Adatpárhuzamos sejtmagkeresési eljárás fejlesztése és paramétereinek optimalizálása - Sándor Szénási (2013)

Segmentation of colon tissue sample images using multiple graphics accelerators. - Sándor Szénási (Comput. Biol. Medicine, 2014)

Solving one-dimensional IHCP with particle swarm optimization using graphics accelerators. - Sándor Szénási; Imre Felde; István Kovács (SACI, 2015)

A Method for Virtual Extension of LZW Compression Dictionary. - István Finta; Lóránt Farkas; Sándor Szénási; Szabolcs Sergyán (ICIN, 2016)

Multiprocessing of an individual-cell based model for parameter testing. - Gabor Kertesz; Dániel Kiss; Anna Lovrics; Sándor Szénási; Zoltan Vamossy (SACI, 2016)

Interval Merging Binary Tree. - István Finta; Lóránt Farkas; Sándor Szénási; Szabolcs Sergyán (ICA3PP, 2017)

Solving the inverse heat conduction problem using NVLink capable Power architecture. - Sándor Szénási (PeerJ Comput. Sci., 2017)

Vehicle Image Matching Using Siamese Neural Networks with Multi-Directional Image Projections. - Gabor Kertesz; Sándor Szénási; Zoltan Vamossy (SACI, 2018)

Estimating the Heat Transfer Coefficient Using Universal Function Approximator Neural Network. - Sándor Szénási; Imre Felde; Gabor Nagy; Augusto Deus (SACI, 2018)

GPU Usage trends in Medical Image processing. - Abdallah Benhamida; Miklós Kozlovszky; Sándor Szénási (SACI, 2019)

Prediction of objective function value for heat transfer coefficient function reconstruction by FWA. - Zoltán Fried; Sándor Szénási; Imre Felde (SACI, 2019)

Multi-Directional Projection Transformations for Machine Learning based Object Matching. - Gábor Kertész; Sándor Szénási; Zoltán Vámossy (SACI, 2019)

Database for Research Projects to Solve the Inverse Heat Conduction Problem. - Sándor Szénási; Imre Felde (Data, 2019)

Data Structure for Packet De-Duplication in Distributed Environments. - István Finta; Lóránt Farkas; Sándor Szénási (BigDataService, 2020)

Special Issue on Bio-Inspired Algorithms for Image Processing. - Sándor Szénási; Gábor Kertész (Algorithms, 2020)

Input Pattern Classification Based on the Markov Property of the IMBT with Related Equations and Contingency Tables. - István Finta; Sándor Szénási; Lóránt Farkas (Entropy, 2020)

A Web Server to Store the Modeled Behavior Data and Zone Information of the Multidisciplinary Product Model in the CAD Systems. - Yatish Bathla; Sándor Szénási (Informatica (Slovenia), 2020)

Distorsion Prediction of Additive Manufacturing Process using Machine Learning Methods. - Zoltán Biczó; Imre Felde; Sándor Szénási (SACI, 2021)

Evaluation of GPU Virtualisation Approaches for Machine Learning Enhanced Debugging of Cloud Orchestration. - Márk Emodi; József Kovács; Róbert Lovas; Sándor Szénási (SACI, 2021)

Quantity Analysis on the Chaining of Repetition Free Words Considering the VDE Composition Rule. - István Finta; Lóránt Farkas; Sándor Szénási (SACI, 2021)

Adaptive Fireworks Algorithm to solve 2D Inverse Heat Conduction Problem. - Ákos Szabó-Gali; Imre Felde; Sándor Szénási (SACI, 2021)

Comparative analysis of image projection-based descriptors in Siamese neural networks. - Gábor Kertész; Sándor Szénási; Zoltán Vámossy (Adv. Eng. Softw., 2021)

Occlusion Handling in Generic Object Detection: A Review. - Kaziwa Saleh; Sándor Szénási; Zoltán Vámossy (CoRR, 2021)

Index Dependent Nested Loops Parallelization with an Even Distributed Number of Steps. - Ádám Pintér; Sándor Szénási (Informatica (Slovenia), 2021)

Statistical accident analysis supporting the control of autonomous vehicles. - Sándor Szénási; Gábor Kertész; Imre Felde; László Nádai (J. Comput. Methods Sci. Eng., 2021)

Analysis of historical road accident data supporting autonomous vehicle control strategies. - Sándor Szénási (PeerJ Comput. Sci., 2021)

A Novel Machine Learning Solution for the Inverse Heat Conduction Problem with Synthetic Datasets. - Zoltán Biczó; Sándor Szénási; Imre Felde (SACI, 2023)

Procedural City Generation. - Barnabás Erdei; Sándor Szénási (SACI, 2023)

Vectorisation of Program Codes for Machine Learning Based Resource Estimation. - András Kovács; Sándor Szénási; Róbert Lovas (SACI, 2023)

GPU Database for Large Geospatial Datasets. - Péter Mogyorosi; Sándor Szénási (SACI, 2023)

Longest Common Subsequence-based Source Code Similarity. - Ádám Pintér; Sándor Szénási (SACI, 2023)

GPU Acceleration of Longest Common Substrings Algorithm. - Ádám Pintér; Sándor Szénási (SACI, 2023)

Automated Moderation Helper System Using Artificial Intelligence Based Text Classification and Recommender System Techniques. - Barnabás Roczey; Sándor Szénási (SACI, 2023)

Optimization and Representation of a Network of Food Delivery Drones in Simulation. - Dávid Kelemen; Sándor Szénási (SISY, 2023)

Speech Emotion Recognition using Long Short-Term Memory Models and Grey Wolf Optimization. - Suryakant Tyagi; Sándor Szénási (SISY, 2023)

Generative Adversarial Network for Overcoming Occlusion in Images: A Survey. - Kaziwa Saleh; Sándor Szénási; Zoltán Vámossy (Algorithms, 2023)

Machine Learning-Assisted Approach for Optimizing Step Size of Hill Climbing Algorithm. - Sándor Szénási; Gábor Légrádi; Balázs Vigh (SACI, 2024)

Development of Smart Electromechanical Clock. - Balázs Vigh; Sándor Szénási (SACI, 2024)

Device Installation Guide Using Augmented Reality. - Gergo Oszvald; Sándor Szénási (SISY, 2024)

Simulating Hidraulic Erosion Utilizing Graphics Processors. - Bence Salamin; Sándor Szénási (SISY, 2024)

Mask Guided Gated Convolution for Amodal Content Completion. - Kaziwa Saleh; Sándor Szénási; Zoltán Vámossy (SISY, 2024)

Alternating Implementation of Machine Learning Assisted and General Hill-Climbing Algorithm. - Sándor Szénási; Gábor Légrádi; Imre Felde (SISY, 2024)

Achieving Peak Performance for Large Language Models: A Systematic Review. - Zhyar Rzgar K. Rostam; Sándor Szénási; Gábor Kertész (IEEE Access, 2024)

Machine learning aided metaheuristics: A comprehensive review of hybrid local search methods. - Sándor Szénási; Gábor Légrádi (Expert Syst. Appl., 2024)

Optimizing Speech Emotion Recognition with Deep Learning and Grey Wolf Optimization: A Multi-Dataset Approach. - Suryakant Tyagi; Sándor Szénási (Algorithms, 2024)

Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review. - Suryakant Tyagi; Sándor Szénási (Multim. Tools Appl., 2024)

Turning LLM Activations Quantization-Friendly. - Patrik Czakó; Gábor Kertész; Sándor Szénási (SACI, 2025)

GPU-Accelerated Database Model Based on HDF5. - Péter Mogyorosi; Sándor Szénási (SACI, 2025)

Comparison of 2D Stochastic and Probabilistic Cellular Automata Based on Unique Rules in Terms of Runtime and Convergence. - Balázs Vign Szh; Sándor Szénási (SACI, 2025)

Addressing Activation Outliers in LLMs: A Systematic Review of Post-Training Quantization Techniques. - Patrik Czakó; Gábor Kertész; Sándor Szénási (IEEE Access, 2025)

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs. - Patrik Czakó; Gábor Kertész; Sándor Szénási (CoRR, 2025)