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10/15/2018
SilentPhone: Inferring User Unavailability based Opportune Moments to Minimize Call Interruptions
The increasing popularity of cell phones has made them the most personal...
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10/15/2018
Understanding the Role of Data-Centric Social Context in Personalized Mobile Applications
Context-awareness in personalized mobile applications is a growing area ...
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03/19/2018
Mining User Behavioral Rules from Smartphone Data through Association Analysis
The increasing popularity of smart mobile phones and their powerful sens...
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11/18/2017
Identifying Recent Behavioral Data Length in Mobile Phone Log
Mobile phone log data (e.g., phone call log) is not static as it is prog...
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10/12/2017