Outputs (36)

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.

Swarm intelligence techniques in recommender systems - A review of recent research (2019)
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 way. Several techniques have been investigated for the development of RS.... Read More about Swarm intelligence techniques in recommender systems - A review of recent research.

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). 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. In A. Benczúr, B. Thalheim, . T. Horváth, . S. C

Advances in Databases and Information Systems: 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 2–5, 2018, Proceedings (2018)
Presentation / Conference Contribution
(2018). Advances in Databases and Information Systems: 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 2–5, 2018, Proceedings. In A. Benczúr, B. Thalheim, & T. Horváth (Eds.), Lecture Notes in Computer Science. https://doi.org/10.10

A General Introduction to Data Analytics (2018)
Book
Moreira, J. M., Carvalho, A. C. P. L. F., & Horváth, T. (2019). A General Introduction to Data Analytics. Wiley. https://doi.org/10.1002/9781119296294

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.

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.

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.

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 Techno

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.