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ORCID19th AIAI 2023: León, Spain
- Ilias Maglogiannis
, Lazaros S. Iliadis, John MacIntyre, Manuel Domínguez:
Artificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14-17, 2023, Proceedings, Part I. IFIP Advances in Information and Communication Technology 675, Springer 2023, ISBN 978-3-031-34110-6
Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial)
- Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis P. Pintelas:
A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves. 3-14 - Georgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas:
A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. 15-23 - Hasna Haifa Zahrah, Jimmy Tirtawangsa:
Algorithmic Forex Trading Using Q-learning. 24-35 - Shamal Lalvani, Aggelos K. Katsaggelos:
Control of a Water Tank System with Value Function Approximation. 36-44 - Thamilselvam B, Subrahmanyam Kalyanasundaram, M. V. Panduranga Rao:
Decentralized Multi Agent Deep Reinforcement Q-Learning for Intelligent Traffic Controller. 45-56 - Kerem Gurler, Burcu Kuleli Pak, Vehbi Cagri Gungor:
Deep Learning Based Employee Attrition Prediction. 57-68 - Tessa Bauman, Bruno Gasperov, Stjepan Begusic, Zvonko Kostanjcar:
Deep Reinforcement Learning for Robust Goal-Based Wealth Management. 69-80 - Sander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen:
DeNISE: Deep Networks for Improved Segmentation Edges. 81-89 - Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis Fernando Lago-Fernández:
Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network. 90-101 - Chiara Contoli, Emanuele Lattanzi:
Energy Efficiency of Deep Learning Compression Techniques in Wearable Human Activity Recognition. 102-113 - Zsolt Szántó, Balázs Bánáti, Tamás Zombori:
Enhancing Medication Event Classification with Syntax Parsing and Adversarial Learning. 114-124 - Jirí Vraný, Michal Krepelka, Matej Chumlen:
Generating Synthetic Vehicle Speed Records Using LSTM. 125-136 - Yide Yu, Yan Ma, Yue Liu, Dennis Wong, Kin Lei, José Vicente Egas López:
Measuring the State-Observation-Gap in POMDPs: An Exploration of Observation Confidence and Weighting Algorithms. 137-148 - Asei Akanuma, Daniel Stamate, J. Mark Bishop:
Predicting Colour Reflectance with Gradient Boosting and Deep Learning. 149-160 - Christian Oliva, Luis Fernando Lago-Fernández:
The Importance of the Current Input in Sequence Modeling. 161-172 - Ladislav Lenc, Josef Baloun, Jirí Martínek, Pavel Král:
Towards Historical Map Analysis Using Deep Learning Techniques. 173-185
Agents/Case Based Reasoning/Sentiment Analysis
- Büsra Kocaçinar, Nasibullah Qarizada, Cihan Dikkaya, Emirhan Azgun, Elif Yildirim, Fatma Patlar Akbulut:
Analysis of the Lingering Effects of Covid-19 on Distance Education. 189-200 - Fateh Boulmaiz, Patrick Reignier, Stéphane Ploix:
Exploring the Power of Failed Experiences in Case-Based Reasoning for Improved Decision Making. 201-213 - Stylianos Filippou, Andreas Tsiartas, Petros Hadjineophytou, Spyros Christofides, Kleanthis Malialis, Christos G. Panayiotou:
Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing. 214-224 - Fateh Boulmaiz, Patrick Reignier, Stéphane Ploix:
Mind the Gap: Addressing Incompleteness Challenge in Case-Based Reasoning Applications. 225-239 - Elif Yildirim, Harun Yazgan, Onur Özbek, Ahmet Can Günay, Büsra Kocaçinar, Öznur Sengel, Fatma Patlar Akbulut:
Sentiment Analysis of Tweets on Online Education during COVID-19. 240-251
Biomedical - Image Analysis
- Geoffrey Holmes, Eibe Frank, Dale Fletcher:
Image Classification Using Class-Agnostic Object Detection. 255-266 - Nikos Tsolakis, Christoniki Maga-Nteve, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris:
Ince-PD Model for Parkinson's Disease Prediction Using MDS-UPDRS I & II and PDQ-8 Score. 267-278 - Athanasios Kallipolitis, Parisis Gallos, Andreas Menychtas, Panayiotis Tsanakas, Ilias Maglogiannis:
Medical Knowledge Extraction from Graph-Based Modeling of Electronic Health Records. 279-290 - Chun-Cheng Peng, Guan-Wei Lin, Jian-Min Lin, Guan-Ting Chen, Wei-Chen Liu:
Predicting ALzheimer's Disease with AI and Brain Imaging Data. 291-301 - Pakpoom Singkorapoom, Suronapee Phoomvuthisarn:
Pre-trained Model Robustness Against GAN-Based Poisoning Attack in Medical Imaging Analysis. 302-313 - Ahmed Alshenoudy, Bertram Sabrowsky-Hirsch, Stefan Thumfart, Michael Giretzlehner, Erich Kobler:
Semi-supervised Brain Tumor Segmentation Using Diffusion Models. 314-325
Classification
- Marianne Abi Kanaan, Jean-François Couchot, Christophe Guyeux, David Laiymani, Talar Atéchian, Rony Darazi:
A Methodology for Emergency Calls Severity Prediction: From Pre-processing to BERT-Based Classifiers. 329-342 - Saumya Kumar Dewangan, Shrutilipi Bhattacharjee, Ramya D. Shetty:
A Temporal Metric-Based Efficient Approach to Predict Citation Counts of Scientists. 343-355 - Neil Villamizar, Jesús Wahrman, Minaya Villasana:
Comparing Vectorization Techniques, Supervised and Unsupervised Classification Methods for Scientific Publication Categorization in the UNESCO Taxonomy. 356-368 - Suncica Rogic, Ljiljana Kascelan:
Decoding Customer Behaviour: Relevance of Web and Purchasing Behaviourin Predictive Response Modeling. 369-380 - Anfel Amirat, Nadia Baha, Lamine Benrais:
Exploring Pairwise Spatial Relationships for Actions Recognition and Scene Graph Generation. 381-392 - Vasiliki Chouliara, Paraskevas Koukaras, Christos Tjortjis:
Fake News Detection Utilizing Textual Cues. 393-403 - Lee B. Hinkle, Gentry Atkinson, Vangelis Metsis:
Fusion of Learned Representations for Multimodal Sensor Data Classification. 404-415 - Georgios Alexakis, Michail Maniadakis:
Hyperspectral Classification of Recyclable Plastics in Industrial Setups. 416-428 - Or Elroy, Dmitry Erokhin, Nadejda Komendantova, Abraham Yosipof:
Mining the Discussion of Monkeypox Misinformation on Twitter Using RoBERTa. 429-438 - Zaman Wahid, Abdullah Al Imran:
Multi-feature Transformer for Multiclass Cyberbullying Detection in Bangla. 439-451 - Mariam M. Biltawi, Raneem Qaddoura, Hossam Faris:
Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification. 452-462 - Alex Martínez-Martínez, Raúl Montoliu, Jesús Aguiló Salinas, Inmaculada Remolar:
Predicting Student Performance with Virtual Resources Interaction Data. 463-474 - Efthyvoulos Drousiotis, Dan W. Joyce, Robert C. Dempsey, Alina Haines, Paul G. Spirakis, Lei Shi, Simon Maskell:
Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation. 475-487
CNN - Convolutional Neural Networks YOLO CNN
- Pradeep Moturi, Mukund Khanna, Kunal Singh:
3D Attention Based YOLO-SWINF for Real-Time Video Object Detection. 491-502 - Orlando José Céspedes, Sergio Cebollada, Juan José Cabrera, Óscar Reinoso, Luis Payá:
Analysis of Data Augmentation Techniques for Mobile Robots Localization by Means of Convolutional Neural Networks. 503-514 - Ban Al-Omar, Zouheir Trabelsi:
Intrusion Detection Using Attention-Based CNN-LSTM Model. 515-526 - Yasmine Abu Adla, Mazen A. R. Saghir, Mariette Awad:
Real-Time Arabic Digit Spotting with TinyML-Optimized CNNs on Edge Devices. 527-538 - Chun-Cheng Peng, Chu-Yun Kou:
Sleep Disorder Classification Using Convolutional Neural Networks. 539-548 - Eleftheria Vorgiazidou, Konstantinos Delibasis, Ilias Maglogiannis:
The Effect of Tensor Rank on CNN's Performance. 549-560 - C. B. Dev Narayan, Fayaz Rahman, Mohib Ullah, Faouzi Alaya Cheikh, Ali Shariq Imran, Christopher Coello, Øyvind Nordbø, G. Santhosh Kumar, Madhu S. Nair:
Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking. 561-572
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