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Outputs (20)

Attention-Based Multi-modal Emotion Recognition from Art (2021)
Presentation / Conference Contribution
Tashu, T. M., & Horváth, T. (2021, January). Attention-Based Multi-modal Emotion Recognition from Art. Presented at ICPR 2021, Online

Emotions are very important in dealing with human decisions, interactions, and cognitive processes. Art is an imaginative human creation that should be appreciated, thought-provoking, and elicits an emotional response. The automatic recognition of em... Read More about Attention-Based Multi-modal Emotion Recognition from Art.

A Novel Evaluation Metric for Synthetic Data Generation (2020)
Presentation / Conference Contribution
Galloni, A., Lendák, I., & Horváth, T. (2020, November). A Novel Evaluation Metric for Synthetic Data Generation. Presented at IDEAL 2020: 21st International Conference on Intelligent Data Engineering and Automated Learning, Guimarães, Portugal

Differentially private algorithmic synthetic data generation (SDG) solutions take input datasets Dp consisting of sensitive, private data and generate synthetic data Ds with similar qualities. The importance of such solutions is increasing both becau... Read More about A Novel Evaluation Metric for Synthetic Data Generation.

Data Generation Using Gene Expression Generator (2020)
Presentation / Conference Contribution
Farou, Z., Mouhoub, N., & Horváth, T. (2020, November). Data Generation Using Gene Expression Generator. Presented at IDEAL 2020: 21st International Conference on Intelligent Data Engineering and Automated Learning, Guimarães, Portugal

Generative adversarial networks (GANs) could be used efficiently for image and video generation when labeled training data is available in bulk. In general, building a good machine learning model requires a reasonable amount of labeled training data.... Read More about Data Generation Using Gene Expression Generator.

Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing (2019)
Presentation / Conference Contribution
Tashu, T. M., Szabó, D., & Horváth, T. (2019, June). Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing. Presented at ITS2019 Conference, Kingston, Jamaica

Automated essay evaluation systems use machine learning models to predict the score for an essay. For such, a training essay set is required which is usually created by human requiring time-consuming effort. Popular choice for scoring is a nearest ne... Read More about Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing.

Intelligent On-line Exam Management and Evaluation System (2019)
Presentation / Conference Contribution
Tashu, T. M., Esclamado, J. P., & Horvath, T. (2019, June). Intelligent On-line Exam Management and Evaluation System. Presented at 15th International Conference, ITS 2019, Kingston, Jamaica

Educational assessment plays a central role in the teaching-learning process as a tool for evaluating students’ knowledge of the concepts associated with the learning objectives. The evaluation and scoring of essay answers is a process, besides being... Read More about Intelligent On-line Exam Management and Evaluation System.

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

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.

Knowledge Processing for Web Search – An Integrated Model and Experiments (2008)
Presentation / Conference Contribution
Gurský, P., Horvath, T., Jirásek, J., Novotny, R., Pribolová, J., Vaneková, V., & Vojtáš, P. Knowledge Processing for Web Search – An Integrated Model and Experiments. Presented at Symposium on Intelligent and Distributed Computing IDC, Craiova, Romania

We propose a model of a middleware system enabling personalized web search for users with different preferences. We integrate both inductive and deductive tasks to find user preferences and consequently best objects. The model is based on modeling p... Read More about Knowledge Processing for Web Search – An Integrated Model and Experiments.

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.