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ORCIDKatarzyna Musial
Katarzyna Musial-Gabrys – Katarzyna Musiał
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- unicode name: Katarzyna Musiał
- affiliation: University of Technology Sydney, Australia
- affiliation: King's College London, Department of Informatics
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2020 – today
- 2024
[j45]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: 6912-6913 (2024)- [j44]Abida Sadaf, Luke Mathieson, Piotr Bródka, Katarzyna Musial:
A bridge between influence models and control methods. Appl. Netw. Sci. 9(1): 38 (2024) - [j43]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: 122359 (2024) - [j42]David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. Found. Trends Mach. Learn. 17(4): 590-766 (2024) - [j41]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): 767-920 (2024) - [j40]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
DTCNS: A python toolbox for digital twin-oriented complex networked systems. SoftwareX 27: 101818 (2024) - [j39]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): 3250-3259 (2024) - [c62]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators. FUZZ 2024: 1-8 - [i34]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 abs/2405.18085 (2024) - [i33]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems. CoRR abs/2411.06148 (2024) - [i32]Katarzyna Musial, Jiaqi Wen, Andreas Gwyther-Gouriotis:
How the use of feature selection methods influences the efficiency and accuracy of complex network simulations. CoRR abs/2412.01096 (2024) - 2023
- [j38]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
A Network Science Perspective of Graph Convolutional Networks: A Survey. IEEE Access 11: 39083-39122 (2023) - [j37]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Review and Assessment of Digital Twin-Oriented Social Network Simulators. IEEE Access 11: 97503-97521 (2023) - [j36]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: 102642 (2023) - [j35]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): 1-252 (2023) - [j34]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: 104554 (2023) - [i31]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
A Network Science perspective of Graph Convolutional Networks: A survey. CoRR abs/2301.04824 (2023) - [i30]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Review and Assessment of Digital Twin-Oriented Social Network Simulators. CoRR abs/2305.03234 (2023) - [i29]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous node features and interaction rules. CoRR abs/2308.11034 (2023) - [i28]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 abs/2308.14216 (2023) - [i27]Adrian Wilkins-Caruana, Madhushi Niluka Bandara, Katarzyna Musial, Daniel R. Catchpoole, Paul J. Kennedy:
Inferring Actual Treatment Pathways from Patient Records. CoRR abs/2309.01897 (2023) - [i26]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems. CoRR abs/2309.13229 (2023) - [i25]Mingshan Jia, Pasquale De Meo, Bogdan Gabrys, Katarzyna Musial:
Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia. CoRR abs/2310.09987 (2023) - 2022
- [j33]Joakim Skarding, Matthew Hellmich, Bogdan Gabrys, Katarzyna Musial:
A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction. IEEE Access 10: 64146-64160 (2022) - [j32]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. IEEE Access 10: 66886-66923 (2022) - [j31]Yingkui Wang, Di Jin, Dongxiao He, Katarzyna Musial, Jianwu Dang:
Community Detection in Social Networks Considering Social Behaviors. IEEE Access 10: 109969-109982 (2022) - [j30]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): 48 (2022) - [j29]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): 3634-3646 (2022) - [j28]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
Measuring Quadrangle Formation in Complex Networks. IEEE Trans. Netw. Sci. Eng. 9(2): 538-551 (2022) - [c61]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 - [c60]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: 152-157 - [c59]Abida Sadaf, Luke Mathieson, Piotr Bródka, Katarzyna Musial:
Maximising Influence Spread in Complex Networks by Utilising Community-Based Driver Nodes as Seeds. SIMBig 2022: 126-141 - [i24]Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. CoRR abs/2202.09363 (2022) - [i23]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 abs/2208.04376 (2022) - [i22]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 abs/2211.04148 (2022) - [i21]Abida Sadaf, Luke Mathieson, Piotr Bródka, Katarzyna Musial:
Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds. CoRR abs/2212.11611 (2022) - 2021
- [j27]Joakim Skarding, Bogdan Gabrys, Katarzyna Musial:
Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey. IEEE Access 9: 79143-79168 (2021) - [j26]Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys:
AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation. Expert Syst. Appl. 185: 115643 (2021) - [j25]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): 46:1-46:28 (2021) - [j24]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): 1439-1464 (2021) - [c58]Abida Sadaf, Luke Mathieson, Katarzyna Musial:
An insight into network structure measures and number of driver nodes. ASONAM 2021: 471-478 - [c57]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: 514-526 - [c56]Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. IJCNN 2021: 1-8 - [i20]Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. CoRR abs/2105.00282 (2021) - [i19]Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Automated Deep Learning: Neural Architecture Search Is Not the End. CoRR abs/2112.09245 (2021) - 2020
- [j23]Piotr Bródka, Katarzyna Musial, Jaroslaw Jankowski:
Interacting Spreading Processes in Multilayer Networks: A Systematic Review. IEEE Access 8: 10316-10341 (2020) - [j22]Usman Naseem, Imran Razzak, Katarzyna Musial, Muhammad Imran:
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis. Future Gener. Comput. Syst. 113: 58-69 (2020) - [j21]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: 218-228 (2020) - [j20]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: 105714 (2020) - [c55]Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang:
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. AAAI 2020: 989-996 - [c54]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
Closure Coefficient in Complex Directed Networks. COMPLEX NETWORKS (1) 2020: 62-74 - [c53]Aleksandr Gromov, Andrei Maslennikov, Nikolas Dawson, Katarzyna Musial, Kirsty Kitto:
Curriculum profile: modelling the gaps between curriculum and the job market. EDM 2020 - [c52]Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys:
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. IDA 2020: 352-365 - [c51]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: 1-8 - [c50]Usman Naseem, Imran Razzak, Peter W. Eklund, Katarzyna Musial:
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm. IJCNN 2020: 1-7 - [c49]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: 1503-1511 - [c48]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: 171-180 - [i18]Xueyan Liu, Wenzhuo Song, Wanli Zuo, Katarzyna Musial, Bo Yang:
A Block-based Generative Model for Attributed Networks Embedding. CoRR abs/2001.01383 (2020) - [i17]Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys:
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. CoRR abs/2001.11158 (2020) - [i16]Joakim Skarding, Bogdan Gabrys, Katarzyna Musial:
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey. CoRR abs/2005.07496 (2020) - [i15]Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial:
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. CoRR abs/2006.01963 (2020) - [i14]Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys:
NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size. CoRR abs/2009.00437 (2020) - [i13]Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
Measuring Quadrangle Formation in Complex Networks. CoRR abs/2011.10763 (2020) - [i12]Tien-Dung Nguyen, Bogdan Gabrys, Katarzyna Musial:
AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation. CoRR abs/2011.11846 (2020) - [i11]David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. CoRR abs/2012.12600 (2020)
2010 – 2019
- 2019
- [j19]Katarzyna Musial, Piotr Bródka, Pasquale De Meo:
Analysis and Applications of Complex Social Networks 2018. Complex. 2019: 9082573:1-9082573:2 (2019) - [c47]Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang:
Community Detection in Social Networks Considering Topic Correlations. AAAI 2019: 321-328 - [c46]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: 1763-1772 - [c45]Usman Naseem, Katarzyna Musial:
DICE: Deep Intelligent Contextual Embedding for Twitter Sentiment Analysis. ICDAR 2019: 953-958 - [i10]Piotr Bródka, Katarzyna Musial, Jaroslaw Jankowski:
Interacting spreading processes in multilayer networks. CoRR abs/1903.05932 (2019) - [i9]Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial:
Simulation and Augmentation of Social Networks for Building Deep Learning Models. CoRR abs/1905.09087 (2019) - [i8]Santhilata Kuppili Venkata, Katarzyna Musial:
Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment. CoRR abs/1910.04991 (2019) - 2018
- [j18]Lucy Kendrick, Katarzyna Musial, Bogdan Gabrys:
Change point detection in social networks - Critical review with experiments. Comput. Sci. Rev. 29: 1-13 (2018) - [j17]Meng Qin, Di Jin, Kai Lei, Bogdan Gabrys, Katarzyna Musial-Gabrys:
Adaptive community detection incorporating topology and content in social networks✰. Knowl. Based Syst. 161: 342-356 (2018) - [c44]Adam Butler, Guandong Xu, Katarzyna Musial:
Research Performance Reporting is Fallacious. BESC 2018: 1-5 - [c43]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: 313-314 - [c42]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: 297-298 - [c41]Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial:
NetSim - The framework for complex network generator. KES 2018: 547-556 - [c40]Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial:
Robust Detection of Communities with Multi-semantics in Large Attributed Networks. KSEM (1) 2018: 362-376 - [r2]Katarzyna Musial:
Research Designs for Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i7]Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial:
NetSim - The framework for complex network generator. CoRR abs/1805.10520 (2018) - 2017
- [j16]Katarzyna Musial, Piotr Bródka, Pasquale De Meo:
Analysis and Applications of Complex Social Networks. Complex. 2017: 3014163:1-3014163:2 (2017) - [j15]Pasquale De Meo, Katarzyna Musial-Gabrys, Domenico Rosaci, Giuseppe M. L. Sarnè, Lora Aroyo:
Using Centrality Measures to Predict Helpfulness-Based Reputation in Trust Networks. ACM Trans. Internet Techn. 17(1): 8:1-8:20 (2017) - [c39]Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial:
Adaptive Community Detection Incorporating Topology and Content in Social Networks. ASONAM 2017: 675-682 - [c38]Fei Gao, Katarzyna Musial, Bogdan Gabrys:
A Community Bridge Boosting Social Network Link Prediction Model. ASONAM 2017: 683-689 - [c37]Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial-Gabrys:
Newton's Gravitational Law for Link Prediction in Social Networks. COMPLEX NETWORKS 2017: 93-104 - [c36]Santhilata Kuppili Venkata, Katarzyna Musial, Samhar Mahmoud, Jeroen Keppens:
Multi-Agent System for Distributed Cache Maintenance. PAAMS 2017: 157-169 - [c35]Santhilata Kuppili Venkata, Katarzyna Musial, Samhar Mahmoud, Jeroen Keppens:
Demonstration: Multi-agent System for Distributed Cache Maintenance. PAAMS 2017: 364-368 - 2016
- [j14]Katarzyna Musial, Piotr Bródka, Matteo Magnani:
Social Network Analysis in Applications. AI Commun. 29(1): 55-56 (2016) - [j13]Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko:
Learning in unlabeled networks - An active learning and inference approach. AI Commun. 29(1): 123-148 (2016) - [c34]Fei Gao King's, Katarzyna Musial-Gabrys:
Hybrid structure-based link prediction model. ASONAM 2016: 1221-1228 - [c33]Sarvar Abdullaev, Peter McBurney, Katarzyna Musial:
Pricing Options with Portfolio-Holding Trading Agents in Direct Double Auction. ECAI 2016: 1754-1755 - 2015
- [j12]Fei Gao, Katarzyna Musial, Colin Cooper, Sophia Tsoka:
Link Prediction Methods and Their Accuracy for Different Social Networks and Network Metrics. Sci. Program. 2015: 172879:1-172879:13 (2015) - [c32]Santhilata Kuppili Venkata, Jeroen Keppens, Katarzyna Musial:
Agent Based Simulation to Evaluate Adaptive Caching in Distributed Databases. EUMAS/AT 2015: 455-462 - [i6]Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko:
Learning in Unlabeled Networks - An Active Learning and Inference Approach. CoRR abs/1510.01270 (2015) - 2014
- [c31]Dariusz Król, Marcin Budka, Katarzyna Musial:
Simulating the Information Diffusion Process in Complex Networks Using Push and Pull Strategies. ENIC 2014: 1-8 - [c30]Sarvar Abdullaev, Peter McBurney, Katarzyna Musial:
Direct Exchange Mechanisms for Option Pricing. EUMAS 2014: 269-284 - [r1]Katarzyna Musial:
Research Designs for Social Network Analysis. Encyclopedia of Social Network Analysis and Mining 2014: 1576-1582 - [i5]Katarzyna Musial, Piotr Bródka, Przemyslaw Kazienko, Jaroslaw Gaworecki:
Extraction of Multi-layered Social Networks from Activity Data. CoRR abs/1407.1056 (2014) - 2013
- [j11]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): 543-563 (2013) - [j10]Katarzyna Musial, Przemyslaw Kazienko:
Social networks on the Internet. World Wide Web 16(1): 31-72 (2013) - [j9]Katarzyna Musial, Marcin Budka, Krzysztof Juszczyszyn:
Creation and growth of online social network - How do social networks evolve? World Wide Web 16(4): 421-447 (2013) - [c29]Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko:
Active learning and inference method for within network classification. ASONAM 2013: 1299-1306 - [c28]Katarzyna Musial, Bogdan Gabrys, Marcin Buczko:
What kind of network are you?: using local and global characteristics in network categorisation tasks. ASONAM 2013: 1366-1373 - [i4]Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz:
Multidimensional Social Network in the Social Recommender System. CoRR abs/1303.0093 (2013) - [i3]Katarzyna Musial, Przemyslaw Kazienko, Tomasz Kajdanowicz:
Social Recommendations within the Multimedia Sharing Systems. CoRR abs/1303.0284 (2013) - 2012
- [j8]Piotr Bródka, Przemyslaw Kazienko, Katarzyna Musial, Krzysztof Skibicki:
Analysis of Neighbourhoods in Multi-layered Dynamic Social Networks. Int. J. Comput. Intell. Syst. 5(3): 582-596 (2012) - [j7]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): 48-55 (2012) - [c27]Krzysztof Juszczyszyn, Adam Gonczarek, Jakub M. Tomczak, Katarzyna Musial, Marcin Budka:
A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks. ASONAM 2012: 996-1001 - [c26]Marcin Budka, Katarzyna Musial, Krzysztof Juszczyszyn:
Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy. SocialCom/PASSAT 2012: 21-30 - [i2]Piotr Bródka, Przemyslaw Kazienko, Katarzyna Musial, Krzysztof Skibicki:
Analysis of Neighbourhoods in Multi-layered Dynamic Social Networks. CoRR abs/1207.4293 (2012) - [i1]Piotr Bródka, Krzysztof Skibicki, Przemyslaw Kazienko, Katarzyna Musial:
A degree centrality in multi-layered social network. CoRR abs/1210.5184 (2012) - 2011
- [j6]Marcin Budka, Bogdan Gabrys, Katarzyna Musial:
On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling. Entropy 13(7): 1229-1266 (2011) - [j5]Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz:
Multidimensional Social Network in the Social Recommender System. IEEE Trans. Syst. Man Cybern. Part A 41(4): 746-759 (2011) - [c25]Krzysztof Juszczyszyn, Marcin Budka, Katarzyna Musial:
The Dynamic Structural Patterns of Social Networks Based on Triad Transitions. ASONAM 2011: 581-586 - [c24]Piotr Bródka, Krzysztof Skibicki, Przemyslaw Kazienko, Katarzyna Musial:
A degree centrality in multi-layered social network. CASoN 2011: 237-242 - [c23]Przemyslaw Kazienko, Katarzyna Musial, Elzbieta Kukla, Tomasz Kajdanowicz, Piotr Bródka:
Multidimensional Social Network: Model and Analysis. ICCCI (1) 2011: 378-387 - [c22]Przemyslaw Kazienko, Elzbieta Kukla, Katarzyna Musial, Tomasz Kajdanowicz, Piotr Bródka, Jaroslaw Gaworecki:
A Generic Model for a Multidimensional Temporal Social Network. ICeND 2011: 1-14 - [c21]