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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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01/05/2023
Silent Killer: Optimizing Backdoor Trigger Yields a Stealthy and Powerful Data Poisoning Attack
We propose a stealthy and powerful backdoor attack on neural networks ba...
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12/29/2022
Cross Version Defect Prediction with Class Dependency Embeddings
Software Defect Prediction aims at predicting which software modules are...
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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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06/19/2022
A Universal Adversarial Policy for Text Classifiers
Discovering the existence of universal adversarial perturbations had lar...
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03/16/2022
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data
This paper presents Deepchecks, a Python library for comprehensively val...
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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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02/10/2021
Enhancing Real-World Adversarial Patches with 3D Modeling Techniques
Although many studies have examined adversarial examples in the real wor...
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11/16/2020
Automatic selection of clustering algorithms using supervised graph embedding
The widespread adoption of machine learning (ML) techniques and the exte...
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10/25/2020
Approximating Aggregated SQL Queries With LSTM Networks
Despite continuous investments in data technologies, the latency of quer...
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09/15/2020
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet
One of the challenges in the NLP field is training large classification ...
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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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07/05/2020
Adversarial Learning in the Cyber Security Domain
In recent years, machine learning algorithms, and more specially, deep l...
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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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02/23/2020
PrivGen: Preserving Privacy of Sequences Through Data Generation
Sequential data is everywhere, and it can serve as a basis for research ...
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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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10/31/2019
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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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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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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03/21/2019
Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification
Image understanding relies heavily on accurate multi-label classificatio...
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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
Explaining Anomalies Detected by Autoencoders Using SHAP
Anomaly detection algorithms are often thought to be limited because the...
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01/28/2019
Defense Methods Against Adversarial Examples for Recurrent Neural Networks
Adversarial examples are known to mislead deep learning models to incorr...
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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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04/23/2018
Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
In this paper, we present a black-box attack against API call based mach...
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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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07/19/2017
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
In this paper, we present a black-box attack against API call based mach...
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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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01/06/2016
Wikiometrics: A Wikipedia Based Ranking System
We present a new concept - Wikiometrics - the derivation of metrics and ...
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07/06/2013
Ensemble Methods for Multi-label Classification
Ensemble methods have been shown to be an effective tool for solving mul...
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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
