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08/04/2023
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation
Accurately predicting hospital length-of-stay at the time a patient is a...
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06/13/2023
Few-shot learning for sentence pair classification and its applications in software engineering
Few-shot learning-the ability to train models with access to limited dat...
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05/16/2023
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs
This paper explores the use of text data augmentation techniques to enha...
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01/09/2023
Transfer learning for conflict and duplicate detection in software requirement pairs
Consistent and holistic expression of software requirements is important...
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01/05/2023
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting
Despite the high performance of neural network-based time series forecas...
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01/02/2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
Wind power forecasting helps with the planning for the power systems by ...
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01/02/2023
Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data
The analysis of software requirement specifications (SRS) using Natural ...
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11/04/2022
A Prompt-based Few-shot Learning Approach to Software Conflict Detection
A software requirement specification (SRS) document is an essential part...
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11/02/2022
ADPTriage: Approximate Dynamic Programming for Bug Triage
Bug triaging is a critical task in any software development project. It ...
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10/05/2022
Token Classification for Disambiguating Medical Abbreviations
Abbreviations are unavoidable yet critical parts of the medical text. Us...
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08/01/2022
Interpretable Time Series Clustering Using Local Explanations
This study focuses on exploring the use of local interpretability method...
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06/28/2022
Linear programming-based solution methods for constrained POMDPs
Constrained partially observable Markov decision processes (CPOMDPs) hav...
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06/28/2022
Identifying the requirement conflicts in SRS documents using transformer-based sentence embeddings
High quality software systems typically require a set of clear, complete...
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06/10/2022
A multi-objective constrained POMDP model for breast cancer screening
Breast cancer is a common and deadly disease, but it is often curable wh...
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04/18/2022
Time Series Clustering for Grouping Products Based on Price and Sales Patterns
Developing technology and changing lifestyles have made online grocery d...
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04/12/2022
S-DABT: Schedule and Dependency-Aware Bug Triage in Open-Source Bug Tracking Systems
Fixing bugs in a timely manner lowers various potential costs in softwar...
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09/05/2021
VARGAN: Variance Enforcing Network Enhanced GAN
Generative adversarial networks (GANs) are one of the most widely used g...
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09/02/2021
Text Classification for Predicting Multi-level Product Categories
In an online shopping platform, a detailed classification of the product...
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05/21/2021
Word-level Text Highlighting of Medical Texts forTelehealth Services
The medical domain is often subject to information overload. The digitiz...
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04/26/2021
Auto Response Generation in Online Medical Chat Services
Telehealth helps to facilitate access to medical professionals by enabli...
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04/26/2021
DABT: A Dependency-aware Bug Triaging Method
In software engineering practice, fixing a bug promptly reduces the asso...
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04/24/2021
Predicting the Number of Reported Bugs in a Software Repository
The bug growth pattern prediction is a complicated, unrelieved task, whi...
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04/24/2021
A Deep Reinforcement Learning Approach for the Meal Delivery Problem
We consider a meal delivery service fulfilling dynamic customer requests...
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03/05/2021
Does chronology matter in JIT defect prediction? A Partial Replication Study
Just-In-Time (JIT) models detect the fix-inducing changes (or defect-ind...
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03/05/2021
Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study
Software defect prediction heavily relies on the metrics collected from ...
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11/10/2020
Wayback Machine: Capturing the evolutionary behaviour of the bug dependency graph in open-source software systems
The issue tracking system (ITS) is a rich data source for data-driven de...
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09/18/2020
Explainable boosted linear regression for time series forecasting
Time series forecasting involves collecting and analyzing past observati...
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09/18/2020
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting
Being able to interpret a machine learning model is a crucial task in ma...
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06/16/2020