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ORCIDRadu Tudor Ionescu
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- affiliation: University of Bucharest, Department of Computer Science, Romania
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2020 – today
- 2024
[j27]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Cascaded cross-modal transformer for audio-textual classification. Artif. Intell. Rev. 57(9): 225 (2024)- [j26]Florinel-Alin Croitoru, Nicolae-Catalin Ristea, Dana Dascalescu, Radu Tudor Ionescu
, Fahad Shahbaz Khan, Mubarak Shah:
Lightning fast video anomaly detection via multi-scale adversarial distillation. Comput. Vis. Image Underst. 247: 104074 (2024) - [j25]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Reverse Stable Diffusion: What prompt was used to generate this image? Comput. Vis. Image Underst. 249: 104210 (2024) - [j24]Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 525-542 (2024) - [c101]Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu:
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. ACL (1) 2024: 236-253 - [c100]Ana-Cristina Rogoz, Radu Tudor Ionescu:
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions. BEA 2024: 493-502 - [c99]Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, Marius Popescu, Fahad Shahbaz Khan, Mubarak Shah:
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. CVPR 2024: 15984-15995 - [c98]Andrei Jarca, Florinel-Alin Croitoru, Radu Tudor Ionescu:
CBM: Curriculum by Masking. ECAI 2024: 314-321 - [c97]Alexandru Ghita, Radu Tudor Ionescu:
Class Anchor Margin Loss for Content-Based Image Retrieval. ICAART (3) 2024: 848-853 - [c96]Rotaru Codrut, Nicolae-Catalin Ristea, Radu Tudor Ionescu:
RoDia: A New Dataset for Romanian Dialect Identification from Speech. NAACL-HLT (Findings) 2024: 279-286 - [c95]Alexandru Ghita, Radu Tudor Ionescu:
A New Loss for Image Retrieval: Class Anchor Margin. PAKDD (2) 2024: 43-54 - [c94]Neelu Madan, Nicolae-Catalin Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu Tudor Ionescu:
CL-MAE: Curriculum-Learned Masked Autoencoders. WACV 2024: 2480-2490 - [i94]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Cascaded Cross-Modal Transformer for Audio-Textual Classification. CoRR abs/2401.07575 (2024) - [i93]Diana-Nicoleta Grigore, Mariana-Iuliana Georgescu, Jon Álvarez Justo, Tor Arne Johansen, Andreea Iuliana Ionescu, Radu Tudor Ionescu:
Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers. CoRR abs/2404.09326 (2024) - [i92]Ana-Cristina Rogoz, Radu Tudor Ionescu:
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions. CoRR abs/2404.13343 (2024) - [i91]Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu:
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. CoRR abs/2405.11877 (2024) - [i90]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Nicu Sebe, Mubarak Shah:
Curriculum Direct Preference Optimization for Diffusion and Consistency Models. CoRR abs/2405.13637 (2024) - [i89]Eduard Poesina, Adriana Valentina Costache, Adrian-Gabriel Chifu, Josiane Mothe, Radu Tudor Ionescu:
PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction. CoRR abs/2406.04746 (2024) - [i88]Ana-Cristina Rogoz, Maria Ilinca Nechita, Radu Tudor Ionescu:
PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts. CoRR abs/2407.04541 (2024) - [i87]Andrei Jarca, Florinel-Alin Croitoru, Radu Tudor Ionescu:
CBM: Curriculum by Masking. CoRR abs/2407.05193 (2024) - [i86]Vlad Hondru, Florinel-Alin Croitoru, Shervin Minaee, Radu Tudor Ionescu, Nicu Sebe:
Masked Image Modeling: A Survey. CoRR abs/2408.06687 (2024) - 2023
- [j23]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae-Catalin Ristea, Nicu Sebe:
Nonlinear neurons with human-like apical dendrite activations. Appl. Intell. 53(21): 25984-26007 (2023) - [j22]Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. Comput. Vis. Image Underst. 229: 103656 (2023) - [j21]Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, Radu Tudor Ionescu:
CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation. Neurocomputing 538: 126211 (2023) - [j20]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Diffusion Models in Vision: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10850-10869 (2023) - [c93]Andrei Dumitriu, Florin Tatui, Florin Miron, Radu Tudor Ionescu, Radu Timofte:
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results. CVPR Workshops 2023: 1261-1271 - [c92]Daria-Mihaela Broscoteanu, Radu Tudor Ionescu:
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles. EMNLP (Findings) 2023: 9547-9555 - [c91]Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. ICCV 2023: 16098-16108 - [c90]Lucian Bicsi, Bogdan Alexe, Radu Tudor Ionescu, Marius Leordeanu:
JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition. ICCV (Workshops) 2023: 953-962 - [c89]Mihaela Gaman, Adrian-Gabriel Chifu, William Domingues, Radu Tudor Ionescu:
FreCDo: A Large Corpus for French Cross-Domain Dialect Identification. KES 2023: 366-373 - [c88]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Cascaded Cross-Modal Transformer for Request and Complaint Detection. ACM Multimedia 2023: 9467-9471 - [c87]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron:
Diversity-Promoting Ensemble for Medical Image Segmentation. SAC 2023: 599-606 - [c86]Eduard Poesina, Radu Tudor Ionescu, Josiane Mothe:
iQPP: A Benchmark for Image Query Performance Prediction. SIGIR 2023: 2953-2963 - [c85]Eduard Poesina, Radu Tudor Ionescu, Josiane Mothe:
iQPP: Une Référence pour la Prédiction de Performances des Requêtes d'Images. CORIA-TALN 2023: 214-220 - [c84]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Shahbaz Khan:
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. WACV 2023: 2194-2204 - [c83]Jon Álvarez Justo, Joseph L. Garrett, Dennis D. Langer, Marie Bøe Henriksen, Radu Tudor Ionescu, Tor Arne Johansen:
An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the Hypso-1 Satellite. WHISPERS 2023: 1-5 - [i85]Eduard Poesina, Radu Tudor Ionescu, Josiane Mothe:
iQPP: A Benchmark for Image Query Performance Prediction. CoRR abs/2302.10126 (2023) - [i84]Alexandru Ghita, Radu Tudor Ionescu:
Class Anchor Margin Loss for Content-Based Image Retrieval. CoRR abs/2306.00630 (2023) - [i83]Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, Marius Popescu, Fahad Shahbaz Khan, Mubarak Shah:
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. CoRR abs/2306.12041 (2023) - [i82]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Cascaded Cross-Modal Transformer for Request and Complaint Detection. CoRR abs/2307.15097 (2023) - [i81]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Reverse Stable Diffusion: What prompt was used to generate this image? CoRR abs/2308.01472 (2023) - [i80]Lucian Bicsi, Bogdan Alexe, Radu Tudor Ionescu, Marius Leordeanu:
JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition. CoRR abs/2308.04934 (2023) - [i79]Jon Álvarez Justo, Joseph L. Garrett, Dennis D. Langer, Marie Bøe Henriksen, Radu Tudor Ionescu, Tor Arne Johansen:
An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 Satellite. CoRR abs/2308.13679 (2023) - [i78]Neelu Madan, Nicolae-Catalin Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu Tudor Ionescu:
CL-MAE: Curriculum-Learned Masked Autoencoders. CoRR abs/2308.16572 (2023) - [i77]Codrut Rotaru, Nicolae-Catalin Ristea, Radu Tudor Ionescu:
RoDia: A New Dataset for Romanian Dialect Identification from Speech. CoRR abs/2309.03378 (2023) - [i76]Rafael-Edy Menadil, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models. CoRR abs/2309.15238 (2023) - [i75]Vlad Hondru, Radu Tudor Ionescu:
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation. CoRR abs/2310.00096 (2023) - [i74]Daria-Mihaela Broscoteanu, Radu Tudor Ionescu:
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles. CoRR abs/2310.06540 (2023) - [i73]Jon Álvarez Justo, Joseph Landon Garrett, Mariana-Iuliana Georgescu, Jesus Gonzalez-Llorente, Radu Tudor Ionescu, Tor Arne Johansen:
Sea-Land-Cloud Segmentation in Satellite Hyperspectral Imagery by Deep Learning. CoRR abs/2310.16210 (2023) - 2022
- [j19]Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe:
Curriculum Learning: A Survey. Int. J. Comput. Vis. 130(6): 1526-1565 (2022) - [j18]Mihaela Gaman, Radu Tudor Ionescu:
The unreasonable effectiveness of machine learning in Moldavian versus Romanian dialect identification. Int. J. Intell. Syst. 37(8): 4928-4966 (2022) - [j17]Ismat Ara Reshma, Camille Franchet, Margot Gaspard, Radu Tudor Ionescu, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Pierre Brousset:
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training - The Case of Cancer Detection. J. Digit. Imaging 35(5): 1326-1349 (2022) - [j16]Mariana-Iuliana Georgescu, Georgian-Emilian Duta, Radu Tudor Ionescu:
Teacher-student training and triplet loss to reduce the effect of drastic face occlusion. Mach. Vis. Appl. 33(1): 12 (2022) - [j15]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
A Background-Agnostic Framework With Adversarial Training for Abnormal Event Detection in Video. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4505-4523 (2022) - [c82]Ismat Ara Reshma, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Camille Franchet, Margot Gaspard, Pierre Brousset, Radu Tudor Ionescu:
A Study on the Impact of Class Distribution on Deep Learning - The Case of Histological Images and Cancer Detection - Extended Abstract. CIRCLE 2022 - [c81]Florinel-Alin Croitoru, Diana-Nicoleta Grigore, Radu Tudor Ionescu:
Discriminability-enforcing loss to improve representation learning. CVPR Workshops 2022: 2597-2601 - [c80]Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CVPR 2022: 13566-13576 - [c79]Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. CVPR 2022: 20111-20121 - [c78]Mihaela Gaman, Lida Ghadamiyan, Radu Tudor Ionescu, Marius Popescu:
Self-paced Learning to Improve Text Row Detection in Historical Documents with Missing Labels. ECCV Workshops (4) 2022: 253-262 - [c77]Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Feature-Level Augmentation to Improve Robustness of Deep Neural Networks to Affine Transformations. ECCV Workshops (1) 2022: 332-341 - [c76]Florin Brad, Andrei Manolache, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
Rethinking the Authorship Verification Experimental Setups. EMNLP 2022: 5634-5643 - [c75]Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan:
SepTr: Separable Transformer for Audio Spectrogram Processing. INTERSPEECH 2022: 4103-4107 - [c74]Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. NeurIPS 2022 - [i72]Mihaela Gaman, Lida Ghadamiyan, Radu Tudor Ionescu, Marius Popescu:
Self-paced learning to improve text row detection in historical documents with missing lables. CoRR abs/2201.12216 (2022) - [i71]Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Feature-level augmentation to improve robustness of deep neural networks to affine transformations. CoRR abs/2202.05152 (2022) - [i70]Florinel-Alin Croitoru, Diana-Nicoleta Grigore, Radu Tudor Ionescu:
Discriminability-enforcing loss to improve representation learning. CoRR abs/2202.07073 (2022) - [i69]Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan:
SepTr: Separable Transformer for Audio Spectrogram Processing. CoRR abs/2203.09581 (2022) - [i68]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Shahbaz Khan:
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. CoRR abs/2204.04218 (2022) - [i67]Florinel-Alin Croitoru, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Nicu Sebe:
LeRaC: Learning Rate Curriculum. CoRR abs/2205.09180 (2022) - [i66]Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. CoRR abs/2207.03477 (2022) - [i65]Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection. CoRR abs/2207.08003 (2022) - [i64]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Diffusion Models in Vision: A Survey. CoRR abs/2209.04747 (2022) - [i63]Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. CoRR abs/2209.12148 (2022) - [i62]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron:
Diversity-Promoting Ensemble for Medical Image Segmentation. CoRR abs/2210.12388 (2022) - [i61]Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Dana Dascalescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation. CoRR abs/2211.15597 (2022) - [i60]Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. CoRR abs/2212.05922 (2022) - [i59]Mihaela Gaman, Adrian-Gabriel Chifu, William Domingues, Radu Tudor Ionescu:
FreCDo: A Large Corpus for French Cross-Domain Dialect Identification. CoRR abs/2212.07707 (2022) - 2021
- [j14]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Estimating the Magnitude and Phase of Automotive Radar Signals Under Multiple Interference Sources With Fully Convolutional Networks. IEEE Access 9: 153491-153507 (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) - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]Ionut Cosmin Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Contextual Convolutional Neural Networks. ICCVW 2021: 403-412 - [c68]Mihail Burduja, Radu Tudor Ionescu:
Unsupervised Medical Image Alignment With Curriculum Learning. ICIP 2021: 3787-3791 - [c67]Radu Tudor Ionescu, Adrian-Gabriel Chifu:
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. IJCNN 2021: 1-8 - [c66]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Self-Paced Ensemble Learning for Speech and Audio Classification. Interspeech 2021: 2836-2840 - [c65]Stefan Daniel Dumitrescu, Petru Rebeja, Beáta Lorincz, Mihaela Gaman, Andrei-Marius Avram, Mihai Ilie, Andrei Pruteanu, Adriana Stan, Lorena Rosia, Cristina Iacobescu, Luciana Morogan, George Dima, Gabriel Marchidan, Traian Rebedea, Madalina Chitez, Dani Yogatama, Sebastian Ruder, Radu Tudor Ionescu, Razvan Pascanu, Viorica Patraucean:
LiRo: Benchmark and leaderboard for Romanian language tasks. NeurIPS Datasets and Benchmarks 2021 - [c64]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. NeurIPS Datasets and Benchmarks 2021 - [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, Eswari Rajagopal, 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 - [i58]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) - [i57]Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe:
Curriculum Learning: A Survey. CoRR abs/2101.10382 (2021) - [i56]Mihaela Gaman, Sebastian Cojocariu, Radu Tudor Ionescu:
UnibucKernel: Geolocating Swiss-German Jodels Using Ensemble Learning. CoRR abs/2102.09379 (2021) - [i55]Mihail Burduja, Radu Tudor Ionescu:
Unsupervised Medical Image Alignment with Curriculum Learning. CoRR abs/2102.10438 (2021) - [i54]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Self-paced ensemble learning for speech and audio classification. CoRR abs/2103.11988 (2021) - [i53]Radu Tudor Ionescu, Adrian-Gabriel Chifu:
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. CoRR abs/2104.04828 (2021) - [i52]Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu:
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles. CoRR abs/2105.06456 (2021) - [i51]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) - [i50]Ionut Cosmin Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Contextual Convolutional Neural Networks. CoRR abs/2108.07387 (2021) - [i49]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) - [i48]Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, Radu Tudor Ionescu:
CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation. CoRR abs/2110.06400 (2021) - [i47]Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. CoRR abs/2111.08644 (2021) - [i46]Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CoRR abs/2111.09099 (2021) - [i45]Mariana-Iuliana Georgescu, Georgian-Emilian Duta, Radu Tudor Ionescu:
Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion. CoRR abs/2111.10561 (2021) - [i44]Andrei Manolache, Florin Brad, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
Transferring BERT-like Transformers' Knowledge for Authorship Verification. CoRR abs/2112.05125 (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]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. CoRR abs/1307.0414 (2013) - 2012
- [j1]Adrian-Gabriel Chifu, Radu Tudor Ionescu:
Word sense disambiguation to improve precision for ambiguous queries. Central Eur. J. Comput. Sci. 2(4): 398-411 (2012) - [c5]Liviu Petrisor Dinu, Radu Tudor Ionescu, Marius Popescu:
Local Patch Dissimilarity for Images. ICONIP (1) 2012: 117-126 - [c4]Liviu Petrisor Dinu, Radu Tudor Ionescu:
Clustering Based on Rank Distance with Applications on DNA. ICONIP (5) 2012: 722-729 - [c3]Liviu P. Dinu, Radu Tudor Ionescu:
Clustering Methods Based on Closest String via Rank Distance. SYNASC 2012: 207-213 - [c2]Liviu P. Dinu, Radu Tudor Ionescu:
A Rank-Based Approach of Cosine Similarity with Applications in Automatic Classification. SYNASC 2012: 260-264 - 2011
- [c1]Liviu Petrisor Dinu, Radu Tudor Ionescu:
A Genetic Approximation of Closest String via Rank Distance. SYNASC 2011: 207-214
Coauthor Index
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