Table of Contents

• PICA: A Data-Driven Synthesis of Peer Instruction and Continuous AssessmentSteve Geinitz. 3-17 [doi]
• The ChatGPT and Education Tweets DatasetSimone Barandoni, Filippo Chiarello, Vito Giordano, Gualtiero Fantoni. 18-32 [doi]
• A Fair Post-processing Method Based on the MADD Metric for Predictive Student ModelsMélina Verger, Chunyang Fan, Sébastien Lallé, François Bouchet, Vanda Luengo. 33-47 [doi]
• Distractor Generation for Multiple-Choice Questions with Predictive Prompting and Large Language ModelsSemere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester. 48-63 [doi]
• Towards Personalized Educational Materials: Mapping Student Knowledge Through Natural Language ProcessingDiana Domenichini, Vito Giordano, Gualtiero Fantoni, Filippo Chiarello. 64-79 [doi]
• A 2-Step Methodology for XAI in EducationFrancesco Balzan, Andrea Zanellati, Stefano Pio Zingaro, Maurizio Gabbrielli. 80-86 [doi]
• Consolidation and Transmission of Multiple xAPI Data Sources from Virtual Learning Environments to Different Learning Record StoresRamona Srbecky, Udo Koeferl, Simon-Alexander Wetzel, Michael Winterhagen, Wieland Fraas, Jan Dettmers, Matthias L. Hemmje. 87-102 [doi]
• Efficient and General Text Classification: An Active Learning Approach Using Active Learning and NLP to Aid Processes Such as Journalistic Investigations And document AnalysisMicha van Grinsven, Matthieu J. S. Brinkhuis, Georg Krempl, Joop Snijder. 105-120 [doi]
• Identifying Features of Constructive Journalism in News Articles: An Explainable ML ApproachDaniel Emami Riis, Esben Drachmann Rasmussen, Panagiotis Tampakis. 121-136 [doi]
• Anomaly Detection in Pet Behavioural DataInês Oliveira e Silva, Rita P. Ribeiro, João Gama 0001. 137-153 [doi]
• Detecting Sexually Explicit Content in the Context of the Child Sexual Abuse Materials (CSAM): End-to-End Classifiers and Region-Based NetworksWeronika Gutfeter, Joanna Gajewska, Andrzej Pacut. 154-168 [doi]
• PrivateCTGAN: Adapting GAN for Privacy-Aware Tabular Data SharingFrederico Lopes, Carlos Soares, Paulo Cortez 0001. 169-180 [doi]
• Data Science for Fighting Environmental CrimeMarta Barbosa, Carolina Ribeiro, Filipe Gomes, Rita P. Ribeiro, João Gama 0001. 181-196 [doi]
• Fairness Analysis in Causal Models: An Application to Public ProcurementSónia Teixeira, Ana Rita Nogueira, João Gama 0001. 197-211 [doi]
• Exploring the Generalizability of Transfer Learning for Camera Trap Animal Image ClassificationKeshav Ramesh, Mahmoud Darwish, Ahmed Sharafath Ahamed Zibli, Nikita Christ Miller, Ali Reza Sajun, Imran A. Zualkernan, Altaf Habib, Andrew Gardner. 212-227 [doi]
• Towards a Hybrid Human-Machine Discovery of Complex Movement PatternsNatalia V. Andrienko, Gennady L. Andrienko, Alexander Artikis, Periklis Mantenoglou, Salvatore Rinzivillo. 231-238 [doi]
• Trustworthy Hybrid Decision-MakingKrishna Sri Ipsit Mantri, Nevasini Sasikumar. 239-244 [doi]
• Optimizing Delegation Between Human and AI Collaborative AgentsAndrew Fuchs, Andrea Passarella, Marco Conti. 245-260 [doi]
• Exploring the Risks of General-Purpose AI: The Role of the Brain's Reward Mechanism and Nearsighted Goals in Processes of Decision-MakingsDeivide Garcia da Silva Oliveira. 261-267 [doi]
• Towards Synergistic Human-AI Collaboration in Hybrid Decision-Making SystemsClara Punzi, Mattia Setzu, Roberto Pellungrini, Fosca Giannotti, Dino Pedreschi. 268-275 [doi]
• On the Challenges and Practices of Reinforcement Learning from Real Human FeedbackTimo Kaufmann, Sarah Ball, Jacob Beck, Eyke Hüllermeier, Frauke Kreuter. 276-294 [doi]
• Conversational XAI: Formalizing Its Basic Design PrinciplesMarco Garofalo, Alessia Fantini, Roberto Pellungrini, Giovanni Pilato, Massimo Villari, Fosca Giannotti. 295-309 [doi]
• TCuPGAN: A Novel Framework Developed for Optimizing Human-Machine Interactions in Citizen ScienceRamanakumar Sankar, Kameswara Bharadwaj Mantha, Lucy Fortson, Helen Spiers, Thomas Pengo, Douglas Mashek, Myat Mo, Mark Sanders, Trace Christensen, Jeffrey Salisbury, Laura Trouille. 310-315 [doi]
• A Crossroads for Hybrid Human-Machine Decision-MakingBen Wilson, Kayal Lakshmanan, Alan J. Dix, Alma A. M. Rahat, Matt J. Roach. 316-322 [doi]
• Enhancing Fairness, Justice and Accuracy of Hybrid Human-AI Decisions by Shifting Epistemological StancesPeter Daish, Matt Roach, Alan J. Dix. 323-331 [doi]
• Interpreting Dynamic Causal Model PoliciesJohn Mark Agosta, Robert Horton, Maryam Tavakoli Hosseinabadi. 332-337 [doi]
• Relation of Activity and Confidence When Training Deep Neural NetworksValerie Krug, Christopher Olson, Sebastian Stober. 341-351 [doi]
• Explaining an Image Classifier with a Generative Model Conditioned by UncertaintyAdrien Le-Coz, Stéphane Herbin, Faouzi Adjed. 352-359 [doi]
• Identifying Trends in Feature Attributions During Training of Neural NetworksElena Terzieva, Maximilian Muschalik, Paul Hofman, Eyke Hüllermeier. 360-366 [doi]
• Using Stochastic Methods to Setup High Precision ExperimentsKristina Veljkovic, Petar Kochovski, Vlado Stankovski. 367-381 [doi]
• Designing a Method to Identify Explainability Requirements in Cancer ResearchDidier Dominguez, Dimitris Fotopoulos, Ioanna Chouvarda, Susanna Aussó. 382-388 [doi]
• Explainable Learning with Hierarchical Online Deterministic AnnealingChristos N. Mavridis, John S. Baras. 389-403 [doi]
• Explaining Uncertainty in AI for Clinical Decision Support SystemsElisabeth R. M. Heremans, Maarten De Vos. 404-411 [doi]
• Towards Explainability in Monocular Depth EstimationVasileios Arampatzakis, George Pavlidis, Kyriakos Pantoglou, Nikolaos Mitianoudis, Nikos Papamarkos. 412-419 [doi]
• Using Part-Based Representations for Explainable Deep Reinforcement LearningManos Kirtas, Konstantinos Tsampazis, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas. 420-432 [doi]
• Regionally Additive Models: Explainable-by-Design Models Minimizing Feature InteractionsVasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas 0001, Eirini Ntoutsi, Christos Diou. 433-447 [doi]
• FALE: Fairness-Aware ALE Plots for Auditing Bias in SubgroupsGiorgos Giannopoulos, Dimitris Sacharidis, Nikolaos Theologitis, Loukas Kavouras, Ioannis Z. Emiris. 448-455 [doi]
• Tracing Videos to Their Social Network with Robust DCT AnalysisBen Lewis, Victor Sanchez. 459-468 [doi]
• All-for-One and One-for-All: Deep Learning-Based Feature Fusion for Synthetic Speech DetectionDaniele Mari, Davide Salvi, Paolo Bestagini, Simone Milani. 469-479 [doi]
• Improving Tiled Evolutionary Adversarial AttackVera Cervícková, Martin Pilát. 480-490 [doi]
• Adversarial Magnification to Deceive Deepfake Detection Through Super ResolutionDavide Alessandro Coccomini, Roberto Caldelli, Giuseppe Amato 0001, Fabrizio Falchi, Claudio Gennaro. 491-501 [doi]
• DivNoise: A Data Collection for Source Identification on Diverse Camera SensorsAlberto Casagrande, Alessio Belli, Cecilia Pasquini, Duc-Tien Dang-Nguyen. 502-512 [doi]
• Detecting Face Synthesis Using a Concealed Fusion ModelRoberto Leyva, Gregory Epiphaniou, Carsten Maple, Victor Sanchez. 513-524 [doi]
• Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying itFederico Siciliano, Luca Maiano, Lorenzo Papa, Federica Baccini, Irene Amerini, Fabrizio Silvestri. 525-530 [doi]
• Towards a Fine-Grained Threat Model for Video-Based Remote Identity ProofingCecilia Pasquini, Marco Pernpruner, Giada Sciarretta, Silvio Ranise. 531-536 [doi]