dblp: EANN 2021 (original) (raw)

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22nd EANN 2021: Crete, Greece

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  • Adversarial Neural Networks - Classification
  • Anomaly Detection
  • Classification - Medical Applications
  • Deep Learning - Convolutional Neural Networks Modeling
  • Face Recognition- Deep Learning - Machine Vision
  • Fuzzy Logic Modleing
  • Intelligent Search - Smart Energy Grids
  • Learning - Blockchain
  • Machine Learning - Classification -Simulation
  • Recommendation systems
  • Sentiment Analysis - Natural Language -Financial Domain

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• > Home > Conferences and Workshops > EANN

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    Lazaros Iliadis, John MacIntyre, Chrisina Jayne, Elias Pimenidis:
    Proceedings of the 22nd Engineering Applications of Neural Networks Conference - EANN 2021, Crete, Greece, 25-27 June, 2021. Springer 2021, ISBN 978-3-030-80567-8

Adversarial Neural Networks - Classification

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    Grina Wiem, Douik Ali:
    Automatic Facial Expression Neutralisation Using Generative Adversarial Network. 3-12
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    Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu:
    Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. 13-23

Anomaly Detection

Classification - Medical Applications

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    Nitsa J. Herzog, George D. Magoulas:
    Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia. 57-70
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    Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas:
    Deep Learning Topology-Preserving EEG-Based Images for Autism Detection in Infants. 71-82
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    George Apostolopoulos, Athanasios Koutras, Dionysios Anyfantis, Ioanna Christoyianni, Evangelos Dermatas:
    Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors. 83-94
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    Olympia Giannou, Anastasios D. Giannou, Dimitra E. Zazara, Dörte Kleinschmidt, Tobias Mummert, Björn Ole Stüben, Michael Gerhard Kaul, Gerhard Adam, Samuel Huber, Georgios Pavlidis:
    Liver Cancer Trait Detection and Classification Through Machine Learning on Smart Mobile Devices. 95-108
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    Fayrouz Allam:
    Using WOA with Feed Forward Neural Network in Prediction of Subcutaneous Glucose Concentration for Type-1 Diabetic Patients. 109-118

Deep Learning - Convolutional Neural Networks Modeling

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    Sofia Stylianou-Nikolaidou, Ioannis Vernikos, Eirini Mathe, Evaggelos Spyrou, Phivos Mylonas:
    A Novel CNN-LSTM Hybrid Architecture for the Recognition of Human Activities. 121-132
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    Dror Lederman:
    An Artificial Intelligence System for Endotracheal Intubation Confirmation. 133-140
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    Hugues Moreau, Andrea Vassilev, Liming Chen:
    Data Fusion for Deep Learning on Transport Mode Detection: A Case Study. 141-152
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    Essa Q. Shahra, Wenyan Wu, Shadi Basurra, Stamatia Rizou:
    Deep Learning for Water Quality Classification in Water Distribution Networks. 153-164
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    Yiannis N. Kontos, Theodosios Kassandros, Konstantinos L. Katsifarakis, Kostas D. Karatzas:
    Deep Learning Modeling of Groundwater Pollution Sources. 165-177
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    Mahdi Abid, Grégoire Lefebvre:
    Deep Neural Networks for Indoor Geomagnetic Field Fingerprinting with Regression Approach. 178-189
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    Davide Rutigliano, Giacomo Boracchi, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti:
    Event-Detection Deep Neural Network for OTDR Trace Analysis. 190-201
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    A. Caduff, Klaus Zahn, J. Hofstetter, M. Rechsteiner, P. Bucher:
    Exploring the Limits of Vanilla CNN Architectures for Fine-Grained Vision-Based Vehicle Classification. 202-212
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    Kazuhiko Takahashi, Reo Yokono, Chang Chu, Gauvain Huve, Masafumi Hashimoto:
    fNIRS-Based BCI Using Deep Neural Network with an Application to Deduce the Driving Mode Based on the Driver's Mental State. 213-219
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    Craig Pirie, Carlos Francisco Moreno-García:
    Image Pre-processing and Segmentation for Real-Time Subsea Corrosion Inspection. 220-231
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    Binyi Wu, Bernd Waschneck, Christian Mayr:
    Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks. 232-243
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    Cosimo Ieracitano, Nadia Mammone, Annunziata Paviglianiti, Francesco Carlo Morabito:
    Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches. 244-255

Face Recognition- Deep Learning - Machine Vision

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    Christina Tzogka, Ioannis Refanidis:
    Addressing Computer Vision Challenges Using an Active Learning Framework. 259-270
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    Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis:
    Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. 271-283
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    Adamu Ali-Gombe, Eyad Elyan, Carlos Francisco Moreno-García, Johan Zwiegelaar:
    Face Detection with YOLO on Edge. 284-292
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    Faseela Abdullakutty, Eyad Elyan, Pamela Johnston:
    Face Spoof Detection: An Experimental Framework. 293-304

Fuzzy Logic Modleing

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    Asif Nawaz, Hassan B. Kazemian:
    A Fuzzy Approach to Identity Resolution. 307-318
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    Mario Malcangi:
    Early Prediction of COVID-19 Onset by Fuzzy-Neuro Inference. 319-328

Intelligent Search - Smart Energy Grids

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    Theofanis I. Aravanis, Andreas Petratos, Georgia Douklia, Efpraxia Plati:
    Search Problems in Contemporary Power Girds. 331-342

Learning - Blockchain

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    Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Nikolaos Tziritas, Maria G. Koziri, Panagiotis Kikiras:
    Blockchained Adaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0. 345-363
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    Spyridon Nikolaidis, Ioannis Refanidis:
    Incentivizing Participation to Distributed Neural Network Training. 364-374

Machine Learning - Classification -Simulation

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    Fernando H. Oliveira Duarte, Levi Welington de Resende Filho, Héctor Azpúrua, André Almeida Santos, Jefferson R. Souza, Gustavo Pessin, Rosa Elvira Correa Pabon:
    Contaminated Soil Detection: A Proposal Using Machine Learning and Hyperspectral Imaging. 377-388
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    Marzieh Zare, Jussi-Pekka Lehtinen, Hesam Jafarian, Ari Visa, Liisa Aha:
    Drilling Operations Classification Utilizing Data Fusion and Machine Learning Techniques. 389-398
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    Angelos Angelopoulos, Anastasios E. Giannopoulos, Nikolaos C. Kapsalis, Sotirios T. Spantideas, Lambros Sarakis, Stamatis Voliotis, Panagiotis Trakadas:
    Impact of Classifiers to Drift Detection Method: A Comparison. 399-410
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    Joshua Ramayrat, Teng-Sheng Moh:
    Inverse Kinematics via a Network Ensemble and Learning Method. 411-422
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    Arijit Nandi, Fatos Xhafa, Laia Subirats, Santi Fort:
    Real-Time Multimodal Emotion Classification System in E-Learning Context. 423-435
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    Leon Bobrowski, Tomasz Lukaszuk:
    Repeatable Functionalities in Complex Layers of Formal Neurons. 436-447
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    Simon Roysson, Taufik Akbar Sitompul, Rikard Lindell:
    Using Artificial Neural Network to Provide Realistic Lifting Capacity in the Mobile Crane Simulation. 448-462

Recommendation systems

Sentiment Analysis - Natural Language -Financial Domain

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    Ziyuan Ma, Conor Ryan, Jim Buckley, Muslim Chochlov:
    Do Weibo Platform Experts Perform Better at Predicting Stock Market? 491-502
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    Jiaying Gong, Bradley Paye, Gregory Kadlec, Hoda Eldardiry:
    Predicting Stock Price Movement Using Financial News Sentiment. 503-517

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