CMWeb: an interactive on-line tool for analysing residue-residue contacts and contact prediction methods. - Dániel Kozma; István Simon; Gábor E. Tusnády (Nucleic Acids Res., 2012)

PDBTM: Protein Data Bank of transmembrane proteins after 8 years. - Dániel Kozma; István Simon; Gábor E. Tusnády (Nucleic Acids Res., 2013)

TMFoldRec: a statistical potential-based transmembrane protein fold recognition tool. - Dániel Kozma; Gábor E. Tusnády (BMC Bioinform., 2015)

Enhancements of the Arrowhead Framework to refine inter-cloud service interactions. - Csaba Hegedüs; Dániel Kozma; Gabor Soos; Pál Varga (IECON, 2016)

Assembling VoLTE CDRs based on network monitoring - challenges with fragmented information. - Pál Varga; Dániel Kozma; Tamas Tothfalusi (IM, 2017)

Data-Driven Workflow Execution in Service Oriented IoT Architectures. - Pál Varga; Dániel Kozma; Csaba Hegedüs (ETFA, 2018)

IoT Device Lifecycle - A Generic Model and a Use Case for Cellular Mobile Networks. - Gabor Soos; Dániel Kozma; Ferenc Nándor Janky; Pál Varga (FiCloud, 2018)

Communication Challenges and Solutions between Heterogeneous Industrial IoT Systems. - Dániel Kozma; Gábor Soós; Dániel Ficzere; Pál Varga (CNSM, 2019)

Data-driven Workflow Management by utilising BPMN and CPN in IIoT Systems with the Arrowhead Framework. - Dániel Kozma; Pál Varga; Felix Larrinaga (ETFA, 2019)

Supporting Digital Production, Product Lifecycle and Supply Chain Management in Industry 4.0 by the Arrowhead Framework - a Survey. - Dániel Kozma; Pál Varga; Gábor Soós (INDIN, 2019)

Achieving Flexible Digital Production with the Arrowhead Workflow Choreographer. - Dániel Kozma; Pál Varga; Kristóf Szabó (IECON, 2020)

Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems. - Dániel Kozma; Pál Varga; Felix Larrinaga (IEEE Trans Autom. Sci. Eng., 2021)

A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations. - Tamás Matuszka; Dániel Kozma (ACIIDS (2), 2022)

Digital Production and Supply Supported by Lifecycle Management in Industry 4.0 - Dániel Kozma (2022)