Katarzyna Musial

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 88

Top Venues

Publications

David Jacob Kedziora, Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning. Expert Syst. Appl. 239 (2024)
Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
Automated Deep Learning: Neural Architecture Search Is Not the End. Found. Trends Mach. Learn. 17 (5) (2024)
Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
On the Effectiveness of Heterogeneous Ensembles Combining Graph Neural Networks and Heuristics for Dynamic Link Prediction. IEEE Trans. Netw. Sci. Eng. 11 (4) (2024)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
DTCNS: A python toolbox for digital twin-oriented complex networked systems. SoftwareX 27 (2024)
Abida Sadaf, Luke Mathieson, Piotr Bródka, Katarzyna Musial
A bridge between influence models and control methods. Appl. Netw. Sci. 9 (1) (2024)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators. FUZZ (2024)
Joakim Skarding, Matthew Hellmich, Bogdan Gabrys, Katarzyna Musial
Corrections to "A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction". IEEE Access 12 (2024)
David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. Found. Trends Mach. Learn. 17 (4) (2024)
Michal Czuba, Mateusz Nurek, Damian Serwata, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musial, Radoslaw Michalski, Piotr Bródka
Network Diffusion - Framework to Simulate Spreading Processes in Complex Networks. CoRR (2024)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems. CoRR (2023)
Alexander Scriven, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry. Found. Trends Inf. Syst. 7 (1-2) (2023)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Review and Assessment of Digital Twin-Oriented Social Network Simulators. CoRR (2023)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous node features and interaction rules. CoRR (2023)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Review and Assessment of Digital Twin-Oriented Social Network Simulators. IEEE Access 11 (2023)
Adrian Wilkins-Caruana, Madhushi Niluka Bandara, Katarzyna Musial, Daniel R. Catchpoole, Paul J. Kennedy
Inferring Actual Treatment Pathways from Patient Records. CoRR (2023)
Mingshan Jia, Pasquale De Meo, Bogdan Gabrys, Katarzyna Musial
Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia. CoRR (2023)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
A Network Science Perspective of Graph Convolutional Networks: A Survey. IEEE Access 11 (2023)
Adrian Caruana, Madhushi Niluka Bandara, Katarzyna Musial, Daniel R. Catchpoole, Paul J. Kennedy
Machine learning for administrative health records: A systematic review of techniques and applications. Artif. Intell. Medicine 144 (2023)
Adrian Wilkins-Caruana, Madhushi Niluka Bandara, Katarzyna Musial, Daniel R. Catchpoole, Paul J. Kennedy
Inferring actual treatment pathways from patient records. J. Biomed. Informatics 148 (2023)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
A Network Science perspective of Graph Convolutional Networks: A survey. CoRR (2023)
Adrian Caruana, Madhushi Niluka Bandara, Katarzyna Musial, Daniel R. Catchpoole, Paul J. Kennedy
Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications. CoRR (2023)
Joakim Skarding, Matthew Hellmich, Bogdan Gabrys, Katarzyna Musial
A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction. IEEE Access 10 (2022)
Abida Sadaf, Luke Mathieson, Piotr Bródka, Katarzyna Musial
Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds. CoRR (2022)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
Measuring Quadrangle Formation in Complex Networks. IEEE Trans. Netw. Sci. Eng. 9 (2) (2022)
Mingshan Jia, Maité Van Alboom, Liesbet Goubert, Piet Bracke, Bogdan Gabrys, Katarzyna Musial
Analysing Egocentric Networks via Local Structure and Centrality Measures: A Study on Chronic Pain Patients. ICOIN (2022)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. CoRR (2022)
Alexander Scriven, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry. CoRR (2022)
Alireza Ahadi, Kirsty Kitto, Marian-Andrei Rizoiu, Katarzyna Musial
Skills Taught vs Skills Sought: Using Skills Analytics to Identify the Gaps between Curriculum and Job Markets. EDM (2022)
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. IEEE Access 10 (2022)
Abida Sadaf, Luke Mathieson, Piotr Bródka, Katarzyna Musial
Maximising Influence Spread in Complex Networks by Utilising Community-Based Driver Nodes as Seeds. SIMBig (2022)
Yingkui Wang, Di Jin, Dongxiao He, Katarzyna Musial, Jianwu Dang
Community Detection in Social Networks Considering Social Behaviors. IEEE Access 10 (2022)
David Jacob Kedziora, Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning. CoRR (2022)
Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Deb Verhoeven, Katarzyna Musial, Gerhard Hambusch, Samir Ghannam, Mikhail Shashnov
Net effects: examining strategies for women's inclusion and influence in ASX200 company boards. Appl. Netw. Sci. 7 (1) (2022)
Mingshan Jia, Maité Van Alboom, Liesbet Goubert, Piet Bracke, Bogdan Gabrys, Katarzyna Musial
Analysing Ego-Networks via Typed-Edge Graphlets: A Case Study of Chronic Pain Patients. COMPLEX NETWORKS (2021)
Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. IJCNN (2021)
Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. CoRR (2021)
Abida Sadaf, Luke Mathieson, Katarzyna Musial
An insight into network structure measures and number of driver nodes. ASONAM (2021)
Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin
A block-based generative model for attributed network embedding. World Wide Web 24 (5) (2021)
Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation. Expert Syst. Appl. 185 (2021)
Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
Automated Deep Learning: Neural Architecture Search Is Not the End. CoRR (2021)
Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo
A Scalable Redefined Stochastic Blockmodel. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey. IEEE Access 9 (2021)
Xueyan Liu, Wenzhuo Song, Wanli Zuo, Katarzyna Musial, Bo Yang
A Block-based Generative Model for Attributed Networks Embedding. CoRR (2020)
Usman Naseem, Imran Razzak, Peter W. Eklund, Katarzyna Musial
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm. IJCNN (2020)
Usman Naseem, Imran Razzak, Katarzyna Musial, Muhammad Imran
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis. Future Gener. Comput. Syst. 113 (2020)
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD (2020)
Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. AAAI (2020)
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. IDA (2020)
Kirsty Kitto, Nikhil Sarathy, Aleksandr Gromov, Ming Liu, Katarzyna Musial, Simon Buckingham Shum
Towards skills-based curriculum analytics: can we automate the recognition of prior learning? LAK (2020)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
Closure Coefficient in Complex Directed Networks. COMPLEX NETWORKS (1) (2020)
David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. CoRR (2020)
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. CoRR (2020)
Xueyan Liu, Wenzhuo Song, Katarzyna Musial, Xuehua Zhao, Wanli Zuo, Bo Yang
Semi-supervised stochastic blockmodel for structure analysis of signed networks. Knowl. Based Syst. 195 (2020)
Piotr Bródka, Katarzyna Musial, Jaroslaw Jankowski
Interacting Spreading Processes in Multilayer Networks: A Systematic Review. IEEE Access 8 (2020)
Di Jin, Binbin Zhang, Yue Song, Dongxiao He, Zhiyong Feng, Shizhan Chen, Weihao Li, Katarzyna Musial
ModMRF: A modularity-based Markov Random Field method for community detection. Neurocomputing 405 (2020)
Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys
NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size. CoRR (2020)
Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey. CoRR (2020)
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
Measuring Quadrangle Formation in Complex Networks. CoRR (2020)
Tien-Dung Nguyen, Bogdan Gabrys, Katarzyna Musial
AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation. CoRR (2020)
Usman Naseem, Katarzyna Musial, Peter W. Eklund, Mukesh Prasad
Biomedical Named-Entity Recognition by Hierarchically Fusing BioBERT Representations and Deep Contextual-Level Word-Embedding. IJCNN (2020)
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. CoRR (2020)
Aleksandr Gromov, Andrei Maslennikov, Nikolas Dawson, Katarzyna Musial, Kirsty Kitto
Curriculum profile: modelling the gaps between curriculum and the job market. EDM (2020)
Katarzyna Musial, Piotr Bródka, Pasquale De Meo
Analysis and Applications of Complex Social Networks 2018. Complex. 2019 (2019)
Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang
Community Detection in Social Networks Considering Topic Correlations. AAAI (2019)
Santhilata Kuppili Venkata, Katarzyna Musial
Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment. CoRR (2019)
Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang
Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities. CIKM (2019)
Usman Naseem, Katarzyna Musial
DICE: Deep Intelligent Contextual Embedding for Twitter Sentiment Analysis. ICDAR (2019)
Piotr Bródka, Katarzyna Musial, Jaroslaw Jankowski
Interacting spreading processes in multilayer networks. CoRR (2019)
Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial
Simulation and Augmentation of Social Networks for Building Deep Learning Models. CoRR (2019)
Shaheen A. Abdulkareem, Ellen-Wien Augustijn, Katarzyna Musial, Yaseen T. Mustafa, Tatiana Filatova
The Impact of Social Versus Individual Learning for Agents' Risk Perception During Epidemics. eScience (2018)
Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial
NetSim - The framework for complex network generator. CoRR (2018)
Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial
NetSim - The framework for complex network generator. KES (2018)
Deb Verhoeven, Katarzyna Musial, Stuart Palmer, Sarah Taylor, Lachlan Simpson, Vejune Zemaityte, Shaukat R. Abidi
Solving the Problem of the "Gender Offenders": Using Criminal Network Analysis to Optimize Openness in Male Dominated Collaborative Networks. DH (2018)
Lucy Kendrick, Katarzyna Musial, Bogdan Gabrys
Change point detection in social networks - Critical review with experiments. Comput. Sci. Rev. 29 (2018)
Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
Robust Detection of Communities with Multi-semantics in Large Attributed Networks. KSEM (1) (2018)
Adam Butler, Guandong Xu, Katarzyna Musial
Research Performance Reporting is Fallacious. BESC (2018)
Fei Gao, Katarzyna Musial, Bogdan Gabrys
A Community Bridge Boosting Social Network Link Prediction Model. ASONAM (2017)
Katarzyna Musial, Piotr Bródka, Pasquale De Meo
Analysis and Applications of Complex Social Networks. Complex. 2017 (2017)
Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
Adaptive Community Detection Incorporating Topology and Content in Social Networks. ASONAM (2017)
Santhilata Kuppili Venkata, Katarzyna Musial, Samhar Mahmoud, Jeroen Keppens
Demonstration: Multi-agent System for Distributed Cache Maintenance. PAAMS (2017)
Santhilata Kuppili Venkata, Katarzyna Musial, Samhar Mahmoud, Jeroen Keppens
Multi-Agent System for Distributed Cache Maintenance. PAAMS (2017)
Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko
Learning in unlabeled networks - An active learning and inference approach. AI Commun. 29 (1) (2016)
Sarvar Abdullaev, Peter McBurney, Katarzyna Musial
Pricing Options with Portfolio-Holding Trading Agents in Direct Double Auction. ECAI (2016)
Katarzyna Musial, Piotr Bródka, Matteo Magnani
Social Network Analysis in Applications. AI Commun. 29 (1) (2016)
Fei Gao, Katarzyna Musial, Colin Cooper, Sophia Tsoka
Link Prediction Methods and Their Accuracy for Different Social Networks and Network Metrics. Sci. Program. 2015 (2015)
Santhilata Kuppili Venkata, Jeroen Keppens, Katarzyna Musial
Agent Based Simulation to Evaluate Adaptive Caching in Distributed Databases. EUMAS/AT (2015)
Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko
Learning in Unlabeled Networks - An Active Learning and Inference Approach. CoRR (2015)
Katarzyna Musial, Piotr Bródka, Przemyslaw Kazienko, Jaroslaw Gaworecki
Extraction of Multi-layered Social Networks from Activity Data. CoRR (2014)
Sarvar Abdullaev, Peter McBurney, Katarzyna Musial
Direct Exchange Mechanisms for Option Pricing. EUMAS (2014)
Dariusz Król, Marcin Budka, Katarzyna Musial
Simulating the Information Diffusion Process in Complex Networks Using Push and Pull Strategies. ENIC (2014)
Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz
Multidimensional Social Network in the Social Recommender System CoRR (2013)
Marcin Budka, Krzysztof Juszczyszyn, Katarzyna Musial, Anna Musial
Molecular model of dynamic social network based on e-mail communication. Soc. Netw. Anal. Min. 3 (3) (2013)
Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko
Active learning and inference method for within network classification. ASONAM (2013)
Katarzyna Musial, Marcin Budka, Krzysztof Juszczyszyn
Creation and growth of online social network - How do social networks evolve? World Wide Web 16 (4) (2013)
Katarzyna Musial, Przemyslaw Kazienko
Social networks on the Internet. World Wide Web 16 (1) (2013)
Katarzyna Musial, Bogdan Gabrys, Marcin Buczko
What kind of network are you?: using local and global characteristics in network categorisation tasks. ASONAM (2013)
Katarzyna Musial, Przemyslaw Kazienko, Tomasz Kajdanowicz
Social Recommendations within the Multimedia Sharing Systems CoRR (2013)
Piotr Bródka, Krzysztof Skibicki, Przemyslaw Kazienko, Katarzyna Musial
A degree centrality in multi-layered social network CoRR (2012)
Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial
Next challenges for adaptive learning systems. SIGKDD Explor. 14 (1) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Katarzyna Musial