76 citations · 152 across the 7 of their papers we have counts for
5 papers · 1 filter
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series
Wadie Skaf, Tomáš Horváth
Anomalies in time-series provide insights of critical scenarios across a range of industries, from banking and aerospace to information technology, security, and medicine. However,…
Object Detection Using Sim2Real Domain Randomization for Robotic Applications
Dániel Horváth, Gábor Erdős, Zoltán Istenes +2
Robots working in unstructured environments must be capable of sensing and interpreting their surroundings. One of the main obstacles of deep-learning-based models in the field of…
Multimodal Feature Extraction for Memes Sentiment Classification
Sofiane Ouaari, Tsegaye Misikir Tashu, Tomas Horvath
In this study, we propose feature extraction for multimodal meme classification using Deep Learning approaches. A meme is usually a photo or video with text shared by the young gen…
Multimodal E-Commerce Product Classification Using Hierarchical Fusion
Tsegaye Misikir Tashu, Sara Fattouh, Peter Kiss +1
In this work, we present a multi-modal model for commercial product classification, that combines features extracted by multiple neural network models from textual (CamemBERT and F…
Deep Learning Architecture for Automatic Essay Scoring
Tsegaye Misikir Tashu, Chandresh Kumar Maurya, Tomas Horvath
Automatic evaluation of essay (AES) and also called automatic essay scoring has become a severe problem due to the rise of online learning and evaluation platforms such as Coursera…