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Alexandros Iosifidis

Alexandros Iosifidis

D-Index & Metrics

Computer Science

D-Index
43
Citations
7929
World Ranking
7978
National Ranking
36

Overview

Alexandros Iosifidis is affiliated with Aarhus University in Denmark. Their research primarily focuses on computer science, with substantial contributions in subfields such as computer vision and pattern recognition, artificial intelligence, signal processing, electrical and electronic engineering, and management science and operations research.

Their work covers a range of main topics, including advanced neural network applications, anomaly detection techniques and applications, time series analysis and forecasting, video surveillance and tracking methods, domain adaptation and few-shot learning, stock market forecasting methods, and neural networks and applications.

Frequent publication venues for their work include arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Access, Pattern Recognition, and Qatar University QSpace (Qatar University).

Iosifidis has collaborated extensively with several researchers, including Moncef Gabbouj, Jenni Raitoharju, Qi Zhang, Arian Bakhtiarnia, and Anastasios Tefas.

Selected recent papers include:

  • Deep learning and computer vision will transform entomology, 2021, Proceedings of the National Academy of Sciences
  • Constructing Neural Network Based Models for Simulating Dynamical Systems, 2022, ACM Computing Surveys
  • Bayesian learning for neural networks: an algorithmic survey, 2023, Artificial Intelligence Review
  • Operational neural networks, 2022, Qatar University QSpace (Qatar University)
  • Self-organized Operational Neural Networks with Generative Neurons, 2022, Qatar University QSpace (Qatar University)

Best Publications

  • Deep learning and computer vision will transform entomology.

    Toke T. Høye;Johanna Ärje;Kim Bjerge;Oskar L. P. Hansen;Oskar L. P. Hansen

  • Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks

    Avraam Tsantekidis;Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen

  • Signal Processing: Image Communication

    Alexandros Iosifidis;Anastasios Tefas;Ioannis Pitas;Moncef Gabbouj

  • Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis

    Dat Thanh Tran;Alexandros Iosifidis;Juho Kanniainen;Moncef Gabbouj

  • View-Invariant Action Recognition Based on Artificial Neural Networks

    A. Iosifidis;A. Tefas;I. Pitas

  • On the kernel Extreme Learning Machine classifier

    Alexandros Iosifidis;Anastastios Tefas;Ioannis Pitas

  • Using deep learning to detect price change indications in financial markets

    Avraam Tsantekidis;Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen

  • Deep Adaptive Input Normalization for Time Series Forecasting

    Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen;Moncef Gabbouj

  • Benchmark dataset for mid-price forecasting of limit order book data with machine learning methods

    Adamantios Ntakaris;Martin Magris;Juho Kanniainen;Moncef Gabbouj

  • Minimum Class Variance Extreme Learning Machine for Human Action Recognition

    Alexandros Iosifidis;Anastasios Tefas;Ioannis Pitas

  • Self-organized Operational Neural Networks with Generative Neurons.

    Serkan Kiranyaz;Junaid Malik;Habib Ben Abdallah;Turker Ince

  • Species‐level image classification with convolutional neural network enables insect identification from habitus images

    Oskar L. P. Hansen;Oskar L. P. Hansen;Jens‐Christian Svenning;Kent Olsen;Steen Dupont

  • Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval

    Guanqun Cao;Alexandros Iosifidis;Ke Chen;Moncef Gabbouj

  • Operational neural networks

    Serkan Kiranyaz;Turker Ince;Alexandros Iosifidis;Moncef Gabbouj

  • Graph Embedded Extreme Learning Machine

    Alexandros Iosifidis;Anastasios Tefas;Ioannis Pitas

  • Constructing Neural Network-Based Models for Simulating Dynamical Systems.

    Christian Møldrup Legaard;Thomas Schranz;Gerald Schweiger;Ján Drgona

  • Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis

    Alexandros Iosifidis;Anastasios Tefas;Nikolaos Nikolaidis;Ioannis Pitas

  • Discriminant Bag of Words based representation for human action recognition

    Alexandros Iosifidis;Anastastios Tefas;Ioannis Pitas

  • Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning

    A. Iosifidis;A. Tefas;I. Pitas

  • Automatic image‐based identification and biomass estimation of invertebrates

    Johanna Ärje;Johanna Ärje;Claus Melvad;Mads Rosenhøj Jeppesen;Sigurd Agerskov Madsen

  • Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis

    Alexandros Iosifidis;Anastasios Tefas;Ioannis Pitas

  • Using Deep Learning for price prediction by exploiting stationary limit order book features

    Avraam Tsantekidis;Nikolaos Passalis;Anastasios Tefas;Juho Kanniainen

Frequent Co-Authors

Moncef Gabbouj
Moncef Gabbouj Tampere University
Anastasios Tefas
Anastasios Tefas Aristotle University of Thessaloniki
Ioannis Pitas
Ioannis Pitas Aristotle University of Thessaloniki
Serkan Kiranyaz
Serkan Kiranyaz Qatar University
Nikos Nikolaidis
Nikos Nikolaidis Aristotle University of Thessaloniki
Antonios Gasteratos
Antonios Gasteratos Democritus University of Thrace
Xiao-Jun Zeng
Xiao-Jun Zeng University of Manchester
Vijay V. Raghavan
Vijay V. Raghavan University of Louisiana at Lafayette
Ira Assent
Ira Assent Aarhus University
Philippe C. Baveye
Philippe C. Baveye University of Paris-Saclay

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