Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part IV. :610–624.

Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part IV. :610–624.

Gosztolya G, Grósz T, Tóth L.  2016.  GMM-Free Flat Start Sequence-Discriminative DNN Training. Proceedings of Interspeech. :3409–3413.

Tengeri D, Vidács L, Beszédes Á, Jász J, Balogh G, Vancsics B, Gyimóthy T.  2016.  Relating Code Coverage, Mutation Score and Test Suite Reducibility to Defect Density. Proceedings of the 9th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW'16); The 11th International Workshop on Mutation Analysis (MUTATION'16). :174-179.

Horváth F, Gergely T, Beszédes Á, Tengeri D, Balogh G, Gyimóthy T.  2017.  Code Coverage Differences of Java Bytecode and Source Code Instrumentation Tools. Software Quality Journal.

Grósz T, Gosztolya G, Tóth L.  2017.  A Comparative Evaluation of GMM-Free State Tying Methods for ASR. Proceedings of Interspeech. :1626–1630.

Gosztolya G, Busa-Fekete R, Grósz T, Tóth L.  2017.  DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification. Proceedings of Interspeech. :3522–3526.

Gosztolya G, Tóth L.  2017.  DNN-based Feature Extraction for Conflict Intensity Estimation from Speech. IEEE Signal Processing Letters. 24:1837–1841.

Csapó TGábor, Grósz T, Gosztolya G, Tóth L, Markó A.  2017.  DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface. Proceedings of Interspeech. :3672–3676.

Stellan O, H SRobert, Turán G, Aaron U.  2017.  Measuring an artificial intelligence system’s performance on a Verbal IQ test for young children. Journal Of Experimental & Theoretical Artificial Intelligence 29. :679-693.

Grósz T, Gosztolya G, Tóth L.  2017.  Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling. Proceedings of Interspeech. :1621–1625.

Tremel E, Birman K, Kleinberg R, Jelasity M.  2018.  Anonymous, Fault-Tolerant Distributed Queries for Smart Devices. ACM Trans. Cyber-Phys. Syst.. 3

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).

Gosztolya G, Tóth L.  2018.  A feature selection-based speaker clustering method for paralinguistic tasks. Pattern Analysis and Applications. 21:193–204.

Tóth L, Hoffmann I, Gosztolya G, Vincze V, Szatlóczki G, Bánréti Z, Pákáski M, Kálmán J.  2018.  A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech. Current Alzheimer Research. 15:130–138.

Antal G, Hegedüs P, Tóth Z, Ferenc R, Gyimóthy T.  2018.  Static JavaScript Call Graphs: A Comparative Study. SCAM. :177-186.

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.

Gosztolya G, Pintér Á, Tóth L, Grósz T, Markó A, Csapó TGábor.  2019.  Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. Proceedings of IJCNN.

Gosztolya G, Tóth L.  2019.  Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection From Audio Data. Proceedings of Interspeech. :515–519.

Horvath F, Gergely T, Beszedes A, Tengeri D, Balogh G, Gyimothy T.  2019.  Code coverage differences of Java bytecode and source code instrumentation tools. SOFTWARE QUALITY JOURNAL. 27:79-123.

Gosztolya G, Vincze V, Tóth L, Pákáski M, Kálmán J, Hoffmann I.  2019.  Identifying Mild Cognitive Impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features. Computer, Speech & Language. 53:181–197.

Tóth L, Gosztolya G.  2019.  Reducing the Inter-speaker Variance of CNN Acoustic Models Using Unsupervised Adversarial Multi-task Training. Proceedings of SPECOM. :481–490.

Tóth L, Vidács L.  2019.  Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. Information Technology and Control. 48:1-16.

Szabó Z, Téglás K, Berta Á, Jelasity M, Bilicki V.  2019.  Stunner: A Smart Phone Trace for Developing Decentralized Edge Systems. Distributed Applications and Interoperable Systems. :108–115.