Mykola Pechenizkiy

发表

VANET Meets Deep Learning: The Effect of Packet Loss on the Object Detection Performance

Ivan Wang-Hei Ho, Yuhao Wang, Vlado Menkovski, 2019, 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring).

Node classification in dynamic social networks

Yulong Pei, Mykola Pechenizkiy, Jianpeng Zhang, 2016 .

Looking Deeper into Deep Learning Model: Attribution-based Explanations of TextCNN pdf

Wenting Xiong, Mykola Pechenizkiy, Iftitahu Ni'mah, 2018, ArXiv.

ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks pdf

Mykola Pechenizkiy, Werner van Ipenburg, Yulong Pei, 2020, Machine Learning.

Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models pdf

Mykola Pechenizkiy, Werner van Ipenburg, Hilde J.P. Weerts, 2019, ArXiv.

Novelty producing synaptic plasticity

Giovanni Iacca, Decebal Constantin Mocanu, Anil Yaman, 2020, GECCO Companion.

Knowledge Elicitation using Deep Metric Learning and Psychometric Testing

Vlado Menkovski, Mykola Pechenizkiy, Lu Yin, 2020, IJCAI.

BoostEMM - Transparent Boosting using Exceptional Model Mining

Wouter Duivesteijn, Mykola Pechenizkiy, Werner van Ipenburg, 2017, MIDAS@PKDD/ECML.

A survey on concept drift adaptation

João Gama, Abdelhamid Bouchachia, Albert Bifet, 2014, ACM Comput. Surv..

FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems

Robin Burke, Bamshad Mobasher, Masoud Mansoury, 2020, UMAP.

The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System

Seppo Puuronen, Mykola Pechenizkiy, E. Vasilyev, 2006 .

BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation pdf

Vlado Menkovski, Mykola Pechenizkiy, Iftitahu Ni'mah, 2019, ArXiv.

Bridging the Performance Gap between FGSM and PGD Adversarial Training pdf

Vlado Menkovski, Mykola Pechenizkiy, Yulong Pei, 2020, ArXiv.

Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison pdf

Robin Burke, Bamshad Mobasher, Masoud Mansoury, 2019, RMSE@RecSys.

ViDi: Descriptive Visual Data Clustering as Radiologist Assistant in COVID-19 Streamline Diagnostic pdf

Samaneh Khoshrou, Mykola Pechenizkiy, Sahithya Ravi, 2020, ArXiv.

New Trends in Databases and Information Systems

Marek Wojciechowski, Mykola Pechenizkiy, Mykola Pechenizkiy, 2018, Communications in Computer and Information Science.

A Human-Grounded Evaluation of SHAP for Alert Processing pdf

Mykola Pechenizkiy, Werner van Ipenburg, Hilde J.P. Weerts, 2019, ArXiv.

Feedback Loop and Bias Amplification in Recommender Systems

Bamshad Mobasher, Masoud Mansoury, Robin D. Burke, 2020, CIKM.

Dimensionality reduction for classification tasks modelling

David Patterson, Alexey Tsymbal, Mykola Pechenizkiy, 2002 .

EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features

Mykola Pechenizkiy, Yulong Pei, Negar Ahmadi, 2020, Brain Informatics.

SpaceNet: Make Free Space For Continual Learning pdf

Decebal Constantin Mocanu, Ghada Sokar, Mykola Pechenizkiy, 2020, Neurocomputing.

On improving deep learning generalization with adaptive sparse connectivity pdf

Decebal Constantin Mocanu, Mykola Pechenizkiy, Shiwei Liu, 2019, ArXiv.

Basic Techniques, Surveys and Tutorials

Mykola Pechenizkiy, Ryan S. Baker, C. Romero, 2010 .

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems

Bamshad Mobasher, Masoud Mansoury, Arman Dehpanah, 2020, FLAIRS.

Causal Discovery from Incomplete Data: A Deep Learning Approach pdf

Vlado Menkovski, Yuhao Wang, Mykola Pechenizkiy, 2020, ArXiv.

Topological Insights in Sparse Neural Networks pdf

Decebal Constantin Mocanu, Anil Yaman, Ghada Sokar, 2020, ArXiv.

struc2gauss: Structural role preserving network embedding via Gaussian embedding

Xin Du, Mykola Pechenizkiy, George Fletcher, 2020, Data Mining and Knowledge Discovery.