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ORCIDIlias Theodorakopoulos
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Books and Theses
- 2014
[b1]Ilias Theodorakopoulos:
Αναγνώριση προτύπων σε εικόνες και ακολουθίες πολυμέσων με δομές πολλαπλότητας. University of Patras, Greece, 2014
Journal Articles
- 2022
- [j12]Dimitrios Tsourounis, Ilias Theodorakopoulos, Elias N. Zois
, George Economou:
From text to signatures: Knowledge transfer for efficient deep feature learning in offline signature verification. Expert Syst. Appl. 189: 116136 (2022) - 2021
- [j11]Vasileios K. Pothos, Evangelos Vassalos, Ilias Theodorakopoulos, Nikolaos Fragoulis:
Deep Learning Inference with Dynamic Graphs on Heterogeneous Platforms. Int. J. Parallel Program. 49(2): 158-176 (2021) - [j10]Ilias Theodorakopoulos, Foteini Fotopoulou, George Economou:
Geometric Regularization of Local Activations for Knowledge Transfer in Convolutional Neural Networks. Inf. 12(8): 333 (2021) - 2019
- [j9]Elias N. Zois, Dimitrios Tsourounis, Ilias Theodorakopoulos, Anastasios L. Kesidis, George Economou:
A Comprehensive Study of Sparse Representation Techniques for Offline Signature Verification. IEEE Trans. Biom. Behav. Identity Sci. 1(1): 68-81 (2019) - 2017
- [j8]Dimitris Kastaniotis, Fotini Fotopoulou, Ilias Theodorakopoulos, George Economou, Spiros Fotopoulos:
HEp-2 cell classification with Vector of Hierarchically Aggregated Residuals. Pattern Recognit. 65: 47-57 (2017) - 2016
- [j7]Dimitris Kastaniotis, Ilias Theodorakopoulos, Spiros Fotopoulos:
Pose-based gait recognition with local gradient descriptors and hierarchically aggregated residuals. J. Electronic Imaging 25(6): 63019 (2016) - [j6]Ilias Theodorakopoulos, George Economou, Spiros Fotopoulos, Christos Theoharatos:
Local manifold distance based on neighborhood graph reordering. Pattern Recognit. 53: 195-211 (2016) - [j5]Dimitris Kastaniotis, Ilias Theodorakopoulos, George Economou, Spiros Fotopoulos:
Gait based recognition via fusing information from Euclidean and Riemannian manifolds. Pattern Recognit. Lett. 84: 245-251 (2016) - 2015
- [j4]Dimitris Kastaniotis, Ilias Theodorakopoulos, Christos Theoharatos, George Economou, Spiros Fotopoulos:
A framework for gait-based recognition using Kinect. Pattern Recognit. Lett. 68: 327-335 (2015) - 2014
- [j3]Ilias Theodorakopoulos, Dimitris Kastaniotis, George Economou, Spiros Fotopoulos:
HEp-2 Cell Classification Using Descriptors Fused into the Dissimilarity Space into the Dissimilarity Space. Int. J. Artif. Intell. Tools 23(3) (2014) - [j2]Ilias Theodorakopoulos, Dimitris Kastaniotis, George Economou, Spiros Fotopoulos:
Pose-based human action recognition via sparse representation in dissimilarity space. J. Vis. Commun. Image Represent. 25(1): 12-23 (2014) - [j1]Ilias Theodorakopoulos, Dimitris Kastaniotis, George Economou, Spiros Fotopoulos:
HEp-2 cells classification via sparse representation of textural features fused into dissimilarity space. Pattern Recognit. 47(7): 2367-2378 (2014)
Conference and Workshop Papers
- 2022
- [c22]Paola Busia, Ilias Theodorakopoulos, Vasileios K. Pothos, Nikos Fragoulis, Paolo Meloni:
Dynamic Pruning for Parsimonious CNN Inference on Embedded Systems. DASIP 2022: 45-56 - 2021
- [c21]Ilias Theodorakopoulos, George Economou:
Semantic Information in Gating Patterns of Dynamic Convolutional Neural Networks. IISA 2021: 1-8 - 2020
- [c20]Ilias Theodorakopoulos, Foteini Fotopoulou, George Economou:
Local Manifold Regularization for Knowledge Transfer in Convolutional Neural Networks. IISA 2020: 1-8 - 2019
- [c19]Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo:
Optimization and deployment of CNNs at the edge: the ALOHA experience. CF 2019: 326-332 - [c18]Nikolaos Fragoulis, Ilias Theodorakopoulos, Vasileios K. Pothos, Evangelos Vassalos:
Dynamic Pruning of CNN networks. IISA 2019: 1-5 - 2018
- [c17]Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo:
ALOHA: an architectural-aware framework for deep learning at the edge. INTESA@ESWEEK 2018: 19-26 - [c16]Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos:
Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. ICM 2018: 52-55 - [c15]Dimitrios Tsourounis, Ilias Theodorakopoulos, Elias N. Zois:
Handwritten Signature Verification via Deep Sparse Coding Architecture. IVMSP 2018: 1-5 - 2017
- [c14]Elias N. Zois, Ilias Theodorakopoulos, Dimitrios Tsourounis, George Economou:
Parsimonious Coding and Verification of Offline Handwritten Signatures. CVPR Workshops 2017: 636-645 - [c13]Elias N. Zois, Ilias Theodorakopoulos, George Economou:
Offline Handwritten Signature Modeling and Verification Based on Archetypal Analysis. ICCV 2017: 5515-5524 - 2014
- [c12]Ilias Theodorakopoulos, Dimitris Kastaniotis, George Economou, Spiros Fotopoulos:
HEp-2 Cells Classification Using Morphological Features and a Bundle of Local Gradient Descriptors. I3A@ICPR 2014: 33-36 - 2013
- [c11]Dimitris Kastaniotis, Ilias Theodorakopoulos, George Economou, Spiros Fotopoulos:
HEp-2 cells classification using locally aggregated features mapped in the dissimilarity space. BIBE 2013: 1-4 - [c10]Nefeli Vassiliki Politi-Stergiou, Ilias Theodorakopoulos, George Economou:
Local focus-tolerant image descriptors for classification of biological particles. BIBE 2013: 1-4 - [c9]Dimitris Kastaniotis, Ilias Theodorakopoulos, George Economou, Spiros Fotopoulos:
Gait-based gender recognition using pose information for real time applications. DSP 2013: 1-6 - [c8]Ilias Theodorakopoulos, George Economou, Spiros Fotopoulos:
Unsupervised music segmentation via multi-scale processing of compressive features' representation. DSP 2013: 1-6 - [c7]Ilias Theodorakopoulos, George Economou, Spiros Fotopoulos:
Classification of Dissimilarity Data via Sparse Representation. ICPRAM 2013: 194-199 - [c6]Fotini Fotopoulou, Dimitris Kastaniotis, Ilias Theodorakopoulos, George Economou:
Shape Representation via the Generalized Geodesic Median Point. ICPRAM 2013: 473-478 - [c5]Ilias Theodorakopoulos, George Economou, Spiros Fotopoulos, Apostolos Ifantis:
On-line signature recognition via fusion of dynamic features into dissimilarity space. ISSPIT 2013: 440-445 - [c4]Ilias Theodorakopoulos, George Economou, Spiros Fotopoulos:
Collaborative Sparse Representation in Dissimilarity Space for Classification of Visual Information. ISVC (1) 2013: 496-506 - 2012
- [c3]Ilias Theodorakopoulos, Dimitris Kastaniotis, George Economou, Spiros Fotopoulos:
HEp-2 Cells classification via fusion of morphological and textural features. BIBE 2012: 689-694 - 2011
- [c2]Fotini Fotopoulou, Ilias Theodorakopoulos, George Economou:
Fusion in phase space for shape retrieval. EUSIPCO 2011: 936-940 - [c1]Ilias Theodorakopoulos, Ioannis Rigas, George Economou, Spiros Fotopoulos:
Face recognition via local sparse coding. ICCV 2011: 1647-1652
Informal and Other Publications
- 2023
- [i3]Dimitrios Tsourounis, Ilias Theodorakopoulos, Elias N. Zois, George Economou:
Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification. CoRR abs/2308.01136 (2023) - 2018
- [i2]Elias N. Zois, Dimitrios Tsourounis, Ilias Theodorakopoulos, Anastasios L. Kesidis, George Economou:
A comprehensive study of sparse representation techniques for offline signature verification. CoRR abs/1807.05039 (2018) - 2017
- [i1]Ilias Theodorakopoulos, Vasileios K. Pothos, Dimitris Kastaniotis, Nikos Fragoulis:
Parsimonious Inference on Convolutional Neural Networks: Learning and applying on-line kernel activation rules. CoRR abs/1701.05221 (2017)
Coauthor Index
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