Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDRadu Tudor Ionescu
Person information
- affiliation: University of Bucharest, Department of Computer Science, Romania
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j13]Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe
:
Curriculum self-paced learning for cross-domain object detection. Comput. Vis. Image Underst. 204: 103166 (2021)- [c68]Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu:
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles. ACL/IJCNLP (2) 2021: 1073-1079 - [c67]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar:
Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks. CVPR Workshops 2021: 3209-3214 - [c66]Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. CVPR 2021: 12742-12752 - [c65]Anca Maria Tache, Mihaela Gaman, Radu Tudor Ionescu:
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set. EACL 2021: 949-956 - [c64]Radu Tudor Ionescu, Adrian-Gabriel Chifu:
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. IJCNN 2021: 1-8 - [c63]Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Hervé Luga, Josiane Mothe:
Natural vs balanced distribution in deep learning on whole slide images for cancer detection. SAC 2021: 18-25 - [c62]Bharathi Raja Chakravarthi, Mihaela Gaman, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lindén, Nikola Ljubesic, Niko Partanen, Ruba Priyadharshini, Christoph Purschke, Rajagopal Eswari, Yves Scherrer, Marcos Zampieri:
Findings of the VarDial Evaluation Campaign 2021. VarDial@EACL 2021: 1-11 - [c61]Mihaela Gaman, Sebastian Cojocariu, Radu Tudor Ionescu:
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning. VarDial@EACL 2021: 84-95 - [c60]Adrian Sandru, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
SuPEr - SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition. WACV 2021: 2816-2825 - [i53]Anca Maria Tache, Mihaela Gaman, Radu Tudor Ionescu:
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set. CoRR abs/2101.04197 (2021) - [i52]Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe:
Curriculum Learning: A Survey. CoRR abs/2101.10382 (2021) - [i51]Mihaela Gaman, Sebastian Cojocariu, Radu Tudor Ionescu:
UnibucKernel: Geolocating Swiss-German Jodels Using Ensemble Learning. CoRR abs/2102.09379 (2021) - [i50]Mihail Burduja, Radu Tudor Ionescu:
Unsupervised Medical Image Alignment with Curriculum Learning. CoRR abs/2102.10438 (2021) - [i49]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Self-paced ensemble learning for speech and audio classification. CoRR abs/2103.11988 (2021) - [i48]Radu Tudor Ionescu, Adrian-Gabriel Chifu:
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. CoRR abs/2104.04828 (2021) - [i47]Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu:
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles. CoRR abs/2105.06456 (2021) - [i46]Cezara Benegui, Radu Tudor Ionescu:
Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution. CoRR abs/2107.10536 (2021) - [i45]Ionut Cosmin Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Contextual Convolutional Neural Networks. CoRR abs/2108.07387 (2021) - [i44]Tudor Mare, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Adrian Sandru, Bogdan Alexe, Marius Popescu, Radu Tudor Ionescu:
A realistic approach to generate masked faces applied on two novel masked face recognition data sets. CoRR abs/2109.01745 (2021) - 2020
- [j12]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Verga:
Convolutional Neural Networks With Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. IEEE Access 8: 49112-49124 (2020) - [j11]Cezara Benegui, Radu Tudor Ionescu:
Convolutional Neural Networks for User Identification Based on Motion Sensors Represented as Images. IEEE Access 8: 61255-61266 (2020) - [j10]Mihail Burduja, Radu Tudor Ionescu, Nicolae Verga:
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks. Sensors 20(19): 5611 (2020) - [c59]Cezara Benegui, Radu Tudor Ionescu:
A Breach into the Authentication with Built-in Camera (ABC) Protocol. ACNS (2) 2020: 3-20 - [c58]Cezara Benegui, Radu Tudor Ionescu:
Adversarial Attacks on Deep Learning Systems for User Identification Based on Motion Sensors. ICONIP (5) 2020: 752-761 - [c57]Cezara Benegui, Radu Tudor Ionescu:
To Augment or Not to Augment? Data Augmentation in User Identification Based on Motion Sensors. ICONIP (5) 2020: 822-831 - [c56]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion. ICPR 2020: 2288-2295 - [c55]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Are you Wearing a Mask? Improving Mask Detection from Speech Using Augmentation by Cycle-Consistent GANs. INTERSPEECH 2020: 2102-2106 - [c54]Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu:
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms. NeurIPS 2020 - [c53]Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu:
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. ECML/PKDD (2) 2020: 190-205 - [c52]Sébastien Déjean, Radu Tudor Ionescu, Josiane Mothe, Md Zia Ullah:
Forward and backward feature selection for query performance prediction. SAC 2020: 690-697 - [c51]Mihaela Gaman, Dirk Hovy, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lindén, Nikola Ljubesic, Niko Partanen, Christoph Purschke, Yves Scherrer, Marcos Zampieri:
A Report on the VarDial Evaluation Campaign 2020. VarDial@COLING 2020: 1-14 - [c50]Mihaela Gaman, Radu Tudor Ionescu:
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets. VarDial@COLING 2020: 242-253 - [c49]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation. VTC-Fall 2020: 1-5 - [c48]Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu:
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). WACV 2020: 3452-3461 - [i43]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Verga:
Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. CoRR abs/2001.01330 (2020) - [i42]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae-Catalin Ristea, Nicu Sebe:
Non-linear Neurons with Human-like Apical Dendrite Activations. CoRR abs/2003.03229 (2020) - [i41]Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu:
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. CoRR abs/2006.03896 (2020) - [i40]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs. CoRR abs/2006.10147 (2020) - [i39]Mihaela Gaman, Radu Tudor Ionescu:
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification. CoRR abs/2007.15700 (2020) - [i38]Mihail Burduja, Radu Tudor Ionescu, Nicolae Verga:
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks. CoRR abs/2008.00302 (2020) - [i37]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion. CoRR abs/2008.01003 (2020) - [i36]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Estimating Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks. CoRR abs/2008.05948 (2020) - [i35]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video. CoRR abs/2008.12328 (2020) - [i34]Cezara Benegui, Radu Tudor Ionescu:
To augment or not to augment? Data augmentation in user identification based on motion sensors. CoRR abs/2009.00300 (2020) - [i33]Cezara Benegui, Radu Tudor Ionescu:
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors. CoRR abs/2009.01109 (2020) - [i32]Adrian Sandru, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition. CoRR abs/2009.12339 (2020) - [i31]Mihaela Gaman, Radu Tudor Ionescu:
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets. CoRR abs/2010.03614 (2020) - [i30]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar:
Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks. CoRR abs/2010.10357 (2020) - [i29]Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu:
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms. CoRR abs/2010.11158 (2020) - [i28]Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. CoRR abs/2011.07491 (2020) - [i27]Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Hervé Luga, Josiane Mothe:
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection. CoRR abs/2012.11684 (2020)
2010 – 2019
- 2019
- [j9]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Marius Popescu:
Local Learning With Deep and Handcrafted Features for Facial Expression Recognition. IEEE Access 7: 64827-64836 (2019) - [j8]Andrei M. Butnaru, Radu Tudor Ionescu:
ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation. IEEE Access 7: 120961-120975 (2019) - [c47]Andrei M. Butnaru, Radu Tudor Ionescu:
MOROCO: The Moldavian and Romanian Dialectal Corpus. ACL (1) 2019: 688-698 - [c46]Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao:
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video. CVPR 2019: 7842-7851 - [c45]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Clustering Images by Unmasking - A New Baseline. ICIP 2019: 1580-1584 - [c44]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Recognizing Facial Expressions of Occluded Faces Using Convolutional Neural Networks. ICONIP (4) 2019: 645-653 - [c43]Radu Tudor Ionescu, Andrei M. Butnaru:
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation. NAACL-HLT (1) 2019: 363-369 - [c42]Radu Tudor Ionescu, Sorina Smeureanu, Marius Popescu, Bogdan Alexe:
Detecting Abnormal Events in Video Using Narrowed Normality Clusters. WACV 2019: 1951-1960 - [i26]Andrei M. Butnaru, Radu Tudor Ionescu:
MOROCO: The Moldavian and Romanian Dialectal Corpus. CoRR abs/1901.06543 (2019) - [i25]Radu Tudor Ionescu, Andrei M. Butnaru:
Vector of Locally-Aggregated Word Embeddings (VLAWE): A novel document-level embedding. CoRR abs/1902.08850 (2019) - [i24]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Clustering Images by Unmasking - A New Baseline. CoRR abs/1905.00773 (2019) - [i23]Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu:
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). CoRR abs/1910.08967 (2019) - [i22]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks. CoRR abs/1911.04852 (2019) - [i21]Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe:
Curriculum Self-Paced Learning for Cross-Domain Object Detection. CoRR abs/1911.06849 (2019) - [i20]Cezara Benegui, Radu Tudor Ionescu:
A Convolutional Neural Network for User Identification based on Motion Sensors. CoRR abs/1912.03760 (2019) - [i19]Sébastien Déjean, Radu Tudor Ionescu, Josiane Mothe, Md Zia Ullah:
Forward and Backward Feature Selection for Query Performance Prediction. CoRR abs/1912.04107 (2019) - 2018
- [j7]Radu Tudor Ionescu, Andreea Lavinia Ionescu, Josiane Mothe, Dan Popescu:
Patch Autocorrelation Features: a translation and rotation invariant approach for image classification. Artif. Intell. Rev. 49(4): 549-580 (2018) - [c41]Madalina Cozma, Andrei M. Butnaru, Radu Tudor Ionescu:
Automated essay scoring with string kernels and word embeddings. ACL (2) 2018: 503-509 - [c40]Andrei M. Butnaru, Radu Tudor Ionescu:
UnibucKernel: A kernel-based learning method for complex word identification. BEA@NAACL-HLT 2018: 175-183 - [c39]Petru Soviany, Radu Tudor Ionescu:
Frustratingly Easy Trade-off Optimization Between Single-Stage and Two-Stage Deep Object Detectors. ECCV Workshops (4) 2018: 366-378 - [c38]Radu Tudor Ionescu, Andrei M. Butnaru:
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set. EMNLP 2018: 1084-1090 - [c37]Sorina Smeureanu, Radu Tudor Ionescu:
Real-Time Deep Learning Method for Abandoned Luggage Detection in Video. EUSIPCO 2018: 1775-1779 - [c36]Paul Andrei Bricman, Radu Tudor Ionescu:
CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values. ICONIP (2) 2018: 64-76 - [c35]Petru Soviany, Radu Tudor Ionescu:
Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors. ICONIP (2) 2018: 473-485 - [c34]Radu Tudor Ionescu, Andrei Madalin Butnaru:
Transductive Learning with String Kernels for Cross-Domain Text Classification. ICONIP (3) 2018: 484-496 - [c33]Petru Soviany, Radu Tudor Ionescu:
Optimizing the Trade-Off between Single-Stage and Two-Stage Deep Object Detectors using Image Difficulty Prediction. SYNASC 2018: 209-214 - [c32]Andrei M. Butnaru, Radu Tudor Ionescu:
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row. VarDial@COLING 2018 2018: 77-87 - [i18]Radu Tudor Ionescu, Sorina Smeureanu, Marius Popescu, Bogdan Alexe:
Detecting abnormal events in video using Narrowed Motion Clusters. CoRR abs/1801.05030 (2018) - [i17]Sorina Smeureanu, Radu Tudor Ionescu:
Real-Time Deep Learning Method for Abandoned Luggage Detection in Video. CoRR abs/1803.01160 (2018) - [i16]Andrei M. Butnaru, Radu Tudor Ionescu:
UnibucKernel: A kernel-based learning method for complex word identification. CoRR abs/1803.07602 (2018) - [i15]Petru Soviany, Radu Tudor Ionescu:
Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction. CoRR abs/1803.08707 (2018) - [i14]Madalina Cozma, Andrei M. Butnaru, Radu Tudor Ionescu:
Automated essay scoring with string kernels and word embeddings. CoRR abs/1804.07954 (2018) - [i13]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Marius Popescu:
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition. CoRR abs/1804.10892 (2018) - [i12]Andrei M. Butnaru, Radu Tudor Ionescu:
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row. CoRR abs/1805.04876 (2018) - [i11]Paul Andrei Bricman, Radu Tudor Ionescu:
CocoNet: A deep neural network for mapping pixel coordinates to color values. CoRR abs/1805.11357 (2018) - [i10]Radu Tudor Ionescu, Andrei M. Butnaru:
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set. CoRR abs/1808.08409 (2018) - [i9]Radu Tudor Ionescu, Andrei M. Butnaru:
Transductive Learning with String Kernels for Cross-Domain Text Classification. CoRR abs/1811.01734 (2018) - [i8]Petru Soviany, Radu Tudor Ionescu:
Continuous Trade-off Optimization between Fast and Accurate Deep Face Detectors. CoRR abs/1811.11582 (2018) - [i7]Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao:
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video. CoRR abs/1812.04960 (2018) - 2017
- [c31]Radu Tudor Ionescu, Marius Popescu:
Can string kernels pass the test of time in Native Language Identification? BEA@EMNLP 2017: 224-234 - [c30]Andrei M. Butnaru, Radu Tudor Ionescu, Florentina Hristea:
ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing. EACL (1) 2017: 916-926 - [c29]Radu Tudor Ionescu, Marius Popescu, Christopher Conly, Vassilis Athitsos:
Local frame match distance: A novel approach for exemplar gesture recognition. EUSIPCO 2017: 788-792 - [c28]Radu Tudor Ionescu, Sorina Smeureanu, Bogdan Alexe, Marius Popescu:
Unmasking the Abnormal Events in Video. ICCV 2017: 2914-2922 - [c27]Sorina Smeureanu, Radu Tudor Ionescu, Marius Popescu, Bogdan Alexe:
Deep Appearance Features for Abnormal Behavior Detection in Video. ICIAP (2) 2017: 779-789 - [c26]Marius Popescu, Cristian Grozea, Radu Tudor Ionescu:
HASKER: An efficient algorithm for string kernels. Application to polarity classification in various languages. KES 2017: 1755-1763 - [c25]Andrei M. Butnaru, Radu Tudor Ionescu:
From Image to Text Classification: A Novel Approach based on Clustering Word Embeddings. KES 2017: 1783-1792 - [c24]Radu Tudor Ionescu, Andrei M. Butnaru:
Learning to Identify Arabic and German Dialects using Multiple Kernels. VarDial 2017: 200-209 - [i6]Radu Tudor Ionescu, Sorina Smeureanu, Bogdan Alexe, Marius Popescu:
Unmasking the abnormal events in video. CoRR abs/1705.08182 (2017) - [i5]Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari:
How hard can it be? Estimating the difficulty of visual search in an image. CoRR abs/1705.08280 (2017) - [i4]Andrei M. Butnaru, Radu Tudor Ionescu, Florentina Hristea:
ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing. CoRR abs/1707.08084 (2017) - [i3]Andrei M. Butnaru, Radu Tudor Ionescu:
From Image to Text Classification: A Novel Approach based on Clustering Word Embeddings. CoRR abs/1707.08098 (2017) - [i2]Radu Tudor Ionescu, Marius Popescu:
Can string kernels pass the test of time in Native Language Identification? CoRR abs/1707.08349 (2017) - 2016
- [b1]Radu Tudor Ionescu, Marius Popescu:
Knowledge Transfer between Computer Vision and Text Mining - Similarity-based Learning Approaches. Advances in Computer Vision and Pattern Recognition, Springer 2016, ISBN 978-3-319-30365-9, pp. 1-246 - [j6]Radu Tudor Ionescu, Marius Popescu, Aoife Cahill:
String Kernels for Native Language Identification: Insights from Behind the Curtains. Comput. Linguistics 42(3): 491-525 (2016) - [c23]Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari:
How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image. CVPR 2016: 2157-2166 - [c22]Radu Tudor Ionescu:
Measuring the Local Non-alignment Between Objects: Applications to Different Domains. KES 2016: 838-847 - [c21]Radu Tudor Ionescu, Marius Popescu:
UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels. VarDial@COLING 2016: 135-144 - 2015
- [j5]Radu Tudor Ionescu, Andreea Lavinia Popescu, Marius Popescu, Dan Popescu:
BiomassID: A biomass type identification system for mobile devices. Comput. Electron. Agric. 113: 244-253 (2015) - [j4]Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio:
Challenges in representation learning: A report on three machine learning contests. Neural Networks 64: 59-63 (2015) - [j3]Radu Tudor Ionescu, Marius Popescu:
PQ kernel: A rank correlation kernel for visual word histograms. Pattern Recognit. Lett. 55: 51-57 (2015) - [c20]Radu Tudor Ionescu, Marius Popescu:
Have a SNAK. Encoding Spatial Information with the Spatial Non-alignment Kernel. ICIAP (1) 2015: 97-108 - [c19]Radu Tudor Ionescu, Andreea Lavinia Popescu, Dan Popescu:
Texture Classification with Patch Autocorrelation Features. ICONIP (1) 2015: 1-11 - [c18]Radu Tudor Ionescu:
A Fast Algorithm for Local Rank Distance: Application to Arabic Native Language Identification. ICONIP (2) 2015: 390-400 - [c17]Radu Tudor Ionescu, Adrian-Gabriel Chifu, Josiane Mothe:
DeShaTo: Describing the Shape of Cumulative Topic Distributions to Rank Retrieval Systems Without Relevance Judgments. SPIRE 2015: 75-82 - [c16]Radu Tudor Ionescu, Andreea Lavinia Popescu, Dan Popescu:
Patch Autocorrelation Features for Optical Character Recognition. VISAPP (1) 2015: 419-426 - 2014
- [j2]Liviu P. Dinu, Radu Tudor Ionescu:
Clustering based on median and closest string via rank distance with applications on DNA. Neural Comput. Appl. 24(1): 77-84 (2014) - [c15]Radu Tudor Ionescu, Marius Popescu, Aoife Cahill:
Can characters reveal your native language? A language-independent approach to native language identification. EMNLP 2014: 1363-1373 - [c14]Radu Tudor Ionescu, Marius Popescu:
Objectness to improve the bag of visual words model. ICIP 2014: 3238-3242 - [c13]Radu Tudor Ionescu, Andreea Lavinia Popescu, Dan Popescu, Marius Popescu:
Local Texton Dissimilarity with Applications on Biomass Classification. VISAPP (1) 2014: 593-600 - 2013
- [c12]Liviu P. Dinu, Radu Tudor Ionescu:
An Efficient Algorithm for Rank Distance Consensus. AI*IA 2013: 505-516 - [c11]Marius Popescu, Radu Tudor Ionescu:
The Story of the Characters, the DNA and the Native Language. BEA@NAACL-HLT 2013: 270-278 - [c10]Andreea Lavinia Popescu, Dan Popescu, Radu Tudor Ionescu, Nicoleta Angelescu, Romeo Cojocaru:
Efficient fractal method for texture classification. ICSCS 2013: 44-49 - [c9]Radu Tudor Ionescu, Marius Popescu:
Speeding Up Local Patch Dissimilarity. ICIAP (1) 2013: 1-10 - [c8]Radu Tudor Ionescu, Marius Popescu:
Kernels for Visual Words Histograms. ICIAP (1) 2013: 81-90 - [c7]Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio:
Challenges in Representation Learning: A Report on Three Machine Learning Contests. ICONIP (3) 2013: 117-124 - [c6]Radu Tudor Ionescu:
Local Rank Distance. SYNASC 2013: 219-226 - [i1]