Outputs (3343)

Object Detection Using Sim2Real Domain Randomization for Robotic Applications (2022)
Journal Article
Horváth, D., Erdős, G., Istenes, Z., Horváth, T., & Földi, S. (2023). Object Detection Using Sim2Real Domain Randomization for Robotic Applications. IEEE Transactions on Robotics, 39(2), 1225-1243. https://doi.org/10.1109/tro.2022.3207619

Robots working in unstructured environments must be capable of sensing and interpreting their surroundings. One of the main obstacles of deep-learning-based models in the field of robotics is the lack of domain-specific labeled data for different ind... Read More about Object Detection Using Sim2Real Domain Randomization for Robotic Applications.

Factorization Techniques for Predicting Student Performance (2012)
Book Chapter
Thai-Nghe, N., Drumond, L., Horváth, T., Krohn-Grimberghe, A., Nanopoulos, A., & Schmidt-Thieme, L. (2012). Factorization Techniques for Predicting Student Performance. In O. C. Santos, & J. G. Boticario (Eds.), Educational Recommender Systems and Technologies: Practices and Challenges (129-153). IGI Global. https://doi.org/10.4018/978-1-61350-489-5.ch006

Recommender systems are widely used in many areas, especially in e-commerce. Recently, they are also applied in e-learning for recommending learning objects (e.g. papers) to students. This chapter introduces state-of-the-art recommender system techni... Read More about Factorization Techniques for Predicting Student Performance.

Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed (2022)
Book Chapter
Alexy, M., & Horváth, T. Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed. In Tracing the Domestic Pig. IntechOpen. https://doi.org/10.5772/intechopen.101615

Pig farming is largely characterized by closed, large-scale housing technology. These systems are driven by resource efficiency. In intensive technologies, humans control almost completely. However, there are pig farming systems where humans have jus... Read More about Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed.

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 (2018)
Presentation / Conference Contribution
(2018, September). 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. Presented at 22th European Conference on Advances in Databases and Information Systems, ADBIS 2018, Budapest, Hungary

Advances in Databases and Information Systems: 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 2–5, 2018, Proceedings (2018)
Presentation / Conference Contribution
(2018, September). Advances in Databases and Information Systems: 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 2–5, 2018, Proceedings. Presented at 22nd European Conference on Advances in Databases and Information Systems, ADBIS 2018, Budapest, Hungary

Dynamic noise filtering for multi-class classification of beehive audio data (2022)
Journal Article
Várkonyi, D. T., Seixas Junior, J. L., & Horváth, T. (2023). Dynamic noise filtering for multi-class classification of beehive audio data. Expert Systems with Applications, 213(Part A), Article 118850. https://doi.org/10.1016/j.eswa.2022.118850

Honeybees are the most specialized insect pollinators and are critical not only for honey production but, also, for keeping the environmental balance by pollinating the flowers of a wide variety of crops. Recording and analyzing bee sounds became... Read More about Dynamic noise filtering for multi-class classification of beehive audio data.

Evolutionary computing in recommender systems: a review of recent research (2016)
Journal Article
Horváth, T., & de Carvalho, A. C. P. L. F. (2017). Evolutionary computing in recommender systems: a review of recent research. Natural Computing, 16(3), 441-462. https://doi.org/10.1007/s11047-016-9540-y

One of the main current applications of intelligent systems is recommender systems (RS). RS can help users to find relevant items in huge information spaces in a personalized way. Several techniques have been investigated for the development of RS. O... Read More about Evolutionary computing in recommender systems: a review of recent research.

A Model of User Preference Learning for Content-Based Recommender Systems (2009)
Journal Article
Horvath, T. (2009). A Model of User Preference Learning for Content-Based Recommender Systems. Computing and Informatics, 28(4), 1001-1029

This paper focuses to a formal model of user preference learning for content-based recommender systems. First, some fundamental and special requirements to user preference learning are identified and proposed. Three learning tasks are introduced as... Read More about A Model of User Preference Learning for Content-Based Recommender Systems.

Buried pipe localization using an iterative geometric clustering on GPR data (2013)
Journal Article
Janning, R., Busche, A., Horváth, T., & Schmidt-Thieme, L. (2014). Buried pipe localization using an iterative geometric clustering on GPR data. Artificial Intelligence Review, 42(3), 403-425. https://doi.org/10.1007/s10462-013-9410-2

Ground penetrating radar is a non-destructive method to scan the shallow subsurface for detecting buried objects like pipes, cables, ducts and sewers. Such buried objects cause hyperbola shaped reflections in the radargram images achieved by GPR. Ori... Read More about Buried pipe localization using an iterative geometric clustering on GPR data.

Ranking Formal Concepts by Utilizing Matrix Factorization (2014)
Presentation / Conference Contribution
Pisková, L., Horvath, T., & Krajči, S. Ranking Formal Concepts by Utilizing Matrix Factorization. Presented at 12th International Conference on Formal Concept Analysis, Cluj-Napoca, Romania

Formal Concept Analysis often produce huge number of formal concepts even for small input data. Such a large amount of formal concepts, which is intractable to analyze for humans, calls for a kind of a ranking of formal concepts according to their i... Read More about Ranking Formal Concepts by Utilizing Matrix Factorization.

GRAMOFON: General model-selection framework based on networks (2011)
Journal Article
Buza, K., Nanopoulos, A., Horváth, T., & Schmidt-Thieme, L. (2012). GRAMOFON: General model-selection framework based on networks. Neurocomputing, 75(1), 163-170. https://doi.org/10.1016/j.neucom.2011.02.026

Ensembles constitute one of the most prominent class of hybrid prediction models. One basically assumes that different models compensate each other's errors if one combines them in an appropriate way. Often, a large number of various prediction model... Read More about GRAMOFON: General model-selection framework based on networks.

An ILP model for a monotone graded classification problem (2004)
Presentation / Conference Contribution
Vojtáš, P., Horvath, T., Krajči, S., & Lencses, R. An ILP model for a monotone graded classification problem. Presented at Znalosti 2003, Ostrava, Czech Republic

Motivation for this paper are classification problems in which data can not be clearly divided into positive and negative examples, especially data in which there is a monotone hierarchy (degree, preference) of more or less positive (negative) exampl... Read More about An ILP model for a monotone graded classification problem.

Integration of two fuzzy data mining methods (2004)
Journal Article
Horvath, T., & Krajči, S. (2004). Integration of two fuzzy data mining methods. Neural Network World, 14(5), 391-402

The cluster analysis and the formal concept analysis are both used to identify significiant groups of similar objects. Rice & Siff's algorithm for the clustering joins these two methods in the case where the values of an object-attribute model are 1... Read More about Integration of two fuzzy data mining methods.

“Free Text Is Essentially the Enemy of What We’re Trying to Achieve”: The Framing of a National Vision for Delivering Digital Police Contact (2024)
Journal Article
Wells, H., Andrews, W., Clayton, E., Bradford, B., Aston, E. V., & O’Neill, M. (2024). “Free Text Is Essentially the Enemy of What We’re Trying to Achieve”: The Framing of a National Vision for Delivering Digital Police Contact. European Journal of Policing Studies, 7(1-2), 14-35. https://doi.org/10.5553/ejps.000017

Police organizations in England and Wales, as in many other contexts, are increasingly shifting crime reporting and other public-facing contact online. In this article, we explore the beliefs, motivations and objectives of those tasked with “deliveri... Read More about “Free Text Is Essentially the Enemy of What We’re Trying to Achieve”: The Framing of a National Vision for Delivering Digital Police Contact.

The Tip of the Iceberg: Exploring the Landscape of Policing in a Digitalized World (2024)
Journal Article
Easton, M., de Paepe, J., Aston, L., & Clayton, E. (2024). The Tip of the Iceberg: Exploring the Landscape of Policing in a Digitalized World. European Journal of Policing Studies, 7(1-2), 3-13. https://doi.org/10.5553/ejps.000018

In the ever-evolving landscape of law enforcement, the advent of the digital age has ushered in transformative shifts in police practices. These shifts have sparked scholarly attention and fuelled an increased volume of research dedicated to unravell... Read More about The Tip of the Iceberg: Exploring the Landscape of Policing in a Digitalized World.

An End-to-End Musical Instrument System That Translates Electromyogram Biosignals to Synthesized Sound (2024)
Journal Article
Tanaka, A., Visi, F., Di Donato, B., Klang, M., & Zbyszyński, M. (2024). An End-to-End Musical Instrument System That Translates Electromyogram Biosignals to Synthesized Sound. Computer Music Journal, 47(1), 64-84. https://doi.org/10.1162/comj_a_00672

This article presents a custom system combining hardware and sortware that sense physiological signals of the performer's body resulting from muscle contraction and translates them to computer-synthesized sound. Our goal was to build upon the history... Read More about An End-to-End Musical Instrument System That Translates Electromyogram Biosignals to Synthesized Sound.

Unregulated Futures: Scenario Planning for the Unknown (2024)
Presentation / Conference Contribution
Crawford, M., Roubelat, F., & Marchais-Roubelat, A. (2024, September). Unregulated Futures: Scenario Planning for the Unknown. Presented at Anticipation 2024, Lancaster, UK

Building from years of piloting novel methods for future visioning through group engagement, this curated session will take attendees through a fast-tracked, yet fully- immersive scenario planning workshop. The prompt is, “What does 2034 look like if... Read More about Unregulated Futures: Scenario Planning for the Unknown.

MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer (2024)
Journal Article
Wang, F., Shi, X., Yang, F., Song, R., Li, Q., Tan, Z., & Wang, C. (2024). MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer. Journal of Information Security and Applications, 83, Article 103784. https://doi.org/10.1016/j.jisa.2024.103784

The proliferation of malware has exhibited a substantial surge in both quantity and diversity, posing significant threats to the Internet and indispensable network applications. The accurate and effective classification makes a pivotal role in defend... Read More about MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer.

Digital transformation and the DIY artist: Balancing artistic integrity and economic sustainability in the digital domain (2024)
Journal Article
Oliver, P. G. (online). Digital transformation and the DIY artist: Balancing artistic integrity and economic sustainability in the digital domain. DIY, Alternative Cultures & Society, https://doi.org/10.1177/27538702241251886

This study investigates the evolving role of do-it-yourself (DIY) artists in the context of digital transformation , analyzing the delicate balance between maintaining artistic integrity and achieving economic sustainability in the contemporary music... Read More about Digital transformation and the DIY artist: Balancing artistic integrity and economic sustainability in the digital domain.

Operator-valued multiplier theorems for causal translation-invariant operators with applications to control theoretic input-output stability (2024)
Journal Article
Guiver, C., Logemann, H., & Opmeer, M. R. (online). Operator-valued multiplier theorems for causal translation-invariant operators with applications to control theoretic input-output stability. Mathematics of Control, Signals, and Systems, https://doi.org/10.1007/s00498-024-00387-4

We prove an operator-valued Laplace multiplier theorem for causal translation-invariant linear operators which provides a characterization of continuity from~$H^\alpha(\mR,U)$ to~$H^\beta(\mR,U)$ (fractional~$U$-valued Sobolev spaces, $U$ a complex H... Read More about Operator-valued multiplier theorems for causal translation-invariant operators with applications to control theoretic input-output stability.