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19th AIAI 2023: León, Spain
- Ilias Maglogiannis
, Lazaros S. Iliadis
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
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
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
Deep Learning Based Employee Attrition Prediction. 57-68 - Tessa Bauman
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
Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network. 90-101 - Chiara Contoli
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
Generating Synthetic Vehicle Speed Records Using LSTM. 125-136 - Yide Yu
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
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
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
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
Sentiment Analysis of Tweets on Online Education during COVID-19. 240-251
Biomedical - Image Analysis
- Geoffrey Holmes
Image Classification Using Class-Agnostic Object Detection. 255-266 - Nikos Tsolakis
Ince-PD Model for Parkinson's Disease Prediction Using MDS-UPDRS I & II and PDQ-8 Score. 267-278 - Athanasios Kallipolitis
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
Semi-supervised Brain Tumor Segmentation Using Diffusion Models. 314-325
Classification
- Marianne Abi Kanaan
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
Comparing Vectorization Techniques, Supervised and Unsupervised Classification Methods for Scientific Publication Categorization in the UNESCO Taxonomy. 356-368 - Suncica Rogic
Decoding Customer Behaviour: Relevance of Web and Purchasing Behaviourin Predictive Response Modeling. 369-380 - Anfel Amirat
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
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
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
Predicting Student Performance with Virtual Resources Interaction Data. 463-474 - Efthyvoulos Drousiotis
Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation. 475-487
CNN - Convolutional Neural Networks YOLO CNN
- Pradeep Moturi
3D Attention Based YOLO-SWINF for Real-Time Video Object Detection. 491-502 - Orlando José Céspedes, Sergio Cebollada
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
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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