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ORCIDSándor Szénási
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2020 – today
- 2024
[j15]Zhyar Rzgar K. Rostam
, Sándor Szénási, Gábor Kertész:
Achieving Peak Performance for Large Language Models: A Systematic Review. IEEE Access 12: 96017-96050 (2024)- [j14]Suryakant Tyagi, Sándor Szénási:
Optimizing Speech Emotion Recognition with Deep Learning and Grey Wolf Optimization: A Multi-Dataset Approach. Algorithms 17(3): 90 (2024) - [j13]Sándor Szénási, Gábor Légrádi:
Machine learning aided metaheuristics: A comprehensive review of hybrid local search methods. Expert Syst. Appl. 258: 125192 (2024) - [j12]Suryakant Tyagi, Sándor Szénási:
Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review. Multim. Tools Appl. 83(29): 73427-73456 (2024) - [c25]Sándor Szénási, Gábor Légrádi, Balázs Vigh:
Machine Learning-Assisted Approach for Optimizing Step Size of Hill Climbing Algorithm. SACI 2024: 425-430 - [c24]Balázs Vigh, Sándor Szénási:
Development of Smart Electromechanical Clock. SACI 2024: 503-508 - [i3]Kaziwa Saleh, Sándor Szénási, Zoltán Vámossy:
Mask Guided Gated Convolution for Amodal Content Completion. CoRR abs/2407.15203 (2024) - [i2]Zhyar Rzgar K. Rostam, Sándor Szénási, Gábor Kertész:
Achieving Peak Performance for Large Language Models: A Systematic Review. CoRR abs/2409.04833 (2024) - 2023
- [j11]Kaziwa Saleh, Sándor Szénási, Zoltán Vámossy:
Generative Adversarial Network for Overcoming Occlusion in Images: A Survey. Algorithms 16(3): 175 (2023) - [c23]Zoltán Biczó, Sándor Szénási, Imre Felde:
A Novel Machine Learning Solution for the Inverse Heat Conduction Problem with Synthetic Datasets. SACI 2023: 117-122 - [c22]Ádám Pintér, Sándor Szénási:
Longest Common Subsequence-based Source Code Similarity. SACI 2023: 123-128 - [c21]András Kovács, Sándor Szénási, Róbert Lovas:
Vectorisation of Program Codes for Machine Learning Based Resource Estimation. SACI 2023: 135-140 - [c20]Ádám Pintér, Sándor Szénási:
GPU Acceleration of Longest Common Substrings Algorithm. SACI 2023: 189-194 - [c19]Péter Mogyorosi, Sándor Szénási:
GPU Database for Large Geospatial Datasets. SACI 2023: 399-404 - [c18]Barnabás Erdei, Sándor Szénási:
Procedural City Generation. SACI 2023: 473-476 - [c17]Barnabás Roczey, Sándor Szénási:
Automated Moderation Helper System Using Artificial Intelligence Based Text Classification and Recommender System Techniques. SACI 2023: 477-482 - [c16]Dávid Kelemen, Sándor Szénási:
Optimization and Representation of a Network of Food Delivery Drones in Simulation. SISY 2023: 357-362 - [c15]Suryakant Tyagi, Sándor Szénási:
Speech Emotion Recognition using Long Short-Term Memory Models and Grey Wolf Optimization. SISY 2023: 643-648 - 2021
- [j10]Gábor Kertész, Sándor Szénási, Zoltán Vámossy:
Comparative analysis of image projection-based descriptors in Siamese neural networks. Adv. Eng. Softw. 154: 102963 (2021) - [j9]Ádám Pintér, Sándor Szénási:
Index Dependent Nested Loops Parallelization with an Even Distributed Number of Steps. Informatica (Slovenia) 45(4) (2021) - [j8]Sándor Szénási, Gábor Kertész, Imre Felde, László Nádai:
Statistical accident analysis supporting the control of autonomous vehicles. J. Comput. Methods Sci. Eng. 21(1): 85-97 (2021) - [j7]Sándor Szénási:
Analysis of historical road accident data supporting autonomous vehicle control strategies. PeerJ Comput. Sci. 7: e399 (2021) - [c14]Zoltán Biczó, Imre Felde, Sándor Szénási:
Distorsion Prediction of Additive Manufacturing Process using Machine Learning Methods. SACI 2021: 249-252 - [c13]Márk Emodi, József Kovács, Róbert Lovas, Sándor Szénási:
Evaluation of GPU Virtualisation Approaches for Machine Learning Enhanced Debugging of Cloud Orchestration. SACI 2021: 425-430 - [c12]István Finta, Lóránt Farkas, Sándor Szénási:
Quantity Analysis on the Chaining of Repetition Free Words Considering the VDE Composition Rule. SACI 2021: 431-436 - [c11]Ákos Szabó-Gali, Imre Felde, Sándor Szénási:
Adaptive Fireworks Algorithm to solve 2D Inverse Heat Conduction Problem. SACI 2021: 443-448 - [i1]Kaziwa Saleh, Sándor Szénási, Zoltán Vámossy:
Occlusion Handling in Generic Object Detection: A Review. CoRR abs/2101.08845 (2021) - 2020
- [j6]Sándor Szénási, Gábor Kertész:
Special Issue on Bio-Inspired Algorithms for Image Processing. Algorithms 13(12): 320 (2020) - [j5]István Finta, Sándor Szénási, Lóránt Farkas:
Input Pattern Classification Based on the Markov Property of the IMBT with Related Equations and Contingency Tables. Entropy 22(2): 245 (2020) - [j4]Yatish Bathla, Sándor Szénási:
A Web Server to Store the Modeled Behavior Data and Zone Information of the Multidisciplinary Product Model in the CAD Systems. Informatica (Slovenia) 44(2) (2020) - [c10]István Finta, Lóránt Farkas, Sándor Szénási:
Data Structure for Packet De-Duplication in Distributed Environments. BigDataService 2020: 183-188
2010 – 2019
- 2019
- [j3]Sándor Szénási, Imre Felde:
Database for Research Projects to Solve the Inverse Heat Conduction Problem. Data 4(3): 90 (2019) - [c9]Gábor Kertész, Sándor Szénási, Zoltán Vámossy:
Multi-Directional Projection Transformations for Machine Learning based Object Matching. SACI 2019: 269-274 - [c8]Zoltán Fried, Sándor Szénási, Imre Felde:
Prediction of objective function value for heat transfer coefficient function reconstruction by FWA. SACI 2019: 304-307 - [c7]Abdallah Benhamida, Miklós Kozlovszky, Sándor Szénási:
GPU Usage trends in Medical Image processing. SACI 2019: 320-325 - 2018
- [c6]Gabor Kertesz, Sándor Szénási, Zoltan Vamossy:
Vehicle Image Matching Using Siamese Neural Networks with Multi-Directional Image Projections. SACI 2018: 1-5 - [c5]Sándor Szénási, Imre Felde, Gabor Nagy, Augusto Deus:
Estimating the Heat Transfer Coefficient Using Universal Function Approximator Neural Network. SACI 2018: 401-404 - 2017
- [j2]Sándor Szénási:
Solving the inverse heat conduction problem using NVLink capable Power architecture. PeerJ Comput. Sci. 3: e138 (2017) - [c4]István Finta, Lóránt Farkas, Sándor Szénási, Szabolcs Sergyán:
Interval Merging Binary Tree. ICA3PP 2017: 452-464 - 2016
- [c3]István Finta, Lóránt Farkas, Sándor Szénási, Szabolcs Sergyán:
A Method for Virtual Extension of LZW Compression Dictionary. ICIN 2016 - [c2]Gabor Kertesz, Dániel Kiss, Anna Lovrics, Sándor Szénási, Zoltan Vamossy:
Multiprocessing of an individual-cell based model for parameter testing. SACI 2016: 491-496 - 2015
- [c1]Sándor Szénási, Imre Felde, István Kovács:
Solving one-dimensional IHCP with particle swarm optimization using graphics accelerators. SACI 2015: 365-369 - 2014
- [j1]Sándor Szénási:
Segmentation of colon tissue sample images using multiple graphics accelerators. Comput. Biol. Medicine 51: 93-103 (2014) - 2013
- [b1]Sándor Szénási:
Adatpárhuzamos sejtmagkeresési eljárás fejlesztése és paramétereinek optimalizálása. Óbuda University, Hungary, 2013
Coauthor Index
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last updated on 2024-10-23 21:22 CEST by the dblp team
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