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2020 – today
- 2024
[j22]Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren
, André C. P. L. F. de Carvalho:
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Min. Knowl. Discov. 38(3): 1364-1416 (2024)- [j21]Zakarya Farou, Yizhi Wang, Tomás Horváth:
Cluster-based oversampling with area extraction from representative points for class imbalance learning. Intell. Syst. Appl. 22: 200357 (2024) - 2023
- [j20]Tomás Horváth, Rafael G. Mantovani, André C. P. L. F. de Carvalho:
Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features. Appl. Soft Comput. 134: 109969 (2023) - [j19]Tsegaye Misikir Tashu, Marc Lenz, Tomás Horváth:
NCC: Neural concept compression for multilingual document recommendation. Appl. Soft Comput. 142: 110348 (2023) - [j18]Dániel Tamás Várkonyi, José Luis Seixas Junior, Tomás Horváth:
Dynamic noise filtering for multi-class classification of beehive audio data. Expert Syst. Appl. 213(Part): 118850 (2023) - [j17]Rudolf Vohnout, Ivo Bukovsky, Shuo-Yan Chou, Jakub Geyer, Ondrej Budik, Rohit Sharma, Milos Prokýsek, Tomás Horváth, Annemie Wyckmans:
Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts - A Prosumager Smart Fog Computing Perspective. IEEE Internet Things J. 10(21): 18898-18908 (2023) - [j16]Dániel Horváth, Gábor Erdös, Zoltán Istenes, Tomás Horváth, Sándor Földi:
Object Detection Using Sim2Real Domain Randomization for Robotic Applications. IEEE Trans. Robotics 39(2): 1225-1243 (2023) - [c86]Zakarya Farou, Mohamed Aharrat, Tomás Horváth:
A Comparative Study of Assessment Metrics for Imbalanced Learning. ADBIS (Short Papers) 2023: 119-129 - [c85]Ondrej Klicnik, Klara Turcanova, Petr Munster, Adrian Tomasov, Tomás Horváth, Jan Hajny:
Deploying Quantum Key Distribution into the Existing University Data Infrastructure. AFRICON 2023: 1-3 - [c84]L'ubomír Antoni, Peter Elias, Tomás Horváth, Stanislav Krajci, Ondrej Krídlo, Csaba Török:
Squared Symmetric Formal Contexts and Their Connections with Correlation Matrices. ICCS 2023: 19-27 - [c83]Pavel Novák, Patrik Kaura, Václav Oujezský, Tomás Horváth:
Ransomware File Detection Using Hashes and Machine Learning. ICUMT 2023: 107-110 - [c82]Martin Cízek, Ondrej Cíp, Ondrej Mokrý, Petr Dejdar, Petr Munster, Tomás Horváth:
Comparing Sensitivity of Methods to Measure Acoustic Vibrations in Optical Fibers. SENSORS 2023: 1-4 - [c81]Václav Oujezský, Pavel Novák, Tomás Horváth, Martin Holik, Michal Jurcik:
Data Backup System with Integrated Active Protection Against Ransomware. TSP 2023: 65-69 - 2022
- [j15]Vladimir Spurny, Petr Munster, Adrian Tomasov, Tomás Horváth, Edvin Skaljo:
Physical Layer Components Security Risks in Optical Fiber Infrastructures. Sensors 22(2): 588 (2022) - [j14]Petr Dejdar, Pavel Záviska, Sobeslav Valach, Petr Münster, Tomás Horváth:
Image Edge Detection Methods in Perimeter Security Systems Using Distributed Fiber Optical Sensing. Sensors 22(12): 4573 (2022) - [c80]Wadie Skaf, Tomás Horváth:
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series. ADBIS (Short Papers) 2022: 178-187 - [c79]Tsegaye Misikir Tashu, Tomás Horváth:
Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring. IDEAL 2022: 12-21 - [c78]Zakarya Farou, Liudmila Kopeikina, Tomás Horváth:
Solving Multi-class Imbalance Problems Using Improved Tabular GANs. IDEAL 2022: 527-539 - [c77]Dániel Tamás Várkonyi, Márta Alexy, Tomás Horváth:
Beyond Sensor Data Analysis: Unexpected Challenges in a Honeybee Monitoring Project. ITAT 2022: 61-67 - [c76]Ondrej Klicnik, Adrian Tomasov, Petr Munster, Tomás Horváth, Jan Hajny:
Long-term Parameters Monitoring of the IDQ Clavis 3 QKD System. SoftCOM 2022: 1-4 - [i9]Tsegaye Misikir Tashu, Chandresh Kumar Maurya, Tomás Horváth:
Deep Learning Architecture for Automatic Essay Scoring. CoRR abs/2206.08232 (2022) - [i8]Tsegaye Misikir Tashu, Sara Fattouh, Péter Kiss, Tomás Horváth:
Multimodal E-Commerce Product Classification Using Hierarchical Fusion. CoRR abs/2207.03305 (2022) - [i7]Sofiane Ouaari, Tsegaye Misikir Tashu, Tomás Horváth:
Multimodal Feature Extraction for Memes Sentiment Classification. CoRR abs/2207.03317 (2022) - [i6]Dániel Horváth, Gábor Erdös, Zoltán Istenes, Tomás Horváth, Sándor Földi:
Object Detection Using Sim2Real Domain Randomization for Robotic Applications. CoRR abs/2208.04171 (2022) - [i5]Wadie Skaf, Tomás Horváth:
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series. CoRR abs/2208.14337 (2022) - [i4]Ermiyas Birihanu, Jiyan Mahmud, Péter Kiss, Adolf Kamuzora, Wadie Skaf, Tomás Horváth, Tamás Jursonovics, Peter Pogrzeba, Imre Lendák:
Client Error Clustering Approaches in Content Delivery Networks (CDN). CoRR abs/2210.05314 (2022) - [i3]Adolf Kamuzora, Wadie Skaf, Ermiyas Birihanu, Jiyan Mahmud, Péter Kiss, Tamás Jursonovics, Peter Pogrzeba, Imre Lendák, Tomás Horváth:
Matrix Factorization for Cache Optimization in Content Delivery Networks (CDN). CoRR abs/2211.08273 (2022) - 2021
- [j13]Tsegaye Misikir Tashu, Sakina Hajiyeva, Tomás Horváth:
Multimodal Emotion Recognition from Art Using Sequential Co-Attention. J. Imaging 7(8): 157 (2021) - [c75]Ondrej Klicnik, Petr Munster, Tomás Horváth, Jan Hajny, Lukas Malina:
Quantum Key Distribution Polygon. ICUMT 2021: 263-266 - [c74]Vladimir Spurny, Petr Munster, Tomás Horváth, Edvin Skaljo:
Leakage of Information Through Passive Components in Optical Fiber Infrastructures. ICUMT 2021: 271-273 - [c73]Vilmos Tibor Salamon, Tsegaye Misikir Tashu, Tomás Horváth:
Linear Concept Approximation for Multilingual Document Recommendation. IDEAL 2021: 147-156 - [c72]Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. IDEAL 2021: 246-258 - [c71]Marc Lenz, Tsegaye Misikir Tashu, Tomás Horváth:
Learning Inter-Lingual Document Representations via Concept Compression. IDEAL 2021: 268-276 - [c70]Péter Kiss, Tomás Horváth:
Migrating Models: A Decentralized View on Federated Learning. PKDD/ECML Workshops (1) 2021: 177-191 - [c69]Adrian Tomasov, Tomás Horváth, Petr Munster, Martin Holik, Václav Oujezský:
FPGA xPON Traffic Analysis. TSP 2021: 58-61 - 2020
- [j12]Petr Munster, Tomás Horváth:
Intelligent Technical Textiles Based on Fiber Bragg Gratings for Strain Monitoring. Sensors 20(10): 2951 (2020) - [j11]Martin Holik, Tomás Horváth, Václav Oujezský, Petr Munster, Adrian Tomasov, Sobeslav Valach:
MongoDB Database as Storage for GPON Frames. Sensors 20(21): 6208 (2020) - [c68]Tsegaye Misikir Tashu, Tomás Horváth:
Attention-Based Multi-modal Emotion Recognition from Art. ICPR Workshops (3) 2020: 604-612 - [c67]Andrea Galloni, Imre Lendák, Tomás Horváth:
A Novel Evaluation Metric for Synthetic Data Generation. IDEAL (2) 2020: 25-34 - [c66]Zakarya Farou, Noureddine Mouhoub, Tomás Horváth:
Data Generation Using Gene Expression Generator. IDEAL (2) 2020: 54-65 - [c65]Péter Kiss, Tomás Horváth, Vukasin Felbab:
Stateful Optimization in Federated Learning of Neural Networks. IDEAL (2) 2020: 348-355 - [c64]Ekaterina Zolotareva, Tsegaye Misikir Tashu, Tomás Horváth:
Abstractive Text Summarization using Transfer Learning. ITAT 2020: 75-80 - [c63]Amjad Balawi, Abdullah Al Zoabi, José Luis Seixas Junior, Tomás Horváth:
Classification of a Small Imbalanced Dataset of Vine Leaves Images using Deep Learning Techniques. ITAT 2020: 108-114 - [c62]José Luis Seixas Junior, Tomás Horváth:
KNN Algorithm with DTW Distance for Signature Classification of Wine Leaves. ITAT 2020: 130-136 - [c61]Gábor Szegedi, Diána Bajdikné Veres, Imre Lendák, Tomás Horváth:
Context-based Information Classification on Hungarian Invoices. ITAT 2020: 147-151 - [c60]Roland Krisztián Szabó, Tomás Horváth, Ádám Tarcsi:
Analysis of Delay Patterns and Correlations in Railway Traffic Data. ITAT 2020: 152-160 - [c59]Tsegaye Misikir Tashu, Tomás Horváth:
SmartScore-Short Answer Scoring Made Easy Using Sem-LSH. ICSC 2020: 145-149 - [c58]Ning-Hai Bao, Subhadeep Sahoo, Ming Kuang, Guo-Ping Li, Tomás Horváth:
Synchronous Evacuation for Dual Virtual Machines Under Disaster Risks. TSP 2020: 27-30 - [c57]Václav Oujezský, Adrian Tomasov, Martin Holik, Vladislav Skorpil, Tomás Horváth, Michal Jurcik:
GPON Traffic Analysis with TensorFlow. TSP 2020: 69-72 - [c56]Martin Holik, Tomás Horváth, Václav Oujezský, Petr Munster, Zdenek Vais:
Storage for Traffic from xPON Networks. TSP 2020: 77-80 - [c55]Michal Látal, Petr Dejdar, Tomás Horváth, Petr Münster:
Simultaneous Transmission of Data and Sensory Signal with Gradual Increase in Channel Spacing. TSP 2020: 488-491 - [e5]Martin Holena, Tomás Horváth, Alica Kelemenová, Frantisek Mráz, Dana Pardubská, Martin Plátek, Petr Sosík:
Proceedings of the 20th Conference Information Technologies - Applications and Theory (ITAT 2020), Hotel Tyrapol, Oravská Lesná, Slovakia, September 18-22, 2020. CEUR Workshop Proceedings 2718, CEUR-WS.org 2020 [contents] - [i2]Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu, Tomás Horváth:
Online Similarity Learning with Feedback for Invoice Line Item Matching. CoRR abs/2001.00288 (2020)
2010 – 2019
- 2019
- [j10]Tomás Horváth, Petr Munster, Josef Vojtech, Vladimír Smotlacha:
Simultaneous Transmission of Photonic Services over One Fiber with an ITU 100 GHz Grid. Sensors 19(7): 1601 (2019) - [j9]Petr Munster, Tomás Horváth, Josef Vojtech:
Distributed Sensing Based on Interferometry and Polarization Methods for Use in Fibre Infrastructure Protection. Sensors 19(8): 1810 (2019) - [j8]Ladislav Peska, Tsegaye Misikir Tashu, Tomás Horváth:
Swarm intelligence techniques in recommender systems - A review of recent research. Swarm Evol. Comput. 48: 201-219 (2019) - [c54]Krisztián Búza, Tomás Horváth:
Factorization Machines for Blog Feedback Prediction. CORES 2019: 79-85 - [c53]Václav Oujezský, Vladislav Skorpil, Tomás Horváth:
GPON Frame Analysis with Artificial Immune System. ICUMT 2019: 1-4 - [c52]Tsegaye Misikir Tashu, Tomás Horváth:
Semantic-Based Feedback Recommendation for Automatic Essay Evaluation. IntelliSys (2) 2019: 334-346 - [c51]Imre Lendák, Tomás Horváth:
Efficient Load Profiling and Forecasting in Large Electric Power Systems. ITAT 2019: 36-43 - [c50]Vukasin Felbab, Péter Kiss, Tomás Horváth:
Optimization in Federated Learning. ITAT 2019: 58-65 - [c49]Gábor Szegedi, Péter Kiss, Tomás Horváth:
Evolutionary Federated Learning on EEG-data. ITAT 2019: 71-78 - [c48]Tsegaye Misikir Tashu, Julius P. Esclamado, Tomás Horváth:
Intelligent On-line Exam Management and Evaluation System. ITS 2019: 105-111 - [c47]Tsegaye Misikir Tashu, Dávid Szabó, Tomás Horváth:
Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing. ITS 2019: 186-192 - [c46]Tomás Horváth, Petr Munster, Václav Oujezský, Josef Vojtech, Martin Holik, Petr Dejdar, Michal Látal:
GPON Network with Simulated Rogue ONU. SoftCOM 2019: 1-5 - [c45]Václav Oujezský, David Chapcak, Tomás Horváth, Petr Munster:
Security Testing Of Active Optical Network Devices. TSP 2019: 9-13 - [c44]Václav Oujezský, Tomás Horváth, Petr Munster:
Application for Determining whether IP Addresses belong to a Map by Coordinates. TSP 2019: 14-18 - [c43]Václav Oujezský, Tomás Horváth, Michal Jurcik, Vladislav Skorpil, Martin Holik, Marek Kvás:
Fpga Network Card And System For Gpon Frames Analysis At Optical Layer. TSP 2019: 19-23 - [c42]Tomás Horváth, Vlastimil Clupek, Petr Munster, Václav Oujezský:
Key Exchange with PUF in NG-PON2 Networks. TSP 2019: 118-121 - [c41]Michal Jurcik, Tomás Horváth, Václav Oujezský, Vladislav Skorpil, Martin Holik:
GPON Parser for Database Analysis. TSP 2019: 347-350 - [c40]Petr Dejdar, Petr Munster, Tomás Horváth:
High-speed Data Acquisition and Signal Processing Using Cost Effective ARM + FPGA Processors. TSP 2019: 593-596 - [c39]Tomás Horváth, Michal Jurcik, Václav Oujezský, Vladislav Skorpil:
GPON Analyzer - Frame Parser Module. TSP 2019: 748-752 - [e4]Petra Barancíková, Martin Holena, Tomás Horváth, Matús Pleva, Rudolf Rosa:
Proceedings of the 19th Conference Information Technologies - Applications and Theory (ITAT 2019), Hotel Zornička, Donovaly, Slovakia, September 20-24, 2019. CEUR Workshop Proceedings 2473, CEUR-WS.org 2019 [contents] - 2018
- [c38]Tsegaye Misikir Tashu, Tomás Horváth:
Pair-Wise: Automatic Essay Evaluation using Word Mover's Distance. CSEDU (1) 2018: 59-66 - [c37]Tsegaye Misikir Tashu, Tomás Horváth:
A Layered Approach to Automatic Essay Evaluation Using Word-Embedding. CSEDU (Selected Papers) 2018: 77-94 - [c36]Andrea Galloni, Balázs Horváth, Tomás Horváth:
Real-time Monitoring of Hungarian Highway Traffic from Cell Phone Network Data. ITAT 2018: 108-115 - [c35]Tomás Horváth, Petr Munster, Václav Oujezský, Josef Vojtech:
Activation Process of ONU in EPON/GPON Networks. TSP 2018: 1-5 - [c34]Josef Vojtech, Martin Slapák, Tomás Horváth, Michal Altmann, Ondrej Havlis, Pavel Skoda, Petr Munster, Jan Kundrat, Radek Velc, Vladimír Smotlacha, Jan Radil, Lada Altmannova, Rudolf Vohnout, Michal Hazlinsky, Radan Slavík:
Transmission Delay Stabilization Using Commercial Pluggable Small Form Factor Transceiver Based on V-Cavity Laser. TSP 2018: 1-5 - [e3]András Benczúr, Bernhard Thalheim, Tomás Horváth, Silvia Chiusano, Tania Cerquitelli, Csaba István Sidló, Peter Z. Revesz:
New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, DC, Budapest, Hungary, September, 2-5, 2018, Proceedings. Communications in Computer and Information Science 909, Springer 2018, ISBN 978-3-030-00062-2 [contents] - [e2]András Benczúr, Bernhard Thalheim, Tomás Horváth:
Advances in Databases and Information Systems - 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 2-5, 2018, Proceedings. Lecture Notes in Computer Science 11019, Springer 2018, ISBN 978-3-319-98397-4 [contents] - [i1]Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
An empirical study on hyperparameter tuning of decision trees. CoRR abs/1812.02207 (2018) - 2017
- [j7]Tomás Horváth, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary computing in recommender systems: a review of recent research. Nat. Comput. 16(3): 441-462 (2017) - [c33]Balász Horváth, Tomás Horváth:
Evaluating Data Sources for Crawling Events from the Web. ITAT 2017: 218-222 - [c32]Josef Vojtech, Ondrej Havlis, Martin Slapák, Pavel Skoda, Vladimír Smotlacha, Radek Velc, Petr Munster, Jan Kundrat, Michal Altmann, Jan Radil, Lada Altmannova, Rudolf Vohnout, Michal Hazlinsky, Tomás Horváth, Radan Slavík, Martin Cízek, Lenka Pravdova, Simon Rerucha, Jan Hrabina, Ondrej Cíp:
Joint stable optical frequency and precise time transfer over 406 km of shared fiber lines - Study. TSP 2017: 694-697 - [c31]Milos Kravcik, Olga C. Santos, Jesus Boticario, Mária Bieliková, Tomás Horváth:
UMAP 2017 PALE Workshop Organizers' Welcome. UMAP (Adjunct Publication) 2017: 271-273 - 2016
- [c30]Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Hyper-Parameter Tuning of a Decision Tree Induction Algorithm. BRACIS 2016: 37-42 - [c29]Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Effects of Random Sampling on SVM Hyper-parameter Tuning. ISDA 2016: 268-278 - [c28]Václav Oujezský, Tomás Horváth:
Case study and comparison of SimPy 3 and OMNeT++ Simulation. TSP 2016: 15-19 - [c27]Václav Oujezský, Tomás Horváth, Vladislav Skorpil:
Modeling botnet C&C traffic lifespans from NetFlow using survival analysis. TSP 2016: 50-55 - [c26]Petr Munster, Josef Vojtech, Tomás Horváth, Ondrej Havlis, Pavel Hanak, Milan Cucka, Miloslav Filka:
Simultaneous transmission of distributed sensors and data signals. TSP 2016: 761-764 - 2015
- [c25]Lukas Malina, Petr Munster, Jan Hajny, Tomás Horváth:
Towards Secure Gigabit Passive Optical Networks - Signal Propagation based Key Establishment. SECRYPT 2015: 349-354 - [c24]Lukas Koci, Tomás Horváth, Petr Munster, Michal Jurcik, Miloslav Filka:
Transmission convergence layer in XG-PON. TSP 2015: 104-108 - 2014
- [j6]Ruth Janning, André Busche, Tomás Horváth, Lars Schmidt-Thieme:
Buried pipe localization using an iterative geometric clustering on GPR data. Artif. Intell. Rev. 42(3): 403-425 (2014) - [c23]Stefan Pero, Tomás Horváth:
How patterns in source codes of students can help in detection of their programming skills? EDM 2014: 371-372 - [c22]Lenka Pisková, Tomás Horváth:
Computing Concept Lattices from Very Sparse Large-Scale Formal Contexts. ICCS 2014: 245-259 - 2013
- [c21]Lenka Pisková, Tomás Horváth:
Comparing Performance of Formal Concept Analysis and Closed Frequent Itemset Mining Algorithms on Real Data. CLA 2013: 299-304 - [c20]Stefan Pero, Tomás Horváth:
Detection of Inconsistencies in Student Evaluations. CSEDU 2013: 246-249 - [c19]Stefan Pero, Tomás Horváth:
Opinion-Driven Matrix Factorization for Rating Prediction. UMAP 2013: 1-13 - [e1]Tomás Horváth:
Proceedings of the Conference on Theory and Practice of Information Technologies, Belianske Tatry, Slovak Republic, September 17-21, 2012. CEUR Workshop Proceedings 990, CEUR-WS.org 2013 [contents] - 2012
- [j5]Krisztián Búza, Alexandros Nanopoulos, Tomás Horváth, Lars Schmidt-Thieme:
GRAMOFON: General model-selection framework based on networks. Neurocomputing 75(1): 163-170 (2012) - [c18]Lenka Pisková, Stefan Pero, Tomás Horváth, Stanislav Krajci:
Mining Concepts from Incomplete Datasets Utilizing Matrix Factorization. CLA 2012: 33-44 - [c17]André Busche, Ruth Janning, Tomás Horváth, Lars Schmidt-Thieme:
A Unifying Framework for GPR Image Reconstruction. GfKl 2012: 325-332 - [c16]Ruth Janning, Tomás Horváth, André Busche, Lars Schmidt-Thieme:
GamRec: A Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing. AIAI (1) 2012: 347-356 - [c15]Lucas Drumond, Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme:
Factorization techniques for student performance classification and ranking. UMAP Workshops 2012 - [c14]Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Lars Schmidt-Thieme:
Using factorization machines for student modeling. UMAP Workshops 2012 - 2011
- [c13]Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Matrix and Tensor Factorization for Predicting Student Performance. CSEDU (1) 2011: 69-78 - [c12]Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme:
Factorization Models for Forecasting Student Performance. EDM 2011: 11-20 - [c11]Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme:
Personalized Forecasting Student Performance. ICALT 2011: 412-414
2000 – 2009
- 2009
- [j4]Tomás Horváth:
A Model of User Preference Learning for Content-Based Recommender Systems. Comput. Informatics 28(4): 453-481 (2009) - [j3]Peter Gurský, Tomás Horváth, Peter Vojtás, Jozef Jirásek, Stanislav Krajci, Robert Novotny, Jana Pribolová, Veronika Vaneková:
User Preference Web Search -- Experiments with a System Connecting Web and User. Comput. Informatics 28(4): 515-553 (2009) - 2008
- [j2]Peter Gurský, Tomás Horváth, Jozef Jirásek, Robert Novotny, Jana Pribolová, Veronika Vaneková, Peter Vojtás:
Knowledge Processing for Web Search - An Integrated Model and Experiments. Scalable Comput. Pract. Exp. 9(1) (2008) - [c10]Alan Eckhardt, Tomás Horváth, Dusan Maruscák, Robert Novotny, Peter Vojtás:
Uncertainty Issues and Algorithms in Automating Process Connecting Web and User. URSW (LNCS Vol.) 2008: 207-223 - 2007
- [c9]Peter Gurský, Tomás Horváth, Jozef Jirásek, Stanislav Krajci, Robert Novotny, Veronika Vaneková, Peter Vojtás:
Knowledge Processing for Web Search - An Integrated Model. IDC 2007: 96-104 - [c8]Alan Eckhardt, Tomás Horváth, Dusan Maruscák, Robert Novotny, Peter Vojtás:
Uncertainty Issues in Automating Process Connecting Web and User. URSW 2007 - [c7]Alan Eckhardt, Tomás Horváth, Peter Vojtás:
Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying. SUM 2007: 116-130 - [c6]Alan Eckhardt, Tomás Horváth, Peter Vojtás:
PHASES: A User Profile Learning Approach for Web Search. Web Intelligence 2007: 780-783 - 2006
- [c5]Tomás Horváth, Peter Vojtás:
Induction of Fuzzy and Annotated Logic Programs. ILP 2006: 260-274 - [c4]Tomás Horváth, Peter Vojtás:
Ordinal Classification with Monotonicity Constraints. ICDM 2006: 217-225 - [c3]Peter Gurský, Tomás Horváth, Robert Novotny, Veronika Vaneková, Peter Vojtás:
UPRE: User Preference Based Search System. Web Intelligence 2006: 841-844 - 2004
- [j1]Peter Vojtás, Tomás Horváth, Stanislav Krajci, Rastislav Lencses:
An ILP model for a monotone graded classification problem. Kybernetika 40(3): 317-332 (2004) - [c2]Tomás Horváth, Peter Vojtás:
Fuzzy Induction via Generalized Annotated Programs. Fuzzy Days 2004: 419-433 - [c1]Tomás Horváth, Frantisek Sudzina, Peter Vojtás:
Mining Rules from Monotone Classification Measuring Impact of Information Systems on Business Competitiveness. BASYS 2004: 451-458
Coauthor Index
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Petr Munster
aka: Petr Münster
aka: Petr Münster
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last updated on 2025-01-21 00:25 CET by the dblp team
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