Collaborative Media Content Management. - András Ferenc Kovács; Gábor Magyar; Gábor Szücs (ISD, 2010)

City sentinel - VAST 2011 mini challenge 1 award: "Outstanding integration of computational and visual methods". - Norbert Bánfi; László Dudás; Zsolt Fekete; Julianna Göbölös-Szabó; András Lukács; Ádám Nagy; Adrienn Szabó; Zoltán Szabó 002; Gábor Szücs (IEEE VAST, 2011)

Equilibrium estimation based on unreliable information in transport networks by adaptive simulation. - Gábor Szücs (Int. J. Adv. Intell. Paradigms, 2011)

OWLAP - Using OLAP approach in anomaly detection: Award: Good support for the data preparation, analysis, and presentation process. - László Dudás; Zsolt Fekete; Julianna Göbölös-Szabó; A. Radnai; A. Salanki; A. Szabo; Gábor Szücs (IEEE VAST, 2012)

Hierarchical image browsing based on visual information. - Gábor Szücs (CogInfoCom, 2013)

BMEMTM at MediaEval 2013 Retrieving Diverse Social Images Task: Analysis of Text and Visual Information. - Gábor Szücs; Zsombor Paroczi; Dániel Máté Vincz (MediaEval, 2013)

Random Response Forest for Privacy-Preserving Classification. - Gábor Szücs (J. Comput. Eng., 2013)

Viewpoints Combined Classification Method in Image-based Plant Identification Task. - Gábor Szücs; Dávid Papp; Dániel Lovas (CLEF (Working Notes), 2014)

Re-Ranking the Image Search Results for Relevance and Diversity in MediaEval 2014 Challenge. - Zsombor Paroczi; Bálint Fodor; Gábor Szücs (MediaEval, 2014)

DCLab at MediaEval2014 Search and Hyperlinking Task. - Zsombor Paroczi; Bálint Fodor; Gábor Szücs (MediaEval, 2014)

SVM classification of moving objects tracked by Kalman filter and Hungarian method. - Gábor Szücs; Dávid Papp; Dániel Lovas (CLEF (Working Notes), 2015)

Object Detection, Classification, Tracking and individual Recognition for Sea Images and Videos. - Dávid Papp; Dániel Lovas; Gábor Szücs (CLEF (Working Notes), 2016)

Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrieval. - Bálint Pál Tóth; Márton József Tóth; Dávid Papp; Gábor Szücs (CLEF (Working Notes), 2016)

Image Matching for Individual Recognition with SIFT, RANSAC and MCL. - Dávid Papp; Ferenc Mogyorósi; Gábor Szücs (CLEF (Working Notes), 2017)

Balanced Active Learning Method for Image Classification. - Dávid Papp; Gábor Szücs (Acta Cybern., 2017)

Extended Margin and Soft Balanced Strategies in Active Learning. - Dávid Papp; Gábor Szücs (ADBIS, 2018)

Body Part Extraction and Pose Estimation Method in Rowing Videos. - Gábor Szücs; Bence Tamás (J. Comput. Inf. Technol., 2018)

Double Probability Model for Open Set Problem at Image Classification. - Dávid Papp; Gábor Szücs (Informatica, 2018)

Machine preparation for human labelling of hierarchical train sets by spectral clustering. - Dávid Papp; Gábor Szücs; Zsolt Knoll (CogInfoCom, 2019)

Difference based query strategies in active learning. - Dávid Papp; Gábor Szücs; Zsolt Knoll (SISY, 2019)

Seq2seq Deep Learning Method for Summary Generation by LSTM with Two-way Encoder and Beam Search Decoder. - Gábor Szücs; Dorottya Huszti (SISY, 2019)

Combining count- and length-based z-scores leads to improved predictions in non-invasive prenatal testing. - Jaroslav Budis; Juraj Gazdarica; Ján Radvánszky; Gábor Szücs; Marcel Kucharík; Lucia Strieskova; Iveta Gazdaricova; Maria Harsanyova; Frantisek Duris; Gabriel Minarik; Martina Sekelska; Bálint Nagy; et al. (Bioinform., 2019)

Split Feature Space Ensemble Method using Deep Reinforcement Learning for Algorithmic Trading. - Marcell Németh; Gábor Szücs (ICCTA, 2022)

Modular StoryGAN with Background and Theme Awareness for Story Visualization. - Gábor Szücs; Modafar Al-Shouha (ICPRAI (1), 2022)

Zero Initialised Unsupervised Active Learning by Optimally Balanced Entropy-Based Sampling for Imbalanced Problems. - Gábor Szücs; Dávid Papp (J. Exp. Theor. Artif. Intell., 2022)

iPIC-XAI: Improving PIC-XAI for Enhanced Image Captioning Explanation. - Modafar Al-Shouha; Gábor Szücs (CogInfoCom, 2023)

Field Experience on a Dynamic Line Rating System's Costs and Benefits. - Levente Rácz; Dávid Szabó; Gábor Göcsei; Tamás Mátrai; Bálint Németh; Gábor Szücs (IAS, 2023)

PIC-XAI: Post-hoc Image Captioning Explanation using Segmentation. - Modafar Al-Shouha; Gábor Szücs (SACI, 2023)

MiniGI: Guerilla Mappings in Miniature. - Dávid Maruscsák; Gábor Szücs; Jeanne Vézien; Christian Sandor (SIGGRAPH Asia XR, 2023)

A Multi-Agent Deep-Reinforcement Learning Approach for Application-Agnostic Microservice Scaling. - Balázs Fodor; Ákos Jakub; Gábor Szücs; Balázs Sonkoly (VCC, 2023)

2N labeling defense method against adversarial attacks by filtering and extended class label set. - Gábor Szücs; Richárd Kiss (Multim. Tools Appl., 2023)

Multiclass classification by Min-Max ECOC with Hamming distance optimization. - Gábor Szücs (Vis. Comput., 2023)

ReaL: Reassessing Softmax Score by Logits Distillation for Foundation Model Based Intent Classification. - Gábor Szücs; Modafar Al-Shouha (ISPR (1), 2024)

Single and Combined Algorithms for Open Set Classification on Image Datasets. - Modafar Al-Shouha; Gábor Szücs (Acta Cybern., 2024)

Identifying the critical nodes in multi-modal transportation network with a traffic demand-based computational method. - Longjian Wang; Shuichao Zhang; Gábor Szücs; Yonggang Wang (Reliab. Eng. Syst. Saf., 2024)

Multi-camera trajectory matching based on hierarchical clustering and constraints. - Gábor Szücs; Rego Borsodi; Dávid Papp (Multim. Tools Appl., 2024)

Distribution Controlled Clustering of Time Series Segments by Reduced Embeddings. - Gábor Szücs; Marcell Balázs Tóth; Marcell Németh (ICPRAM, 2025)

ReDiT: re-evaluating large visual question answering model confidence by defining input scenario difficulty and applying temperature mapping. - Modafar Al-Shouha; Gábor Szücs (Multim. Syst., 2025)

Domino drift effect approach for probability estimation of feature drift in high-dimensional data. - Gábor Szücs; Marcell Németh (Knowl. Inf. Syst., 2025)