Table of Contents

• Introducing the Attribution Stability Indicator: A Measure for Time Series XAI AttributionsUdo Schlegel, Daniel A. Keim. 3-18 [doi]
• LMFD: Latent Monotonic Feature DiscoveryGuus Toussaint, Arno J. Knobbe. 19-36 [doi]
• LinC: Explaining Time Series Clusterings with User-Provided ConstraintsSimiao Lin, Aras Yurtman, Jonas Soenen, Hendrik Blockeel. 37-52 [doi]
• Explainable Long and Short-Term Pattern Detection in Projected Sequential DataMatthias Bittner, Andreas P. Hinterreiter, Klaus Eckelt, Marc Streit. 53-68 [doi]
• Matching the Expert's Knowledge via a Counterfactual-Based Feature Importance MeasureAntonio Luca Alfeo, Mario G. C. A. Cimino, Guido Gagliardi. 71-86 [doi]
• Explaining Fatigue in Runners Using Time Series Analysis on Wearable Sensor DataBahavathy Kathirgamanathan, Thu-Trang Nguyen, Brian Caulfield 0001, Georgiana Ifrim, Pádraig Cunningham. 87-103 [doi]
• Wave Top-k Random-d Family Search: How to Guide an Expert in a Structured Pattern SpaceEtienne Lehembre, Bruno Crémilleux, Bertrand Cuissart, Abdelkader Ouali, Albrecht Zimmermann. 104-119 [doi]
• Diffusion-Based Visual Counterfactual Explanations - Towards Systematic Quantitative EvaluationPhilipp Väth, Alexander M. Frühwald, Benjamin Paassen, Magda Gregorova. 120-135 [doi]
• Exploring Gender Bias in Misclassification with Clustering and Local ExplanationsAurora Ramírez 0001. 136-151 [doi]
• Are Generative-Based Graph Counterfactual Explainers Worth It?Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo. 152-170 [doi]
• FIPER: A Visual-Based Explanation Combining Rules and Feature ImportanceEleonora Cappuccio, Daniele Fadda, Rosa Lanzilotti, Salvatore Rinzivillo. 171-184 [doi]
• Manipulation Risks in Explainable AI: The Implications of the Disagreement ProblemSofie Goethals, David Martens, Theodoros Evgeniou. 185-200 [doi]
• Using Graph Neural Networks for the Detection and Explanation of Network IntrusionsAhmed Rafik El-Mehdi Baahmed, Giuseppina Andresini, Céline Robardet, Annalisa Appice. 201-216 [doi]
• Game Theoretic Explanations for Graph Neural NetworksAtaollah Kamal, Céline Robardet, Marc Plantevit. 217-232 [doi]
• From Black Box to Glass Box: Evaluating the Faithfulness of Process Predictions with GCNNsMyriam Schaschek, Fabian Gwinner, Benedikt Hein, Axel Winkelmann. 233-249 [doi]
• A New Class of Intelligible Models for Tabular LearningKodjo Mawuena Amekoe, Hanane Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre. 250-268 [doi]
• Plant Disease Detection Using Deep Learning: A Proof of Concept on Pear Leaf Disease DetectionGianni Fenu, Francesca Maridina Malloci, Marcello Onorato, Marco Secondo Gerardi, Angela Scano. 271-279 [doi]
• Lavender Autonomous Navigation with Semantic Segmentation at the EdgeAlessandro Navone, Fabrizio Romanelli, Marco Ambrosio, Mauro Martini, Simone Angarano, Marcello Chiaberge. 280-291 [doi]
• Modelling Solar PV Adoption in Irish Dairy Farms Using Agent-Based ModellingIias Faiud, Karl Mason, Michael Schukat. 292-300 [doi]
• Deep Networks Based Approach for Automatic Counting Panicles on UAV Captured Paddy RGB ImageryTejasri N, Sam Mathew Betson, Pachamuthu Rajalakshmi, Balram Marathi, Uday B. Desai. 301-311 [doi]
• The ACRE Crop-Weed Dataset for Benchmarking Weed Detection Models on Maize and Beans FieldsRiccardo Bertoglio, Eli Spizzichino, Anne Kalouguine, Giuliano Vitali, Matteo Matteucci. 312-323 [doi]
• Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-Based ApproachAbdul Wahid, Iias Faiud, Karl Mason. 324-336 [doi]
• Unsupervised Ontology- and Taxonomy Construction Through Hyperbolic Relational Domains and RangesFilip Cornell, Yifei Jin, Jussi Karlgren, Sarunas Girdzijauskas. 339-348 [doi]
• A Filter-Based Neural ODE Approach for Modelling Natural Systems with Prior Knowledge ConstraintsC. Coelho 0002, M. Fernanda P. Costa, Luís L. Ferrás. 349-360 [doi]
• Towards Automatically Refining Low-Quality Domain Knowledge: A Case Study in HealthcarePawel Bielski, Sönke Jendral, Lena Witterauf, Jakob Bach. 361-367 [doi]
• Lorentz-Invariant Augmentation for High-Energy Physics Deep Learning ModelsSimone Monaco, Sebastiano Barresi, Daniele Apiletti. 368-376 [doi]
• Discovering SpatioTemporal Warning Contexts from Non-emergency Call ReportsLuca Cagliero, Andrea Avignone, Silvia Chiusano. 377-389 [doi]
• SEEDOT: Tool for Enhancing Sentiment Lexicon with Machine LearningVittorio Haardt, Lorenzo Malandri, Fabio Mercorio, Luca Porcelli. 390-402 [doi]
• Detection and Semantic Description of Changes in Earth Observation Time Series DataDaniela F. Milon-Flores, Camille Bernard, Jérôme Gensel, Gregory Giuliani. 405-411 [doi]
• Low-Rank Hierarchical Clustering of PRISMA Hyperspectral Images to Identify Burned AreasGaetano Settembre, Nicolò Taggio, Nicoletta Del Buono, Antonello Aiello, Flavia Esposito. 412-423 [doi]
• Next Day Fire Prediction via Semantic SegmentationKonstantinos Alexis, Stella Girtsou, Alexis Apostolakis, Giorgos Giannopoulos, Charalampos Kontoes. 424-435 [doi]
• Robust Burned Area Delineation Through Multitask LearningEdoardo Arnaudo, Luca Barco, Matteo Merlo, Claudio Rossi 0003. 436-447 [doi]
• Burnt Area Extraction from High-Resolution Satellite Images Based on Anomaly DetectionOscar David Rafael Narvaez Luces, Minh-Tan Pham, Quentin Poterek, Rémi Braun. 448-457 [doi]
• Seasonal Average Temperature Forecast with the AutoGluonTS Modern AutoML ToolDiego Kiedanski, Pablo Rodríguez-Bocca, Gerardo Rubino. 458-468 [doi]
• Curvature-Based Pooling Within Graph Neural NetworksCedric Sanders, Andreas Roth, Thomas Liebig. 471-485 [doi]
• Finding Coherent Node Groups in Directed GraphsIiro Kumpulainen, Nikolaj Tatti. 486-497 [doi]
• Constructing Neural Forms for Hard-Constraint PINNs with Complex Dirichlet BoundariesFrank Ehebrecht, Toni Scharle, Martin Atzmueller. 501-510 [doi]
• AutoML to Generalize Strong Gravitational Lens Modeling ProblemSamira Rezaei, Mitra Baratchi. 511-518 [doi]
• Data-Efficient Interactive Multi-objective Optimization Using ParEGOArash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt. 519-526 [doi]
• Striving for Simplicity in Deep Neural Models Trained for Malware DetectionMalik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba. 529-540 [doi]
• On the Effectiveness of Non-negative Matrix Factorization for Text Open-Set RecognitionAngelo Impedovo, Giuseppe Rizzo 0001. 541-552 [doi]
• Real-Time Anomaly Prediction from Cryptocurrency Time SeriesAntonio Pellicani, Gianvito Pio, Sao Deroski, Michelangelo Ceci. 553-561 [doi]
• A Joint Analysis of Trajectory Mining and Process Mining for Smartphone User BehaviourSimona Fioretto, Elio Masciari, Enea Vincenzo Napolitano. 562-569 [doi]
• Towards Automation of Pollen Monitoring - Dealing with the Background in Pollen Monitoring ImagesElzbieta Kubera, Alicja Wieczorkowska, Krystyna Piotrowska-Weryszko, Agata Konarska, Agnieszka Kubik-Komar. 570-581 [doi]