University of Debrecen (UD)

∙ Debrecen , Hungary ∙ 0 followers

The University of Debrecen, like other integrated institutions of higher education in the country, was formed on January 1, 2000, through the (re)union of formerly independent institutions. The university is historically rooted in the Reformed College of Debrecen (founded in 1538), whose three academic sections later served as the basis for the establishment of the Hungarian Royal University of Sciences, created in 1912. With this heritage of 470 years, the University of Debrecen is the oldest institution of higher education still based in the same city in continuous operation in Hungary. Today, the university is comprised of 15 faculties and three agricultural research centres, and has over 30,000 students.

Recurrent Neural Networks for Time Series Forecasting

Time series forecasting is difficult. It is difficult even for recurrent...
01/01/2019 ∙ by Gábor Petneházi, et al. ∙ 32 ∙ share

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Entropy Non-increasing Games for the Improvement of Dataflow Programming

In this article, we introduce a new conception of a family of esport gam...
02/14/2017 ∙ by Norbert Bátfai, et al. ∙ 0 ∙ share

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Theoretical Robopsychology: Samu Has Learned Turing Machines

From the point of view of a programmer, the robopsychology is a synonym ...
06/08/2016 ∙ by Norbert Bátfai, et al. ∙ 0 ∙ share

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A disembodied developmental robotic agent called Samu Bátfai

The agent program, called Samu, is an experiment to build a disembodied ...
11/09/2015 ∙ by Norbert Bátfai, et al. ∙ 0 ∙ share

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Turing's Imitation Game has been Improved

Using the recently introduced universal computing model, called orchestr...
09/02/2015 ∙ by Norbert Bátfai, et al. ∙ 0 ∙ share

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Are there intelligent Turing machines?

This paper introduces a new computing model based on the cooperation amo...
03/12/2015 ∙ by Norbert Bátfai, et al. ∙ 0 ∙ share

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An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation

In this paper, we propose an approach to the unsupervised segmentation o...
10/27/2014 ∙ by Balint Antal, et al. ∙ 0 ∙ share

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On a correlational clustering of integers

Correlation clustering is a concept of machine learning. The ultimate go...
04/03/2014 ∙ by L. Aszalós, et al. ∙ 0 ∙ share

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Automatic 3D Point Set Reconstruction from Stereo Laparoscopic Images using Deep Neural Networks

In this paper, an automatic approach to predict 3D coordinates from ster...
07/31/2016 ∙ by Balint Antal, et al. ∙ 0 ∙ share

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Quantum Consciousness Soccer Simulator

In cognitive sciences it is not uncommon to use various games effectivel...
11/12/2012 ∙ by N. Bátfai, et al. ∙ 0 ∙ share

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An ensemble-based system for automatic screening of diabetic retinopathy

In this paper, an ensemble-based method for the screening of diabetic re...
10/30/2014 ∙ by Balint Antal, et al. ∙ 0 ∙ share

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Conscious Machines and Consciousness Oriented Programming

In this paper, we investigate the following question: how could you writ...
08/14/2011 ∙ by Norbert Bátfai, et al. ∙ 0 ∙ share

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The Socceral Force

We have an audacious dream, we would like to develop a simulation and vi...
04/12/2010 ∙ by Norbert Bátfai, et al. ∙ 0 ∙ share

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A Two-phase Decision Support Framework for the Automatic Screening of Digital Fundus Images

In this paper we give a brief review on the present status of automated ...
11/01/2014 ∙ by Balint Antal, et al. ∙ 0 ∙ share

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A Conceivable Origin of Machine Consciousness in the IDLE process

In this short paper, we would like to call professional community's atte...
09/28/2009 ∙ by Norbert Bátfai, et al. ∙ 0 ∙ share

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Exploring the predictability of range-based volatility estimators using RNNs

We investigate the predictability of several range-based stock volatilit...
03/19/2018 ∙ by Gábor Petneházi, et al. ∙ 0 ∙ share

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Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems

Ensemble-based approaches are very effective in various fields in raisin...
04/08/2019 ∙ by Attila Tiba, et al. ∙ 0 ∙ share

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QCNN: Quantile Convolutional Neural Network

A dilated causal one-dimensional convolutional neural network architectu...
08/21/2019 ∙ by Gábor Petneházi, et al. ∙ 0 ∙ share

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Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?

This article applies a long short-term memory recurrent neural network t...
09/12/2019 ∙ by Gábor Petneházi, et al. ∙ 0 ∙ share

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Applying Rational Envelope curves for skinning purposes

Special curves in the Minkowski space such as Minkowski Pythagorean hodo...
11/15/2019 ∙ by Kinga Kruppa, et al. ∙ 0 ∙ share

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Efficient Learning of Model Weights via Changing Features During Training

In this paper, we propose a machine learning model, which dynamically ch...
02/21/2020 ∙ by Marcell Beregi-Kovács, et al. ∙ 0 ∙ share

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Cryptanalysis of ITRU

ITRU cryptosystem is a public key cryptosystem and one of the known vari...
05/19/2020 ∙ by Hashim H. R., et al. ∙ 0 ∙ share

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Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure

The recently introduced Matching by Tone Mapping (MTM) dissimilarity mea...
07/24/2020 ∙ by Attila Fazekas, et al. ∙ 0 ∙ share

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University of Debrecen (UD)

Featured Researchers

Norbert Bátfai

Andras Hajdu

Balint Antal

Gábor Petneházi

Renátó Besenczi

Ágnes Baran

József Gáll

Henrietta Toman

L. Aszalós

L. Hajdu

A. Pethő

Recurrent Neural Networks for Time Series Forecasting

Entropy Non-increasing Games for the Improvement of Dataflow Programming

Theoretical Robopsychology: Samu Has Learned Turing Machines

A disembodied developmental robotic agent called Samu Bátfai

Turing's Imitation Game has been Improved

Are there intelligent Turing machines?

An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation

On a correlational clustering of integers

Automatic 3D Point Set Reconstruction from Stereo Laparoscopic Images using Deep Neural Networks

Quantum Consciousness Soccer Simulator

An ensemble-based system for automatic screening of diabetic retinopathy

Conscious Machines and Consciousness Oriented Programming

The Socceral Force

A Two-phase Decision Support Framework for the Automatic Screening of Digital Fundus Images

A Conceivable Origin of Machine Consciousness in the IDLE process

Exploring the predictability of range-based volatility estimators using RNNs

Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems

QCNN: Quantile Convolutional Neural Network

Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?

Applying Rational Envelope curves for skinning purposes

Efficient Learning of Model Weights via Changing Features During Training

Cryptanalysis of ITRU

Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure