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2nd DeLTA 2021
- Ana Fred, Carlo Sansone

, Kurosh Madani:
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, DeLTA 2021, Online Streaming, July 7-9, 2021. SCITEPRESS 2021, ISBN 978-989-758-526-5
Invited Speakers
- Matias Carrasco Kind:

More than Meets the Eye: Towards an Artificial Intelligence Observatory. DeLTA 2021: 5 - Barbara Caputo:

Towards Recognizing New Semantic Concepts in New Visual Domains. DeLTA 2021: 7 - Fabio Scotti:

Deep Learning for Biometric Systems: Applications and Trends. DeLTA 2021: 9 - Elisabeth André:

Leveraging Deep Learning for Mental Health Promotion. DeLTA 2021: 11
Papers
- Tobias Jacob

, Raffaele Galliera, Muddasar Ali, Sikha Bagui:
Marine Vessel Tracking using a Monocular Camera. 17-28 - Jaakko Tervonen

, Tuomas Sormunen, Arttu Lämsä
, Johannes Peltola, Heidi Kananen
, Sari Järvinen
:
Predicting Headline Effectiveness in Online News Media using Transfer Learning with BERT. 29-37 - Sebastian A. Scherer, Robin Schön

, Katja Ludwig, Rainer Lienhart
:
Unsupervised Domain Extension for Nighttime Semantic Segmentation in Urban Scenes. 38-47 - Yaguang Liu, Lisa Singh, Zeina Mneimneh:

A Comparative Analysis of Classic and Deep Learning Models for Inferring Gender and Age of Twitter Users. 48-58 - Stanley T. Yu, Gangming Zhao:

Attribute Relation Modeling for Pulmonary Nodule Malignancy Reasoning. 59-66 - Jannes Magnusson

, Ahmed J. Afifi
, Shengjia Zhang, Andreas Ley, Olaf Hellwich:
Synthesizing Fundus Photographies for Training Segmentation Networks. 67-78 - Kunal Banerjee, Vishak Prasad C., Rishi Raj Gupta, Kartik Vyas, Anushree H., Biswajit Mishra:

Exploring Alternatives to Softmax Function. 81-86 - Robert M. Bryce, Ryuichi Ueno, Christopher McDonald, Dragos Calitoiu:

Tailored Military Recruitment through Machine Learning Algorithms. 87-92 - Silvestre Malta

, Pedro Pinto
, Manuel Fernández-Veiga:
Using Syntactic Similarity to Shorten the Training Time of Deep Learning Models using Time Series Datasets: A Case Study. 93-100 - Athanasios G. Ouzounis, George K. Sidiropoulos

, George A. Papakostas, Ilias T. Sarafis, Andreas Stamkos, George Solakis:
Interpretable Deep Learning for Marble Tiles Sorting. 101-108 - Kassem Dia, Vanna Lisa Coli, Laure Blanc-Féraud, Juliette Leblond, Louise Gomart, Didier Binder:

Applications of Learning Methods to Imaging Issues in Archaeology, Regarding Ancient Ceramic Manufacturing. 109-116 - Guy Toko, Kagisho Losaba:

Improving Information Privacy and Security: Strengthening Digital Literacy in Organisations. 117-122 - Yassir Alharbi, Daniel Arribas-Bel

, Frans Coenen
:
Sustainable Development Goals Monitoring and Forecasting using Time Series Analysis. 123-131 - Silvan Mertes, Florian Lingenfelser, Thomas Kiderle, Michael Dietz, Lama Diab, Elisabeth André

:
Continuous Emotions: Exploring Label Interpolation in Conditional Generative Adversarial Networks for Face Generation. 132-139 - Ondrej Lukás

, Sebastián García
:
Deep Generative Models to Extend Active Directory Graphs with Honeypot Users. 140-147 - Lars Klöser, Philipp Kohl

, Bodo Kraft
, Albert Zündorf:
Multi-Attribute Relation Extraction (MARE): Simplifying the Application of Relation Extraction. 148-156 - Tao Mi, Tao Du, Shouning Qu:

A Grid-based Fuzzy C-means Clustering Algorithm with Unknown Number of Clusters. DeLTA 2021: 157-163 - Constantin Rieder, Markus Germann, Samuel Mezger, Klaus-Peter Scherer:

Approaches towards Resource-saving and Explainability/Transparency of Deep-learning-based Image Classification in Industrial Applications. 164-169 - Yulong Wang, Jingwang Tang, Zhe Jia:

TC-CNN: Trajectory Compression based on Convolutional Neural Network. 170-176 - Yulong Wang, Xiaohui Hu, Zhe Jia:

Filtered Weighted Correction Training Method for Data with Noise Label. 177-184 - Yan-Yu Lin, Chia Ching Yu, Chuen Horng Lin:

Automatically Segmentation the Car Parts and Generate a Large Car Texture Images. 185-190 - Mehedi Hasan Talukder

, Shuhei Ota, Masato Takanokura, Nobuaki Ishii:
Sub-dataset Generation and Matching for Crack Detection on Brick Walls using Convolutional Neural Networks. 191-197

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