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05/11/2023
ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network
Watermarking is one of the most important copyright protection tools for...
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09/19/2022
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection
Many challenging real-world problems require the deployment of ensembles...
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05/25/2022
jTrans: Jump-Aware Transformer for Binary Code Similarity
Binary code similarity detection (BCSD) has important applications in va...
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11/04/2021
Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution
Cloud-based machine learning services (CMLS) enable organizations to tak...
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01/11/2021
Anomaly Detection for Aggregated Data Using Multi-Graph Autoencoder
In data systems, activities or events are continuously collected in the ...
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07/17/2020
Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes
Multi-objective task scheduling (MOTS) is the task scheduling while opti...
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06/09/2020
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction
Improving the robustness of neural nets in regression tasks is key to th...
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03/06/2020
Automatic Machine Learning Derived from Scholarly Big Data
One of the challenging aspects of applying machine learning is the need ...
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10/31/2019
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines
The explosion of digital data has created multiple opportunities for org...
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10/31/2019
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering
Automatic machine learning (AutoML) is an area of research aimed at auto...
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08/12/2019
Assessing the Quality of Scientific Papers
A multitude of factors are responsible for the overall quality of scient...
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05/25/2019
ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning
Malware detection is an ever-present challenge for all organizational ga...
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05/05/2019
New Item Consumption Prediction Using Deep Learning
Recommendation systems have become ubiquitous in today's online world an...
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10/11/2018
MDGAN: Boosting Anomaly Detection Using Multi-Discriminator Generative Adversarial Networks
Anomaly detection is often considered a challenging field of machine lea...
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01/06/2016
Wikiometrics: A Wikipedia Based Ranking System
We present a new concept - Wikiometrics - the derivation of metrics and ...
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12/05/2012