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Deep Learning with Microfluidics for Biotechnology

Trends in biotechnology (Regular ed.), 2019-03, Vol.37 (3), p.310-324

2019

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A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams

Expert systems with applications, 2020-11, Vol.159, p.113577, Article 113577

2020

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RANK: AI-Assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks

IEEE transactions on dependable and secure computing, 2024-07, Vol.21 (4), p.3834-3850

2024

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Investigating the Influence of Feature Sources for Malicious Website Detection

Applied sciences, 2022-03, Vol.12 (6), p.2806

2022

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Comparison of combining methods using Extreme Learning Machines under small sample scenario

Neurocomputing (Amsterdam), 2016-01, Vol.174, p.4-17

2016

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Extreme learning machine for missing data using multiple imputations

Neurocomputing (Amsterdam), 2016-01, Vol.174, p.220-231

2016

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Approximate k-NN delta test minimization method using genetic algorithms: Application to time series

Neurocomputing (Amsterdam), 2010-06, Vol.73 (10), p.2017-2029

2010

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OPELM and OPKNN in long-term prediction of time series using projected input data

Neurocomputing (Amsterdam), 2010-06, Vol.73 (10), p.1976-1986

2010

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Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models

Advances in Computational Intelligence, p.153-164

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Multistart Strategy Using Delta Test for Variable Selection

Artificial Neural Networks and Machine Learning – ICANN 2011, p.413-420

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Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity

Human factors, 2018-11, Vol.60 (7), p.962-977

2018

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Minimising the delta test for variable selection in regression problems

International journal of high performance systems architecture, 2008, Vol.1 (4), p.269

2008

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Collaborative Filtering with Behavioral Models

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018, p.91-99

2018

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Extending Extreme Learning Machine with Combination Layer

Advances in Computational Intelligence, p.417-426

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Using extreme learning machine for intrusion detection in a big data environment

Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, 2014, p.73-82

2014

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RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks

Bio-Inspired Systems: Computational and Ambient Intelligence, p.359-366

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Fast Feature Selection in a GPU Cluster Using the Delta Test

Entropy (Basel, Switzerland), 2014-02, Vol.16 (2), p.854-869

2014

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Extending Self-Organizing Maps with uncertainty information of probabilistic PCA

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-7

2010

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Climate induced changes in benthic macrofauna—A non-linear model approach

Journal of marine systems, 2012-08, Vol.96-97, p.90-94

2012

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A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks

2020 IEEE 9th International Conference on Cloud Networking (CloudNet), 2020, p.1-6

2020

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An open source adaptive user interface for network monitoring

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, p.1535-1539

2017

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Development of the method of direct temperature measurement for gear cutting of cylindrical gears by hob milling

ANNALS OF THE ORADEA UNIVERSITY. Fascicle of Management and Technological Engineering, 2018-09, Vol.XXVII (XVII), 2018/2 (2)

2018

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Development of the method of direct temperature measurement for gear cutting of cylindrical gears by hob milling

MATEC Web of Conferences, 2018, Vol.184, p.3010

2018

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Platinum(IV) complexes with N-alkylphenothiazines: synthesis, characterization, and antibacterial activity

Journal of coordination chemistry, 2013-11, Vol.66 (21), p.3760-3769

2013

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Composition of Essential Oil Obtained From Tubular, Head and Ligulate Flowers of Calendula officinalis L. by Steam Distillation of Plant Material and CO 2 Extracts

The Journal of essential oil research, 2010-03, Vol.22 (2), p.143-146

2010

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Deep Learning with Microfluidics for Biotechnology

A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams

RANK: AI-Assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks

Investigating the Influence of Feature Sources for Malicious Website Detection

Comparison of combining methods using Extreme Learning Machines under small sample scenario

Extreme learning machine for missing data using multiple imputations

Approximate k-NN delta test minimization method using genetic algorithms: Application to time series

OPELM and OPKNN in long-term prediction of time series using projected input data

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models

Multistart Strategy Using Delta Test for Variable Selection

Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity

Minimising the delta test for variable selection in regression problems

Collaborative Filtering with Behavioral Models

Extending Extreme Learning Machine with Combination Layer

Using extreme learning machine for intrusion detection in a big data environment

RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks

Fast Feature Selection in a GPU Cluster Using the Delta Test

Extending Self-Organizing Maps with uncertainty information of probabilistic PCA

Climate induced changes in benthic macrofauna—A non-linear model approach

A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks

An open source adaptive user interface for network monitoring

Development of the method of direct temperature measurement for gear cutting of cylindrical gears by hob milling

Development of the method of direct temperature measurement for gear cutting of cylindrical gears by hob milling

Platinum(IV) complexes with N-alkylphenothiazines: synthesis, characterization, and antibacterial activity

Composition of Essential Oil Obtained From Tubular, Head and Ligulate Flowers of Calendula officinalis L. by Steam Distillation of Plant Material and CO 2 Extracts

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