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SapiPin: Observations on PIN-code typing dynamics

Acta Universitatis Sapientiae. Informatica, 2023-08, Vol.15 (1), p.10-24

2023

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Drug-target interaction prediction: A Bayesian ranking approach

Computer methods and programs in biomedicine, 2017-12, Vol.152, p.15-21

2017

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Encouraging an appropriate representation simplifies training of neural networks

Acta Universitatis Sapientiae. Informatica, 2020-07, Vol.12 (1), p.102-111

Buza, Krisztian

2020

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Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering

Recent Challenges in Intelligent Information and Database Systems, 2022, Vol.1716, p.102-121

2022

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Modified linear regression predicts drug-target interactions accurately

PloS one, 2020-04, Vol.15 (4), p.e0230726

2020

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IT Ticket Classification: The Simpler, the Better

IEEE access, 2020, Vol.8, p.193380-193395

2020

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SapiAgent: A Bot Based on Deep Learning to Generate Human-Like Mouse Trajectories

IEEE access, 2021, Vol.9, p.124396-124408

2021

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Storage-optimizing clustering algorithms for high-dimensional tick data

Expert systems with applications, 2014-07, Vol.41 (9), p.4148-4157

2014

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Classification of Gene Expression Data: A Hubness-aware Semi-supervised Approach

Computer methods and programs in biomedicine, 2016-04, Vol.127, p.105-113

Buza, Krisztian

2016

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Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

Image Analysis and Processing – ICIAP 2022, p.391-403

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Fusion of Similarity Measures for Time Series Classification

Hybrid Artificial Intelligent Systems, p.253-261

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Drug–target interaction prediction with Bipartite Local Models and hubness-aware regression

Neurocomputing (Amsterdam), 2017-10, Vol.260, p.284-293

2017

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Sparsity-Invariant Convolution for Forecasting Irregularly Sampled Time Series

Computational Collective Intelligence, p.151-162

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Convolutional Neural Networks with Dynamic Convolution for Time Series Classification

Advances in Computational Collective Intelligence, p.304-312

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Hubness-aware kNN classification of high-dimensional data in presence of label noise

Neurocomputing (Amsterdam), 2015-07, Vol.160, p.157-172

2015

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ALADIN: A New Approach for Drug–Target Interaction Prediction

Machine Learning and Knowledge Discovery in Databases, p.322-337

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Nearest neighbor regression in the presence of bad hubs

Knowledge-based systems, 2015-09, Vol.86, p.250-260

2015

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ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural Networks

Applied artificial intelligence, 2016-07, Vol.30 (6), p.541-555

2016

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Semi-supervised Naive Hubness Bayesian k-Nearest Neighbor for Gene Expression Data

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, p.101-110

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Projection-Based Person Identification

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017, Vol.578, p.221-228

2017

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Using Echo State Networks for Cryptography

Artificial Neural Networks and Machine Learning – ICANN 2017, p.663-671

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ASTERICS: Projection-based Classification of EEG with Asymmetric Loss Linear Regression and Genetic Algorithm

2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2020, p.000035-000040

Buza, Krisztian

2020

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Feedback Prediction for Blogs

Data Analysis, Machine Learning and Knowledge Discovery, p.145-152

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Towards Privacy-Aware Keyboards

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017, Vol.578, p.140-147

2017

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Correcting the hub occurrence prediction bias in many dimensions

Computer Science and Information Systems, 2016, Vol.13 (1), p.1-21

2016

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SapiPin: Observations on PIN-code typing dynamics

Drug-target interaction prediction: A Bayesian ranking approach

Encouraging an appropriate representation simplifies training of neural networks

Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering

Modified linear regression predicts drug-target interactions accurately

IT Ticket Classification: The Simpler, the Better

SapiAgent: A Bot Based on Deep Learning to Generate Human-Like Mouse Trajectories

Storage-optimizing clustering algorithms for high-dimensional tick data

Classification of Gene Expression Data: A Hubness-aware Semi-supervised Approach

Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

Fusion of Similarity Measures for Time Series Classification

Drug–target interaction prediction with Bipartite Local Models and hubness-aware regression

Sparsity-Invariant Convolution for Forecasting Irregularly Sampled Time Series

Convolutional Neural Networks with Dynamic Convolution for Time Series Classification

Hubness-aware kNN classification of high-dimensional data in presence of label noise

ALADIN: A New Approach for Drug–Target Interaction Prediction

Nearest neighbor regression in the presence of bad hubs

ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural Networks

Semi-supervised Naive Hubness Bayesian k-Nearest Neighbor for Gene Expression Data

Projection-Based Person Identification

Using Echo State Networks for Cryptography

ASTERICS: Projection-based Classification of EEG with Asymmetric Loss Linear Regression and Genetic Algorithm

Feedback Prediction for Blogs

Towards Privacy-Aware Keyboards

Correcting the hub occurrence prediction bias in many dimensions

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