A European Excellence Centre for Media, Society and Democracy

Rezultaty

Intermediate report on dissemination and communication activities
Intermediate toolset for robust, explainable, fair, and privacy-preserving AI
Overview & Analysis of the AI Policy Initiatives in EU level

Overview Analysis of the AI Policy Initiatives in EU level

Initial call documentation
Second generation of Human- and Society-centered AI algorithms
Initial White Paper on the social, economic, and political impact of media AI Technologies

Initial White Paper on the social economic and political impact of media AI Technologies

Initial approaches for decentralised and high-performance learning

Initial approaches for decentralised and highperformance learning Contains outputs of T34 T35 T38

Report on Computationally Demanding Deep Learning
IAIDA organisation and curriculum design
AI technologies and applications in media: State of Play, Foresight, and Research Directions

AI technologies and applications in media State of Play Foresight and Research Directions

Initial outcomes of new learning paradigms research

Initial outcomes of new learning paradigms research Contains outputs of T31 T33 T37

Analytics on the submitted proposals
AI4Media Strategic Research Agenda

The AI4Media Strategic Research Agenda lays out the strategic plan for AI4Media's R&I activities, presenting the main research themes to be tackled by the consortium and the potential impact of this research.

Initial analysis of the legal and ethical framework of trusted AI
Initial report on dissemination and communication activities
Final analysis of the legal and ethical framework of trusted AI
Pilot Policy Recommendations for the use of AI in the Media Sector
Report on European AI branding and excellence spreading
Initial report on Multimedia Production
Initial report on Multimedia Summarisation and Analysis
Initial toolset for robust, explainable, fair, and privacy-preserving AI

Initial toolset for robust explainable fair and privacypreserving AI

Final White Paper on the social, economic, and political impact of media AI Technologies
Report on Policy for Content Moderation
Intermediate outcomes of new learning paradigms research

Intermediate outcomes of new learning paradigms research: Update of D3.1, including additionally inputs from T3.2 and T3.6.

First generation of Human- and Society-centered AI algorithms

First generation of Human and Societycentered AI algorithms

Prototype platform for AI dataset benchmarking
Extended version of the integration result with the AI-On-Demand-Platform
Integration plan and initial version of the integration result with the AI-On-Demand-Platform

Integration plan and initial version of the integration result with the AIOnDemandPlatform

Final platform for AI dataset benchmarking

Initial Data Management Plan

Publikacje

Hebbian semi-supervised learning in a sample efficiency setting

Autorzy: Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Opublikowane w: Neural Networks, Numer 143, 2021, Strona(/y) 719-731, ISSN 0893-6080
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2021.08.003

Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS

Autorzy: Jakub Lokoč, Stelios Andreadis, Werner Bailer, Aaron Duane, Cathal Gurrin, Zhixin Ma, Nicola Messina, Thao-Nhu Nguyen, Ladislav Peška, Luca Rossetto, Loris Sauter, Konstantin Schall, Klaus Schoeffmann, Omar Shahbaz Khan, Florian Spiess, Lucia Vadicamo, Stefanos Vrochidis
Opublikowane w: Multimedia Systems, Numer 88, 2023, ISSN 0942-4962
Wydawca: Springer Verlag
DOI: 10.1007/s00530-023-01143-5

100-Driver: A Large-scale, Diverse Dataset for Distracted Driver Classification

Autorzy: Jing Wang; Wenjing Li; Fang Li; Jun Zhang; Zhongcheng Wu; Zhun Zhong, Nicu Sebe
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, Numer 24, 2023, ISSN 1524-9050
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3255923

Quasi-Equilibrium Feature Pyramid Network for Salient Object Detection

Autorzy: Yue Song, Hao Tang, Mengyi Zhao, Nicu Sebe, Wei Wang
Opublikowane w: IEEE Transactions on Image Processing, Numer 31, 2022, Strona(/y) 7144 - 7153, ISSN 1057-7149
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2022.3220058

Multi-Camera Vehicle Counting Using Edge-AI

Autorzy: Luca Ciampi, Claudio Gennaro, Fabio Carrara, Fabrizio Falchi, Claudio Vairo, Giuseppe Amato
Opublikowane w: Expert Systems with Applications, Numer 207, 2022, ISSN 0957-4174
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2022.117929

Local and Global GANs With Semantic-Aware Upsampling for Image Generation

Autorzy: Hao Tang, Ling Shao, Philip H.S. Torr, Nicu Sebe
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numer 45, 2022, Strona(/y) 768 - 784, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2022.3155989

solo-learn: A Library of Self-supervised Methods for Visual Representation Learning

Autorzy: Victor G. Turrisi da Costa; Enrico Fini; Moin Nabi; Niculae Sebe; Elisa Ricci
Opublikowane w: Journal of Machine Learning Research, Numer 23, 2022, ISSN 1533-7928
Wydawca: JMLR, Inc.
DOI: 10.5281/zenodo.6363321

(Compress and Restore) N : a Robust Defense Against Adversarial Attacks on Image Classification

Autorzy: Claudio Ferrari; Federico Fecattini; Leonardo Galteri; Alberto Del Bimbo
Opublikowane w: ACM Transactions on Multimedia Computing, Communications, and Applications, 2022, ISSN 1551-6857
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3524619

Source-Free Open Compound Domain Adaptation in Semantic Segmentation

Autorzy: Yuyang Zhao, Zhun Zhong, Zhiming Luo, Gim Hee Lee, Nicu Sebe
Opublikowane w: IEEE Transactions on Circuits and Systems for Video Technology, Numer 32, 2022, Strona(/y) 7019 - 7032, ISSN 1051-8215
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcsvt.2022.3179021

Learning to count biological structures with raters’ uncertainty

Autorzy: Luca Ciampi, Fabio Carrara , Valentino Totaro, Raffaele Mazziotti Leonardo Lupori, Carlos Santiago, Giuseppe Amato, Tommaso Pizzorusso, Claudio Gennaro
Opublikowane w: Medical Image Analysis, Numer 80, 2022, ISSN 1361-8415
Wydawca: Elsevier BV
DOI: 10.1016/j.media.2022.102500

CL2R: Compatible Lifelong Learning Representations

Autorzy: Niccoló Biondi, Federico Pernici, Matteo Bruni, Daniele Mugnai, Alberto Del Bimbo
Opublikowane w: ACM Transactions on Multimedia Computing, Communications, and Applications, Numer 18, 2022, ISSN 1551-6857
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3564786

Graph Neural Networks for Graph Drawing

Autorzy: Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
Opublikowane w: IEEE Transactions on Neural Networks and Learning Systems, 2022, ISSN 2162-237X
Wydawca: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2022.3184967

ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation

Autorzy: Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai
Opublikowane w: IEEE Transactions on Multimedia, Numer 25, 2023, Strona(/y) 3343 - 3353, ISSN 1520-9210
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmm.2022.3159115

Learning and Reasoning for Cultural Metadata Quality: Coupling symbolic AI and Machine Learning over a semantic Web knowledge graph to support museum curators in improving the quality of cultural metadata and information retrieval

Autorzy: Anna Bobasheva, Fabien Gandon, Frederic Precioso
Opublikowane w: Journal on Computing and Cultural Heritage, 2021, ISSN 1556-4673
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3485844

Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation

Autorzy: Hao Tang, Philip H.S. Torr, Nicu Sebe
Opublikowane w: EEE Transactions on Pattern Analysis and Machine Intelligence, Numer 45, 2023, Strona(/y) 6055-6071, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2022.3212915

MeVer NetworkX: Network Analysis and Visualization for Tracing Disinformation

Autorzy: Olga Papadopoulou; Themistoklis Makedas; Lazaros Apostolidis; Francesco Poldi; Symeon Papadopoulos; Ioannis Kompatsiaris
Opublikowane w: Future Internet, Numer 14, 2022, ISSN 1999-5903
Wydawca: MDPI
DOI: 10.3390/fi14050147

Playing Against the Board: Rolling Horizon Evolutionary Algorithms Against Pandemic

Autorzy: Sfikas, Konstantinos; Liapis, Antonios
Opublikowane w: IEEE Transactions on Games, 2021, ISSN 2475-1510
Wydawca: IEEE
DOI: 10.1109/TG.2021.3069766

Deep Unsupervised Key Frame Extraction for Eficient Video Classification

Autorzy: Hao Tang, Lei Ding, Songsong Wu, Bin Ren, Nicu Sebe, Paolo Rota
Opublikowane w: ACM Transactions on Multimedia Computing, Communications, and Applications, Numer 19, 2023, ISSN 1551-6857
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3571735

Hyperspherical class prototypes for adversarial robustness

Autorzy: Vasileios Mygdalis, Ioannis Pitas
Opublikowane w: Pattern Recognition, Numer 125, 2022, ISSN 0031-3203
Wydawca: Pergamon Press
DOI: 10.1016/j.patcog.2022.108527

p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks

Autorzy: Emmanouil Krasanakis; Symeon Papadopoulos; Ioannis Kompatsiaris
Opublikowane w: IEEE Access, 2022, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2022.3159688

Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling

Autorzy: Yue Song, Hao Tang, Nicu Sebe, Wei Wang
Opublikowane w: ACM Transactions on Multimedia Computing, Communications, and Applications, Numer 19, 2023, ISSN 1551-6857
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3513134

Orthogonal SVD Covariance Conditioning and Latent Disentanglement

Autorzy: Yue Song, Nicu Sebe, Wei Wang
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numer 45, 2023, Strona(/y) 8773 - 8786, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2022.3228979

When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition With Limited Data

Autorzy: Hao Tang; Hong Liu; Wei Xiao; Nicu Sebe
Opublikowane w: IEEE Transactions on Neural Networks and Learning Systems, Numer 32, 2021, Strona(/y) 2129-2141, ISSN 2162-2388
Wydawca: IEEE
DOI: 10.1109/tnnls.2020.2997289

Behavioral impulsivity is associated with pupillary alterations and hyperactivity in CDKL5 mutant mice

Autorzy: Aurelia Viglione, Giulia Sagona, Fabio Carrara, Giuseppe Amato, Valentino Totaro, Leonardo Lupori, Elena Putignano, Tommaso Pizzorusso, Raffaele Mazziotti
Opublikowane w: Human Molecular Genetics, Numer 31, 2023, Strona(/y) 4107–4120, ISSN 0964-6906
Wydawca: Oxford University Press
DOI: 10.1093/hmg/ddac164

MEYE: Web App for Translational and Real-Time Pupillometry

Autorzy: Raffaele Mazziotti; Fabio Carrara; Aurelia Viglione; Leonardo Lupori; Luca Lo Verde; Alessandro Benedetto; Giulia Ricci; Giulia Sagona; Giuseppe Amato; Tommaso Pizzorusso; Tommaso Pizzorusso
Opublikowane w: eNeuro, Numer 8, 2021, ISSN 2373-2822
Wydawca: Society for Neuroscience
DOI: 10.1523/eneuro.0122-21.2021

TweepFake: About detecting deepfake tweets

Autorzy: Tiziano Fagni, Fabrizio Falchi,Margherita Gambini, Antonio Martella, Maurizio Tesconi
Opublikowane w: PLoS ONE, Numer 16, 2021, ISSN 1932-6203
Wydawca: Public Library of Science
DOI: 10.1371/journal.pone.0251415

Fine-Grained Adversarial Semi-supervised Learning

Autorzy: Daniele Mugnai; Federico Pernici; Francesco Turchini; Alberto del Bimbo
Opublikowane w: ACM Transactions on Multimedia Computing, Communications, and Applications, Numer 18, 2022, Strona(/y) 1-19, ISSN 1551-6857
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3485473

Deep Networks for Behavioral Variant Frontotemporal Dementia Identification from Multiple Acquisition Sources

Autorzy: Marco Di Benedetto, Fabio Carrara, Benedetta Tafuri, Salvatore Nigro, Roberto De Blasi, Fabrizio Falchi, Claudio Gennaro, Giuseppe Gigli, Giancarlo Logroscino, Giuseppe Amato
Opublikowane w: Computers in Biology and Medicine, Numer 148, 2022, ISSN 0010-4825
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2022.105937

pygrank: A python package for graph node ranking

Autorzy: Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris, Andreas L. Symeonidis
Opublikowane w: SoftwareX, Numer 20, 2022, ISSN 2352-7110
Wydawca: Elsevier BV
DOI: 10.1016/j.softx.2022.101227

Report on the 1st International Workshop on Learning to Quantify (LQ 2021)

Autorzy: Juan Jose del Coz, Pablo Gonzalez, Alejandro Moreo, Fabrizio Sebastiani
Opublikowane w: ACM SIGKDD Explorations Newsletter, Numer 24, 2022, ISSN 1931-0153
Wydawca: Association for Computing Machinery
DOI: 10.1145/3544903.3544910

Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration

Autorzy: Juanjuan Weng, Zhiming Luo, Shaozi Li, Nicu Sebe, Zhun Zhong
Opublikowane w: IEEE Transactions on Information Forensics and Security, Numer 18, 2023, Strona(/y) 3561 - 3574, ISSN 1556-6013
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tifs.2023.3284649

Data-driven personalisation of Television Content: A Survey

Autorzy: Lyndon Nixon, Jeremy Foss, Konstantinos Apostolidis, Vasileios Mezaris
Opublikowane w: Multimedia Systems, Numer 28, 2022, Strona(/y) 2193–2225, ISSN 1432-1882
Wydawca: Springer-Verlag GmbH
DOI: 10.1007/s00530-022-00926-6

Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis

Autorzy: Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe
Opublikowane w: International Journal of Computer Vision, Numer 131, 2023, Strona(/y) 644–658, ISSN 0920-5691
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s11263-022-01722-5

Dungeons & Replicants II: Automated Game Balancing Across Multiple Difficulty Dimensions via Deep Player Behavior Modeling

Autorzy: Johannes Pfau, Antonios Liapis, Georgios N. Yannakakis, Rainer Malaka
Opublikowane w: IEEE Transactions on Games, Numer 15, 2023, Strona(/y) 217 - 227, ISSN 2475-1510
Wydawca: IEEE
DOI: 10.1109/tg.2022.3167728

Logic Explained Networks

Autorzy: Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
Opublikowane w: Artificial Intelligence, Numer 314, 2023, ISSN 0004-3702
Wydawca: Elsevier BV
DOI: 10.1016/j.artint.2022.103822

Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks

Autorzy: Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato
Opublikowane w: Neural Computing and Applications, Numer 34, 2022, Strona(/y) 6503–6519, ISSN 0941-0643
Wydawca: Springer Verlag
DOI: 10.1007/s00521-021-06701-4

Layout-to-Image Translation With Double Pooling Generative Adversarial Networks

Autorzy: Tang, Hao; Sebe, Nicu
Opublikowane w: IEEE Transactions on Image Processing, Numer 30, 2021, Strona(/y) 7903 - 7913, ISSN 1057-7149
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TIP.2021.3109531

A leap among quantum computing and quantum neural networks: a survey

Autorzy: Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi
Opublikowane w: ACM Computing Surveys, Numer 55, 2022, Strona(/y) 1–37, ISSN 0360-0300
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3529756

Low-Budget Label Query through Domain Alignment Enforcement

Autorzy: Cristiano Saltori , Paolo Rota, Nicu Sebe, Jurandy Almeida
Opublikowane w: Computer Vision and Image Understanding, Numer 222, 2022, ISSN 1077-3142
Wydawca: Academic Press
DOI: 10.1016/j.cviu.2022.103485

Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN

Autorzy: Lorenzo Agnolucci; Leonardo Galteri; Marco Bertini; Alberto Del Bimbo
Opublikowane w: IEEE Transactions on Multimedia, 2023, ISSN 1520-9210
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmm.2023.3264882

CoReS: Compatible Representations via Stationarity

Autorzy: Niccolò Biondi;, Federico Pernici, Matteo Bruni, Alberto Del Bimbo
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numer 45, 2023, Strona(/y) 9567 - 9582, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2023.3259542

A comprehensive study of class incremental learning algorithms for visual tasks.

Autorzy: Eden Belouadah; Adrian Popescu; Ioannis Kanellos
Opublikowane w: Neural Networks, Numer 135, 2021, Strona(/y) 38-54, ISSN 0893-6080
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2020.12.003

A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences

Autorzy: Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, José Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro Henriques Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller
Opublikowane w: Artificial Intelligence Review, Numer 56, 2022, Strona(/y) 3473–3504, ISSN 1573-7462
Wydawca: Springer Nature
DOI: 10.1007/s10462-022-10256-8

Effective triplet mining improves training of multi-scale pooled CNN for image retrieval

Autorzy: Federico Vaccaro, Tiberio Uricchio, Marco Bertini, Alberto Del Bimbo
Opublikowane w: Machine Vision and Applications, Numer 33, 2022, ISSN 1432-1769
Wydawca: Springer-Verlag GmbH
DOI: 10.1007/s00138-021-01260-z

Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport

Autorzy: Luca Ciampi; Paweł Foszner; Nicola Messina; Michał Staniszewski; Claudio Gennaro; Fabrizio Falchi; Gianluca Serao; Michał Cogiel; Dominik Golba; Agnieszka Szczęsna; Giuseppe Amato
Opublikowane w: Sensors, Numer 22, 2022, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22218345

Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments

Autorzy: Xiao Bai, Xiang Wang, Xianglong Liu, Qiang Liu, Jingkuan Song, Nicu Sebe, Been Kim
Opublikowane w: Pattern Recognition, Numer 120, 2021, ISSN 0031-3203
Wydawca: Pergamon Press
DOI: 10.1016/j.patcog.2021.108102

Same or Different? Diff-Vectors for Authorship Analysis

Autorzy: Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani
Opublikowane w: ACM Transactions on Knowledge Discovery from Data, Numer 18, 2023, ISSN 1556-4681
Wydawca: Special Interest Group on Computer Graphics, Association for Computing Machinery
DOI: 10.1145/3609226

Curriculum self-paced learning for cross-domain object detection

Autorzy: Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Niculae Sebe
Opublikowane w: Computer Vision and Image Understanding, Numer 204, 2021, ISSN 1077-3142
Wydawca: Academic Press
DOI: 10.1016/j.cviu.2021.103166

Lost in Transduction: Transductive Transfer Learning in Text Classification

Autorzy: Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
Opublikowane w: ACM Transactions on Knowledge Discovery from Data, Numer 6, 2022, Strona(/y) 1-21, ISSN 1556-4681
Wydawca: Special Interest Group on Computer Graphics, Association for Computing Machinery
DOI: 10.1145/3453146

TRACK: A New Method from a Re-examination of Deep Architectures for Head Motion Prediction in 360-degree Videos

Autorzy: Miguel Fabian Romero Rondon, Lucile Sassatelli, Ramon Aparicio-Pardo, Frederic Precioso
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2021.3070520

LANBIQUE: LANguage-based Blind Image QUality Evaluation

Autorzy: Leonardo Galteri; Lorenzo Seidenari; Pietro Bongini; Marco Bertini; Alberto Del Bimbo
Opublikowane w: ACM Transactions on Multimedia Computing, Communications, and Applications, 2022, ISSN 1551-6857
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3538649

Mitigating robust overfitting via self-residual-calibration regularization

Autorzy: Hong Liu, Zhun Zhong, Nicu Sebe, Shin'ichi Satoh
Opublikowane w: Artificial Intelligence, Numer 317, 2023, ISSN 0004-3702
Wydawca: Elsevier BV
DOI: 10.1016/j.artint.2023.103877

Curriculum Learning: A Survey

Autorzy: Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe
Opublikowane w: International Journal of Computer Vision, Numer 130, 2022, Strona(/y) 1526–1565, ISSN 0920-5691
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s11263-022-01611-x

Word-Class Embeddings for Multiclass Text Classification

Autorzy: Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
Opublikowane w: Data Mining and Knowledge Discovery, 2021, ISSN 1384-5810
Wydawca: Kluwer Academic Publishers
DOI: 10.5281/zenodo.4468313

One qubit as a universal approximant

Autorzy: Adrián Pérez-Salinas; Adrián Pérez-Salinas; David López-Núñez; David López-Núñez; Artur Garcia-Saez; P. Forn-Díaz; José I. Latorre
Opublikowane w: Physical Review A, Numer 104, 2021, ISSN 1094-1622
Wydawca: American Physical Society
DOI: 10.1103/physreva.104.012405

From the Lab to the Wild: Affect Modeling Via Privileged Information

Autorzy: Konstantinos Makantasis, Kosmas Pinitas, Antonios Liapis, Georgios N. Yannakakis
Opublikowane w: IEEE Transactions on Affective Computing, 2023, ISSN 1949-3045
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TAFFC.2023.3265072

Total Generate: Cycle In Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural Scenes

Autorzy: Hao Tang; Nicu Sebe
Opublikowane w: IEEE Transactions on Multimedia, 2021, ISSN 1941-0077
Wydawca: IEEE
DOI: 10.1109/tmm.2021.3091847

AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks

Autorzy: Tang, Hao; Liu, Hong; Xu, Dan; Torr, Philip; Sebe, Nicu
Opublikowane w: IEEE Transactions on Neural Networks and Learning Systems, 2021, ISSN 2162-2388
Wydawca: IEEE
DOI: 10.1109/TNNLS.2021.3105725

Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification

Autorzy: Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastian
Opublikowane w: ACM Transactions on Information Systems, Numer 41, 2023, Strona(/y) 1–37, ISSN 1046-8188
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3544104

DDSP-Piano: A Neural Sound Synthesizer Informed by Instrument Knowledge

Autorzy: Lenny Renault, Rémi Mignot, Axel Roebel
Opublikowane w: Journal of the Audio Engineering Society (JAES), Numer 71, 2023, Strona(/y) 552-565, ISSN 1549-4950
Wydawca: Audio Engineering Society
DOI: 10.17743/jaes.2022.0102

Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato

Autorzy: Improving the Adversarial Robustness of Neural ODE Image Classifiers by Tuning the Tolerance Parameter
Opublikowane w: Information, Numer 13, 2022, ISSN 2078-2489
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info13120555

Open-Ended Evolution for Minecraft Building Generation

Autorzy: Matthew Barthet, Antonios Liapis, Georgios N. Yannakakis
Opublikowane w: IEEE Transactions on Games, 2022, ISSN 2475-1510
Wydawca: IEEE
DOI: 10.1109/tg.2022.3189426

A Survey on Deep Learning for Skeleton-Based Human Animation

Autorzy: Lucas Mourot; Ludovic Hoyet; Francois Le Clerc; François Schnitzler; Pierre Hellier
Opublikowane w: Computer Graphics Forum, Numer 41, 2021, Strona(/y) 122-157, ISSN 0167-7055
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/cgf.14426

Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach

Autorzy: Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Opublikowane w: Journal of Artificial Intelligence Research (JAIR), Numer 76, 2023, Strona(/y) 1117-1180, ISSN 1076-9757
Wydawca: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.14033

Unsupervised High-Resolution Portrait Gaze Correction and Animation

Autorzy: Jichao Zhang; Jingjing Chen; Hao Tang; Enver Sangineto; Peng Wu; Yan Yan; Nicu Sebe, Wei Wang
Opublikowane w: IEEE Transactions on Image Processing, Numer 31, 2022, Strona(/y) 5272-5286, ISSN 1057-7149
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2022.3191852

Regular Polytope Networks.

Autorzy: Federico Pernici; Matteo Bruni; Claudio Baecchi; Alberto Del Bimbo
Opublikowane w: IEEE Transactions on Neural Networks and Learning Systems, 2021, ISSN 2162-2388
Wydawca: IEEE
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Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality

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HeMoG: A White-Box Model to Unveil the Connection Between Saliency Information and Human Head Motion in Virtual Reality

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ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications

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Improving Synthetically Generated Image Detection in Cross-Concept Settings

Autorzy: Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris, Symeon Papadopoulos
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Deepfake Video Detection with Facial Features and Long-Short Term Memory Deep Networks

Autorzy: Dan-Cristian Stanciu; Bogdan Ionescu
Opublikowane w: 2021 International Symposium on Signals, Circuits and Systems (ISSCS), 2021
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Attention-Based Interpretable Regression of Gene Expression in Histology

Autorzy: Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez
Opublikowane w: Proceedings International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2022), 2022, Strona(/y) 44–60, ISBN 978-3-031-17975-4
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Leader and breakaway detection in racing sports videos

Autorzy: Sotirios Papadopoulos; Charalampos Symeonidis; Ioannis Pitas
Opublikowane w: 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), 2021, Strona(/y) 1-5
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Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?

Autorzy: De Herrera, A. G. S.; Kiziltepe, R. S.; Chamberlain, J.; Mihai Gabriel Constantin; Demarty, C. -H; Doctor, F.; Ionescu, B.; Smeaton, A. F.
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Reinforced Damage Minimization in Critical Events for Self-driving Vehicles

Autorzy: Francesco Merola; Fabrizio Falchi; Claudio Gennaro; Marco Di Benedetto
Opublikowane w: 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, Numer 5, 2022, Strona(/y) 258-266, ISBN 978-989-758-555-5
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Open Challenges in Synthetic Speech Detection

Autorzy: Luca Cuccovillo, Christoforos Papastergiopoulos, Anastasios Vafeiadis, Artem Yaroshchuk, Patrick Aichroth, Konstantinos Votis, Dimitrios Tzovaras
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Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model

Autorzy: Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding
Opublikowane w: Proceedings 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, Strona(/y) 18208-18217, ISBN 978-1-6654-6946-3
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Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism

Autorzy: Ioanna Gkartzonika, Nikolaos Gkalelis, Vasileios Mezaris
Opublikowane w: Proccedings European Conference on Computer Vision (ECCV 2022), 2022, ISBN 978-3-031-25085-9
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On Generalizing Permutation-Based Representations for Approximate Search

Autorzy: Lucia Vadicamo; Claudio Gennaro; Giuseppe Amato
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Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models

Autorzy: Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo
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MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification

Autorzy: Evan Dufraisse, Adrian Popescu, Julien Tourille, Armelle Brun, and Jerome Deshayes
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Neighborhood Contrastive Learning for Novel Class Discovery

Autorzy: Zhun Zhong; Enrico Fini; Subhankar Roy; Zhiming Luo; Elisa Ricci; Nicu Sebe
Opublikowane w: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Strona(/y) 10862-10870
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FAST DIFFERENTIABLE MATRIX SQUARE ROOT

Autorzy: Yue Song; Nicu Sebe; Wei Wang
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Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

Autorzy: Yahui Liu; Enver Sangineto; Yajing Chen; Linchao Bao; Haoxian Zhang; Nicu Sebe; Bruno Lepri; Wei Wang; Marco De Nadai
Opublikowane w: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Strona(/y) 10780-10789
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Few-Shot Bayesian Optimization with Deep Kernel Surrogates

Autorzy: Wistuba, Martin; Grabocka, Josif
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Procedural Terrain Generation Using Generative Adversarial Networks

Autorzy: George Voulgaris; Ioannis Mademlis; Ioannis Pitas
Opublikowane w: 2021 29th European Signal Processing Conference (EUSIPCO), 2021
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DivClust: Controlling Diversity in Deep Clustering

Autorzy: Ioannis Maniadis Metaxas*, Georgios Tzimiropoulos, Ioannis Patras
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Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames

Autorzy: Evlampios Apostolidis, Georgios Balaouras, Vasileios Mezaris, Ioannis Patras
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Referencing in YouTube Knowledge Communication Videos

Autorzy: HaeEun Kim, Daniel Gatica-Perez
Opublikowane w: Proceedings of the 2023 ACM International Conference on Interactive Media Experiences (IMX '23), 2023, Strona(/y) 60-70, ISBN 979-8-4007-0028-6
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Secure Random Sampling in Differential Privacy

Autorzy: Holohan, Naoise; Braghin, Stefano
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Generative Personas That Behave and Experience Like Humans

Autorzy: Matthew Barthet, Ahmed Khalifa, Antonios Liapis, Georgios Yannakakis
Opublikowane w: Proceedings of the 17th International Conference on the Foundations of Digital Games (FDG '22), 2022, ISBN 978-1-4503-9795-7
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Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions

Autorzy: Kosmas Pinitas, David Renaudie, Mike Thomsen, Matthew Barthet, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis
Opublikowane w: Proceedings of the 25th International Conference on Multimodal Interaction (ICMI '23), 2023, Strona(/y) 488–497, ISBN 979-8-4007-0055-2
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Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis

Autorzy: Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool
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Seeding Diversity into AI Art

Autorzy: Marvin Zammit, Antonios Liapis, Georgios N. Yannakakis
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Development of a Realistic Crowd Simulation Environment for Fine-grained Validation of People Tracking Methods

Autorzy: Paweł Foszner; Agnieszka Szczęsna; Luca Ciampi; Nicola Messina; Adam Cygan; Bartosz Bizoń; Michał Cogiel; Dominik Golba; Elżbieta Macioszek; Michał Staniszewski
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Learning Task-Independent Game State Representations from Unlabeled Images

Autorzy: Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis
Opublikowane w: Proceedings 2022 IEEE Conference on Games (CoG), 2022, Strona(/y) 88–95, ISBN 978-1-6654-5990-7
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Estimating continuous affect with label uncertainty

Autorzy: Foteinopoulou, Niki Maria; Tzelepis, Christos; Patras, Ioannis
Opublikowane w: 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), 2021
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Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization

Autorzy: Simone Barattin, Christos Tzelepis, Ioannis Patras, Nicu Sebe
Opublikowane w: Proceedings 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, ISBN 979-8-3503-0129-8
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SkipW: Resource Adaptable RNN with Strict Upper Computational Limit

Autorzy: Tsiry Mayet, Anne Lambert, Pascal Leguyadec, Francoise Le Bolzer, François Schnitzler
Opublikowane w: 9th International Conference on Learning Representations (ICLR), 2021, 2021
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Recurrent Vision Transformer for Solving Visual Reasoning Problems

Autorzy: Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi
Opublikowane w: Proceedings 21st International Conference on Image Analysis and Processing – ICIAP 2022, 2022, Strona(/y) 50-61, ISBN 978-3-031-06433-3
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Adaptive Soft Contrastive Learning

Autorzy: Chen Feng, Ioannis Patras
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VISIONE: a large-scale video retrieval system with advanced search functionalities

Autorzy: Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo
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Conditioned Image Retrieval for Fashion using Contrastive Learning and CLIP-based Features

Autorzy: Alberto Baldrati; Marco Bertini; Tiberio Uricchio; Alberto Del Bimbo
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Evaluating Hebbian Learning in a Semi-supervised Setting

Autorzy: Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato
Opublikowane w: Machine Learning, Optimization, and Data Science 7th International Conference, LOD 2021, Numer 2, 2022, Strona(/y) 365-379, ISBN 978-3-030-95470-3
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Learning from Label Relationships in Human Affect

Autorzy: Niki Maria Foteinopoulou, Ioannis Patras
Opublikowane w: Proceedings of the 30th ACM International Conference on Multimedia (MM '22), 2022, Strona(/y) 80–89, ISBN 978-1-4503-9203-7
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Face Verification with Challenging Imposters and Diversified Demographics

Autorzy: Adrian Popescu; Liviu-Daniel Ştefan; Jérôme Deshayes-Chossart; Bogdan Ionescu
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Dataset Knowledge Transfer for Class-Incremental Learning without Memory

Autorzy: Habib Slim; Eden Belouadah; Adrian Popescu; Darian Onchis
Opublikowane w: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, Strona(/y) 3311-3320
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Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

Autorzy: Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee
Opublikowane w: Proceedings 17th European Conference on Computer Vision (ECCV 2022, 2022, Strona(/y) 535–552, ISBN 978-3-031-19783-3
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Unsupervised Domain Adaptation for Video Violence Detection in the Wild

Autorzy: Luca Ciampi , Carlos Santiago, Joao Costeira, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
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A Graph Diffusion Scheme for Decentralized Content Search based on Personalized PageRank

Autorzy: Nikolaos Giatsoglou; Emmanouil Krasanakis; Symeon Papadopoulos; Ioannis Kompatsiaris
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DeepFusion: Deep Ensembles for Domain Independent System Fusion

Autorzy: Mihai Gabriel Constantin, Liviu-Daniel Ștefan, Bogdan Ionescu
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Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification

Autorzy: Fengxiang Yang; Zhun Zhong; Zhiming Luo; Yuanzheng Cai; Yaojin Lin; Shaozi Li; Nicu Sebe
Opublikowane w: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021, ISBN 978-1-6654-4509-2
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Raising User Awareness about the Consequences of Online Photo Sharing

Autorzy: Hugo Schindler, Adrian Popescu, Khoa Nguyen, Jerome Deshayes-Chossart
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PEM360: a dataset of 360° videos with continuous physiological measurements, subjective emotional ratings and motion traces

Autorzy: Quentin Guimard, Florent Robert, Camille Bauce, Aldric Ducreux, Lucile Sassatelli, Hui-Yin Wu, Marco Winckler, Auriane Gros
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Improving Query and Assessment Quality in Text-Based Interactive Video Retrieval Evaluation

Autorzy: Werner Bailer, Rahel Arnold, Vera Benz, Davide Alessandro Coccomini, Anastasios Gkagkas, Gylfi Þór Guðmundsson, Silvan Heller, Björn Þór Jónsson, Jakub Lokoc, Nicola Messina, Nick Pantelidis, Jiaxin Wu
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The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild

Autorzy: Spiros Baxevanakis, Giorgos Kordopatis-Zilos, Panagiotis Galopoulos, Lazaros Apostolidis, Killian Levacher, Ipek Baris Schlicht, Denis Teyssou, Ioannis Kompatsiaris, Symeon Papadopoulos
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Evaluation and Comparison of CNN Visual Explanations for Histopathology

Autorzy: Mara Graziani, Thomas Lompech, Henning Müller, Vincent Andrearczyk
Opublikowane w: Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021
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On the Generalizability of Two-dimensional Convolutional Neural Networks for Fake Speech Detection

Autorzy: Christoforos Papastergiopoulos, Anastasios Vafeiadis, Ioannis Papadimitriou, Konstantinos Votis, Dimitrios Tzovaras
Opublikowane w: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation (MAD '22), 2022, Strona(/y) 3-9, ISBN 978-1-4503-9242-6
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Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework

Autorzy: David Alonso del Barrio, Daniel Gatica-Perez
Opublikowane w: Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation (MAD '23), 2023, Strona(/y) 52–59
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Detecting speaking persons in video

Autorzy: Hannes Fassold
Opublikowane w: 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), 2021
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Unveiling Real-Life Effects of Online Photo Sharing

Autorzy: Van-Khoa Nguyen; Adrian Popescu; Jérôme Deshayes-Chossart
Opublikowane w: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
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Uncovering the Strength of Capsule Networks in Deepfake Detection

Autorzy: Dan-Cristian Stanciu, Bogdan Ionescu
Opublikowane w: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation (MAD '22), 2022, Strona(/y) 69–77
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A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify

Autorzy: Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti
Opublikowane w: Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, 2022, Strona(/y) 1849-1868
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Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding

Autorzy: Guofeng Mei, Cristiano Saltori, Fabio Poiesi, Jian Zhang, Elisa Ricci, Nicu Sebe, Qiang Wu
Opublikowane w: Proccedings 33rd British Machine Vision Conference (BMVC 2022), 2022
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Class-incremental Novel Class Discovery

Autorzy: Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci
Opublikowane w: Proceedings 17th European Conference on Computer Vision (ECCV 2022), 2022, Strona(/y) 317–333, ISBN 978-3-031-19783-3
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A Sea of Words: An In-Depth Analysis of Anchors for Text Data

Autorzy: Gianluigi Lopardo, Frederic Precioso, Damien Garreau
Opublikowane w: Proceedings 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), 2023, Strona(/y) 4848-4879
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Approximate Nearest Neighbor Search on Standard Search Engines

Autorzy: Fabio Carrara, Lucia Vadicamo, Claudio Gennaro, Giuseppe Amato
Opublikowane w: Proceedings 15th International Conference on Similarity Search and Applications (SISAP 2022), Numer 214-221, 2022, ISBN 978-3-031-17848-1
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SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise

Autorzy: Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
Opublikowane w: Proceedings 33rd British Machine Vision Conference 2022 (BMVC 2022), 2022
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Locally Private Graph Neural Network

Autorzy: Sina Sajadmanesh, Daniel Gatica-Perez
Opublikowane w: 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS '21), 2021, Strona(/y) 2130–2145
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Selecting A Diverse Set Of Aesthetically-Pleasing and Representative Video Thumbnails Using Reinforcement Learning

Autorzy: Evlampios Apostolidis,Georgios Balaouras, Vasileios Mezaris, Ioannis Patras
Opublikowane w: Proceedings 2023 IEEE International Conference on Image Processing (ICIP), 2023, ISBN 978-1-7281-9836-1
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Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches

Autorzy: Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato
Opublikowane w: Machine Learning, Optimization, and Data Science 7th International Conference, LOD 2021, Numer 1, 2022, ISBN 978-3-030-95467-3
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A Qualitative Investigation of Optical Flow Algorithms for Video Denoising

Autorzy: Hannes Fassold
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Inplace knowledge distillation with teacher assistant for improved training of flexible deep neural networks

Autorzy: Ozerov, Alexey; Duong, Ngoc,
Opublikowane w: 29th European Signal Processing Conference, EUSIPCO 2021, Aug 2021, Dublin, Ireland, 2021, Strona(/y) 1356-1360, ISBN 978-9-0827-9706-0
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Partially Fake it Till you Make It: Mixing Real and Fake Thermal Images for Improved Object Detection

Autorzy: Francesco Bongini; Lorenzo Berlincioni; Marco Bertini; Alberto Del Bimbo
Opublikowane w: MM '21: Proceedings of the 29th ACM International Conference on Multimedia, 2021, Strona(/y) 5482–5490, ISBN 978-1-4503-8651-7
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The Florence 4D Facial Expression Dataset

Autorzy: Filippo Principi; Stefano Berretti; Claudio Ferrari; Naima Otberdout; Mohamed Daoudi; Alberto Del Bimbo
Opublikowane w: Proceedings 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), 2023, ISBN 979-8-3503-4544-5
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Eliciting and Annotating Emotion in Virtual Spaces

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Using Vision Transformers and Memorable Moments for the Prediction of Video Memorability

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MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset

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On The Link Between Emotion, Attention And Content In Virtual Immersive Environments

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Making Few-shot Object Detection Simpler and Less Frustrating

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Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning

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Transformer Reasoning Network for Image-Text Matching and Retrieval

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Opublikowane w: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, ISBN 978-1-7281-8808-9
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Novel Class Discovery in Semantic Segmentation

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Opublikowane w: Proceedings 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, Strona(/y) 4330-4339, ISBN 978-1-6654-6946-3
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PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs

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Opublikowane w: Proceedings 11th International Conference on Learning Representations (ICLR2023), 2023
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SMACE: A New Method for the Interpretability of Composite Decision Systems

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Opublikowane w: Proceedings Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2022), 2022, Strona(/y) 325–339, ISBN 978-3-031-26386-6
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Contrastive Supervised Distillation for Continual Representation Learning

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Opublikowane w: Proceedings 21st International Conference on Image Analysis and Processing (ICIAP 2022), 2022, Strona(/y) 597–609, ISBN 978-3-031-06426-5
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Neural Knowledge Transfer for Sentiment Analysis in Texts with Figurative Language

Autorzy: Dionysios Karamouzas; Ioannis Mademlis; Ioannis Pitas
Opublikowane w: Proceedings 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), 2022, ISBN 978-1-6654-8548-7
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Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?

Autorzy: Yue Song; Niculae Sebe; Wei Wang
Opublikowane w: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, ISBN 978-1-6654-2812-5
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Re-assessing the “Classify and Count” Quantification Method

Autorzy: Moreo, Alejandro; Sebastiani, Fabrizio
Opublikowane w: European Conference on Information Retrieval ECIR 2021: Advances in Information Retrieval, 2021, Strona(/y) 75-91, ISBN 978-3-030-72240-1
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Knowledge-Driven Active Learning

Autorzy: Gabriele Ciravegna, Frédéric Precioso, Alessandro Betti, Kevin Mottin, Marco Gori
Opublikowane w: Proceedings Joint European Conference on Machine Learning and Knowledge Discovery in Databases (CML PKDD 2023), 2023, Strona(/y) 38-54, ISBN 978-3-031-43411-2
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Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction

Autorzy: Guanglei Yang; Hao Tang; Mingli Ding; Niculae Sebe; Elisa Ricci
Opublikowane w: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, ISBN 978-1-6654-2812-5
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StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face Reenactment

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Opublikowane w: Proceedings 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), 2023, ISBN 979-8-3503-4544-5
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GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

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Opublikowane w: Proceedings of the 32nd USENIX Security Symposium, 2023
Wydawca: USENIX
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Adversarial Unsupervised Video Summarization Augmented With Dictionary Loss

Autorzy: Michail Kaseris; Ioannis Mademlis; Ioannis Pitas
Opublikowane w: 2021 IEEE International Conference on Image Processing (ICIP), 2021, Strona(/y) 2683-2687
Wydawca: IEEE
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Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem

Autorzy: Sfikas, Konstantinos; Liapis, Antonios; Yannakakis, Georgios N.
Opublikowane w: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '21), 2021, Strona(/y) 180-188
Wydawca: Association for Computing Machinery (ACM)
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People@Places and ToDY: Two Datasets for Scene Classification in Media Production and Archiving

Autorzy: Werner Bailer, Hannes Fassold
Opublikowane w: Proceedings 29th International Conference on Multimedia Modeling (MMM 2023), Numer 489–501, 2022, ISBN 978-3-031-27076-5
Wydawca: Springer-Verlag, Berlin, Heidelberg
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Graph Transformer GANs for Graph-Constrained House Generation

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Opublikowane w: Proceedings 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Strona(/y) 2173-2182, ISBN 979-8-3503-0129-8
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Learning to Detect Fallen People in Virtual Worlds

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Opublikowane w: Proceedings of the 19th International Conference on Content-based Multimedia Indexing (CBMI '22), 2022, Strona(/y) 126–130, ISBN 978-1-4503-9720-9
Wydawca: Association for Computing Machinery
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Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems

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Opublikowane w: 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021, ISBN 9781665411844
Wydawca: IEEE
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Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation

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Opublikowane w: 32nd British Machine Vision Conference, 2021
Wydawca: British Machine Vision Association
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Go-Blend Behavior and Affect

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Opublikowane w: 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2021
Wydawca: IEEE
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Supervised Contrastive Learning for Affect Modelling

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Opublikowane w: Proceedings of the 2022 International Conference on Multimodal Interaction (ICMI '22), 2022, Strona(/y) 531–539, ISBN 978-1-4503-9390-4
Wydawca: Association for Computing Machinery
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Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization

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Opublikowane w: Pattern Recognition. ICPR International Workshops and Challenges, 2021, Strona(/y) 425-438, ISBN 978-3-030-68763-2
Wydawca: Springer International Publishing
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Detic-Track: Robust Detection and Tracking of Objects in Video

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Opublikowane w: Proceedings 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2022, ISBN 978-1-6654-7218-0
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Autoencoder-based Data Augmentation for Deepfake Detection

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Opublikowane w: Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation (MAD '23), 2023, Strona(/y) 19-27, ISBN 979-8-4007-0187-0
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VISIONE at Video Browser Showdown 2022

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Opublikowane w: Proceedings 28th International Conference on MultiMedia Modeling (MMM 2022), Numer 2, 2022, Strona(/y) 543–548, ISBN 978-3-030-98355-0
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QuaPy: A Python-Based Framework for Quantification

Autorzy: Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani
Opublikowane w: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021, Strona(/y) 4534–4543
Wydawca: Association for Computing Machinery
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WarpedGANSpace: Finding non-linear RBF paths in GAN latent space

Autorzy: Tzelepis, Christos; Tzimiropoulos, Georgios; Patras, Ioannis
Opublikowane w: 2021 IEEE/CVF International Conference on Computer Vision (ICCV2021), 2021, Strona(/y) 6373-6382, ISBN 978-1-6654-2812-5
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PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation

Autorzy: Bin Ren, Hao Tang, Yiming Wang, Xia Li, Wei Wang, Nicu Sebe
Opublikowane w: Proceedings ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, ISBN 978-1-7281-6327-7
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AffectGAN: Affect-Based Generative Art Driven by Semantics

Autorzy: Theodoros Galanos; Antonios Liapis; Georgios N. Yannakakis
Opublikowane w: 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2021, Strona(/y) 1-7, ISBN 978-1-6654-0021-3
Wydawca: IEEE
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Exploiting Caption Diversity for Unsupervised Video Summarization

Autorzy: Michail Kaseris, Ioannis Mademlis, Ioannis Pitas
Opublikowane w: Proceedings 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, ISBN 978-1-6654-0541-6
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Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation

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Opublikowane w: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Strona(/y) 5347-5356, ISSN 2575-7075
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SMART360: Simulating Motion prediction and Adaptive bitRate sTrategies for 360° video streaming

Autorzy: Quentin Guimard, Lucile Sassatelli
Opublikowane w: Proceedings of the 14th Conference on ACM Multimedia Systems (MMSys '23), 2023, Strona(/y) 384–390, ISBN 979-8-4007-0148-1
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Deep variational learning for multiple trajectory prediction of 360° head movements

Autorzy: Quentin Guimard, Lucile Sassatelli, Francesco Marchetti, Federico Becattini, Lorenzo Seidenari
Opublikowane w: Proceedings of the 13th ACM Multimedia Systems Conference (MMSys '22), 2022, Strona(/y) 2–26, ISBN 978-1-4503-9283-9
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Effects of Emotions on Head Motion Predictability in 360° Videos

Autorzy: Quentin Guimard, Lucile Sassatelli
Opublikowane w: Proceedings of the 14th International Workshop on Immersive Mixed and Virtual Environment Systems (MMVE '22), 2022, Strona(/y) 37–43, ISBN 978-1-4503-9382-9
Wydawca: Association for Computing Machinery
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Language Based Image Quality Assessment

Autorzy: Leonardo Galteri; Lorenzo Seidenari; Pietro Bongini; Marco Bertini; Alberto Del Bimbo
Opublikowane w: MMAsia '21: ACM Multimedia Asia, 2021, ISBN 978-1-4503-8607-4
Wydawca: Association for Computing Machinery
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Whitening for Self-Supervised Representation Learning

Autorzy: Alexandr Ermolov; Aliaksandr Siarohin; Enver Sangineto; Niculae Sebe
Opublikowane w: 38th International Conference on Machine Learning, PMLR, Numer 139, 2021, Strona(/y) 3015-3024
Wydawca: Proceedings of Machine Learning Research
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Exploring Deep Fusion Ensembling for Automatic Visual Interestingness Prediction

Autorzy: M.G. Constantin; L.D. Stefan; B. Ionescu
Opublikowane w: Human Perception of Visual Information Psychological and Computational Perspectives, 2022, Strona(/y) 33-58, ISBN 978-3-030-81465-6
Wydawca: Springer Nature Switzerland AG
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Explainable Video Summarization for Advancing Media Content Production

Autorzy: Evlampios Apostolidis, Georgios Balaouras, Ioannis Patras, Vasileios Mezaris
Opublikowane w: Encyclopedia of Information Science and Technology, Sixth Edition, 2025, ISBN 9781668473665
Wydawca: IGI Global
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Proceedings of the 2nd International Workshop on Learning to Quantify (LQ 2022)

Autorzy: Juan Jose del Coz, Pablo Gonzalez, Alejandro Moreo, Fabrizio Sebastiani
Opublikowane w: Proceedings of the 2nd International Workshop on Learning to Quantify (LQ 2022), 2022
Wydawca: LQ 2022
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Learning to Quantify

Autorzy: Andrea Esuli , Alessandro Fabris , Alejandro Moreo , Fabrizio Sebastiani
Opublikowane w: Learning to Quantify, 2023, ISBN 978-3-031-20466-1
Wydawca: Springer Cham
DOI: 10.1007/978-3-031-20467-8

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