18,720 Result(s)

Chapter and Conference Paper

Multi-Augmentation Contrastive Learning as Multi-Objective Optimization for Graph Neural Networks

Recently self-supervised learning is gaining popularity for Graph Neural Networks (GNN) by leveraging unlabeled data. Augmentation plays a key role in self-supervision. While there is a common set of image aug...

Xu Li, Yongsheng Chen in Advances in Knowledge Discovery and Data Mining (2023)

Chapter and Conference Paper

The Effect of Misinformation Intervention: Evidence from Trump’s Tweets and the 2020 Election

In this study, we examine the effect of actions of misinformation mitigation. We use three datasets that contain a wide range of misinformation stories during the 2020 election, and we use synthetic controls t...

Zhuofang Li, Jian Cao, Nicholas Adams-Cohen… in Disinformation in Open Online Media (2023)

Chapter and Conference Paper

Fooling Partial Dependence via Data Poisoning

Many methods have been developed to understand complex predictive models and high expectations are placed on post-hoc model explainability. It turns out that such explanations are not robust nor trustworthy, a...

Hubert Baniecki, Wojciech Kretowicz… in Machine Learning and Knowledge Discovery i… (2023)

Chapter and Conference Paper

An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance

Emotion recognition (ER) from speech signals is a robust approach since it cannot be imitated like facial expression or text based sentiment analysis. Valuable information underlying the emotions are significa...

David Hason Rudd, Huan Huo, Guandong Xu in Advances in Knowledge Discovery and Data Mining (2023)

Chapter and Conference Paper

MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks

Accurate spatio-temporal prediction is essential for capturing city dynamics and planning mobility services. State-of-the-art deep spatio-temporal predictive models depend on rich and representative training d...

Ashutosh Sao, Simon Gottschalk… in Advances in Knowledge Discovery and Data M… (2023)

Chapter and Conference Paper

Differences in the Comprehension of the Limit Concept Between Prospective Mathematics Teachers and Managerial Mathematicians During Online Teaching

The paper deals with university student's understanding of a limit process. We involved two groups of students with different specializations in the research: a group of pre-service mathematics teachers (PMTs)...

Mária Slavíčková, Michaela Vargová in Higher Education Learning Methodologies an… (2023)

Chapter and Conference Paper

Psychological Outcomes and Effectiveness of a Collaborative Video-Based Learning Tool for Synchronous Discussions

In the context of digitization and the COVID-19 pandemic, online teaching comes more and more into focus of higher education. Various online learning methodologies such as using videos as a teaching method are...

Carolin Straßmann, André Helgert… in Higher Education Learning Methodologies an… (2023)

Chapter and Conference Paper

Thinking Groups and the Development of Affective Problem-Solving Competencies in Online Learning Environments at the University Level

We present the first findings of an online problem-solving experience for undergraduate students attending a topology course within a Bachelor of Mathematics course. The aims were to promote the construction o...

Annamaria Miranda in Higher Education Learning Methodologies and Technologies Online (2023)

Chapter and Conference Paper

Maverick Matters: Client Contribution and Selection in Federated Learning

Federated learning (FL) enables collaborative learning between parties, called clients, without sharing the original and potentially sensitive data. To ensure fast convergence in the presence of such heterogen...

Jiyue Huang, Chi Hong, Yang Liu… in Advances in Knowledge Discovery and Data M… (2023)

Chapter and Conference Paper

Multi-fair Capacitated Students-Topics Grou** Problem

Group work is a prevalent activity in educational settings, where students are often divided into topic-specific groups based on their preferences. The grou** should reflect students’ aspirations as much as ...

Tai Le Quy, Gunnar Friege… in Advances in Knowledge Discovery and Data Mining (2023)

Chapter and Conference Paper

The Role of Educational Interventions in Facing Social Media Threats: Overarching Principles of the COURAGE Project

Social media are offering new opportunities for communication and interaction way beyond what was possible only a few years ago. However, social media are also virtual spaces where young people are exposed to ...

Davide Taibi, Johanna Börsting, Ulrich Hoppe… in Higher Education Learning Methodologies an… (2023)

Chapter and Conference Paper

Empirically Investigating Virtual Learning Companions to Enhance Social Media Literacy

Social media platforms provide opportunities for users across the world to connect and communicate between them and engage into acts of social support and entertainment. Yet it can also bring negative conseque...

Emily Theophilou, Veronica Schwarze… in Higher Education Learning Methodologies an… (2023)

Chapter and Conference Paper

Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning

Financial portfolio managers typically face multi-period optimization tasks such as short-selling or investing at least a particular portion of the portfolio in a specific industry sector. A common approach to...

David Winkel, Niklas Strauß… in Advances in Knowledge Discovery and Data M… (2023)

Chapter and Conference Paper

How Covid-19 Affected the Slovak and Czech Mathematics and Physics Teachers’ Use of Resources

The paper describes a study realized with Slovak and Czech teachers of mathematics and physics. The pandemic and the sudden appearance of new types of resources, which appears in the preliminary results of the...

Jakub Michal, Tünde Kiss in Higher Education Learning Methodologies and Technologies Online (2023)

Chapter and Conference Paper

Web-Scale Semantic Product Search with Large Language Models

Dense embedding-based semantic matching is widely used in e-commerce product search to address the shortcomings of lexical matching such as sensitivity to spelling variants. The recent advances in BERT-like la...

Aashiq Muhamed, Sriram Srinivasan… in Advances in Knowledge Discovery and Data M… (2023)

Chapter and Conference Paper

Correction to: Deep Learning Technique for Desert Plant Classification and Recognition

In an older version of this paper, there was an orthographical error in the title. This has been corrected.

Najla Alsaedi, Hanan Alahmadi… in Machine Learning and Intelligent Communica… (2022)

Chapter and Conference Paper

Retraction Note to: High Accuracy for Hyperspectral Image Classification Using Hybrid Spectral 3D-2D CNN

Mohini Shivhare, Sweta Tripathi in Intelligent Sustainable Systems (2022)

Chapter and Conference Paper

Correction to: Introducing Planet-Saving Strategies to Measure, Control, and Mitigate Greenhouse Gas Emissions and Water Misuse in Household Residences

In the originally published version of chapter 31 the Figure 5 was processed improperly. The Figure 5 has been corrected.

Ronald S. Marin Cifuentes, Adriana M. Florez Laiseca… in Applied Informatics (2022)

Chapter and Conference Paper

Correction to: Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences

In the originally published version of chapter 48, Table 1 and the equation on page 696 contained errors. This has been corrected.

Martin Aleksandrov, Philip Kilby in AI 2022: Advances in Artificial Intelligence (2022)

Chapter and Conference Paper

Correction to: Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction

Michael Tänzer, Pedro Ferreira, Andrew Scott… in Medical Image Understanding and Analysis (2022)