Evolutionary computing in recommender systems: a review of recent research
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 ...
Multimodal Emotion Recognition from Art Using Sequential Co-Attention
Journal Article
Tashu, T. M., Hajiyeva, S., & Horvath, T. (2021)
Multimodal Emotion Recognition from Art Using Sequential Co-Attention. Journal of Imaging, 7(8), Article 157. https://doi.org/10.3390/jimaging7080157
In this study, we present a multimodal emotion recognition architecture that uses both feature-level attention (sequential co-attention) and modality attention (weighted modal...
Swarm intelligence techniques in recommender systems - A review of recent research
Journal Article
Peška, L., Tashu, T. M., & Horváth, T. (2019)
Swarm intelligence techniques in recommender systems - A review of recent research. Swarm and Evolutionary Computation, 48, 201-219. https://doi.org/10.1016/j.swevo.2019.04.003
One of the main current applications of Intelligent Systems are Recommender systems (RS). RS can help users to find relevant items in huge information spaces in a personalized...
Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed
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)
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 almo...
Cluster-based oversampling with area extraction from representative points for class imbalance learning
Journal Article
Farou, Z., Wang, Y., & Horváth, T. (2024)
Cluster-based oversampling with area extraction from representative points for class imbalance learning. Intelligent Systems with Applications, 22, Article 200357. https://doi.org/10.1016/j.iswa.2024.200357
Class imbalance learning is challenging in various domains where training datasets exhibit disproportionate samples in a specific class. Resampling methods have been used to a...
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms
Journal Article
Machine learning algorithms often contain many hyperparameters whose values affect the predictive performance of the induced models in intricate ways. Due to the high number o...
Buried pipe localization using an iterative geometric clustering on GPR data
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 caus...
NCC: Neural concept compression for multilingual document recommendation
Journal Article
Tashu, T. M., Lenz, M., & Horváth, T. (2023)
NCC: Neural concept compression for multilingual document recommendation. Applied Soft Computing, 142, Article 110348. https://doi.org/10.1016/j.asoc.2023.110348
In this work, we propose a novel method for generating inter-lingual document representations using neural network concept compression. The presented approach is intended to i...
Ranking Formal Concepts by Utilizing Matrix Factorization
Journal Article
Pisková, L., Horvath, T., & Krajči, S. (2014)
Ranking Formal Concepts by Utilizing Matrix Factorization. Studia Universitatis Babes-Bolyai Informatica, 59(Special Issue 2), 62-79
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 hum...
Dynamic noise filtering for multi-class classification of beehive audio data
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 flower...