Wikipedia-Based Kernels for Text Categorization. - Zsolt Minier; Zalán Bodó; Lehel Csató (SYNASC, 2007)

Hierarchical and Reweighting Cluster Kernels for Semi-Supervised Learning. - Zalán Bodó; Lehel Csató (Int. J. Comput. Commun. Control, 2010)

Active Learning with Clustering. - Zalán Bodó; Zsolt Minier; Lehel Csató (Active Learning and Experimental Design @ AISTATS, 2011)

Improving kernel locality-sensitive hashing using pre-images and bounds. - Zalán Bodó; Lehel Csató (IJCNN, 2012)

Augmented hashing for semi-supervised scenarios. - Zalán Bodó; Lehel Csató (ESANN, 2014)

Linear spectral hashing. - Zalán Bodó; Lehel Csató (Neurocomputing, 2014)

Software Categorization Using Low-Level Distributional Features. - Zalán Bodó; Bipin Indurkhya (SoMeT, 2017)

A CiteSeerX-Based Dataset for Record Linkage and Metadata Extraction. - Zalán Bodó (SYNASC, 2018)

On the impact of domain-specific knowledge in evolutionary music composition. - Csaba Sulyok; Christopher Harte; Zalán Bodó (GECCO, 2019)

Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks. - Anna Kiss; Csaba Sulyok; Zalán Bodó (ICANN (4), 2019)

Fake News Detection Without External Knowledge. - Zalán Bodó (MDIS, 2020)

Validating static call graph-based malware signatures using community detection methods. - Attila Mester; Zalán Bodó (ESANN, 2021)

Feature axes orthogonalization in semantic face editing. - László Antal; Zalán Bodó (ICCP, 2021)

Compilation and Validation of a Large Fake News Dataset in Hungarian. - Mihály Gencsi; Zalán Bodó; Annamária Szenkovits (SISY, 2021)

Malware Classification Based on Graph Convolutional Neural Networks and Static Call Graph Features. - Attila Mester; Zalán Bodó (IEA/AIE, 2022)

Towards a Malware Family Classification Model Using Static Call Graph Instruction Visualization. - Attila Mester; Zalán Bodó; P. Vinod 001; Mauro Conti (NSS, 2024)