Attila Tiba

According to our database, Attila Tiba authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Finding Efficient Graph Embeddings and Processing them by a CNN-based Tool.

Attila Tiba, András Hajdu, Tamas Giraszi

Neural Process. Lett., October, 2024

A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews.

Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu

Big Data Cogn. Comput., March, 2024

2023

A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews.

Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu

CoRR, 2023

2022

Stochastic and deterministic optimization methods and their applications

Attila Tiba

PhD thesis, 2022

A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning.

András Hajdu, György Terdik, Attila Tiba, Henrietta Tomán

Mach. Learn., 2022

2020

A stochastic approach to handle knapsack problems in the creation of ensembles.

András Hajdu, György Terdik, Attila Tiba, Henrietta Tomán

CoRR, 2020

2019

Binary classifiers' outputs for ensemble creation.

Attila Tiba, András Hajdu, Henrietta Tomán, György Terdik

Dataset, May, 2019

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

Attila Tiba, András Hajdu, György Terdik, Henrietta Tomán

CoRR, 2019

Detecting outlier and poor quality medical images with an ensemble-based deep learning system.

Attila Tiba, Zsombor Bartik, Henrietta Tomán, András Hajdu

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Convolutional Neural Network For Predicting The Spread of Cancer.

Oktavian Lantang, Attila Tiba, András Hajdu, György Terdik

Proceedings of the 10th IEEE International Conference on Cognitive Infocommunications, 2019

Using Laplacian spectrum to analyse the comorbidities network of hemorrhagic stroke.

Attila Bérczes, Tamás Bérczes, Imre Varga, Attila Tiba, Judit Zsuga

Proceedings of the 10th IEEE International Conference on Cognitive Infocommunications, 2019

2017

Efficient texture regularity estimation for second order statistical descriptors.

Attila Tiba, Balázs Harangi, András Hajdu

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017