Abstract is missing.
- Deep Learning Deep Feelings: Large Models, Larger EmotionsBjörn W. Schuller. 5
- From Satellites to Social Media: What Data Tells us About SocietyIngmar Weber. 7
- A Multi-Scale Feature Fusion Network for Detecting and Classifying Apple Leaf DiseasesAssad Souleyman Doutoum, Recep Eryigit, Bulent Tugrul. 13-20 [doi]
- 3D Convolutional Neural Network to Predict the Energy Consumption of Milling ProcessesChristoph Wald, Thomas Jung, Frank Schirmeier. 21-30 [doi]
- Domain Adaption of a Heterogeneous Textual Dataset for Semantic Similarity ClusteringErik Nikulski, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner. 31-42 [doi]
- CCR-Logistic Based Variable Importance Visualization: Differentiating Prime and Suppressor Variables in Logit ModelsAna Perisic 0004, Ivan Sever. 43-52 [doi]
- Development the Novel FCF-SIWEC-RBNAR Hybrid Method for Financial Performance EvaluationHamide Özyürek, Galip Cihan Yalçin, Karahan Kara. 53-63 [doi]
- 4, 500 Seconds: Small Data Training Approaches for Deep UAV Audio ClassificationAndrew P. Berg, Qian Zhang, Mia Y. Wang. 64-71 [doi]
- Data Quality Threat Mitigation Strategies for Multi-Sourced Linked DataAli Obaidi, Adrienne Chen-Young. 72-81 [doi]
- Robots Performance Monitoring in Autonomous Manufacturing Operations Using Machine Learning and Big DataAhmed Bendaouia, Salma Messaoudi, El Hassan Abdelwahed, Jianzhi Li. 82-96 [doi]
- Enhancing Biosecurity in Tamper-Resistant Large Language Models with Quantum Gradient DescentFahmida Hai, Saif Nirzhor, Rubayat Khan, Don Roosan. 97-107 [doi]
- An Approach for the Automatic Detection of Prejudice in Instant Messaging ApplicationsMelissa Sousa, Fernanda Nascimento, Gustavo Martins, José Maria Monteiro, Javam C. Machado. 108-119 [doi]
- Predictors of Freshmen Attrition: A Case Study of Bayesian Methods and Probabilistic ProgrammingEitel J. M. Lauría. 120-131 [doi]
- A Big Data Analytics System for Predicting Suicidal Ideation in Real-Time Based on Social Media Streaming DataMohamed A. Allayla, Serkan Ayvaz. 132-143 [doi]
- A Comparative Study of ML Approaches for Detecting AI-Generated EssaysMihai Nechita, Madalina Raschip. 144-155 [doi]
- Assessing Registration and Screening Technologies for Efficient Mass Vaccination and Public Health MonitoringEva K. Lee, Kevin Yifan Liu. 156-170 [doi]
- An Extreme Gradient Boosting (XGBoost) Trees Approach to Detect and Identify Unlawful Insider Trading (UIT) TransactionsKrishna Neupane, Igor Griva. 171-181 [doi]
- TACO: A Lightweight Tree-Based Approximate Compression Method for Time SeriesAndré Bauer 0001. 182-190 [doi]
- Integrated Sentiment and Emotion Analysis of the Ukraine-Russia Conflict Using Machine Learning and Transformer ModelsMohammad Hossein Amirhosseini, Nabeela Berardinelli, Kunal Gaikwad, Christian Eze Iwuchukwu, Mahmud Ahmed. 191-202 [doi]
- From What-If Scenarios to Event Associations: A Novel Approach to Social Media Event AnalysisAigerim Mussina, Sanzhar Aubakirov, Paulo Trigo, Madina Mansurova. 203-212 [doi]
- Optimized and Explainable Feature Selection for Soil Moisture Prediction Across SitesBamory Ahmed Toru Koné, Rima Grati, Bassem Bouaziz, Khouloud Boukadi, Massimo Mecella. 213-222 [doi]
- Scalable Traffic Flow Estimation on Sensorless Roads Using LSTM and Floating Car DataThamires de Souza Oliveira, David Pagano, Salvatore Cavalieri, Vincenza Torrisi, Giovanni Calabró. 223-233 [doi]
- Leveraging Liquid Time-Constant Neural Networks for ECG Classification: A Focus on Pre-Processing TechniquesLisa-Maria Beneke, Michell Boerger, Philipp Lämmel, Helene Knof, Andrei Aleksandrov, Nikolay Tcholtchev. 234-245 [doi]
- PPMI-Benchmark: A Dual Evaluation Framework for Imputation and Synthetic Data Generation in Longitudinal Parkinson's Disease ResearchMoad Hani, Nacim Betrouni, Saïd Mahmoudi, Mohammed Benjelloun. 246-259 [doi]
- Fair Client Selection in Federated Learning: Enhancing Fairness in Collaborative AI SystemsRanim Bouzamoucha, Farah Barika Ktata, Sami Zhioua. 263-273 [doi]
- Neuro-Symbolic Methods in Natural Language Processing: A ReviewMst. Shapna Akter, Md. Fahim Sultan, Alfredo Cuzzocrea. 274-282 [doi]
- Classifying Hotspots Mutations for Biosimulation with Quantum Neural Networks and Variational Quantum EigensolverDon Roosan, Rubayat Khan, Saif Nirzhor, Tiffany Khou, Fahmida Hai. 283-290 [doi]
- Harnessing Diet and Gene Expression Insights Through a Centralized Nutrigenomics Database to Improve Public HealthShriya Samudrala, Ijeoma Ezengwa, Fahmida Hai, Rubayat Khan, Saif Nirzhor, Don Roosan. 291-298 [doi]
- Exploring LLM Capabilities in Extracting DCAT-Compatible Metadata for Data CatalogingLennart Busch, Daniel Tebernum, Gissel Velarde. 299-309 [doi]
- Explainable Assessment Model for Digital Transformation MaturityJihen Hlel, Nesrine Ben Yahia, Narjès Bellamine-Ben Saoud. 310-317 [doi]
- Towards Interoperable Data Spaces: Comparative Analysis of Data Space Implementations Between Japan and EuropeShun Ishihara, Taka Matsutsuka. 318-328 [doi]
- Data Quality Scoring: A Conceptual Model and Prototypical ImplementationMario Köbis-Riedel, Marcel Altendeitering, Christian Beecks. 329-338 [doi]
- Enhancing Trust in Inter-Organisational Data Sharing: Levels of Assurance for Data TrustworthinessFlorian Zimmer, Janosch Haber, Mayuko Kaneko. 339-346 [doi]
- Proximal Policy Optimization with Graph Neural Networks for Optimal Power FlowÁngela López-Cardona, Guillermo Bernárdez, Pere Barlet-Ros, Albert Cabellos-Aparicio. 347-354 [doi]
- Quantifying the Effects of Image Degradation on LVLM Benchmark Results SystematicallyRupert Urbanski, Ralf Peters. 355-362 [doi]
- Arbitrary Shaped Clustering Validation on the Test BenchGeorg Stefan Schlake, Christian Beecks. 363-373 [doi]
- Visual Methods for Network Analytics of Echo Chamber: A Case Study of Thailand's General Election 2023Isariyaporn Sukcharoenchaikul, Puripant Ruchikachorn. 374-381 [doi]
- Innovative Sentence Classification in Scientific Literature: A Two-Phase Approach with Time Mixing Attention and Mixture of ExpertsMeng Wang, Mengting Zhang, Hanyu Li, Jing Xie, Zhixiong Zhang, Yang Li, Gaihong Yu. 382-389 [doi]
- Comparison of Tree-Based Learning Methods for Fraud Detection in Motor InsuranceDavid Suda, Mark Anthony Caruana, Lorin Grima. 390-397 [doi]
- Data Breaches: What Happened over the Last 20 Years?Faheem Ullah, Liwei Wang, Uswa Fatima, Muhammad Imran Taj. 398-406 [doi]
- PreXP: Enhancing Trust in Data Preprocessing Through ExplainabilitySandra Samuel, Nada Sharaf. 407-414 [doi]
- Expanding the Singular Channel - MODALINK: A Generalized Automated Multimodal Dataset Generation Workflow for Emotion RecognitionAmany H. Abou El-Naga, May Hussien, Wolfgang Minker, Mohammed A.-M. Salem, Nada Sharaf. 415-422 [doi]
- Framework for Data-Driven Spirulina Cultivation and RecommendationsAakaash Kurunth, Adithya S. Gurikar, B. Tejas, Sean Sougaijam, L. Kamatchi Priya. 423-430
- Improved Alzheimer's Detection from Brain MRI via Transfer Learning on Pre-Trained Convolutional Deep ModelsMalek Jallali, Raouia Mokni, Boudour Ammar. 431-438 [doi]
- A Decision Framework for AI/MLOps Toolchain Selection in ManufacturingMartin Bischof, Florian Wahl. 439-446 [doi]
- DataPulse: An Interactive Dashboard for Statistical and Exploratory Analysis of Multimodal Healthcare Data in ShinyAdam Urban, James Connolly, Gauri Vaidya, Krishn Kumar Gupt, Meghana Kshirsagar 0002. 447-454 [doi]
- Brain Tumor Classification with Hybrid Deep Learning Models from MRI ImagesDhouha Boubdellaha, Raouia Mokni, Boudour Ammar. 455-464 [doi]
- Quantum Gradient Optimized Drug Repurposing Prototype for Omics DataDon Roosan, Saif Nirzhor, Rubayat Khan, Fahmida Hai. 465-472 [doi]
- Quantum Approximate Optimization Algorithm for Spatiotemporal Forecasting of HIV ClustersDon Roosan, Saif Nirzhor, Rubayat Khan, Fahmida Hai, Mohammad Rifat Haidar. 473-480 [doi]
- ClustSize: An Algorithmic Framework for Size-Constrained ClusteringDiego Vallejo-Huanga, Cèsar Ferri, Fernando Martínez-Plumed. 481-490 [doi]
- Bridging Competency Gaps in Data Science: Evaluating the Role of Automation Frameworks Across the DASC-PM LifecycleMaike Holtkemper, Christian Beecks. 491-499 [doi]
- Driving Innovation in Fleet Management: An Integrated Data-Driven Framework for Operational Excellence and SustainabilitySuryakant Kaushik. 500-507 [doi]
- Evaluating Large Language Models for Literature Screening: A Systematic Review of Sensitivity and Workload ReductionElias Sandner, Luca Fontana, Kavita Kothari, Andre Henriques, Igor Jakovljevic, Alice Simniceanu, Andreas Wagner, Christian Gütl. 508-517 [doi]
- Cypher by Example: A Visual Query Language for Graph DatabasesKornelije Rabuzin, Maja Cerjan, Martina Sestak. 518-525 [doi]
- Facilitating Data Usage Control Through IPv6 Extension HeadersHaydar Qarawlus, Malte Hellmeier, Falk Howar. 526-535 [doi]
- Data Storytelling in Learning Analytics: AI-Driven Competence AssessmentAinhoa Álvarez, Aitor Renobales-Irusta, Mikel Villamañe. 536-543 [doi]
- Utilizing Generative Adversarial Networks for Preserving Privacy in Developing Machine Learning Models for the Healthcare IndustryShahnawaz Khan, Bharavi Mishra, Sultan Alamri, Philippe Pringuet. 544-551 [doi]
- Selecting a Data Warehouse Provider: A Daunting TaskJoão Ferreira, Nuno Lourenço 0002, João R. Campos. 552-559 [doi]
- Towards Consistent Policy Enforcement in DataspacesJulia Pampus, Maritta Heisel. 560-566 [doi]
- Prevalence of Security Vulnerabilities in C++ ProjectsThiago Gadelha, Wallisson Freitas, Eduardo Rodrigues 0003, José Maria Monteiro, Javam C. Machado. 567-574 [doi]
- Towards a KD4LA Framework to Support Learning Analytics in Higher EducationThi My Hang Vu. 575-582 [doi]
- Model Card Metadata Collection from Hugging Face to Foster Multidisciplinary AI Research: A DatasetMuhammad Asif Suryani, Saurav Karmakar, Brigitte Mathiak, Philipp Mayr 0001. 583-590 [doi]
- Detecting AI-Generated Reviews for Corporate Reputation ManagementRob E. Loke, M. GC. 591-602 [doi]
- IDAT: An Interactive Data Exploration ToolNir Regev, Asaf Shabtai, Lior Rokach. 603-613 [doi]
- Data Visualization Framework for Identifying Optimal Locations for Links in the Index Page of a WebsiteHaider A. Ramadhan. 614-618
- Exploring Camouflaged Object Detection Techniques for Invasive Vegetation MonitoringHenry O. Velesaca, Hector Villegas, Ángel D. Sappa. 619-626 [doi]
- A BERT-Based Model for Detecting Depression in Diabetes-Related Social Media PostsRdouan Faizi, Bouchaib Bounabat, Mahmoud El Hamlaoui. 627-632 [doi]
- Anomaly Detection in IoT Networks: A Performance Comparison of Transformer, 1D-CNN, and GrowNet Models on the Bot-IoT DatasetAurelia Kusumastuti, Denis Rangelov, Philipp Lämmel, Michell Boerger, Andrei Aleksandrov, Nikolay Tcholtchev. 633-643 [doi]
- Toward a Public Dataset of Wide-Field Astronomical Images Captured with SmartphonesOlivier Parisot, Diogo Ramalho Fernandes. 644-650 [doi]
- A Review on the Use of Large Language Models in the Context of Open Government DataDaniel Staegemann, Christian Haertel, Matthias Pohl, Klaus Turowski. 651-660 [doi]
- An Advanced Entity Resolution in Data Lakes: First StepsLamisse F. Bouabdelli, Fatma Abdelhedi, Slimane Hammoudi, Allel HadjAli. 661-668 [doi]
- Effect of Data Visualization on Users' Running Performance on TreadmillThanaphon Amattayakul, Puripant Ruchikachorn. 669-676 [doi]
- Data-Driven Prediction of High-Risk Situations for Cyclists Through Spatiotemporal Patterns and Environmental ConditionsSarah Di Grande, Mariaelena Berlotti, Salvatore Cavalieri, Daniel G. Costa. 677-684 [doi]
- Detecting Misinformation Virality on WhatsAppFernanda Nascimento, Melissa Sousa, Gustavo Martins, José Maria Monteiro, Javam C. Machado. 685-692 [doi]
- Next-Event Prediction in Cybercrime Complaint Narratives Using Temporal Event Scene GraphsMohammad Saad Rafeeq, Narendra Bijarniya, Chandramani Chaudhary. 693-700 [doi]
- AI-Ready Open Data EcosystemWenwey Hseush, Shou-Chung Wang, Yong-Yueh Lee, Anthony Ma. 701-708 [doi]
- Evaluation of LLM-Based Strategies for the Extraction of Food Product Information from Online ShopsChristoph Brosch, Sian Brumm, Rolf Krieger, Jonas Scheffler. 709-715 [doi]
- Bitcoin Fraud Detection: A Study with Dimensionality Reduction and Machine Learning TechniquesNuno Gomes, Artur J. Ferreira. 716-723 [doi]
- Process Chain for Artificial Intelligence-Based Demand Forecasting and Procurement SchedulingMaximilian Hohn, Philipp Maximilian Sieberg. 724-731 [doi]
- Democratizing the Access to Geospatial Data: The Performance Bottleneck of Unified Data InterfacesMatthias Pohl, Arne Osterthun, Joshua Reibert, Dennis Gehrmann, Christian Haertel, Daniel Staegemann, Klaus Turowski. 732-738 [doi]
- Prediction of Daily Sales of Individual Products in a Medium-Sized Brazilian Supermarket Using Recurrent Neural Networks ModelsJociano Perin, Lucas Dias Hiera Sampaio, Marlon Marcon, André Roberto Ortoncelli. 739-747 [doi]
- A Microservice-Based Architecture for Real-Time Credit Card Fraud Detection with ObservabilityRobson S. Santos, Robesvânia Araújo, Paulo A. L. Rego, José M. da S. M. Filho, Jarélio G. da S. Filho, José D. C. Neto, Nicksson C. A. Freitas, Emanuel Rodrigues, Francisco A. A. Gomes, Fernando A. M. Trinta. 748-755 [doi]
- A Nested Structure of Anomalies in Academic Publication CitationsRenata Avros, Gal Farfel, Zeev Volkovich. 761-768 [doi]
- Citation Steadiness Analysis with GraphSAGE ApproachRenata Avros, Dvora Toledano-Kitai, Zeev Volkovich. 769-777 [doi]
- Appraisal of Citation Reliability Using a Gan-Based ApproachDvora Toledano-Kitai, Renata Avros, Ilya Lev, Biran Fridman, Zeev Volkovich. 778-785 [doi]
- Process Mining and Machine Learning for Predicting Clinical Outcomes in Emergency Care: A Study on the MIMICEL DatasetAntonella Madau, Gianfranco Semeraro. 791-799 [doi]
- AMAKAN: Fully Interpretable Adaptive Multiscale Attention Through Kolmogorov-Arnold NetworksFelice Franchini, Stefano Galantucci. 800-808 [doi]
- Explainable AI Approach for Cardiac Involvement Detection in Anderson-Fabry DiseaseChiara Verdone, Matteo Gravina, Grazia Casavecchia, Rodolfo Belfiore, Benedetta Di Millo. 811-818 [doi]