Fuzzy Induction via Generalized Annotated Programs. - Tomás Horváth; Peter Vojtás (Fuzzy Days, 2004)

Mining Rules from Monotone Classification Measuring Impact of Information Systems on Business Competitiveness. - Tomás Horváth; Frantisek Sudzina; Peter Vojtás (BASYS, 2004)

An ILP model for a monotone graded classification problem. - Peter Vojtás; Tomás Horváth; Stanislav Krajci; Rastislav Lencses (Kybernetika, 2004)

Induction of Fuzzy and Annotated Logic Programs. - Tomás Horváth; Peter Vojtás (ILP, 2006)

Ordinal Classification with Monotonicity Constraints. - Tomás Horváth; Peter Vojtás (ICDM, 2006)

UPRE: User Preference Based Search System. - Peter Gurský; Tomás Horváth; Robert Novotny; Veronika Vaneková; Peter Vojtás (Web Intelligence, 2006)

Knowledge Processing for Web Search - An Integrated Model. - Peter Gurský; Tomás Horváth; Jozef Jirásek 001; Stanislav Krajci; Robert Novotny; Veronika Vaneková; Peter Vojtás (IDC, 2007)

Uncertainty Issues in Automating Process Connecting Web and User. - Alan Eckhardt; Tomás Horváth; Dusan Maruscák; Robert Novotny; Peter Vojtás (URSW, 2007)

Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying. - Alan Eckhardt; Tomás Horváth; Peter Vojtás (SUM, 2007)

PHASES: A User Profile Learning Approach for Web Search. - Alan Eckhardt; Tomás Horváth; Peter Vojtás (Web Intelligence, 2007)

Uncertainty Issues and Algorithms in Automating Process Connecting Web and User. - Alan Eckhardt; Tomás Horváth; Dusan Maruscák; Robert Novotny; Peter Vojtás (URSW (LNCS Vol.), 2008)

Knowledge Processing for Web Search - An Integrated Model and Experiments. - Peter Gurský; Tomás Horváth; Jozef Jirásek 001; Robert Novotny; Jana Pribolová; Veronika Vaneková; Peter Vojtás (Scalable Comput. Pract. Exp., 2008)

User Preference Web Search – Experiments with a System Connecting Web and User. - Peter Gurský; Tomás Horváth; Peter Vojtás; Jozef Jirásek 001; Stanislav Krajci; Robert Novotny; Jana Pribolová; Veronika Vaneková (Comput. Informatics, 2009)

A Model of User Preference Learning for Content-Based Recommender Systems. - Tomás Horváth (Comput. Informatics, 2009)

Matrix and Tensor Factorization for Predicting Student Performance. - Nguyen Thai-Nghe; Lucas Drumond; Tomás Horváth; Alexandros Nanopoulos; Lars Schmidt-Thieme (CSEDU (1), 2011)

Factorization Models for Forecasting Student Performance. - Nguyen Thai-Nghe; Tomás Horváth; Lars Schmidt-Thieme (EDM, 2011)

Personalized Forecasting Student Performance. - Nguyen Thai-Nghe; Tomás Horváth; Lars Schmidt-Thieme (ICALT, 2011)

Mining Concepts from Incomplete Datasets Utilizing Matrix Factorization. - Lenka Pisková; Stefan Pero; Tomás Horváth; Stanislav Krajci (CLA, 2012)

A Unifying Framework for GPR Image Reconstruction. - André Busche; Ruth Janning; Tomás Horváth; Lars Schmidt-Thieme (GfKl, 2012)

GamRec: A Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing. - Ruth Janning; Tomás Horváth; André Busche; Lars Schmidt-Thieme (AIAI (1), 2012)

Factorization techniques for student performance classification and ranking. - Lucas Drumond; Nguyen Thai-Nghe; Tomás Horváth; Lars Schmidt-Thieme (UMAP Workshops, 2012)

Using factorization machines for student modeling. - Nguyen Thai-Nghe; Lucas Drumond; Tomás Horváth; Lars Schmidt-Thieme (UMAP Workshops, 2012)

GRAMOFON: General model-selection framework based on networks. - Krisztián Búza; Alexandros Nanopoulos; Tomás Horváth; Lars Schmidt-Thieme (Neurocomputing, 2012)

Comparing Performance of Formal Concept Analysis and Closed Frequent Itemset Mining Algorithms on Real Data. - Lenka Pisková; Tomás Horváth (CLA, 2013)

Detection of Inconsistencies in Student Evaluations. - Stefan Pero; Tomás Horváth (CSEDU, 2013)

Opinion-Driven Matrix Factorization for Rating Prediction. - Stefan Pero; Tomás Horváth (UMAP, 2013)

How patterns in source codes of students can help in detection of their programming skills? - Stefan Pero; Tomás Horváth (EDM, 2014)

Computing Concept Lattices from Very Sparse Large-Scale Formal Contexts. - Lenka Pisková; Tomás Horváth (ICCS, 2014)

Buried pipe localization using an iterative geometric clustering on GPR data. - Ruth Janning; André Busche; Tomás Horváth; Lars Schmidt-Thieme (Artif. Intell. Rev., 2014)

Towards Secure Gigabit Passive Optical Networks - Signal Propagation based Key Establishment. - Lukas Malina; Petr Munster; Jan Hajny; Tomás Horváth (SECRYPT, 2015)

Transmission convergence layer in XG-PON. - Lukas Koci; Tomás Horváth; Petr Munster; Michal Jurcik; Miloslav Filka (TSP, 2015)

Hyper-Parameter Tuning of a Decision Tree Induction Algorithm. - Rafael Gomes Mantovani; Tomás Horváth; Ricardo Cerri; Joaquin Vanschoren; André C. P. L. F. de Carvalho (BRACIS, 2016)

Effects of Random Sampling on SVM Hyper-parameter Tuning. - Tomás Horváth; Rafael Gomes Mantovani; André C. P. L. F. de Carvalho (ISDA, 2016)

Simultaneous transmission of distributed sensors and data signals. - Petr Munster; Josef Vojtech; Tomás Horváth; Ondrej Havlis; Pavel Hanak; Milan Cucka; Miloslav Filka (TSP, 2016)

Case study and comparison of SimPy 3 and OMNeT++ Simulation. - Václav Oujezský; Tomás Horváth (TSP, 2016)

Modeling botnet C&C traffic lifespans from NetFlow using survival analysis. - Václav Oujezský; Tomás Horváth; Vladislav Skorpil (TSP, 2016)

Evaluating Data Sources for Crawling Events from the Web. - Balász Horváth; Tomás Horváth (ITAT, 2017)

Joint stable optical frequency and precise time transfer over 406 km of shared fiber lines - Study. - Josef Vojtech; Ondrej Havlis; Martin Slapák; Pavel Skoda; Vladimír Smotlacha; Radek Velc; Petr Munster; Jan Kundrat; Michal Altmann; Jan Radil; Lada Altmannova; Rudolf Vohnout; et al. (TSP, 2017)

UMAP 2017 PALE Workshop Organizers' Welcome. - Milos Kravcik; Olga C. Santos; Jesus Boticario; Mária Bieliková; Tomás Horváth (UMAP (Adjunct Publication), 2017)

Evolutionary computing in recommender systems: a review of recent research. - Tomás Horváth; André Carlos Ponce de Leon Ferreira de Carvalho (Nat. Comput., 2017)

Pair-Wise: Automatic Essay Evaluation using Word Mover's Distance. - Tsegaye Misikir Tashu; Tomás Horváth (CSEDU (1), 2018)

A Layered Approach to Automatic Essay Evaluation Using Word-Embedding. - Tsegaye Misikir Tashu; Tomás Horváth (CSEDU (Selected Papers), 2018)

Real-time Monitoring of Hungarian Highway Traffic from Cell Phone Network Data. - Andrea Galloni; Balázs Horváth; Tomás Horváth (ITAT, 2018)

Activation Process of ONU in EPON/GPON Networks. - Tomás Horváth; Petr Munster; Václav Oujezský; Josef Vojtech (TSP, 2018)

Transmission Delay Stabilization Using Commercial Pluggable Small Form Factor Transceiver Based on V-Cavity Laser. - Josef Vojtech; Martin Slapák; Tomás Horváth; Michal Altmann; Ondrej Havlis; Pavel Skoda; Petr Munster; Jan Kundrat; Radek Velc; Vladimír Smotlacha; Jan Radil; Lada Altmannova; et al. (TSP, 2018)

An empirical study on hyperparameter tuning of decision trees. - Rafael Gomes Mantovani; Tomás Horváth; Ricardo Cerri; Sylvio Barbon Junior; Joaquin Vanschoren; André Carlos Ponce de Leon Ferreira de Carvalho (CoRR, 2018)

Factorization Machines for Blog Feedback Prediction. - Krisztián Búza; Tomás Horváth (CORES, 2019)

GPON Frame Analysis with Artificial Immune System. - Václav Oujezský; Vladislav Skorpil; Tomás Horváth (ICUMT, 2019)

Semantic-Based Feedback Recommendation for Automatic Essay Evaluation. - Tsegaye Misikir Tashu; Tomás Horváth (IntelliSys (2), 2019)

Optimization in Federated Learning. - Vukasin Felbab; Péter Kiss; Tomás Horváth (ITAT, 2019)

Efficient Load Profiling and Forecasting in Large Electric Power Systems. - Imre Lendák; Tomás Horváth (ITAT, 2019)

Evolutionary Federated Learning on EEG-data. - Gábor Szegedi; Péter Kiss; Tomás Horváth (ITAT, 2019)

Intelligent On-line Exam Management and Evaluation System. - Tsegaye Misikir Tashu; Julius P. Esclamado; Tomás Horváth (ITS, 2019)

Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing. - Tsegaye Misikir Tashu; Dávid Szabó; Tomás Horváth (ITS, 2019)

GPON Network with Simulated Rogue ONU. - Tomás Horváth; Petr Munster; Václav Oujezský; Josef Vojtech; Martin Holik; Petr Dejdar; Michal Látal (SoftCOM, 2019)

High-speed Data Acquisition and Signal Processing Using Cost Effective ARM + FPGA Processors. - Petr Dejdar; Petr Munster; Tomás Horváth (TSP, 2019)

Key Exchange with PUF in NG-PON2 Networks. - Tomás Horváth; Vlastimil Clupek; Petr Munster; Václav Oujezský (TSP, 2019)

GPON Analyzer - Frame Parser Module. - Tomás Horváth; Michal Jurcik; Václav Oujezský; Vladislav Skorpil (TSP, 2019)

GPON Parser for Database Analysis. - Michal Jurcik; Tomás Horváth; Václav Oujezský; Vladislav Skorpil; Martin Holik (TSP, 2019)

Security Testing Of Active Optical Network Devices. - Václav Oujezský; David Chapcak; Tomás Horváth; Petr Munster (TSP, 2019)

Fpga Network Card And System For Gpon Frames Analysis At Optical Layer. - Václav Oujezský; Tomás Horváth; Michal Jurcik; Vladislav Skorpil; Martin Holik; Marek Kvás (TSP, 2019)

Application for Determining whether IP Addresses belong to a Map by Coordinates. - Václav Oujezský; Tomás Horváth; Petr Munster (TSP, 2019)

Simultaneous Transmission of Photonic Services over One Fiber with an ITU 100 GHz Grid. - Tomás Horváth; Petr Munster; Josef Vojtech; Vladimír Smotlacha (Sensors, 2019)

Distributed Sensing Based on Interferometry and Polarization Methods for Use in Fibre Infrastructure Protection. - Petr Munster; Tomás Horváth; Josef Vojtech (Sensors, 2019)

Swarm intelligence techniques in recommender systems - A review of recent research. - Ladislav Peska; Tsegaye Misikir Tashu; Tomás Horváth (Swarm Evol. Comput., 2019)

Attention-Based Multi-modal Emotion Recognition from Art. - Tsegaye Misikir Tashu; Tomás Horváth (ICPR Workshops (3), 2020)

Data Generation Using Gene Expression Generator. - Zakarya Farou; Noureddine Mouhoub; Tomás Horváth (IDEAL (2), 2020)

A Novel Evaluation Metric for Synthetic Data Generation. - Andrea Galloni; Imre Lendák; Tomás Horváth (IDEAL (2), 2020)

Stateful Optimization in Federated Learning of Neural Networks. - Péter Kiss; Tomás Horváth; Vukasin Felbab (IDEAL (2), 2020)

Classification of a Small Imbalanced Dataset of Vine Leaves Images using Deep Learning Techniques. - Amjad Balawi; Abdullah Al Zoabi; José Luis Seixas Junior; Tomás Horváth (ITAT, 2020)

KNN Algorithm with DTW Distance for Signature Classification of Wine Leaves. - José Luis Seixas Junior; Tomás Horváth (ITAT, 2020)

Analysis of Delay Patterns and Correlations in Railway Traffic Data. - Roland Krisztián Szabó; Tomás Horváth; Ádám Tarcsi (ITAT, 2020)

Context-based Information Classification on Hungarian Invoices. - Gábor Szegedi; Diána Bajdikné Veres; Imre Lendák; Tomás Horváth (ITAT, 2020)

Abstractive Text Summarization using Transfer Learning. - Ekaterina Zolotareva; Tsegaye Misikir Tashu; Tomás Horváth (ITAT, 2020)

SmartScore-Short Answer Scoring Made Easy Using Sem-LSH. - Tsegaye Misikir Tashu; Tomás Horváth (ICSC, 2020)

Synchronous Evacuation for Dual Virtual Machines Under Disaster Risks. - Ning-Hai Bao; Subhadeep Sahoo; Ming Kuang; Guo-Ping Li; Tomás Horváth (TSP, 2020)

Storage for Traffic from xPON Networks. - Martin Holik; Tomás Horváth; Václav Oujezský; Petr Munster; Zdenek Vais (TSP, 2020)

Simultaneous Transmission of Data and Sensory Signal with Gradual Increase in Channel Spacing. - Michal Látal; Petr Dejdar; Tomás Horváth; Petr Münster (TSP, 2020)

GPON Traffic Analysis with TensorFlow. - Václav Oujezský; Adrian Tomasov; Martin Holik; Vladislav Skorpil; Tomás Horváth; Michal Jurcik (TSP, 2020)

Online Similarity Learning with Feedback for Invoice Line Item Matching. - Chandresh Kumar Maurya; Neelamadhav Gantayat; Sampath Dechu; Tomás Horváth (CoRR, 2020)

MongoDB Database as Storage for GPON Frames. - Martin Holik; Tomás Horváth; Václav Oujezský; Petr Munster; Adrian Tomasov; Sobeslav Valach (Sensors, 2020)

Intelligent Technical Textiles Based on Fiber Bragg Gratings for Strain Monitoring. - Petr Munster; Tomás Horváth (Sensors, 2020)

Quantum Key Distribution Polygon. - Ondrej Klicnik; Petr Munster; Tomás Horváth; Jan Hajny; Lukas Malina (ICUMT, 2021)

Leakage of Information Through Passive Components in Optical Fiber Infrastructures. - Vladimir Spurny; Petr Munster; Tomás Horváth; Edvin Skaljo (ICUMT, 2021)

Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. - Tomás Horváth; Rafael Gomes Mantovani; André C. P. L. F. de Carvalho (IDEAL, 2021)

Learning Inter-Lingual Document Representations via Concept Compression. - Marc Lenz; Tsegaye Misikir Tashu; Tomás Horváth (IDEAL, 2021)

Linear Concept Approximation for Multilingual Document Recommendation. - Vilmos Tibor Salamon; Tsegaye Misikir Tashu; Tomás Horváth (IDEAL, 2021)

Migrating Models: A Decentralized View on Federated Learning. - Péter Kiss; Tomás Horváth (PKDD/ECML Workshops (1), 2021)

FPGA xPON Traffic Analysis. - Adrian Tomasov; Tomás Horváth; Petr Munster; Martin Holik; Václav Oujezský (TSP, 2021)

Multimodal Emotion Recognition from Art Using Sequential Co-Attention. - Tsegaye Misikir Tashu; Sakina Hajiyeva; Tomás Horváth (J. Imaging, 2021)

Denoising Architecture for Unsupervised Anomaly Detection in Time-Series. - Wadie Skaf; Tomás Horváth (ADBIS (Short Papers), 2022)

Solving Multi-class Imbalance Problems Using Improved Tabular GANs. - Zakarya Farou; Liudmila Kopeikina; Tomás Horváth (IDEAL, 2022)

Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring. - Tsegaye Misikir Tashu; Tomás Horváth (IDEAL, 2022)

Beyond Sensor Data Analysis: Unexpected Challenges in a Honeybee Monitoring Project. - Dániel Tamás Várkonyi; Márta Alexy; Tomás Horváth (ITAT, 2022)

Long-term Parameters Monitoring of the IDQ Clavis 3 QKD System. - Ondrej Klicnik; Adrian Tomasov; Petr Munster; Tomás Horváth; Jan Hajny (SoftCOM, 2022)

Deep Learning Architecture for Automatic Essay Scoring. - Tsegaye Misikir Tashu; Chandresh Kumar Maurya; Tomás Horváth (CoRR, 2022)

Multimodal E-Commerce Product Classification Using Hierarchical Fusion. - Tsegaye Misikir Tashu; Sara Fattouh; Péter Kiss; Tomás Horváth (CoRR, 2022)

Multimodal Feature Extraction for Memes Sentiment Classification. - Sofiane Ouaari; Tsegaye Misikir Tashu; Tomás Horváth (CoRR, 2022)

Client Error Clustering Approaches in Content Delivery Networks (CDN). - Ermiyas Birihanu; Jiyan Mahmud; Péter Kiss; Adolf Kamuzora; Wadie Skaf; Tomás Horváth; Tamás Jursonovics; Peter Pogrzeba; Imre Lendák (CoRR, 2022)

Matrix Factorization for Cache Optimization in Content Delivery Networks (CDN). - Adolf Kamuzora; Wadie Skaf; Ermiyas Birihanu; Jiyan Mahmud; Péter Kiss; Tamás Jursonovics; Peter Pogrzeba; Imre Lendák; Tomás Horváth (CoRR, 2022)

Image Edge Detection Methods in Perimeter Security Systems Using Distributed Fiber Optical Sensing. - Petr Dejdar; Pavel Záviska; Sobeslav Valach; Petr Münster; Tomás Horváth (Sensors, 2022)

Physical Layer Components Security Risks in Optical Fiber Infrastructures. - Vladimir Spurny; Petr Munster; Adrian Tomasov; Tomás Horváth; Edvin Skaljo (Sensors, 2022)

A Comparative Study of Assessment Metrics for Imbalanced Learning. - Zakarya Farou; Mohamed Aharrat; Tomás Horváth (ADBIS (Short Papers), 2023)

Deploying Quantum Key Distribution into the Existing University Data Infrastructure. - Ondrej Klicnik; Klara Turcanova; Petr Munster; Adrian Tomasov; Tomás Horváth; Jan Hajny (AFRICON, 2023)

Squared Symmetric Formal Contexts and Their Connections with Correlation Matrices. - L'ubomír Antoni; Peter Elias 002; Tomás Horváth; Stanislav Krajci; Ondrej Krídlo; Csaba Török (ICCS, 2023)

Ransomware File Detection Using Hashes and Machine Learning. - Pavel Novák; Patrik Kaura; Václav Oujezský; Tomás Horváth (ICUMT, 2023)

Comparing Sensitivity of Methods to Measure Acoustic Vibrations in Optical Fibers. - Martin Cízek; Ondrej Cíp; Ondrej Mokrý; Petr Dejdar; Petr Munster; Tomás Horváth (SENSORS, 2023)

Data Backup System with Integrated Active Protection Against Ransomware. - Václav Oujezský; Pavel Novák; Tomás Horváth; Martin Holik; Michal Jurcik (TSP, 2023)

NCC: Neural concept compression for multilingual document recommendation. - Tsegaye Misikir Tashu; Marc Lenz; Tomás Horváth (Appl. Soft Comput., 2023)

Dynamic noise filtering for multi-class classification of beehive audio data. - Dániel Tamás Várkonyi; José Luis Seixas Junior; Tomás Horváth (Expert Syst. Appl., 2023)

Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts - A Prosumager Smart Fog Computing Perspective. - Rudolf Vohnout; Ivo Bukovsky; Shuo-Yan Chou; Jakub Geyer; Ondrej Budik; Rohit Sharma 002; Milos Prokýsek; Tomás Horváth; Annemie Wyckmans (IEEE Internet Things J., 2023)

Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features. - Tomás Horváth; Rafael G. Mantovani; André C. P. L. F. de Carvalho (Appl. Soft Comput., 2023)

Object Detection Using Sim2Real Domain Randomization for Robotic Applications. - Dániel Horváth; Gábor Erdös 001; Zoltán Istenes; Tomás Horváth; Sándor Földi (IEEE Trans. Robotics, 2023)

Cluster-based oversampling with area extraction from representative points for class imbalance learning. - Zakarya Farou; Yizhi Wang; Tomás Horváth (Intell. Syst. Appl., 2024)

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. - Rafael Gomes Mantovani; Tomás Horváth; André L. D. Rossi; Ricardo Cerri; Sylvio Barbon Junior; Joaquin Vanschoren; André C. P. L. F. de Carvalho (Data Min. Knowl. Discov., 2024)

Integrating Quantum Key Distribution Into Academic Network: Practical Challenges and Solutions. - Ondrej Klicnik; Klara Turcanova; Petr Munster; Tomás Horváth (ARES (EU Projects Symposium Workshops 1), 2025)

Advancing Perimeter Security: Integrating DAS and CNN for Object Classification in Fiber Vicinity. - Adrian Tomasov; Pavel Záviska; Petr Dejdar; Ondrej Klicnik; Francesco Da Ros; Tomás Horváth; Petr Munster (IEEE Access, 2025)