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08/04/2023
Who Is Alyx? A new Behavioral Biometric Dataset for User Identification in XR
This article presents a new dataset containing motion and physiological ...
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06/26/2023
TaylorPDENet: Learning PDEs from non-grid Data
Modeling data obtained from dynamical systems has gained attention in re...
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06/09/2023
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data
Previous work on learning physical systems from data has focused on high...
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05/11/2023
Towards a Computational Analysis of Suspense: Detecting Dangerous Situations
Suspense is an important tool in storytelling to keep readers engaged an...
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02/15/2023
Extensible Motion-based Identification of XR Users with Non-Specific Motion
Recently emerged solutions demonstrate that the movements of users inter...
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11/23/2022
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
Common Deep Metric Learning (DML) datasets specify only one notion of si...
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10/14/2022
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
Natural Language Processing and Machine Learning have considerably advan...
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10/04/2022
On Background Bias in Deep Metric Learning
Deep Metric Learning trains a neural network to map input images to a lo...
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10/02/2022
Comparison of Data Representations and Machine Learning Architectures for User Identification on Arbitrary Motion Sequences
Reliable and robust user identification and authentication are important...
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09/08/2022
Towards Responsible Medical Diagnostics Recommendation Systems
The early development and deployment of hospital and healthcare informat...
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07/07/2022
Semi-unsupervised Learning for Time Series Classification
Time series are ubiquitous and therefore inherently hard to analyze and ...
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06/09/2022
Open ERP System Data For Occupational Fraud Detection
Recent estimates report that companies lose 5 occupational fraud. Since ...
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05/05/2022
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
Recent studies have shown that many deep metric learning loss functions ...
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01/17/2022
Sequential Item Recommendation in the MOBA Game Dota 2
Multiplayer Online Battle Arena (MOBA) games such as Dota 2 attract hund...
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11/15/2021
NeuralPDE: Modelling Dynamical Systems from Data
Many physical processes such as weather phenomena or fluid mechanics are...
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10/08/2021
Anomaly Detection in Beehives: An Algorithm Comparison
Sensor-equipped beehives allow monitoring the living conditions of bees....
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07/27/2021
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
At the present time, sequential item recommendation models are compared ...
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12/03/2020
NICER: Aesthetic Image Enhancement with Humans in the Loop
Fully- or semi-automatic image enhancement software helps users to incre...
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03/17/2020
iNALU: Improved Neural Arithmetic Logic Unit
Neural networks have to capture mathematical relationships in order to l...
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03/10/2020
Anomaly Detection in Beehives using Deep Recurrent Autoencoders
Precision beekeeping allows to monitor bees' living conditions by equipp...
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03/06/2020
SimLoss: Class Similarities in Cross Entropy
One common loss function in neural network classification tasks is Categ...
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02/18/2020
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images
Land-use regression (LUR) models are important for the assessment of air...
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04/15/2019
Comparison of System Call Representations for Intrusion Detection
Over the years, artificial neural networks have been applied successfull...
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03/06/2019
A Survey of Network-based Intrusion Detection Data Sets
Labeled data sets are necessary to train and evaluate anomaly-based netw...
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09/27/2018
Flow-based Network Traffic Generation using Generative Adversarial Networks
Flow-based data sets are necessary for evaluating network-based intrusio...
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12/14/2017
Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data
The k-Nearest Neighbor (kNN) classification approach is conceptually sim...
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05/21/2017
Learning Semantic Relatedness From Human Feedback Using Metric Learning
Assessing the degree of semantic relatedness between words is an importa...
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11/28/2016