A5011042818- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Stock Market Forecasting Methods
- Blockchain Technology Applications and Security
- Web Data Mining and Analysis
- Mathematics, Computing, and Information Processing
- Image Processing and 3D Reconstruction
- Complex Systems and Time Series Analysis
- Market Dynamics and Volatility
Universität Koblenz
2022-2023
Koblenz University of Applied Sciences
2023
University of Koblenz and Landau
2021-2022
Since the birth of Bitcoin in 2009, cryptocurrencies have emerged to become a global phenomenon and an important decentralized financial asset. Due this decentralization, value these digital currencies against fiat is highly volatile over time. Therefore, forecasting crypto-fiat currency exchange rate extremely challenging task. For reliable forecasting, paper proposes multimodal AdaBoost-LSTM ensemble approach that employs all modalities which derive price fluctuation such as social media...
The challenge of automatically extracting metadata from scientific PDF documents varies depending on the diversity layouts within collection. In some disciplines such as German social sciences, authors are not required to generate their papers according a specific template and they often create own templates which yield high appearance across publications. Overcoming this using only Natural Language Processing (NLP) approaches is always effective reflected in unavailability large portion...
Since Bitcoin first appeared on the scene in 2009, cryptocurrencies have become a worldwide phenomenon as important decentralized financial assets. Their nature, however, leads to notable volatility against traditional fiat currencies, making task of accurately forecasting crypto-fiat exchange rate complex. In this study, we examine various independent factors that affect Bitcoin-Dollar rate's volatility. To end, propose CoMForE, multimodal AdaBoost-LSTM ensemble model, which not only...
Nowadays, metadata information is often given by the authors themselves upon submission. However, a significant part of already existing research papers have missing or incomplete information. German scientific come in large variety layouts which makes extraction non-trivial task that requires precise way to classify extracted from documents. In this paper, we propose multimodal deep learning approach for language. We consider multiple types input data combining natural language processing...