189 citations
- 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
6 papers · 1 filter
Critical Review for One-class Classification: recent advances and the reality behind them
Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita +1
This paper offers a comprehensive review of one-class classification (OCC), examining the technologies and methodologies employed in its implementation. It delves into various appr…
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…
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…
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network
Chun-Ren Phang, Chee-Ming Ting, Fuad Noman +1
We exploit altered patterns in brain functional connectivity as features for automatic discriminative analysis of neuropsychiatric patients. Deep learning methods have been introdu…
A Converged Algorithm for Tikhonov Regularized Nonnegative Matrix Factorization with Automatic Regularization Parameters Determination
Andri Mirzal
We present a converged algorithm for Tikhonov regularized nonnegative matrix factorization (NMF). We specially choose this regularization because it is known that Tikhonov regulari…
Clustering and Latent Semantic Indexing Aspects of the Nonnegative Matrix Factorization
Andri Mirzal
This paper provides a theoretical support for clustering aspect of the nonnegative matrix factorization (NMF). By utilizing the Karush-Kuhn-Tucker optimality conditions, we show th…