Theophilos Papadimitriou

发表

Applying PCA neural models for the blind separation of signals

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2009, Neurocomputing.

Analytical Solution of the Blind Identification Problem for Multichannel FIR Systems Based on Second Order Statistics

Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

An AutoML application to forecasting bank failures

Theophilos Papadimitriou, Paulos Charonyktakis, Ioannis Tsamardinos, 2021 .

Blind separation of multiple binary sources from one nonlinear mixture

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Gabriela Vranou, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances

Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2011, J. Signal Process. Syst..

Directional Forecasting in Financial Time Series Using Support Vector Machines: The USD/EURO Exchange Rate

Theophilos Papadimitriou, Periklis Gogas, Vasilios Plakandaras, 2011 .

A simple way for 3D simulation

Alexandros Karakos, Theophilos Papadimitriou, 1997, Proceedings of 13th International Conference on Digital Signal Processing.

Forecasting S&P 500 spikes: an SVM approach

Theophilos Papadimitriou, Periklis Gogas, Athanasios Fotios Athanasiou, 2020 .

The Effects of Geopolitical Uncertainty in Forecasting Financial Markets: A Machine Learning Approach

Theophilos Papadimitriou, Periklis Gogas, Vasilios Plakandaras, 2018, Algorithms.

Blind signal separation using oriented PCA neural models

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Robust estimation of rigid-body 3-D motion parameters based on point correspondences

Michael G. Strintzis, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2000, IEEE Trans. Circuits Syst. Video Technol..

Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources

Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2006, IEEE Trans. Signal Process..

Forecasting Credit Ratings of EU Banks

Theophilos Papadimitriou, Periklis Gogas, Vasilios Plakandaras, 2020, International Journal of Financial Studies.

A channel deflation approach for the blind deconvolution of a complex FIR channel with real input

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Efthimios Kotsialos, 2006, 2006 14th European Signal Processing Conference.

Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2004, ICA.

Total least squares 3-D motion estimation

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Michael G. Strintzis, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2005, IEEE Transactions on Signal Processing.

Blind separation of reflections using the image mixtures ratio

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2005, IEEE International Conference on Image Processing 2005.

A novel rigid object segmentation method based on multiresolution 3-D motion and luminance analysis

Michael G. Strintzis, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Oil Market Efficiency Under a Machine Learning Perspective

Theophilos Papadimitriou, Periklis Gogas, Vasilios Plakandaras, 2018, Forecasting.

Analyzing data into quantized components

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Konstantinos Goulianas, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Efficient Subspace Method for the Blind Identification of Multichannel FIR Systems

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2008, IEEE Transactions on Signal Processing.

The evolution of the cryptocurrencies market: A complex networks approach

Theophilos Papadimitriou, Periklis Gogas, Fotios Gkatzoglou, 2020, J. Comput. Appl. Math..

Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2009, ICA.

A re-evaluation of the term spread as a leading indicator

Theophilos Papadimitriou, Rangan Gupta, Periklis Gogas, 2019, International Review of Economics & Finance.

Market Sentiment and Exchange Rate Directional Forecasting

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Periklis Gogas, 2015, Algorithmic Finance.

Forecasting the U.S. Real House Price Index

Theophilos Papadimitriou, Periklis Gogas, Vasilios Plakandaras, 2014 .

Blind identification of PAM-MIMO systems based on the distribution of output differences

Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Video scene segmentation using spatial contours and 3-D robust motion estimation

Michael G. Strintzis, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2004, IEEE Transactions on Circuits and Systems for Video Technology.

From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing

Markos Zampoglou, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2010, J. Signal Process. Syst..

Robust estimation of rigid body 3-D motion parameters from point correspondences

Michael G. Strintzis, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Multiple correspondence analysis for "tall" data sets

Theophilos Papadimitriou, George Menexes, Angelos I. Markos, 2009, Intell. Data Anal..

Motion descriptors for semantic video indexing

Markos Zampoglou, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2010, 2010 International Conference on Signal Processing and Multimedia Applications (SIGMAP).

An analysis of the U.S. Gross State Product co-movement using the Minimum Dominating Set

Theophilos Papadimitriou, Periklis Gogas, Georgios Antonios Sarantitis, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Forecasting Bank Failures and Stress Testing: A Machine Learning Approach

Theophilos Papadimitriou, Anna Agrapetidou, Periklis Gogas, 2017 .

Money Neutrality, Monetary Aggregates and Machine Learning

Theophilos Papadimitriou, Periklis Gogas, Emmanouil Sofianos, 2019, Algorithms.

MIMO blind deconvolution using subspace-based filter deflation

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Temporal filtering and oriented PCA neural networks for blind source separation

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach

Theophilos Papadimitriou, Rangan Gupta, Periklis Gogas, 2015 .

Gold Against the Machine

Theophilos Papadimitriou, Periklis Gogas, Vasilios Plakandaras, 2020, Computational Economics.

Forecasting bank failures and stress testing: A machine learning approach

Theophilos Papadimitriou, Anna Agrapetidou, Periklis Gogas, 2018, International Journal of Forecasting.

Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm

Konstantinos I. Diamantaras, Theophilos Papadimitriou, George A. Papakostas, 2017, J. Parallel Distributed Comput..

Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques

Theophilos Papadimitriou, Periklis Gogas, Vasilios Plakandaras, 2017 .

Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Gabriela Vranou, 2013, IEEE Transactions on Signal Processing.

Forecasting transportation demand for the U.S. market

Theophilos Papadimitriou, Periklis Gogas, Vasilios Plakandaras, 2019, Transportation Research Part A: Policy and Practice.

Forecasting the insolvency of US banks using support vector machines (SVMs) based on local learning feature selection

Theophilos Papadimitriou, Periklis Gogas, Vasilios Plakandaras, 2013 .

Machine Learning in Economics and Finance

Theophilos Papadimitriou, Periklis Gogas, Periklis Gogas, 2021, Computational Economics.

Mind the gap: forecasting euro-area output gaps with machine learning

Theophilos Papadimitriou, Periklis Gogas, Emmanouil Sofianos, 2021, Applied Economics Letters.

Forecasting bank credit ratings

Theophilos Papadimitriou, Anna Agrapetidou, Periklis Gogas, 2014 .

Blind separation of three binary sources from one nonlinear mixture

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

INTEGRATING MOTION AND COLOR FOR CONTENT BASED VIDEO CLASSIFICATION

Markos Zampoglou, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2008 .