Publications

Found 28 results
Author Keyword [ Title(Asc)] Type Year
Filters: Author is Tóth, László  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
W
Tóth L, Nagy B, Gyimóthy T, Vidács L.  2020.  Why Will My Question Be Closed? NLP-Based Pre-Submission Predictions of Question Closing Reasons on Stack Overflow Proceedings of the 42nd International Conference on Software Engineering, NIER Track (ICSE 2020). :105-108.
V
Gosztolya G, Kocsor A, Tóth L, Felföldi L.  2003.  Various Robust Search Methods in a Hungarian Speech Recognition System. Acta Cybernetica. 16:229-240.
Gosztoya G, Kocsor A, Tóth L, Felföldi L.  2002.  Various Robust Search Methods in a Hungarian Speech recognition System. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :35.
T
Tóth L, Nagy B, Janthó D, Vidács L, Gyimóthy T.  2019.  Towards an Accurate Prediction of the Question Quality at Stack Overflow Using a Deep-Learning-Based NLP Approach. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :631-639.
S
Tóth L, Vidács L.  2018.  Study of Various Classifiers for Identification and Classification of Non-Functional Requirements. Proceedings of the 18th International Conference on Computational Science and Its Applications (ICCSA 2018). 10964:492-503.
Tóth L, Vidács L.  2019.  Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. Information Technology and Control. 48:1-16.
Gosztolya G, Grósz T, Tóth L.  2020.  Social Signal Detection by Probabilistic Sampling DNN Training. IEEE Transactions on Affective Computing. 10:164–177.
O
Kocsor A, Tóth L, Imre B.  1999.  On the Optimal Parameters of a Sinusoidal Representation of Signals. Acta Cybernetica. 14:315-330.
Kocsor A, Tóth L, Bálint I.  1998.  On the Optimal Parameters of a Sinusoidal Representation of Signals. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :61-63.
N
Tóth L, Kocsor A, Kovács K, Felföldi L.  2003.  Nyelvészeti tudásforrások integrálási lehetõségei diszkriminatív szegmens-alapú beszédfelismerõ rendszerekbe. I. Magyar Számítógépes Nyelvészet Konferencia. :169-175.
Kocsor A, Tóth L, Paczolay D.  2001.  A Nonlinearized Discriminant Analysis and its Application to Speech Impediment Therapy. Text, Speech and Dialogue : 4th International Conference, TSD 2001, LNAI vol. 2166. :249-257.
M
Vicsi K, Tóth L, Kocsor A, Gordos G, Csirik J.  2002.  MTBA - magyar nyelvû telefonbeszéd-adatbázis. Híradástechnika. LVII:35-39.
Tóth L, Nagy B, Vidács L, Gyimóthy T.  2020.  Mining Hypernyms Semantic Relations from Stack Overflow. Proceedings of the First International Workshop on Knowledge Graph for Software Engineering, KG4SE 2020 - ICSEW.
H
Kovács K, Kocsor A, Tóth L.  2002.  Hungarian Speech Synthesis Using a Phase Exact HNM Approach. SOFSEM 2002: Theory and Practice of Informatics: 29th Conference on Current Trends in Theory and Practice of Informatics, LNAI vol. 2540. :181-185.
E
Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).
Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).
D
Tóth L, Kocsor A, Kovács K.  2000.  A Discriminative Segmental Speech Model and its Application to Hungarian Number Recognition. Text, Speech and Dialogue: Third International Workshop, TSD 2000, LNAI vol. 1902. :307-313.

Pages