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02/07/2023
AMFPMC – An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions
Adverse drug interactions are largely preventable causes of medical acci...
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07/16/2022
Transfer learning for time series classification using synthetic data generation
In this paper, we propose an innovative Transfer learning for Time serie...
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10/29/2021
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
Anomaly detection is a well-known task that involves the identification ...
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07/30/2020
Evolving Context-Aware Recommender Systems With Users in Mind
A context-aware recommender system (CARS) applies sensing and analysis o...
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07/28/2020
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
Testing is an important part of tackling the COVID-19 pandemic. Availabi...
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07/26/2020
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate
The click-through rate (CTR) reflects the ratio of clicks on a specific ...
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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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02/23/2020
Sequence Preserving Network Traffic Generation
We present the Network Traffic Generator (NTG), a framework for perturbi...
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10/23/2019
Diversifying Database Activity Monitoring with Bandits
Database activity monitoring (DAM) systems are commonly used by organiza...
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09/09/2019
Deep Context-Aware Recommender System Utilizing Sequential Latent Context
Context-aware recommender systems (CARSs) apply sensing and analysis of ...
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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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08/02/2019
Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection
This paper presents a method for continuous indoor-outdoor environment d...
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07/28/2019
A difficulty ranking approach to personalization in E-learning
The prevalence of e-learning systems and on-line courses has made educat...
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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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03/13/2019
Online Budgeted Learning for Classifier Induction
In real-world machine learning applications, there is a cost associated ...
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03/13/2019
Personal Dynamic Cost-Aware Sensing for Latent Context Detection
In the past decade, the usage of mobile devices has gone far beyond simp...
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03/11/2019
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures
Drug-drug interactions are preventable causes of medical injuries and of...
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03/06/2019
Attack Graph Obfuscation
Before executing an attack, adversaries usually explore the victim's net...
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03/06/2019
Explaining Anomalies Detected by Autoencoders Using SHAP
Anomaly detection algorithms are often thought to be limited because the...
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01/26/2019
Implicit Dimension Identification in User-Generated Text with LSTM Networks
In the process of online storytelling, individual users create and consu...
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01/08/2019
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems
Scientific writing is difficult. It is even harder for those for whom En...
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12/28/2018
Wikibook-Bot - Automatic Generation of a Wikipedia Book
A Wikipedia book (known as Wikibook) is a collection of Wikipedia articl...
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12/22/2017
Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017
The WSDM Cup 2017 Triple scoring challenge is aimed at calculating and a...
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10/12/2016
Language Models with Pre-Trained (GloVe) Word Embeddings
In this work we implement a training of a Language Model (LM), using Rec...
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12/05/2012
Using Wikipedia to Boost SVD Recommender Systems
Singular Value Decomposition (SVD) has been used successfully in recent ...
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11/13/2012
