Home - Artificial Intelligence Applications and Innovations

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

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Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial)

Agents/Case Based Reasoning/Sentiment Analysis

Biomedical - Image Analysis

Classification

CNN - Convolutional Neural Networks YOLO CNN

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