Search
Search Results
-
Implementation of the Time Series and the Convolutional Vision Transformers for Biological Signal Processing - Blood Pressure Estimation from Photoplethysmogram
Blood pressure estimation is crucial for early detection and prevention of many cardiovascular diseases. This paper explores the potential of the...
-
Unveiling Insights: Analyzing Application Logs to Enhance Autism Therapy Outcomes
Leveraging advancements in information technology and the inherent interest of children with autism in robots and technology, this study explores the...
-
Semantic Segmentation of Remote Sensing Images: Definition, Methods, Datasets and Applications
Semantic segmentation of remote sensing images is a vital task in the field of remote sensing and computer vision. The goal is to produce a dense...
-
On the Construction of Associative and Commutative Bilinear Multivariate Quadratic Quasigroups of Order \(2^n\)
Quasigroups have various applications in mathematics, computer science, and cryptography. In coding theory and cryptography they have been used in...
-
Graph Neural Networks for Antisocial Behavior Detection on Twitter
Social media resurgence of antisocial behavior has exerted a downward spiral on stereotypical beliefs, and hateful comments towards individuals and...
-
The Curious Case of Randomness in Deep Learning Models for Heartbeat Classification
The research hypothesis in this study is that different random number generator seeds using 1D Convolutional Neural Networks impact the performance...
-
Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques
This paper investigates the application of machine learning and deep learning models to predict knee meniscus damage from magnetic resonance imaging...
-
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction
(Process) Outcome Prediction entails predicting a discrete property of an unfinished process instance from its partial trace. Various outcome...
-
Understanding the Impact of Design Choices on the Performance of Predictive Process Monitoring
Predictive process monitoring (PPM) aims at creating models that predict aspects of interest of process execution using historical data available in...
-
Exploring Gamification in Process Mining Education: Towards a Playful and Engaging Approach
This article explores how gamification, i.e. the integration of game elements, of the teaching of Process Mining enhances its effectiveness. By...
-
Extracting Rules from Event Data for Study Planning
In this study, we examine how event data from campus management systems can be used to analyze the study paths of higher education students. The main...
-
Process Mining Techniques for Collusion Detection in Online Exams
Honesty and fairness are essential. As many skills, practicing those values starts in the classroom. Whether students are examined online or on-site,...
-
Discovering Process-Based Drivers for Case-Level Outcome Explanation
Process mining has shown great impact in improving business Key Performance Indicators (KPIs), which are typically measured as aggregations over...
-
LLMs and Process Mining: Challenges in RPA
Process mining is often used to identify opportunities for process automation leading to improved efficiency and cost savings. Robotic process...
-
PhD Candidacy: A Tutorial on Overcoming Challenges and Achieving Success
Undertaking a PhD is a demanding yet rewarding experience. PhD candidates develop a deep understanding of their research topic and acquire a wide...
-
Explainable Recommender Systems with Knowledge Graphs and Language Models
In this tutorial, we delve into recent advances in explainable recommendation using Knowledge Graphs (KGs). The session begins by introducing the...
-
Beneath the [MASK]: An Analysis of Structural Query Tokens in ColBERT
ColBERT is a highly effective and interpretable retrieval model based on token embeddings. For scoring, the model adds cosine similarities between...
-
News Gathering: Leveraging Transformers to Rank News
News media outlets disseminate information across various platforms. Often, these posts present complementary content and perspectives on the same...
-
InDi: Informative and Diverse Sampling for Dense Retrieval
Negative sample selection has been shown to have a crucial effect on the training procedure of dense retrieval systems. Nevertheless, most existing...
-
Learning-to-Rank with Nested Feedback
Many platforms on the web present ranked lists of content to users, typically optimized for engagement-, satisfaction- or retention- driven metrics....