Overview and insight into the MONICA research group. - Adrián Pekár; Martin Révés; Juraj Giertl; Peter Fecilak (Central Eur. J. Comput. Sci., 2012)

Optimalizácia monitorovania sieťovej prevádzky. - Frantisek Jakab; Adrián Pekár; Peter Fecilak; Miroslav Michalko (Acta Informatica Pragensia, 2013)

Adaptive Aggregation of Flow Records. - Adrián Pekár; Martin Chovanec; Liberios Vokorokos; Eva Chovancová; Peter Fecilak; Miroslav Michalko (Comput. Informatics, 2018)

Scalable Architecture for SDN Traffic Classification. - Matthew Hayes; Bryan C. K. Ng; Adrián Pekár; Winston K. G. Seah (IEEE Syst. J., 2018)

Angular Histogram-Based Visualisation of Network Traffic Flow Measurement Data. - Adrián Pekár; Mona B. H. Ruan; Winston K. G. Seah (AINA, 2019)

Traffic Classification with Machine Learning in a Live Network. - Jarrod N. Bakker; Bryan C. K. Ng; Winston K. G. Seah; Adrián Pekár (IM, 2019)

Heavy-Hitter Flow Identification in Data Centre Networks Using Packet Size Distribution and Template Matching. - Alejandra Duque-Torres; Adrián Pekár; Winston K. G. Seah; Oscar Maurício Caicedo Rendón (LCN, 2019)

Smart User Consumption Profiling: Incremental Learning-Based OTT Service Degradation. - Juan Sebastián Rojas; Adrián Pekár; Álvaro Rendón Gallón; Juan Carlos Corrales (IEEE Access, 2020)

A non-intrusive Smart metering system: Analytics and simulation of power consumption. - Peter Fecilak; Adrián Pekár; Norbert Ádám; Anton Baláz; Eva Chovancová (Concurr. Comput. Pract. Exp., 2020)

Application Domain-Based Overview of IoT Network Traffic Characteristics. - Adrián Pekár; Jozef Mocnej; Winston K. G. Seah; Iveta Zolotová (ACM Comput. Surv., 2021)

Knowledge Discovery: Can It Shed New Light on Threshold Definition for Heavy-Hitter Detection? - Adrián Pekár; Alejandra Duque-Torres; Winston K. G. Seah; Oscar M. Caicedo (J. Netw. Syst. Manag., 2021)

Quality-enabled decentralized IoT architecture with efficient resources utilization. - Jozef Mocnej; Adrián Pekár; Winston K. G. Seah; Peter Papcun; Erik Kajati; Dominika Cupkova; Jirí Koziorek; Iveta Zolotová (Robotics Comput. Integr. Manuf., 2021)

NFStream: A flexible network data analysis framework. - Zied Aouini; Adrián Pekár (Comput. Networks, 2022)

Towards threshold-agnostic heavy-hitter classification. - Adrián Pekár; Alejandra Duque-Torres; Winston K. G. Seah; Oscar Maurício Caicedo Rendón (Int. J. Netw. Manag., 2022)

Public transport congestion detection using incremental learning. - Laszlo A. Makara; Petar Maric; Adrián Pekár (Pervasive Mob. Comput., 2023)

Simple Heuristics as a Viable Alternative to Machine Learning-Based Anomaly Detection in Industrial IoT. - Balint Bicski; Károly Farkas; Adrián Pekár (IEEE Internet Things Mag., 2023)

Early Detection of Network Service Degradation: An Intra-Flow Approach. - Balint Bicski; Adrián Pekár (CNSM, 2024)

Unveiling Latency-Induced Service Degradation: A Methodological Approach With Dataset. - Balint Bicski; Adrián Pekár (IEEE Access, 2024)

Evaluating ML-based anomaly detection across datasets of varied integrity: A case study. - Adrián Pekár; Richard Jozsa (Comput. Networks, 2024)

Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial Flows. - Adrián Pekár; Richard Jozsa (CoRR, 2024)

P4toNFV: Offloading from P4 switches to NFV in programmable data planes. - Adrián Pekár; Laszlo A. Makara; Yuan-Cheng Lai; Ying-Dar Lin; Winston Seah (Int. J. Commun. Syst., 2024)

Integrating the Skies for 6G: Techno-Economic Considerations of LEO, HAPS, and UAV Technologies. - László Toka; Márk Konrád; Adrián Pekár; Gergely Biczók (IEEE Commun. Mag., 2024)

Incremental federated learning for traffic flow classification in heterogeneous data scenarios. - Adrián Pekár; Árpád László Makara; Gergely Biczók (Neural Comput. Appl., 2024)

AutoFlow: An Autoencoder-Based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification. - Adrián Pekár (NOMS, 2025)

VPN Traffic Analysis: A Survey on Detection and Application Identification. - Yasameen Sajid Razooqi; Adrián Pekár (IEEE Access, 2025)

Binary VPN Traffic Detection Using Wavelet Features and Machine Learning. - Yasameen Sajid Razooqi; Adrián Pekár (CoRR, 2025)