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ORCIDTatiana Tommasi
Person information
- affiliation: Politecnico di Torino, Turin, Italy
- affiliation (former): Catholic University of Leuven, Belgium
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2020 – today
- 2024
[j17]Leonardo Iurada
, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi:
Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics. IEEE Access 12: 47854-47867 (2024)- [j16]Francesco Cappio Borlino, Lorenzo Li Lu, Tatiana Tommasi:
Foundation Models and Fine-Tuning: A Benchmark for Out of Distribution Detection. IEEE Access 12: 79401-79414 (2024) - [j15]Paolo Rabino, Antonio Alliegro, Tatiana Tommasi:
3D Semantic Novelty Detection via Large-Scale Pre-Trained Models. IEEE Access 12: 135352-135361 (2024) - [j14]Chiara Plizzari, Gabriele Goletto, Antonino Furnari, Siddhant Bansal, Francesco Ragusa, Giovanni Maria Farinella, Dima Damen, Tatiana Tommasi:
An Outlook into the Future of Egocentric Vision. Int. J. Comput. Vis. 132(11): 4880-4936 (2024) - [c51]Leonardo Iurada, Marco Ciccone, Tatiana Tommasi:
Finding Lottery Tickets in Vision Models via Data-Driven Spectral Foresight Pruning. CVPR 2024: 16142-16151 - [c50]Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Nießner:
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. CVPR 2024: 19615-19625 - [c49]Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki:
Domain Randomization via Entropy Maximization. ICLR 2024 - [i45]Leonardo Iurada, Marco Ciccone, Tatiana Tommasi:
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning. CoRR abs/2406.01820 (2024) - [i44]Leonardo Iurada, Niccolò Cavagnero, Fernando Fernandes dos Santos, Giuseppe Averta, Paolo Rech, Tatiana Tommasi:
Transient Fault Tolerant Semantic Segmentation for Autonomous Driving. CoRR abs/2408.16952 (2024) - [i43]Paolo Rabino, Tatiana Tommasi:
A Modern Take on Visual Relationship Reasoning for Grasp Planning. CoRR abs/2409.02035 (2024) - 2023
- [j13]Fernando J. Rendón-Segador, Juan Antonio Álvarez-García, Jose L. Salazar-González, Tatiana Tommasi:
CrimeNet: Neural Structured Learning using Vision Transformer for violence detection. Neural Networks 161: 318-329 (2023) - [c48]Lorenzo Li Lu, Giulia D'Ascenzi, Francesco Cappio Borlino, Tatiana Tommasi:
Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection. ICIAP (2) 2023: 295-306 - [c47]Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi, Giuseppe Averta:
Domain Randomization for Robust, Affordable and Effective Closed-Loop Control of Soft Robots. IROS 2023: 612-619 - [c46]Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi:
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. IROS 2023: 3857-3864 - [i42]Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi, Giuseppe Averta:
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots. CoRR abs/2303.04136 (2023) - [i41]Leonardo Iurada, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi:
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics. CoRR abs/2303.14411 (2023) - [i40]Lorenzo Li Lu, Giulia D'Ascenzi, Francesco Cappio Borlino, Tatiana Tommasi:
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection. CoRR abs/2307.06179 (2023) - [i39]Chiara Plizzari, Gabriele Goletto, Antonino Furnari, Siddhant Bansal, Francesco Ragusa, Giovanni Maria Farinella, Dima Damen, Tatiana Tommasi:
An Outlook into the Future of Egocentric Vision. CoRR abs/2308.07123 (2023) - [i38]Paolo Rabino, Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi:
OpenPatch: a 3D patchwork for Out-Of-Distribution detection. CoRR abs/2310.03388 (2023) - [i37]Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki:
Domain Randomization via Entropy Maximization. CoRR abs/2311.01885 (2023) - [i36]Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Nießner:
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. CoRR abs/2311.15475 (2023) - [i35]Antonio Alliegro, Yawar Siddiqui, Tatiana Tommasi, Matthias Nießner:
PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models. CoRR abs/2312.11417 (2023) - 2022
- [j12]Francesco Cappio Borlino, Salvatore Polizzotto, Barbara Caputo, Tatiana Tommasi:
Self-supervision & meta-learning for one-shot unsupervised cross-domain detection. Comput. Vis. Image Underst. 223: 103549 (2022) - [j11]Silvia Bucci, Antonio D'Innocente, Yujun Liao, Fabio Maria Carlucci, Barbara Caputo, Tatiana Tommasi:
Self-Supervised Learning Across Domains. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5516-5528 (2022) - [j10]Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Ales Leonardis, Tatiana Tommasi:
End-to-End Learning to Grasp via Sampling From Object Point Clouds. IEEE Robotics Autom. Lett. 7(4): 9865-9872 (2022) - [c45]Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi:
Semantic Novelty Detection via Relational Reasoning. ECCV (25) 2022: 183-200 - [c44]Gabriele Tiboni, Karol Arndt, Giuseppe Averta, Ville Kyrki, Tatiana Tommasi:
Online vs. Offline Adaptive Domain Randomization Benchmark. HFR 2022: 158-173 - [c43]Niccolò Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech:
Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. IOLTS 2022: 1-7 - [c42]Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi:
Contrastive Learning for Cross-Domain Open World Recognition. IROS 2022: 10133-10140 - [c41]Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi:
3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point Clouds. NeurIPS 2022 - [c40]Silvia Bucci, Francesco Cappio Borlino, Barbara Caputo, Tatiana Tommasi:
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation. WACV 2022: 1030-1039 - [i34]Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Ales Leonardis, Tatiana Tommasi:
End-to-End Learning to Grasp from Object Point Clouds. CoRR abs/2203.05585 (2022) - [i33]Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi:
Contrastive Learning for Cross-Domain Open World Recognition. CoRR abs/2203.09257 (2022) - [i32]Niccolò Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech:
Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. CoRR abs/2205.14420 (2022) - [i31]Gabriele Tiboni, Karol Arndt, Giuseppe Averta, Ville Kyrki, Tatiana Tommasi:
Online vs. Offline Adaptive Domain Randomization Benchmark. CoRR abs/2206.14661 (2022) - [i30]Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi:
Semantic Novelty Detection via Relational Reasoning. CoRR abs/2207.08699 (2022) - [i29]Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi:
Towards Open Set 3D Learning: A Benchmark on Object Point Clouds. CoRR abs/2207.11554 (2022) - [i28]Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi:
PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting. CoRR abs/2211.06930 (2022) - 2021
- [c39]Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi:
Denoise and Contrast for Category Agnostic Shape Completion. CVPR 2021: 4629-4638 - [c38]Andrea Ferreri, Silvia Bucci, Tatiana Tommasi:
Multi-Modal RGB-D Scene Recognition Across Domains. ICCVW 2021: 2199-2208 - [i27]Francesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi:
Rethinking Domain Generalization Baselines. CoRR abs/2101.09060 (2021) - [i26]Andrea Ferreri, Silvia Bucci, Tatiana Tommasi:
Translate to Adapt: RGB-D Scene Recognition across Domains. CoRR abs/2103.14672 (2021) - [i25]Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi:
Denoise and Contrast for Category Agnostic Shape Completion. CoRR abs/2103.16671 (2021) - [i24]Tatiana Tommasi, Silvia Bucci, Barbara Caputo, Pietro Asinari:
Towards Fairness Certification in Artificial Intelligence. CoRR abs/2106.02498 (2021) - [i23]Francesco Cappio Borlino, Salvatore Polizzotto, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection. CoRR abs/2106.03496 (2021) - [i22]Silvia Bucci, Francesco Cappio Borlino, Barbara Caputo, Tatiana Tommasi:
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation. CoRR abs/2107.02067 (2021) - 2020
- [j9]Mohammad Reza Loghmani, Markus Vincze, Tatiana Tommasi:
Positive-unlabeled learning for open set domain adaptation. Pattern Recognit. Lett. 136: 198-204 (2020) - [c37]Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi:
On the Effectiveness of Image Rotation for Open Set Domain Adaptation. ECCV (16) 2020: 422-438 - [c36]Antonio Alliegro, Davide Boscaini, Tatiana Tommasi:
Self-Supervision for 3D Real-World Challenges. ECCV Workshops (1) 2020: 704-708 - [c35]Francesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi:
Domain Generalization vs Data Augmentation: An Unbiased Perspective. ECCV Workshops (1) 2020: 726-730 - [c34]Antonio D'Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
One-Shot Unsupervised Cross-Domain Detection. ECCV (16) 2020: 732-748 - [c33]Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi:
Bridging the gap between Natural and Medical Images through Deep Colorization. ICPR 2020: 835-842 - [c32]Antonio Alliegro, Davide Boscaini, Tatiana Tommasi:
Joint Supervised and Self-Supervised Learning for 3D Real World Challenges. ICPR 2020: 6718-6725 - [c31]Francesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi:
Rethinking Domain Generalization Baselines. ICPR 2020: 9227-9233 - [i21]Antonio Alliegro, Davide Boscaini, Tatiana Tommasi:
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges. CoRR abs/2004.07392 (2020) - [i20]Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi:
Bridging the gap between Natural and Medical Images through Deep Colorization. CoRR abs/2005.10589 (2020) - [i19]Antonio D'Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
One-Shot Unsupervised Cross-Domain Detection. CoRR abs/2005.11610 (2020) - [i18]Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi:
On the Effectiveness of Image Rotation for Open Set Domain Adaptation. CoRR abs/2007.12360 (2020) - [i17]Silvia Bucci, Antonio D'Innocente, Yujun Liao, Fabio Maria Carlucci, Barbara Caputo, Tatiana Tommasi:
Self-Supervised Learning Across Domains. CoRR abs/2007.12368 (2020)
2010 – 2019
- 2019
- [j8]Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Combining Multiple Cues for Visual Madlibs Question Answering. Int. J. Comput. Vis. 127(1): 38-60 (2019) - [c30]Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
Domain Generalization by Solving Jigsaw Puzzles. CVPR 2019: 2229-2238 - [c29]Fabio Maria Carlucci, Paolo Russo, Tatiana Tommasi, Barbara Caputo:
Hallucinating Agnostic Images to Generalize Across Domains. ICCV Workshops 2019: 3227-3234 - [c28]Silvia Bucci, Antonio D'Innocente, Tatiana Tommasi:
Tackling Partial Domain Adaptation with Self-supervision. ICIAP (2) 2019: 70-81 - [c27]Paolo Russo, Tatiana Tommasi, Barbara Caputo:
Towards Multi-source Adaptive Semantic Segmentation. ICIAP (1) 2019: 292-301 - [i16]Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
Domain Generalization by Solving Jigsaw Puzzles. CoRR abs/1903.06864 (2019) - [i15]Silvia Bucci, Antonio D'Innocente, Tatiana Tommasi:
Tackling Partial Domain Adaptation with Self-Supervision. CoRR abs/1906.05199 (2019) - [i14]Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
Learning to Generalize One Sample at a Time with Self-Supervision. CoRR abs/1910.03915 (2019) - 2018
- [c26]Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi, Barbara Caputo:
From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN. CVPR 2018: 8099-8108 - [c25]Gabriele Angeletti, Barbara Caputo, Tatiana Tommasi:
Adaptive Deep Learning Through Visual Domain Localization. ICRA 2018: 7135-7142 - [i13]Gabriele Angeletti, Barbara Caputo, Tatiana Tommasi:
Adaptive Deep Learning through Visual Domain Localization. CoRR abs/1802.08833 (2018) - [i12]Fabio Maria Carlucci, Paolo Russo, Tatiana Tommasi, Barbara Caputo:
Agnostic Domain Generalization. CoRR abs/1808.01102 (2018) - 2017
- [c24]Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo:
Learning deep visual object models from noisy web data: How to make it work. IROS 2017: 5564-5571 - [c23]Francesco Orabona, Tatiana Tommasi:
Training Deep Networks without Learning Rates Through Coin Betting. NIPS 2017: 2160-2170 - [p4]Tatiana Tommasi, Novi Patricia, Barbara Caputo, Tinne Tuytelaars:
A Deeper Look at Dataset Bias. Domain Adaptation in Computer Vision Applications 2017: 37-55 - [i11]Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo:
Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work. CoRR abs/1702.08513 (2017) - [i10]Francesco Orabona, Tatiana Tommasi:
Backprop without Learning Rates Through Coin Betting. CoRR abs/1705.07795 (2017) - [i9]Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi, Barbara Caputo:
From source to target and back: symmetric bi-directional adaptive GAN. CoRR abs/1705.08824 (2017) - 2016
- [c22]Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Solving VIsual Madlibs with Multiple Cues. BMVC 2016 - [c21]Tatiana Tommasi, Martina Lanzi, Paolo Russo, Barbara Caputo:
Learning the Roots of Visual Domain Shift. ECCV Workshops (3) 2016: 475-482 - [i8]Tatiana Tommasi, Martina Lanzi, Paolo Russo, Barbara Caputo:
Learning the Roots of Visual Domain Shift. CoRR abs/1607.06144 (2016) - [i7]Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Solving Visual Madlibs with Multiple Cues. CoRR abs/1608.03410 (2016) - [i6]Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Solving Visual Madlibs with Multiple Cues. CoRR abs/1611.00393 (2016) - 2015
- [j7]Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars:
Location recognition over large time lags. Comput. Vis. Image Underst. 139: 21-28 (2015) - [j6]Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars:
Joint cross-domain classification and subspace learning for unsupervised adaptation. Pattern Recognit. Lett. 65: 60-66 (2015) - [c20]Tatiana Tommasi, Novi Patricia, Barbara Caputo, Tinne Tuytelaars:
A Deeper Look at Dataset Bias. GCPR 2015: 504-516 - [c19]Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars:
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. ICCV 2015: 2731-2739 - [i5]Tatiana Tommasi, Novi Patricia, Barbara Caputo, Tinne Tuytelaars:
A Deeper Look at Dataset Bias. CoRR abs/1505.01257 (2015) - [i4]Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars:
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. CoRR abs/1510.01544 (2015) - 2014
- [j5]Tatiana Tommasi, Francesco Orabona, Barbara Caputo:
Learning Categories From Few Examples With Multi Model Knowledge Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 928-941 (2014) - [c18]Tatiana Tommasi, Tinne Tuytelaars:
A Testbed for Cross-Dataset Analysis. ECCV Workshops (3) 2014: 18-31 - [c17]Novi Patricia, Tatiana Tommasi, Barbara Caputo:
Multi-source Adaptive Learning for Fast Control of Prosthetics Hand. ICPR 2014: 2769-2774 - [i3]Tatiana Tommasi, Tinne Tuytelaars, Barbara Caputo:
A Testbed for Cross-Dataset Analysis. CoRR abs/1402.5923 (2014) - [i2]Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars:
Lost in the Past: Recognizing Locations Over Large Time Lags. CoRR abs/1409.7556 (2014) - [i1]Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars:
Joint cross-domain classification and subspace learning. CoRR abs/1411.4491 (2014) - 2013
- [j4]Tatiana Tommasi, Francesco Orabona, Claudio Castellini, Barbara Caputo:
Improving Control of Dexterous Hand Prostheses Using Adaptive Learning. IEEE Trans. Robotics 29(1): 207-219 (2013) - [c16]Tatiana Tommasi, Barbara Caputo:
Frustratingly Easy NBNN Domain Adaptation. ICCV 2013: 897-904 - 2012
- [c15]Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert:
Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. ACCV (1) 2012: 1-15 - [c14]Tatiana Tommasi, Francesco Orabona, Mohsen Kaboli, Barbara Caputo:
Leveraging over prior knowledge for online learning of visual categories. BMVC 2012: 1-11 - [p3]Tatiana Tommasi, Barbara Caputo:
Towards a Quantitative Measure of Rareness. Detection and Identification of Rare Audiovisual Cues 2012: 129-136 - 2011
- [j3]Claudio Castellini, Tatiana Tommasi, Nicoletta Noceti, Francesca Odone, Barbara Caputo:
Using Object Affordances to Improve Object Recognition. IEEE Trans. Auton. Ment. Dev. 3(3): 207-215 (2011) - [c13]Jie Luo, Tatiana Tommasi, Barbara Caputo:
Multiclass transfer learning from unconstrained priors. ICCV 2011: 1863-1870 - [c12]Fabian Nater, Tatiana Tommasi, Helmut Grabner, Luc Van Gool, Barbara Caputo:
Transferring activities: Updating human behavior analysis. ICCV Workshops 2011: 1737-1744 - 2010
- [j2]Elisabetta La Torre, Barbara Caputo, Tatiana Tommasi:
Learning methods for melanoma recognition. Int. J. Imaging Syst. Technol. 20(4): 316-322 (2010) - [c11]Tatiana Tommasi, Francesco Orabona, Barbara Caputo:
Safety in numbers: Learning categories from few examples with multi model knowledge transfer. CVPR 2010: 3081-3088 - [c10]Arjan Gijsberts, Tatiana Tommasi, Giorgio Metta, Barbara Caputo:
Object recognition using visuo-affordance maps. IROS 2010: 1572-1578 - [p2]Tatiana Tommasi, Thomas Deselaers:
The Medical Image Classification Task. ImageCLEF 2010: 221-238 - [p1]Tatiana Tommasi, Francesco Orabona:
Idiap on Medical Image Classification. ImageCLEF 2010: 453-465
2000 – 2009
- 2009
- [c9]Tatiana Tommasi, Barbara Caputo:
The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories. BMVC 2009: 1-11 - [c8]Tatiana Tommasi, Barbara Caputo, Petra Welter, Mark Oliver Güld, Thomas Martin Deserno:
Overview of the CLEF 2009 Medical Image Annotation Track. CLEF (2) 2009: 85-93 - [c7]Tatiana Tommasi, Barbara Caputo, Petra Welter, Mark Oliver Güld, Thomas Martin Deserno:
Overview of the CLEF 2009 Medical Image Annotation Track. CLEF (Working Notes) 2009 - 2008
- [j1]Tatiana Tommasi, Francesco Orabona, Barbara Caputo:
Discriminative cue integration for medical image annotation. Pattern Recognit. Lett. 29(15): 1996-2002 (2008) - [c6]Tatiana Tommasi, Francesco Orabona, Barbara Caputo:
An SVM Confidence-Based Approach to Medical Image Annotation. CLEF 2008: 696-703 - [c5]Tatiana Tommasi, Francesco Orabona, Barbara Caputo:
CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach. CLEF (Working Notes) 2008 - 2007
- [c4]Tatiana Tommasi, Francesco Orabona, Barbara Caputo:
Cue Integration for Medical Image Annotation. CLEF 2007: 577-584 - [c3]Tatiana Tommasi, Francesco Orabona, Barbara Caputo:
CLEF2007: Image Annotation Task: an SVM-based Cue Integration Approach. CLEF (Working Notes) 2007 - 2006
- [c2]Tatiana Tommasi, Elisabetta La Torre, Barbara Caputo:
Melanoma Recognition Using Representative and Discriminative Kernel Classifiers. CVAMIA 2006: 1-12 - [c1]Elisabetta La Torre,