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2020 – today
- 2024
[j34]Marek Pawlicki
:
ARIA, HaRIA, and GeRIA: Novel Metrics for Pre-Model Interpretability. IEEE Access 12: 123561-123580 (2024)- [j33]Rafal Kozik, Massimo Ficco, Aleksandra Pawlicka, Marek Pawlicki, Francesco Palmieri, Michal Choras:
When explainability turns into a threat - using xAI to fool a fake news detection method. Comput. Secur. 137: 103599 (2024) - [j32]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity. Neurocomputing 590: 127759 (2024) - [j31]Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello, Sebastian Szelest, Salvatore D'Antonio, Rafal Kozik, Michal Choras:
Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination. Neurocomputing 602: 128282 (2024) - [j30]Rafal Kozik, Gracjan Katek, Marta Gackowska, Sebastian Kula, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case. Neurocomputing 608: 128450 (2024) - [j29]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Agnieszka Andrychowicz-Trojanowska, Michal Choras:
AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection. Inf. Sci. 679: 121097 (2024) - [j28]Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras, Wojciech Mazurczyk, Krzysztof Cabaj:
A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods. IEEE Trans. Comput. Soc. Syst. 11(4): 5219-5229 (2024) - [c65]Mikolaj Komisarek, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Aleksandra Pawlicka, Michal Choras:
Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis. ARES 2024: 93:1-93:8 - [c64]Marek Pawlicki, Damian Puchalski, Sebastian Szelest, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Introducing a Multi-Perspective xAI Tool for Better Model Explainability. ARES 2024: 95:1-95:8 - [c63]Damian Puchalski, Marek Pawlicki, Rafal Kozik, Rafal Renk, Michal Choras:
Trustworthy AI-based Cyber-Attack Detector for Network Cyber Crime Forensics. ARES 2024: 97:1-97:8 - [c62]Rafal Kozik, Damian Puchalski, Aleksandra Pawlicka, Szymon Bus, Jakub Glówka, Krishna Chandramouli, Marco Tiemann, Marek Pawlicki, Rafal Renk, Michal Choras:
ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization. ACIIDS (2) 2024: 44-55 - [c61]Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras:
A Novel Approach to the Use of Explainability to Mine Network Intrusion Detection Rules. ACIIDS (1) 2024: 70-81 - [c60]Gracjan Katek, Marta Gackowska, Joanna Komorniczak, Pawel Ksieniewicz, Rafal Kozik, Marek Pawlicki, Michal Choras:
Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment. ACIIDS (2) 2024: 384-395 - [c59]Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras:
Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors. ACR 2024: 244-255 - [c58]Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras:
An Innovative Approach to Real-Time Concept Drift Detection in Network Security. EIDWT 2024: 130-139 - [c57]Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras:
Comparative Analysis of AI-Based Methods for Enhancing Cybersecurity Monitoring Systems. ICCSA (Workshops 2) 2024: 100-112 - [c56]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity. SecTL@AsiaCCS 2024: 1-7 - 2023
- [j27]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras:
What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics. IEEE Access 11: 58796-58807 (2023) - [j26]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT. Neurocomputing 551: 126533 (2023) - [j25]Aleksandra Pawlicka, Renata Tomaszewska, Ewa Krause, Dagmara Jaroszewska-Choras, Marek Pawlicki, Michal Choras:
Has the pandemic made us more digitally literate?: Innovative association rule mining study of the relationships between shifts in digital skills and cybersecurity awareness occurring whilst working remotely during the COVID-19 pandemic. J. Ambient Intell. Humaniz. Comput. 14(11): 14721-14731 (2023) - [j24]Aleksandra Pawlicka, Michal Choras, Rafal Kozik, Marek Pawlicki:
First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions. Pers. Ubiquitous Comput. 27(2): 193-202 (2023) - [j23]Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Deep Learning for Combating Misinformation in Multicategorical Text Contents. Sensors 23(24): 9666 (2023) - [j22]Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras:
The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection. Vietnam. J. Comput. Sci. 10(1): 1-23 (2023) - [c55]Mikolaj Komisarek, Marek Pawlicki, Tomi Simic, David Kavcnik, Rafal Kozik, Michal Choras:
Modern NetFlow network dataset with labeled attacks and detection methods. ARES 2023: 47:1-47:8 - [c54]Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik:
How to Navigate the Uncharted Waters of Cyberwar. AMCIS 2023 - [c53]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes. CISIM 2023: 283-297 - [c52]Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
SWAROG Project Approach to Fake News Detection Problem. CISIS-ICEUTE 2023: 79-88 - [c51]Marek Pawlicki, Aleksandra Pawlicka, Mscislaw Srutek, Rafal Kozik, Michal Choras:
Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems. CORES/IP&C 2023: 45-53 - [c50]Aleksandra Pawlicka, Damian Puchalski, Marek Pawlicki, Rafal Kozik, Michal Choras:
How to secure the IoT-based surveillance systems in an ELEGANT way. CSR 2023: 636-640 - [c49]Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models. DSAA 2023: 1-9 - [c48]Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Model Stitching Algorithm for Fake News Detection Problem. DSAA 2023: 1-7 - [c47]Marek Pawlicki:
Towards Quality Measures for xAI algorithms: Explanation Stability. DSAA 2023: 1-10 - [c46]Michal Choras, Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Marek Pawlicki:
Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce. ESORICS Workshops (1) 2023: 167-181 - [c45]Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras:
Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach. ICAI (2) 2023: 236-246 - [c44]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras:
The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse. ICAI (1) 2023: 317-327 - [c43]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras:
The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems. ICDM (Workshops) 2023: 253-261 - [c42]Wiktor Kurek, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Explainable Artificial Intelligence 101: Techniques, Applications and Challenges. ICIC (4) 2023: 310-318 - [c41]Marek Pawlicki, Rafal Kozik, Michal Choras:
Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection. IJCNN 2023: 1-8 - [c40]Marek Pawlicki:
Strengths And Weaknesses of Deep, Convolutional and Recurrent Neural Networks in Network Intrusion Detection Deployments. ISD 2023 - [c39]Marek Pawlicki, Rafal Kozik, Michal Choras:
The Impact of Data Scaling Approaches on Deep Learning, Random Forest and Nearest Neighbour-Based Network Intrusion Detection Systems for DoS Detection in IoT Networks. MobiSec 2023: 197-208 - [c38]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Wiktor Kurek, Michal Choras:
How Explainable Is Explainability? Towards Better Metrics for Explainable AI. RIIFORUM 2023: 685-695 - 2022
- [j21]Vibekananda Dutta, Marek Pawlicki, Rafal Kozik, Michal Choras:
Unsupervised network traffic anomaly detection with deep autoencoders. Log. J. IGPL 30(6): 912-925 (2022) - [j20]Rafal Kozik, Marek Pawlicki, Sebastian Kula, Michal Choras:
Fake news detection platform - conceptual architecture and prototype. Log. J. IGPL 30(6): 1005-1016 (2022) - [j19]Marek Pawlicki, Rafal Kozik, Michal Choras:
A survey on neural networks for (cyber-) security and (cyber-) security of neural networks. Neurocomputing 500: 1075-1087 (2022) - [j18]Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras:
Hunting cyberattacks: experience from the real backbone network. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 13(2): 128-146 (2022) - [j17]Michal Choras, Rafal Kozik, Marek Pawlicki:
Sensors and Pattern Recognition Methods for Security and Industrial Applications. Sensors 22(16): 5968 (2022) - [c37]Mikolaj Komisarek, Marek Pawlicki, Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Rafal Kozik, Michal Choras:
A novel, refined dataset for real-time Network Intrusion Detection. ARES 2022: 43:1-43:8 - [c36]Aleksandra Pawlicka, Marek Pawlicki, Rafal Renk, Rafal Kozik, Michal Choras:
The cybersecurity-related ethical issues of cloud technology and how to avoid them. ARES 2022: 56:1-56:7 - [c35]Marek Pawlicki, Rafal Kozik, Michal Choras:
Towards Deployment Shift Inhibition Through Transfer Learning in Network Intrusion Detection. ARES 2022: 58:1-58:6 - [c34]Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras:
Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees. DSAA 2022: 1-10 - [c33]Marek Pawlicki, Rafal Kozik, Michal Choras:
Comparison of neural network paradigms for their usefulness in a real-world network intrusion detection deployment and a proposed optimised approach. EICC 2022: 53-56 - [c32]Marek Pawlicki, Martin Zádník, Rafal Kozik, Michal Choras:
Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques. ICAISC (1) 2022: 82-92 - [c31]Rafal Kozik, Marek Pawlicki, Mateusz Szczepanski, Rafal Renk, Michal Choras:
Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment. ICIC (3) 2022: 257-266 - [c30]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Graph Databases and E-commerce Cybersecurity - a Match Made in Heaven? The Innovative Technology to Enhance Cyberthreat Mitigation. ISD 2022 - [c29]Marek Pawlicki, Aleksandra Pawlicka, Mikolaj Komisarek, Rafal Kozik, Michal Choras:
The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It? ISD 2022 - [c28]Rafal Kozik, Krzysztof Samp, Michal Choras, Marek Pawlicki:
Parameters Transfer Framework for Multi-domain Fake News Detection. MobiSec 2022: 85-96 - [c27]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras:
Fake News and Threats to IoT - The Crucial Aspects of Cyberspace in the Times of Cyberwar. RIIFORUM 2022: 31-38 - 2021
- [j16]Luca Caviglione, Michal Choras, Igino Corona, Artur Janicki, Wojciech Mazurczyk, Marek Pawlicki, Katarzyna Wasielewska:
Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection. IEEE Access 9: 5371-5396 (2021) - [j15]Marek Pawlicki, Ryszard S. Choras:
Preprocessing Pipelines including Block-Matching Convolutional Neural Network for Image Denoising to Robustify Deep Reidentification against Evasion Attacks. Entropy 23(10): 1304 (2021) - [j14]Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Witold Holubowicz, Michal Choras:
How to Effectively Collect and Process Network Data for Intrusion Detection? Entropy 23(11): 1532 (2021) - [j13]Michal Choras, Marek Pawlicki:
Intrusion detection approach based on optimised artificial neural network. Neurocomputing 452: 705-715 (2021) - [j12]Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras:
Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12(1): 3-19 (2021) - [j11]Rafal Kozik, Marek Pawlicki, Michal Choras:
A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment. Pattern Anal. Appl. 24(4): 1441-1449 (2021) - [j10]Aleksandra Pawlicka, Michal Choras, Marek Pawlicki:
The stray sheep of cyberspace a.k.a. the actors who claim they break the law for the greater good. Pers. Ubiquitous Comput. 25(5): 843-852 (2021) - [j9]Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Mikolaj Komisarek, Marek Pawlicki, Witold Holubowicz, Rafal Kozik:
The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset. Sensors 21(13): 4319 (2021) - [j8]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Ryszard S. Choras:
A Systematic Review of Recommender Systems and Their Applications in Cybersecurity. Sensors 21(15): 5248 (2021) - [c26]Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras:
Network Intrusion Detection in the Wild - the Orange use case in the SIMARGL project. ARES 2021: 65:1-65:7 - [c25]Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz:
Missing and Incomplete Data Handling in Cybersecurity Applications. ACIIDS 2021: 413-426 - [c24]Marcin Kuchczynski, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter. CORES/IP&C/ACS 2021: 210-218 - [c23]Pawel Zyblewski, Marek Pawlicki, Rafal Kozik, Michal Choras:
Cyber-Attack Detection from IoT Benchmark Considered as Data Streams. CORES/IP&C/ACS 2021: 230-239 - [c22]Mikolaj Komisarek, Marek Pawlicki, Piotr Sobonski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Extending Machine Learning-Based Intrusion Detection with the Imputation Method. CORES/IP&C/ACS 2021: 284-292 - [c21]Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka:
The Methods and Approaches of Explainable Artificial Intelligence. ICCS (4) 2021: 3-17 - [c20]Mateusz Szczepanski, Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras:
The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data. ICCCI (CCIS Volume) 2021: 241-252 - [c19]Marek Pawlicki, Rafal Kozik, Damian Puchalski, Michal Choras:
Towards AI-Based Reaction and Mitigation for e-Commerce - the ENSURESEC Engine. ICIC (3) 2021: 24-31 - 2020
- [j7]Marek Pawlicki, Michal Choras, Rafal Kozik:
Defending network intrusion detection systems against adversarial evasion attacks. Future Gener. Comput. Syst. 110: 148-154 (2020) - [j6]Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik:
Detection of Cyberattacks Traces in IoT Data. J. Univers. Comput. Sci. 26(11): 1422-1434 (2020) - [j5]Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik:
A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection. Sensors 20(16): 4583 (2020) - [j4]Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Michal Choras, Marek Pawlicki:
Guidelines for Stego/Malware Detection Tools: Achieving GDPR Compliance. IEEE Technol. Soc. Mag. 39(4): 60-70 (2020) - [j3]Rafal Kozik, Michal Choras, Marek Pawlicki, Witold Holubowicz, Dirk Pallmer, Wilmuth Müller, Ernst-Josef Behmer, Ioannis V. Loumiotis, Konstantinos P. Demestichas, Roxana Horincar, Claire Laudy, David Faure:
Common Representational Model and Ontologies for Effective Law Enforcement Solutions. Vietnam. J. Comput. Sci. 7(1): 1-18 (2020) - [c18]Aleksandra Pawlicka, Michal Choras, Marek Pawlicki:
Cyberspace threats: not only hackers and criminals. Raising the awareness of selected unusual cyberspace actors - cybersecurity researchers' perspective. ARES 2020: 55:1-55:11 - [c17]Mikolaj Komisarek, Michal Choras, Rafal Kozik, Marek Pawlicki:
Real-time stream processing tool for detecting suspicious network patterns using machine learning. ARES 2020: 60:1-60:7 - [c16]Rafal Kozik, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka, Wojciech Warczak, Grzegorz Mazgaj:
Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation. CISIS 2020: 174-183 - [c15]Rafal Kozik, Michal Choras, Sebastian Kula, Marek Pawlicki:
Distributed Architecture for Fake News Detection. CISIS 2020: 208-217 - [c14]Vibekananda Dutta, Michal Choras, Rafal Kozik, Marek Pawlicki:
Hybrid Model for Improving the Classification Effectiveness of Network Intrusion Detection. CISIS 2020: 405-414 - [c13]Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz:
On the Impact of Network Data Balancing in Cybersecurity Applications. ICCS (4) 2020: 196-210 - [c12]Michal Choras, Marek Pawlicki, Damian Puchalski, Rafal Kozik:
Machine Learning - The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness? ICCS (4) 2020: 615-628 - [c11]Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Rafal Kozik:
Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j2]Rafal Kozik, Marek Pawlicki, Michal Choras, Witold Pedrycz:
Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection. Complex. 2019: 5826737:1-5826737:9 (2019) - [c10]Michal Choras, Marek Pawlicki, Rafal Kozik, Konstantinos P. Demestichas, Pavlos Kosmides, Manik Gupta:
SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation. ARES 2019: 68:1-68:10 - [c9]Michal Choras, Rafal Kozik, Marek Pawlicki, Witold Holubowicz, Xavier Franch:
Software Development Metrics Prediction Using Time Series Methods. CISIM 2019: 311-323 - [c8]Marek Pawlicki, Agata Gielczyk, Rafal Kozik, Michal Choras:
Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing. CORES 2019: 130-140 - [c7]Michal Choras, Marek Pawlicki, Rafal Kozik:
Recognizing Faults in Software Related Difficult Data. ICCS (3) 2019: 263-272 - [c6]Rafal Kozik, Michal Choras, Marek Pawlicki, Witold Holubowicz, Dirk Pallmer, Wilmuth Müller, Ernst-Josef Behmer, Ioannis V. Loumiotis, Konstantinos P. Demestichas, Roxana Horincar, Claire Laudy, David Faure:
The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case. ICCCI (2) 2019: 335-345 - [c5]Marek Pawlicki, Rafal Kozik, Michal Choras:
Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection. ICIC (1) 2019: 749-760 - [c4]Michal Choras, Marek Pawlicki, Rafal Kozik:
The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain. IDEAL (2) 2019: 353-360 - [c3]Marek Pawlicki, Adam Marchewka, Michal Choras, Rafal Kozik:
Gated Recurrent Units for Intrusion Detection. IP&C 2019: 142-148 - 2018
- [j1]Rafal Kozik, Marek Pawlicki, Michal Choras:
Cost-Sensitive Distributed Machine Learning for NetFlow-Based Botnet Activity Detection. Secur. Commun. Networks 2018: 8753870:1-8753870:8 (2018) - [c2]Marek Pawlicki, Michal Choras, Rafal Kozik:
Recent Granular Computing Implementations and its Feasibility in Cybersecurity Domain. ARES 2018: 61:1-61:6 - [c1]Rafal Kozik, Marek Pawlicki, Michal Choras:
Sparse Autoencoders for Unsupervised Netflow Data Classification. IP&C 2018: 192-199
Coauthor Index
[j33] [j32] [j31] [j30] [j29] [j28] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [j27] [j26] [j25] [j24] [j23] [j22] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c46] [c45] [c44] [c43] [c42] [c41] [c39] [c38] [j21] [j20] [j19] [j18] [j17] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [j16] [j14] [j13] [j12] [j11] [j10] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j7] [j6] [j5] [j4] [j3] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j2] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [j1] [c2] [c1]
[j33] [j32] [j31] [j30] [j29] [j28] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [j27] [j26] [j24] [j23] [j22] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c45] [c44] [c43] [c42] [c41] [c39] [c38] [j21] [j20] [j19] [j18] [j17] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [j14] [j12] [j11] [j9] [j8] [c26] [c25] [c23] [c22] [c20] [c19] [j7] [j6] [j5] [j3] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j2] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [j1] [c2] [c1]
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-10-07 22:15 CEST by the dblp team
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