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András Hajdu
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2020 – today
- 2024
- [j36]Robert Lakatos
, Gergo Bogacsovics, Balázs Harangi
A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews. Big Data Cogn. Comput. 8(3): 20 (2024) - [j35]Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo:
A multimodal deep learning architecture for smoking detection with a small data approach. Frontiers Artif. Intell. 7 (2024) - [j34]Attila Tiba, András Hajdu, Tamas Giraszi:
Finding Efficient Graph Embeddings and Processing them by a CNN-based Tool. Neural Process. Lett. 56(5): 226 (2024) - [j33]Timotei István Erdei, Tibor Péter Kapusi
Image-to-Image Translation-Based Deep Learning Application for Object Identification in Industrial Robot Systems. Robotics 13(6): 88 (2024) - [j32]Norbert Serban
Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks. Sensors 24(9): 2926 (2024) - [c67]Juliet Polok Sarkar, András Hajdu:
Comparative Analysis of Deep Learning Methods for Schizophrenia Classification from fMRI Scans. CBMS 2024: 69-74 - [i11]Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo:
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems. CoRR abs/2403.09727 (2024) - 2023
- [c66]Gergo Bogacsovics, Balázs Harangi, András Hajdu:
Increasing the diversity of ensemble members for accurate brain tumor classification. CBMS 2023: 529-534 - [c65]Arpad Pandy, Balázs Harangi, András Hajdu:
Extracting Drug Names from Medical Reports. CSIT 2023: 1-4 - [c64]Arpad Pandy, Balázs Harangi, András Hajdu:
Extracting Drug Names From Medical Reports. CSIT 2023: 1-4 - [i10]Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu:
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews. CoRR abs/2306.07786 (2023) - [i9]Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo:
A multimodal deep learning architecture for smoking detection with a small data approach. CoRR abs/2309.10561 (2023) - 2022
- [j31]Gergo Bogacsovics, János Tóth, András Hajdu, Balázs Harangi:
Enhancing CNNs through the use of hand-crafted features in automated fundus image classification. Biomed. Signal Process. Control. 76: 103685 (2022) - [j30]András Hajdu, György Terdik, Attila Tiba
A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning. Mach. Learn. 111(4): 1551-1595 (2022) - [j29]Tibor Péter Kapusi
Application of Deep Learning in the Deployment of an Industrial SCARA Machine for Real-Time Object Detection. Robotics 11(4): 69 (2022) - 2021
- [c63]István Lakatos, András Hajdu, Balázs Harangi:
Molecule Classification Using Visualization and Convolutional Neural Network. ISBI 2021: 1695-1698 - 2020
- [j28]Balázs Harangi, Agnes Baran, András Hajdu:
Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support. Biomed. Signal Process. Control. 62: 102041 (2020) - [j27]János Tóth
Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing. Pattern Recognit. 107: 107510 (2020) - [i8]Marcell Beregi-Kovács, Ágnes Baran, András Hajdu:
Efficient Learning of Model Weights via Changing Features During Training. CoRR abs/2002.09249 (2020) - [i7]András Hajdu, György Terdik, Attila Tiba, Henrietta Tomán:
A stochastic approach to handle knapsack problems in the creation of ensembles. CoRR abs/2004.08101 (2020)
2010 – 2019
- 2019
- [j26]András Hajdu
Finding well approximating lattices for a finite set of points. Math. Comput. 88(315): 369-387 (2019) - [c62]Oktavian Lantang
Convolutional Neural Network For Predicting The Spread of Cancer. CogInfoCom 2019: 175-180 - [c61]Balázs Harangi, János Tóth, Agnes Baran, András Hajdu:
Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features. EMBC 2019: 2699-2702 - [c60]Balázs Harangi, János Tóth, Gergo Bogacsovics, David Kupas, Laszlo Kovacs, András Hajdu:
Cell detection on digitized Pap smear images using ensemble of conventional image processing and deep learning techniques. ISPA 2019: 38-42 - [c59]János Tóth, Tibor Péter Kapusi, Balázs Harangi, Henrietta Tomán, András Hajdu:
Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids. ISPA 2019: 43-48 - [c58]David Kupas, Peter Torok, András Hajdu, Balázs Harangi:
Visualization of Fibroid in Laparoscopy Videos using Ultrasound Image Segmentation and Augmented Reality. ISPA 2019: 60-63 - [c57]Attila Tiba
Detecting outlier and poor quality medical images with an ensemble-based deep learning system. ISPA 2019: 99-104 - [d2]Attila Tiba, András Hajdu, Henrietta Tomán, György Terdik:
Binary classifiers' outputs for ensemble creation. IEEE DataPort, 2019 - [i6]Attila Tiba, András Hajdu, György Terdik, Henrietta Tomán:
Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems. CoRR abs/1904.04360 (2019) - 2018
- [c56]Péter Burai, András Hajdu
Segmentation of the uterine wall by an ensemble of fully convolutional neural networks. EMBC 2018: 49-52 - [c55]Balázs Harangi, Agnes Baran, András Hajdu
Classification Of Skin Lesions Using An Ensemble Of Deep Neural Networks. EMBC 2018: 2575-2578 - [c54]Balázs Harangi, János Tóth, András Hajdu
Fusion of Deep Convolutional Neural Networks for Microaneurysm Detection in Color Fundus Images. EMBC 2018: 3705-3708 - 2017
- [c53]Melinda Pap, Balázs Harangi, András Hajdu
Automatic Pigment Network Classification Using a Combination of Classical Texture Descriptors and CNN Features. CBMS 2017: 343-348 - [c52]Balázs Harangi, András Hajdu
Recognizing Ureter and Uterine Artery in Endoscopic Images Using a Convolutional Neural Network. CBMS 2017: 726-727 - [c51]Balázs Harangi, András Hajdu
Differentiating ureter and arteries in the pelvic via endoscope using deep neural network. ISPA 2017: 86-89 - [c50]Attila Tiba
Efficient texture regularity estimation for second order statistical descriptors. ISPA 2017: 90-94 - 2016
- [j25]György Kovács
A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction. Medical Image Anal. 29: 24-46 (2016) - [c49]András Hajdu
Composing ensembles by a stochastic approach under execution time constraint. ICPR 2016: 222-227 - [c48]András Hajdu
Measuring regularity of network patterns by grid approximations using the LLL algorithm. ICPR 2016: 1524-1529 - 2015
- [j24]Balázs Harangi
Detection of the optic disc in fundus images by combining probability models. Comput. Biol. Medicine 65: 10-24 (2015) - [j23]István Lázár, András Hajdu
Segmentation of retinal vessels by means of directional response vector similarity and region growing. Comput. Biol. Medicine 66: 209-221 (2015) - [c47]János Tóth, Lorant Bartha, Tamás Szabó, István Lázár, Balázs Harangi, András Hajdu
An online application for storing, analyzing, and sharing dermatological data. CogInfoCom 2015: 339-342 - [c46]János Tóth, Henrietta Tomán, András Hajdu
Improving the performance of an ensemble-based exudate detection system using stochastic parameter optimization. EMBC 2015: 5243-5246 - [c45]Ramin Karimi, András Hajdu
SRIdent: A novel pipeline for real-time identification of species from high-throughput sequencing reads in Metagenomics and clinical diagnostic assays. EMBC 2015: 6481-6484 - [c44]Renátó Besenczi, Kristóf Szitha, Balázs Harangi, Adrienne Csutak, András Hajdu
Automatic optic disc and optic cup detection in retinal images acquired by mobile phone. ISPA 2015: 193-198 - 2014
- [j22]Balázs Harangi
Automatic exudate detection by fusing multiple active contours and regionwise classification. Comput. Biol. Medicine 54: 156-171 (2014) - [j21]Bálint Antal
An ensemble-based system for automatic screening of diabetic retinopathy. Knowl. Based Syst. 60: 20-27 (2014) - [c43]Renátó Besenczi, Kristóf Szitha, András Hajdu
A framework for distributed processing on an offline cell phone network. CogInfoCom 2014: 257-262 - [c42]János Tóth, Laszlo Kovacs, Balázs Harangi, Csaba Kiss, Andras Mohacsi, Zoltan Orosz, András Hajdu
An online benchmark system for image processing algorithms. CogInfoCom 2014: 377-382 - [c41]János Tóth, Laszlo Kovacs, Balázs Harangi, Csaba Kiss, Andras Mohacsi, Zoltan Orosz, András Hajdu
An online system for algorithm benchmarking. CogInfoCom 2014: 383 - [c40]Renátó Besenczi, Kristóf Szitha, András Hajdu
Distributed eye lesion detection on an offline cell phone network. CogInfoCom 2014: 467 - [c39]Balázs Harangi, András Hajdu
Detection of exudates in fundus images using a Markovian segmentation model. EMBC 2014: 130-133 - [c38]János Tóth, Laszlo Szakacs, András Hajdu
Finding the optimal parameter setting for an ensemble-based lesion detector. ICIP 2014: 3532-3536 - [c37]Ramin Karimi, Ladjel Bellatreche, Patrick Girard, Ahcène Boukorca, András Hajdu
BINOS4DNA: Bitmap Indexes and NoSQL for Identifying Species with DNA Signatures through Metagenomics Samples. ITBAM 2014: 1-14 - [d1]Bálint Antal, András Hajdu:
Diabetic Retinopathy Debrecen Data Set. UCI Machine Learning Repository, 2014 - [i5]Bálint Antal, Bence Remenyik, András Hajdu:
An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation. CoRR abs/1410.7265 (2014) - [i4]Bálint Antal, András Hajdu:
An ensemble-based system for automatic screening of diabetic retinopathy. CoRR abs/1410.8576 (2014) - [i3]Bálint Antal, András Hajdu:
An Ensemble-based System for Microaneurysm Detection and Diabetic Retinopathy Grading. CoRR abs/1410.8577 (2014) - [i2]Bálint Antal, András Hajdu, Zsuzsanna Maros-Szabó, Zsolt Török, Adrienne Csutak, Tünde Petö:
A Two-phase Decision Support Framework for the Automatic Screening of Digital Fundus Images. CoRR abs/1411.0130 (2014) - 2013
- [j20]Bálint Antal
Improving microaneurysm detection in color fundus images by using context-aware approaches. Comput. Medical Imaging Graph. 37(5-6): 403-408 (2013) - [j19]György Kovács
Translation Invariance in the Polynomial Kernel Space and Its Applications in kNN Classification. Neural Process. Lett. 37(2): 207-233 (2013) - [j18]András Hajdu
Generalizing the Majority Voting Scheme to Spatially Constrained Voting. IEEE Trans. Image Process. 22(11): 4182-4194 (2013) - [j17]István Lázár, András Hajdu
Retinal Microaneurysm Detection Through Local Rotating Cross-Section Profile Analysis. IEEE Trans. Medical Imaging 32(2): 400-407 (2013) - [c36]János Tóth, Ildikó Papp, Róbert Tornai
Cognitive visualization for the design of complex systems. CogInfoCom 2013: 363-368 - [c35]Csaba Lamfalusi, David Girus, Kinga Kruppa
Extending the visualization capabilities of a genome browser. CogInfoCom 2013: 419-422 - [c34]András Hajdu
Diversity Measures for Majority Voting in the Spatial Domain. HAIS 2013: 314-323 - [c33]Bálint Antal, András Hajdu:
Evaluation of preprocessing methods for microaneurysm detection. ISPA 2013: 723-726 - [c32]Brigitta Nagy, Bálint Antal, András Hajdu:
Image database clustering to improve exudate detection in color fundus images. ISPA 2013: 727-731 - [c31]Balázs Harangi
Improving automatic exudate detection based on the fusion of the results of multiple active contours. ISBI 2013: 45-48 - [c30]Bálint Antal, Bence Remenyik, András Hajdu:
An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation. SIGMAP 2013: 94-99 - 2012
- [j16]András Hajdu
Approximation of the Euclidean Distance by Chamfer Distances. Acta Cybern. 20(3): 399-417 (2012) - [j15]Rashid Jalal Qureshi, Laszlo Kovacs, Balázs Harangi
Combining algorithms for automatic detection of optic disc and macula in fundus images. Comput. Vis. Image Underst. 116(1): 138-145 (2012) - [j14]Bálint Antal
A two-phase decision support framework for the automatic screening of digital fundus images. J. Comput. Sci. 3(5): 262-268 (2012) - [j13]Bálint Antal
Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods. Pattern Recognit. 45(1): 264-270 (2012) - [j12]Bálint Antal
An Ensemble-Based System for Microaneurysm Detection and Diabetic Retinopathy Grading. IEEE Trans. Biomed. Eng. 59(6): 1720-1726 (2012) - [c29]Balázs Harangi
Automatic exudate detection with improved Naïve-Bayes classifier. CBMS 2012: 1-4 - [c28]Brigitta Nagy, Bálint Antal
Image database clustering to improve microaneurysm detection in color fundus images. CBMS 2012: 1-6 - [c27]András Hajdu
An ensemble-based collaborative framework to support customized user needs. CogInfoCom 2012: 285-290 - [c26]István Lázár, András Hajdu
Segmentation of vessels in retinal images based on directional height statistics. EMBC 2012: 1458-1461 - [c25]Balázs Harangi
Automatic exudate detection using active contour model and regionwise classification. EMBC 2012: 5951-5954 - [c24]Bálint Antal
An adaptive weighting approach for ensemble-based detection of microaneurysms in color fundus images. EMBC 2012: 5955-5958 - [c23]Henrietta Tomán, Laszlo Kovacs, Agnes Jonas, Lajos Hajdu, András Hajdu
Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output. HAIS (2) 2012: 56-67 - [c22]Balázs Harangi
Improving the accuracy of optic disc detection by finding maximal weighted clique of multiple candidates of individual detectors. ISBI 2012: 602-605 - [i1]András Hajdu, Lajos Hajdu, Robert Tijdeman:
Approximations of the Euclidean distance by chamfer distances. CoRR abs/1201.0876 (2012) - 2011
- [j11]Bálint Antal, András Hajdu
A Stochastic Approach to Improve Macula Detection in Retinal Images. Acta Cybern. 20(1): 5-15 (2011) - [c21]Bálint Antal
Evaluation of the grading performance of an ensemble-based microaneurysm detector. EMBC 2011: 5943-5946 - [c20]Henrietta Tomán
A Generalization of Majority Voting Scheme for Medical Image Detectors. HAIS (2) 2011: 189-196 - [c19]Bálint Antal
An ensemble-based microaneurysm detector for retinal images. ICIP 2011: 1621-1624 - [c18]György Kovács, Attila Fazekas, András Hajdu:
Exponential contrast maximization of intensity images. ISPA 2011: 139-142 - [c17]Brigitta Nagy, Balázs Harangi, Bálint Antal, András Hajdu:
Ensemble-based exudate detection in color fundus images. ISPA 2011: 700-703 - [c16]György Kovács
Extraction of vascular system in retina images using Averaged One-Dependence Estimators and orientation estimation in Hidden Markov Random Fields. ISBI 2011: 693-696 - [c15]István Lázár, András Hajdu
Microaneurysm detection in retinal images using a rotating cross-section based model. ISBI 2011: 1405-1409 - 2010
- [c14]Bálint Antal, András Hajdu:
Improving microaneurysm detection in color fundus images by using an optimal combination of preprocessing methods and candidate extractors. EUSIPCO 2010: 1224-1228 - [c13]Bálint Antal
An Ensemble Approach to Improve Microaneurysm Candidate Extraction. ICETE (Selected Papers) 2010: 378-391 - [c12]Balázs Harangi
Automatic detection of the optic disc using majority voting in a collection of optic disc detectors. ISBI 2010: 1329-1332 - [c11]Bálint Antal, István Lázár, András Hajdu:
An Optimal Voting Scheme for Microaneurysm Candidate Extractors using Simulated Annealing. SIGMAP 2010: 80-87 - [c10]Bálint Antal, András Hajdu, Adrienne Csutak, Tünde Petö:
A Two-phase Pre-filtering Approach to the Automatic Screening of Digital Fundus Images. SIGMAP 2010: 155-158
2000 – 2009
- 2009
- [c9]Roland Harangozo, Peter Veres, András Hajdu
Subsampling strategies to improve learning-based retina vessel segmentation. ICIP 2009: 3349-3352 - 2008
- [j10]András Hajdu
Approximating non-metrical Minkowski distances in 2D. Pattern Recognit. Lett. 29(6): 813-821 (2008) - [j9]András Hajdu
Piecewise Linear Digital Curve Representation and Compression Using Graph Theory and a Line Segment Alphabet. IEEE Trans. Image Process. 17(2): 126-133 (2008) - 2007
- [j8]András Hajdu
General neighborhood sequences in Zn. Discret. Appl. Math. 155(18): 2507-2522 (2007) - [j7]András Hajdu
Optimal Approach for Fast Object-Template Matching. IEEE Trans. Image Process. 16(8): 2048-2057 (2007) - [c8]András Hajdu
Content Adaptive Heterogeneous Snakes. ICIP (1) 2007: 253-256 - [c7]András Hajdu
Compression Optimized Tracing of Digital Curves using Graph Theory. ICIP (6) 2007: 453-456 - [c6]András Hajdu
Tracing on heterogeneous grids to improve the concavity performance of snake algorithms. ISSPA 2007: 1-4 - 2006
- [j6]András Hajdu, János Kormos, Zsolt Lencse, Lajos Trón, Miklós Emri:
The "MEDIP-Platform Independent Software System for Medical Image Processing" Project. J. Univers. Comput. Sci. 12(9): 1229-1239 (2006) - [j5]András Hajdu, János Kormos, Tamás Tóth, Kristian Vereb:
Applications of Neighborhood Sequence in Image Processing and Database Retrieval. J. Univers. Comput. Sci. 12(9): 1240-1253 (2006) - [c5]András Hajdu, Lajos Hajdu:
On the Lattice Structure of Subsets of Octagonal Neighborhood Sequences in \mathbb Zn. DGCI 2006: 211-222 - [c4]Stylianos Asteriadis, Nikolaos Nikolaidis, András Hajdu, Ioannis Pitas:
A novel eye detection algorithm utilizing edge-related geometrical information. EUSIPCO 2006: 1-5 - [c3]András Hajdu
Optimized Chamfer Matching for Snake-Based Image Contour Representations. ICME 2006: 1017-1020 - 2005
- [j4]Attila Fazekas
Metrical neighborhood sequences in Zn. Pattern Recognit. Lett. 26(13): 2022-2032 (2005) - [c2]Attila Fazekas
Neighborhood Sequences and Their Applications in the Digital Image Processing. CAIP 2005: 766-772 - 2004
- [j3]András Hajdu
Approximating the Euclidean distance using non-periodic neighbourhood sequences. Discret. Math. 283(1-3): 101-111 (2004) - 2003
- [j2]András Hajdu, Lajos Hajdu:
Velocity and Distance of Neighbourhood Sequences. Acta Cybern. 16(1): 133-145 (2003) - [j1]András Hajdu
Geometry of neighbourhood sequences. Pattern Recognit. Lett. 24(15): 2597-2606 (2003) - [c1]András Hajdu, Benedek Nagy, Zoltán Zörgö:
Indexing and segmenting colour images using neighbourhood sequences. ICIP (1) 2003: 957-960
Coauthor Index
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