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Alexandros Iosifidis

Aarhus University (from arXiv:2310.03435, 2023) · ORCID · OpenAlex

47 papers in scope · 45 published · 3 on the econ.EM arXiv · 1,705 citations · h-index 22 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Trong Nghia-Nguyen
  2. Minh-Ngoc Tran
  3. Robert Kohn
  4. Tra Ngoc Vy Nguyen
  5. David Gunawan
  6. Chen Liu
  7. Martin Magris
  8. Chao Wang
  9. Adam Clements
  10. Dan Li
  11. Christopher Drovandi
  12. Haoyuan Wang
  13. Yasin Şimşek
  14. Andrew J. Patton
  15. Richard Gerlach
  16. William E. Griffiths
  17. Duangkamon Chotikapanich
  18. Slawek Smyl
  19. Kasun Bandara
  20. Diego S. de Brito

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(3 of 47)

Classifying and clustering trading agents
published2026 · Quantitative Finance
with Mateusz Wiliński, Anubha Goel, Juho Kanniainen
Quantitative Finance
Geometric Deep Learning for Computer-Aided Design: A Survey
published2025 · IEEE Access · 21 citations · first circulated 2024
with Negar Heidari
IEEE Access
Vpit: real-time embedded single object 3D tracking using voxel pseudo images
published2024 · Neural Computing and Applications · 3 citations · first circulated 2022
with Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
Neural Computing and Applications
Variational Inference for GARCH-family Models
working paper2023 · arXiv · 1 citations
with Martin Magris
Paper profile arXiv arXiv:2310.03435
WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer
published2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 4 citations
with Firas Laakom, Jenni Raitoharju, Moncef Gabbouj
Proceedings of the AAAI Conference on Artificial Intelligence
Predicting the state of synchronization of financial time series using cross recurrence plots
published2023 · Neural Computing and Applications · 11 citations · first circulated 2022
with Mostafa Shabani, Martin Magris, George Tzagkarakis, Juho Kanniainen
Neural Computing and Applications
Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance
published2023 · Expert Systems with Applications · 12 citations · first circulated 2022
with Kęstutis Baltakys, Margarita Baltakienė, Negar Heidari, Juho Kanniainen
Expert Systems with Applications
Augmented bilinear network for incremental multi-stock time-series classification” [Pattern Recognit. 141 (2023) 109604
published2023 · Pattern Recognition · 13 citations · first circulated 2022
with Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Dat Tran
Pattern Recognition
Bayesian learning for neural networks: an algorithmic survey
published2023 · Artificial Intelligence Review · 141 citations · first circulated 2022
with Martin Magris
Artificial Intelligence Review
Bayesian bilinear neural network for predicting the mid‐price dynamics in limit‐order book markets
published2023 · Journal of Forecasting · 17 citations · first circulated 2022
with Martin Magris, Mostafa Shabani
Paper profile Journal of Forecasting arXiv:2203.03613
Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey
published2023 · IEEE Access · 47 citations · first circulated 2022
with Mehdi Rafiei, Jenni Raitoharju
IEEE Access
Fighting Money Laundering With Statistics and Machine Learning
published2023 · IEEE Access · 39 citations · first circulated 2022
with Rasmus Ingemann Tuffveson Jensen, Rasmus Lund Jensen
IEEE Access
Automatic social distance estimation for photographic studies: Performance evaluation, test benchmark, and algorithm
published2022 · Machine Learning with Applications · 5 citations · first circulated 2021
with Mert Seker, Anssi Männistö, Jenni Raitoharju
Machine Learning with Applications
Single-layer vision transformers for more accurate early exits with less overhead
published2022 · Neural Networks · 38 citations · first circulated 2021
with Arian Bakhtiarnia, Qi Zhang
Neural Networks
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning
working paper2022 · arXiv · 2 citations
with Martin Magris, Mostafa Shabani
Paper profile arXiv arXiv:2205.11568
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data
published2022 · Scientific Reports · 15 citations
with Andreas Holm Nielsen, Henrik Karstoft
Scientific Reports
Attention-Based Neural Bag-of-Features Learning for Sequence Data
published2022 · IEEE Access · 9 citations · first circulated 2020
with Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Dat Tran
IEEE Access
Graph Embedding With Data Uncertainty
published2022 · IEEE Access
with Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Moncef Gabbouj
IEEE Access
Feedforward neural networks initialization based on discriminant learning
published2021 · Neural Networks · 47 citations
with Kateryna Chumachenko, Moncef Gabbouj
Neural Networks
Visualising deep network time-series representations
published2021 · Neural Computing and Applications · 3 citations
with Błażej Leporowski
Neural Computing and Applications
Self-organized Operational Neural Networks with Generative Neurons
published2021 · Neural Networks · 108 citations
with Serkan Kıranyaz, Junaid Malik, Habib Ben Abdallah, Türker İnce, Moncef Gabbouj, Mustafa Serkan Kiranyaz
Neural Networks
Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization
published2021 · Journal of Signal Processing Systems · 22 citations
with Nikolaos Passalis, Juho Kanniainen, Moncef Gabbouj, Anastasios Tefas
Journal of Signal Processing Systems
Exploiting heterogeneity in operational neural networks by synaptic plasticity
published2021 · Neural Computing and Applications · 30 citations · first circulated 2020
with Serkan Kıranyaz, Junaid Malik, Habib Ben Abdallah, Türker İnce, Moncef Gabbouj, Mustafa Serkan Kiranyaz
Neural Computing and Applications
INTEL-TAU: A Color Constancy Dataset
published2021 · IEEE Access · 6 citations
with Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Moncef Gabbouj
IEEE Access
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification
published2021 · IEEE Access · 2 citations · first circulated 2020
with Negar Heidari
IEEE Access
Mid-price prediction based on machine learning methods with technical and quantitative indicators
published2020 · PLoS ONE · 29 citations · first circulated 2018
with Adamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj
PLoS ONE
Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data
published2020 · Pattern Recognition Letters · 2 citations · first circulated 2019
with Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj
Pattern Recognition Letters
Using Deep Learning for price prediction by exploiting stationary limit order book features
published2020 · Applied Soft Computing · 19 citations · first circulated 2018
with Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj
Applied Soft Computing
Multilinear Compressive Learning
published2020 · IEEE Transactions on Neural Networks and Learning Systems · 33 citations
with Dat Thanh Tran, Mehmet Yamaç, Aysen Degerli, Moncef Gabbouj
IEEE Transactions on Neural Networks and Learning Systems
Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices
published2020 · IEEE Transactions on Neural Networks and Learning Systems · 19 citations
with Nikolaos Passalis, Moncef Gabbouj, Anastasios Tefas
IEEE Transactions on Neural Networks and Learning Systems
Operational neural networks
published2020 · Neural Computing and Applications · 121 citations
with Serkan Kıranyaz, Türker İnce, Moncef Gabbouj, Mustafa Serkan Kiranyaz
Neural Computing and Applications
Ellipsoidal Subspace Support Vector Data Description
published2020 · IEEE Access · 22 citations
with Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj
IEEE Access
Machine Learning Based Analysis of Finnish World War II Photographers
published2020 · IEEE Access · 14 citations
with Kateryna Chumachenko, Anssi Männistö, Jenni Raitoharju
IEEE Access
Probabilistic Class-Specific Discriminant Analysis
published2020 · IEEE Access · 3 citations
IEEE Access
Deep Adaptive Input Normalization for Time Series Forecasting
published2019 · IEEE Transactions on Neural Networks and Learning Systems · 8 citations
with Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj
IEEE Transactions on Neural Networks and Learning Systems
Progressive Operational Perceptrons with Memory
published2019 · Neurocomputing · 27 citations · first circulated 2018
with Dat Thanh Tran, Serkan Kıranyaz, Moncef Gabbouj
Neurocomputing
Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data
published2019 · Quantitative Finance · 58 citations · first circulated 2018
with Ymir Mäkinen, Juho Kanniainen, Moncef Gabbouj, Milla Mäkinen
Quantitative Finance
PyGOP: A Python library for Generalized Operational Perceptron algorithms
published2019 · Knowledge-Based Systems · 17 citations
with Dat Thanh Tran, Serkan Kıranyaz, Moncef Gabbouj
Knowledge-Based Systems
Heterogeneous Multilayer Generalized Operational Perceptron
published2019 · IEEE Transactions on Neural Networks and Learning Systems · 86 citations
with Dat Thanh Tran, Serkan Kıranyaz, Moncef Gabbouj
IEEE Transactions on Neural Networks and Learning Systems
Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data
published2019 · IEEE Access · 59 citations · first circulated 2018
with Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj
IEEE Access
Feature Engineering for Mid-Price Prediction With Deep Learning
published2019 · IEEE Access · 5 citations
with Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj
IEEE Access
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data
published2018 · IEEE Transactions on Emerging Topics in Computational Intelligence · 50 citations
with Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj
IEEE Transactions on Emerging Topics in Computational Intelligence
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
published2018 · IEEE Transactions on Neural Networks and Learning Systems · 246 citations · first circulated 2017
with Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj
IEEE Transactions on Neural Networks and Learning Systems
Improving efficiency in convolutional neural networks with multilinear filters
published2018 · Neural Networks · 39 citations
with Dat Thanh Tran, Moncef Gabbouj
Neural Networks
Progressive Operational Perceptrons
published2016 · Neurocomputing · 60 citations
with Serkan Kıranyaz, Türker İnce, Moncef Gabbouj
Neurocomputing
On the Optimal Class Representation in Linear Discriminant Analysis
published2013 · IEEE Transactions on Neural Networks and Learning Systems · 56 citations
with Anastasios Tefas, Ioannis Pitas
IEEE Transactions on Neural Networks and Learning Systems
View-Invariant Action Recognition Based on Artificial Neural Networks
published2012 · IEEE Transactions on Neural Networks and Learning Systems · 136 citations
with Anastasios Tefas, Ioannis Pitas
IEEE Transactions on Neural Networks and Learning Systems

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.