Seçkin Karasu

Economics and Econometrics · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 20 citations into it
• Artificial Intelligence — 17 citations into it
• Management Science and Operations Research — 17 citations into it
• Electrical and Electronic Engineering — 15 citations into it
• Control and Systems Engineering — 9 citations into it
• Signal Processing — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Information Systems — 5 citations into it

Whom Seçkin Karasu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kyoung-jae Kim
2. Jérôme Gilles
3. Ramin Rajabioun
4. Hui-Kuang Yu
5. Efthymia Symitsi
6. Salim Lahmiri
7. Huisu Jang
8. Jigar Patel
9. Muhammad Enamul Hoque Chowdhury

Papers from Seçkin Karasu's perspective

Ordered by how strongly the researchers Seçkin Karasu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Financial time series forecasting using support vector machines
3. Bitcoin: A Peer-to-Peer Electronic Cash System
4. Bitcoin and Cryptocurrency Technologies - A Comprehensive Introduction
5. Return, volatility and shock spillovers of Bitcoin with energy and technology companies (Economics Letters)
6. Empirical Wavelet Transform (IEEE Transactions on Signal Processing)
7. Predicting stock market index using fusion of machine learning techniques
8. Cryptocurrency forecasting with deep learning chaotic neural networks (Chaos, Solitons & Fractals)
9. Cuckoo Optimization Algorithm (Applied Soft Computing)
10. A novel cryptocurrency price trend forecasting model based on LightGBM

Their papers

• A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer (2021) — 529 citations
• A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series (2020) — 435 citations
• Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique (2020) — 327 citations
• Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019) — 327 citations