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ORCIDNicolai Petkov
Nikolai Petkov
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- affiliation: University of Groningen, Netherlands
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2020 – today
- 2024
[c85]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Regressing Transformers for Data-efficient Visual Place Recognition. ICRA 2024: 15898-15904- [i20]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Regressing Transformers for Data-efficient Visual Place Recognition. CoRR abs/2401.16304 (2024) - 2023
- [c84]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision. CVPR 2023: 23487-23496 - [c83]Nicolai Petkov:
Keynote Address: Improving Contour Detection by Surround Suppression of Texture. SMAP 2023: 1 - [i19]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision. CoRR abs/2303.11739 (2023) - 2022
- [j68]Ahmad Alsahaf, Nicolai Petkov, Vikram Shenoy, George Azzopardi
:
A framework for feature selection through boosting. Expert Syst. Appl. 187: 115895 (2022) - [j67]David Fernández Chaves, José-Raúl Ruiz-Sarmiento, Alberto Jaenal, Nicolai Petkov, Javier González Jiménez:
[email protected], an ecosystem of virtual environments and tools for realistic indoor robotic simulation. Expert Syst. Appl. 208: 117970 (2022) - [j66]José Luis Matez-Bandera, David Fernández Chaves, José-Raúl Ruiz-Sarmiento, Javier Monroy, Nicolai Petkov, Javier González Jiménez:
LTC-Mapping, Enhancing Long-Term Consistency of Object-Oriented Semantic Maps in Robotics. Sensors 22(14): 5308 (2022) - 2021
- [j65]David Fernández Chaves, José-Raúl Ruiz-Sarmiento, Nicolai Petkov, Javier González Jiménez:
ViMantic, a distributed robotic architecture for semantic mapping in indoor environments. Knowl. Based Syst. 232: 107440 (2021) - [c82]Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov:
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. CAIP (1) 2021: 110-119 - [c81]David Fernández Chaves, José Luis Matez-Bandera, José-Raúl Ruiz-Sarmiento, Javier Monroy, Nicolai Petkov, Javier González Jiménez:
Exploiting Spatio-Temporal Coherence for Video Object Detection in Robotics. CAIP (2) 2021: 186-196 - [e11]Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov:
Brain-Inspired Computing - 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12339, Springer 2021, ISBN 978-3-030-82426-6 [contents] - [i18]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Generalized Contrastive Optimization of Siamese Networks for Place Recognition. CoRR abs/2103.06638 (2021) - 2020
- [j64]Melpo Pittara, Maria Matsangidou, Kyriakos Stylianides, Nicolai Petkov, Constantinos S. Pattichis:
Virtual Reality for Pain Management in Cancer: A Comprehensive Review. IEEE Access 8: 225475-225489 (2020) - [j63]Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov:
Modular domain-to-domain translation network. Neural Comput. Appl. 32(11): 6779-6791 (2020) - [j62]Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov:
Enhanced robustness of convolutional networks with a push-pull inhibition layer. Neural Comput. Appl. 32(24): 17957-17971 (2020) - [j61]Estefanía Talavera, Carolin Wuerich, Nicolai Petkov, Petia Radeva:
Topic modelling for routine discovery from egocentric photo-streams. Pattern Recognit. 104: 107330 (2020) - [j60]Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov, Michael H. F. Wilkinson:
Efficient binocular stereo correspondence matching with 1-D Max-Trees. Pattern Recognit. Lett. 135: 402-408 (2020) - [j59]Antonio Greco, Nicolai Petkov, Alessia Saggese, Mario Vento:
AReN: A Deep Learning Approach for Sound Event Recognition Using a Brain Inspired Representation. IEEE Trans. Inf. Forensics Secur. 15: 3610-3624 (2020) - [j58]Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva:
Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. IEEE J. Biomed. Health Informatics 24(3): 866-877 (2020) - [e10]Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso-González:
APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, APPIS 2020, Las Palmas de Gran Canaria Spain, 7-9 January 2020. ACM 2020, ISBN 978-1-4503-7630-3 [contents] - [i17]Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov:
MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees. CoRR abs/2006.15373 (2020)
2010 – 2019
- 2019
- [j57]Jiapan Guo, George Azzopardi, Chenyu Shi, Nomdo M. Jansonius, Nicolai Petkov:
Automatic Determination of Vertical Cup-to-Disc Ratio in Retinal Fundus Images for Glaucoma Screening. IEEE Access 7: 8527-8541 (2019) - [j56]Ahmad Alsahaf, George Azzopardi, Bart Ducro, Egiel Hanenberg, Roel F. Veerkamp, Nicolai Petkov:
Estimation of Muscle Scores of Live Pigs Using a Kinect Camera. IEEE Access 7: 52238-52245 (2019) - [j55]Maria Leyva-Vallina, Nicola Strisciuglio, Manuel Lopez-Antequera, Radim Tylecek, Michael Blaich, Nicolai Petkov:
TB-Places: A Data Set for Visual Place Recognition in Garden Environments. IEEE Access 7: 52277-52287 (2019) - [j54]Manuel Lopez-Antequera, Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Place and Object Recognition by CNN-Based COSFIRE Filters. IEEE Access 7: 66157-66166 (2019) - [j53]Chenyu Shi, Joost M. Meijer, Jiapan Guo, George Azzopardi, Gilles F. H. Diercksr, Enno Schmidt, Detlef Zillikens, Marcel F. Jonkman, Nicolai Petkov:
Detection of u-serrated patterns in direct immunofluorescence images of autoimmune bullous diseases by inhibition-augmented COSFIRE filters. Int. J. Medical Informatics 122: 27-36 (2019) - [j52]Mohammad Mohammadi, Nicolai Petkov, Kerstin Bunte, Reynier F. Peletier, Frank-Michael Schleif:
Globular cluster detection in the GAIA survey. Neurocomputing 342: 164-171 (2019) - [j51]Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning representations of sound using trainable COPE feature extractors. Pattern Recognit. 92: 25-36 (2019) - [j50]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning skeleton representations for human action recognition. Pattern Recognit. Lett. 118: 23-31 (2019) - [j49]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures. IEEE Trans. Image Process. 28(12): 5852-5866 (2019) - [j48]Eirini C. Schiza, Theodoros C. Kyprianou, Nicolai Petkov, Christos N. Schizas:
Proposal for an eHealth Based Ecosystem Serving National Healthcare. IEEE J. Biomed. Health Informatics 23(3): 1346-1357 (2019) - [c80]Nicola Strisciuglio, Nicolai Petkov:
Brain-Inspired Algorithms for Processing of Visual Data. BrainComp 2019: 105-115 - [c79]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. CAIP (1) 2019: 324-335 - [c78]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised Routine Discovery in Egocentric Photo-Streams. CAIP (1) 2019: 576-588 - [c77]Nicola Strisciuglio, Nicolai Petkov:
Trainable COPE Features for Sound Event Detection. CIARP 2019: 599-609 - [c76]David Chaves, José-Raúl Ruiz-Sarmiento, Nicolai Petkov, Javier González Jiménez:
Integration of CNN into a Robotic Architecture to Build Semantic Maps of Indoor Environments. IWANN (2) 2019: 313-324 - [c75]Ángel Manuel Guerrero-Higueras, Lidia Sánchez-González, Miguel Ángel Conde, Francisco J. Rodríguez-Lera, Manuel Castejón Limas, Nicolai Petkov:
Facilitating the learning process in parallel computing by using instant messaging. TEEM 2019: 558-563 - [e9]Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso:
Proceedings of the 2nd International Conference on Applications of Intelligent Systems, APPIS 2019, Las Palmas de Gran Canaria, Spain, January 07-09, 2019. ACM 2019, ISBN 978-1-4503-6085-2 [contents] - [i16]Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning sound representations using trainable COPE feature extractors. CoRR abs/1901.06904 (2019) - [i15]Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov:
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks. CoRR abs/1901.10208 (2019) - [i14]Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-identification and Social Pattern Analysis. CoRR abs/1905.04073 (2019) - [i13]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised routine discovery in egocentric photo-streams. CoRR abs/1905.04076 (2019) - [i12]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. CoRR abs/1905.04093 (2019) - [i11]Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva:
Hierarchical approach to classify food scenes in egocentric photo-streams. CoRR abs/1905.04097 (2019) - [i10]Estefanía Talavera, Petia Radeva, Nicolai Petkov:
Towards Emotion Retrieval in Egocentric PhotoStream. CoRR abs/1905.04107 (2019) - [i9]Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov:
Place recognition in gardens by learning visual representations: data set and benchmark analysis. CoRR abs/1906.12151 (2019) - 2018
- [c74]Ahmad Alsahaf, George Azzopardi, Bart Ducro, Roel F. Veerkamp, Nicolai Petkov:
Predicting Slaughter Weight in Pigs with Regression Tree Ensembles. APPIS 2018: 1-9 - [c73]Mohammad Mohammadi, Nicolai Petkov, Reynier F. Peletier, Pedro Bibiloni, Kerstin Bunte:
Detection of Globular Clusters in the Halo of Milky Way. APPIS 2018: 70-78 - [c72]Juan Buhagiar, Nicola Strisciuglio, Nicolai Petkov, George Azzopardi:
Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging. APPIS 2018: 194-202 - [c71]Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-Identification and Social Pattern Analysis. APPIS 2018: 203-211 - [c70]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Brain-Inspired Robust Delineation Operator. ECCV Workshops (3) 2018: 555-565 - [c69]Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte:
Globular Cluster Detection in the Gaia Survey. ESANN 2018 - [c68]Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov:
Modular Domain-to-Domain Translation Network. ICANN (3) 2018: 425-435 - [c67]Nicola Strisciuglio, Maria Leyva-Vallina, Nicolai Petkov, Rafael Muñoz-Salinas:
Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. IWOBI 2018: 1-6 - [e8]Nicolai Petkov, Nicola Strisciuglio, Carlos Manuel Travieso-González:
Applications of Intelligent Systems - Proceedings of the 1st International APPIS Conference 2018, Las Palmas de Gran Canaria, Spain, 8-12 January 2018. Frontiers in Artificial Intelligence and Applications 310, IOS Press 2018, ISBN 978-1-61499-928-7 [contents] - [e7]Leszek J. Chmielewski, Ryszard Kozera, Arkadiusz Orlowski, Konrad Wojciechowski, Alfred M. Bruckstein, Nicolai Petkov:
Computer Vision and Graphics - International Conference, ICCVG 2018, Warsaw, Poland, September 17-19, 2018, Proceedings. Lecture Notes in Computer Science 11114, Springer 2018, ISBN 978-3-030-00691-4 [contents] - [i8]Nicola Strisciuglio, Radim Tylecek, Nicolai Petkov, Peter Bieber, Jochen Hemming, Eldert J. van Henten, Torsten Sattler, Marc Pollefeys, Theo Gevers, Thomas Brox, Robert B. Fisher:
TrimBot2020: an outdoor robot for automatic gardening. CoRR abs/1804.01792 (2018) - [i7]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Brain-inspired robust delineation operator. CoRR abs/1811.10240 (2018) - 2017
- [j47]Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov:
Inhibition-augmented COSFIRE model of shape-selective neurons. IBM J. Res. Dev. 61(2/3): 10:1-10:9 (2017) - [j46]Baris Gecer, George Azzopardi, Nicolai Petkov:
Color-blob-based COSFIRE filters for object recognition. Image Vis. Comput. 57: 165-174 (2017) - [j45]Manuel Lopez-Antequera, Ruben Gomez-Ojeda, Nicolai Petkov, Javier González Jiménez:
Appearance-invariant place recognition by discriminatively training a convolutional neural network. Pattern Recognit. Lett. 92: 89-95 (2017) - [c66]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
A real-time system for audio source localization with cheap sensor device. AVSS 2017: 1-7 - [c65]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation. CAIP (1) 2017: 108-120 - [c64]Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez:
City-scale continuous visual localization. ECMR 2017: 1-6 - [c63]Manuel Lopez-Antequera, Javier González Jiménez, Nicolai Petkov:
Evaluation of Whole-Image Descriptors for Metric Localization. EUROCAST (2) 2017: 281-288 - [c62]Estefanía Talavera, Petia Radeva, Nicolai Petkov:
Towards Egocentric Sentiment Analysis. EUROCAST (2) 2017: 297-305 - [c61]Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva:
Sentiment Recognition in Egocentric Photostreams. IbPRIA 2017: 471-479 - [c60]Andreas C. Neocleous, Costas Neocleous, Christos N. Schizas, Michael Biehl, Nicolai Petkov:
Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization. IJCNN 2017: 3704-3708 - [c59]Nicola Strisciuglio, Nicolai Petkov:
Delineation of line patterns in images using B-COSFIRE filters. IWOBI 2017: 1-6 - [i6]Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva:
Sentiment Recognition in Egocentric Photostreams. CoRR abs/1703.09933 (2017) - [i5]Nicola Strisciuglio, Nicolai Petkov:
Delineation of line patterns in images using B-COSFIRE filters. CoRR abs/1707.07438 (2017) - [i4]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Detection of curved lines with B-COSFIRE filters: A case study on crack delineation. CoRR abs/1707.07747 (2017) - [i3]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Action recognition by learning pose representations. CoRR abs/1708.00672 (2017) - 2016
- [j44]George Azzopardi, Nicolai Petkov:
Special issue on selected papers from CAIP 2015. Mach. Vis. Appl. 27(8): 1115 (2016) - [j43]Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov:
Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters. Mach. Vis. Appl. 27(8): 1137-1149 (2016) - [j42]Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov:
Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition. Mach. Vis. Appl. 27(8): 1197-1211 (2016) - [j41]Frank-Michael Schleif, Barbara Hammer, Javier Gonzalez Monroy, Javier González Jiménez, José-Luis Blanco-Claraco, Michael Biehl, Nicolai Petkov:
Odor recognition in robotics applications by discriminative time-series modeling. Pattern Anal. Appl. 19(1): 207-220 (2016) - [j40]Ando Celino Emerencia, Lian van der Krieke, Elisabeth H. Bos, Peter de Jonge, Nicolai Petkov, Marco Aiello:
Automating Vector Autoregression on Electronic Patient Diary Data. IEEE J. Biomed. Health Informatics 20(2): 631-643 (2016) - [j39]Pasquale Foggia, Nicolai Petkov, Alessia Saggese, Nicola Strisciuglio, Mario Vento:
Audio Surveillance of Roads: A System for Detecting Anomalous Sounds. IEEE Trans. Intell. Transp. Syst. 17(1): 279-288 (2016) - [c58]Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Time-frequency analysis for audio event detection in real scenarios. AVSS 2016: 438-443 - [c57]George Azzopardi, Laura Fernández-Robles, Enrique Alegre, Nicolai Petkov:
Increased generalization capability of trainable COSFIRE filters with application to machine vision. ICPR 2016: 3356-3361 - [c56]Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez:
Image-based localization using Gaussian Processes. IPIN 2016: 1-7 - [e6]Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov:
Brain-Inspired Computing - Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers. Lecture Notes in Computer Science 10087, Springer 2016, ISBN 978-3-319-50861-0 [contents] - 2015
- [j38]Ioannis Giotis, Nynke Molders, Sander Land, Michael Biehl, Marcel F. Jonkman, Nicolai Petkov:
MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images. Expert Syst. Appl. 42(19): 6578-6585 (2015) - [j37]George Azzopardi, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Trainable COSFIRE filters for vessel delineation with application to retinal images. Medical Image Anal. 19(1): 46-57 (2015) - [j36]Pasquale Foggia, Nicolai Petkov, Alessia Saggese, Nicola Strisciuglio, Mario Vento:
Reliable detection of audio events in highly noisy environments. Pattern Recognit. Lett. 65: 22-28 (2015) - [c55]Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Car crashes detection by audio analysis in crowded roads. AVSS 2015: 1-6 - [c54]Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Bio-Inspired Filters for Audio Analysis. BrainComp 2015: 101-115 - [c53]Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov:
Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. CAIP (2) 2015: 300-312 - [c52]Laura Fernández-Robles, George Azzopardi, Enrique Alegre, Nicolai Petkov:
Cutting Edge Localisation in an Edge Profile Milling Head. CAIP (2) 2015: 336-347 - [c51]Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov:
Recognition of Architectural and Electrical Symbols by COSFIRE Filters with Inhibition. CAIP (2) 2015: 348-358 - [c50]Chenyu Shi, Jiapan Guo, George Azzopardi, Joost M. Meijer, Marcel F. Jonkman, Nicolai Petkov:
Automatic Differentiation of u- and n-serrated Patterns in Direct Immunofluorescence Images. CAIP (1) 2015: 513-521 - [c49]Andreas C. Neocleous, George Azzopardi, Christos N. Schizas, Nicolai Petkov:
Filter-Based Approach for Ornamentation Detection and Recognition in Singing Folk Music. CAIP (1) 2015: 558-569 - [c48]Eirini C. Schiza, George Panos, Christiana David, Nicolai Petkov, Christos N. Schizas:
Integrated Electronic Health Record Database Management System: A Proposal. ICIMTH 2015: 187-190 - [e5]George Azzopardi, Nicolai Petkov:
Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015 Proceedings, Part I. Lecture Notes in Computer Science 9256, Springer 2015, ISBN 978-3-319-23191-4 [contents] - [e4]George Azzopardi, Nicolai Petkov:
Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9257, Springer 2015, ISBN 978-3-319-23116-7 [contents] - [i2]Ruben Gomez-Ojeda, Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez:
Training a Convolutional Neural Network for Appearance-Invariant Place Recognition. CoRR abs/1505.07428 (2015) - 2014
- [j35]George Azzopardi, Nicolai Petkov:
Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models. Frontiers Comput. Neurosci. 8: 80 (2014) - [j34]Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl:
Erratum to: Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. 48(1): 202 (2014) - [c47]Zhe Sun, Marco A. Wiering, Nicolai Petkov:
Classification system for mortgage arrear management. CIFEr 2014: 489-496 - [c46]Andreas C. Neocleous, Nicolai Petkov, Christos N. Schizas:
Automated Segmentation of Folk Songs Using Artificial Neural Networks. IJCCI (NCTA) 2014: 144-151 - [e3]Lucio Grandinetti, Thomas Lippert, Nicolai Petkov:
Brain-Inspired Computing - International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8603, Springer 2014, ISBN 978-3-319-12083-6 [contents] - 2013
- [j33]Ando Emerencia, Lian van der Krieke, Sjoerd Sytema, Nicolai Petkov, Marco Aiello:
Generating personalized advice for schizophrenia patients. Artif. Intell. Medicine 58(1): 23-36 (2013) - [j32]Enrique Alegre, Michael Biehl, Nicolai Petkov, Lidia Sánchez:
Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ. Comput. Methods Programs Biomed. 111(3): 525-536 (2013) - [j31]Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl:
Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. 47(1-2): 79-92 (2013) - [j30]George Azzopardi, Nicolai Petkov:
Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters. Pattern Recognit. Lett. 34(8): 922-933 (2013) - [c45]George Azzopardi, Nicolai Petkov:
COSFIRE: A Brain-Inspired Approach to Visual Pattern Recognition. BrainComp 2013: 76-87 - [c44]George Azzopardi, Nicolai Petkov:
A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits. CAIP (2) 2013: 9-16 - 2012
- [j29]George Azzopardi, Nicolai Petkov:
A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model. Biol. Cybern. 106(3): 177-189 (2012) - [j28]Ioannis Giotis, Nicolai Petkov:
Cluster-based adaptive metric classification. Neurocomputing 81: 33-40 (2012) - [j27]Ioannis Giotis, Nicolai Petkov:
Corrigendum to "Cluster-based adaptive metric classification" [Neurocomputing 81 (2012) 33-40]. Neurocomputing 91: 90 (2012) - [j26]