Gábor Szücs - RankMe

44 papers B 1C 4Misc 3Journal 17Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient XAI in multivariate time series: Perturbation-based dynamic windows with concept and global explanations. Neurocomputing Trisna Ari Roshinta, Gábor Szücs
2026	C	`conf`	Greedy Control Group Selection for Multi-Explanatory Multi-Output Regression Problem. ICPRAM Gábor Szücs, Marcell Németh, Richárd Kiss
2025	C	`conf`	Distribution Controlled Clustering of Time Series Segments by Reduced Embeddings. ICPRAM Gábor Szücs, Marcell Balázs Tóth, Marcell Németh
2025	J	`jnl`	Domino drift effect approach for probability estimation of feature drift in high-dimensional data. Knowl. Inf. Syst. Gábor Szücs, Marcell Németh
2025	B	`conf`	Enhancing Model Transparency with Causality-Aware Surrogate Frameworks in Explainable AI. SMC Trisna Ari Roshinta, Gábor Szücs
2025	J	`jnl`	Graph Neural Network-Based Online Collaborative Filtering Using Transductive Node Embeddings. Comput. Intell. Gábor Szücs, Richárd Kiss
2025	J	`jnl`	ReDiT: re-evaluating large visual question answering model confidence by defining input scenario difficulty and applying temperature mapping. Multim. Syst. Modafar Al-Shouha, Gábor Szücs
2024	J	`jnl`	Identifying the critical nodes in multi-modal transportation network with a traffic demand-based computational method. Reliab. Eng. Syst. Saf. Longjian Wang, Shuichao Zhang, Gábor Szücs, Yonggang Wang
2024	J	`jnl`	Multi-camera trajectory matching based on hierarchical clustering and constraints. Multim. Tools Appl. Gábor Szücs, Rego Borsodi, Dávid Papp
2024	—	`conf`	ReaL: Reassessing Softmax Score by Logits Distillation for Foundation Model Based Intent Classification. ISPR (1) Gábor Szücs, Modafar Al-Shouha
2024	J	`jnl`	Single and Combined Algorithms for Open Set Classification on Image Datasets. Acta Cybern. Modafar Al-Shouha, Gábor Szücs
2024	J	`jnl`	Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding. Complex Intell. Syst. Richárd Kiss, Gábor Szücs
2023	J	`jnl`	2N labeling defense method against adversarial attacks by filtering and extended class label set. Multim. Tools Appl. Gábor Szücs, Richárd Kiss
2023	—	`conf`	A Multi-Agent Deep-Reinforcement Learning Approach for Application-Agnostic Microservice Scaling. VCC Balázs Fodor, Ákos Jakub, Gábor Szücs, Balázs Sonkoly
2023	C	`conf`	Field Experience on a Dynamic Line Rating System's Costs and Benefits. IAS Levente Rácz, Dávid Szabó, Gábor Göcsei, Tamás Mátrai, Bálint Németh, Gábor Szücs
2023	—	`conf`	MiniGI: Guerilla Mappings in Miniature. SIGGRAPH Asia XR Dávid Maruscsák, Gábor Szücs, Jeanne Vézien, Christian Sandor
2023	J	`jnl`	Multiclass classification by Min-Max ECOC with Hamming distance optimization. Vis. Comput. Gábor Szücs
2023	Misc	`conf`	PIC-XAI: Post-hoc Image Captioning Explanation using Segmentation. SACI Modafar Al-Shouha, Gábor Szücs
2023	—	`conf`	iPIC-XAI: Improving PIC-XAI for Enhanced Image Captioning Explanation. CogInfoCom Modafar Al-Shouha, Gábor Szücs
2022	—	`conf`	Modular StoryGAN with Background and Theme Awareness for Story Visualization. ICPRAI (1) Gábor Szücs, Modafar Al-Shouha
2022	—	`conf`	Split Feature Space Ensemble Method using Deep Reinforcement Learning for Algorithmic Trading. ICCTA Marcell Németh, Gábor Szücs
2022	J	`jnl`	Zero Initialised Unsupervised Active Learning by Optimally Balanced Entropy-Based Sampling for Imbalanced Problems. J. Exp. Theor. Artif. Intell. Gábor Szücs, Dávid Papp
2019	J	`jnl`	Combining count- and length-based z-scores leads to improved predictions in non-invasive prenatal testing. Bioinform. Jaroslav Budis, Juraj Gazdarica, Ján Radvánszky, Gábor Szücs, Marcel Kucharík, Lucia Strieskova, Iveta Gazdaricova, Maria Harsanyova, Frantisek Duris, Gabriel Minarik, Martina Sekelska, Bálint Nagy, Ján Turna, Tomás Szemes
2019	Misc	`conf`	Difference based query strategies in active learning. SISY Dávid Papp, Gábor Szücs, Zsolt Knoll
2019	—	`conf`	Machine preparation for human labelling of hierarchical train sets by spectral clustering. CogInfoCom Dávid Papp, Gábor Szücs, Zsolt Knoll
2019	Misc	`conf`	Seq2seq Deep Learning Method for Summary Generation by LSTM with Two-way Encoder and Beam Search Decoder. SISY Gábor Szücs, Dorottya Huszti
2018	J	`jnl`	Body Part Extraction and Pose Estimation Method in Rowing Videos. J. Comput. Inf. Technol. Gábor Szücs, Bence Tamás
2018	J	`jnl`	Double Probability Model for Open Set Problem at Image Classification. Informatica Dávid Papp, Gábor Szücs
2018	C	`conf`	Extended Margin and Soft Balanced Strategies in Active Learning. ADBIS Dávid Papp, Gábor Szücs
2017	J	`jnl`	Balanced Active Learning Method for Image Classification. Acta Cybern. Dávid Papp, Gábor Szücs
2017	—	`conf`	Image Matching for Individual Recognition with SIFT, RANSAC and MCL. CLEF (Working Notes) Dávid Papp, Ferenc Mogyorósi, Gábor Szücs
2016	—	`conf`	Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrieval. CLEF (Working Notes) Bálint Pál Tóth, Márton József Tóth, Dávid Papp, Gábor Szücs
2016	—	`conf`	Object Detection, Classification, Tracking and individual Recognition for Sea Images and Videos. CLEF (Working Notes) Dávid Papp, Dániel Lovas, Gábor Szücs
2015	—	`conf`	SVM classification of moving objects tracked by Kalman filter and Hungarian method. CLEF (Working Notes) Gábor Szücs, Dávid Papp, Dániel Lovas
2014	—	`conf`	DCLab at MediaEval2014 Search and Hyperlinking Task. MediaEval Zsombor Paroczi, Bálint Fodor, Gábor Szücs
2014	—	`conf`	Re-Ranking the Image Search Results for Relevance and Diversity in MediaEval 2014 Challenge. MediaEval Zsombor Paroczi, Bálint Fodor, Gábor Szücs
2014	—	`conf`	Viewpoints Combined Classification Method in Image-based Plant Identification Task. CLEF (Working Notes) Gábor Szücs, Dávid Papp, Dániel Lovas
2013	—	`conf`	BMEMTM at MediaEval 2013 Retrieving Diverse Social Images Task: Analysis of Text and Visual Information. MediaEval Gábor Szücs, Zsombor Paroczi, Dániel Máté Vincz
2013	—	`conf`	Hierarchical image browsing based on visual information. CogInfoCom Gábor Szücs
2013	J	`jnl`	Random Response Forest for Privacy-Preserving Classification. J. Comput. Eng. Gábor Szücs
2012	—	`conf`	OWLAP - Using OLAP approach in anomaly detection: Award: Good support for the data preparation, analysis, and presentation process. IEEE VAST László Dudás, Zsolt Fekete, Julianna Göbölös-Szabó, A. Radnai, A. Salanki, A. Szabo, Gábor Szücs
2011	—	`conf`	City sentinel - VAST 2011 mini challenge 1 award: "Outstanding integration of computational and visual methods". IEEE VAST Norbert Bánfi, László Dudás, Zsolt Fekete, Julianna Göbölös-Szabó, András Lukács, Ádám Nagy, Adrienn Szabó, Zoltán Szabó, Gábor Szücs
2011	J	`jnl`	Equilibrium estimation based on unreliable information in transport networks by adaptive simulation. Int. J. Adv. Intell. Paradigms Gábor Szücs
2010	—	`conf`	Collaborative Media Content Management. ISD András Ferenc Kovács, Gábor Magyar, Gábor Szücs