189 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- King Abdullah University of Science and TechnologySA6 papers
- Université de BordeauxFR6 papers
- Taibah UniversitySA5 papers
- The University of OsakaJP5 papers
- Centre for Quantum TechnologiesSG4 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Laboratoire de Physique des deux infinis BordeauxFR4 papers
- Nanyang Technological UniversitySG4 papers
- National University of SingaporeSG4 papers
- Al Madinah International UniversityMY3 papers
- Czech Technical University in PragueCZ3 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR3 papers
4 papers · 1 filter
1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
Multi-step stock index forecasting is vital in finance for informed decision-making. Current forecasting methods on this task frequently produce unsatisfactory results due to the i…
Assessment of Retracked Ocean Parameters from Sentinel 3A Synthetic Aperture Radar (SAR) Mode Altimetry over the Marginal Seas at Southeast Asia
N. H. Idris, S. Vignudelli, X. Deng
This paper presents the assessment of altimetric data from Sentinel-3A satellite operating in Synthetic Aperture Radar (SAR) mode for sea level research studies and applications ov…
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
Accurately predicting the prices of financial time series is essential and challenging for the financial sector. Owing to recent advancements in deep learning techniques, deep lear…
Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification
Ismail. B. Mustapha, Shafaatunnur Hasan, Hatem S Y Nabbus +3
One of the most studied machine learning challenges that recent studies have shown the susceptibility of deep neural networks to is the class imbalance problem. While concerted res…