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17th IC3K 2025: Marbella, Spain - Volume 1: KDIR
- Frans Coenen, Lars Nolle, David Aveiro, Jesualdo Tomás Fernández-Breis, Elio Masciari, Le Gruenwald, Jorge Bernardino, Ricardo Torres:

Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2025, Volume 1: KDIR, Marbella, Spain, October 22-24, 2025. SCITEPRESS 2025, ISBN 978-989-758-769-6
Invited Speakers
- Richard Chbeir:

Location Privacy in Crowdsourcing. IC3K 2025: 5 - Henry Prakken:

An Overview of AI & Law Models of Case-Based Reasoning, with Applications in Decision Analysis and Explainable AI. IC3K 2025: 7 - Valentina Presutti:

Data Quality and Ethics in Cultural Heritage Knowledge Graphs. IC3K 2025: 9
Papers
- Natasha Randall, Gernot Heisenberg, Juan Luis Ramirez Duval:

Generating Aerial Flood Prediction Imagery with Generative Adversarial Networks. 15-27 - Du Chen, Mariluz Penalva Oscoz, Yang Hai, Martin Rebe Ander, Frans Coenen, Anh Nguyen:

Sheet Metal Forming Springback Prediction Using Image Geometrics (SPIG): A Novel Approach Using Heatmaps and Convolutional Neural Network. 28-38 - Mustafa Juzer Fatehi, Siddharath Malavalli Nagesh, Mandalam Akshit Rao, Stellin John George, J. Angel Arul Jothi, Elakkiya Rajasekar:

Towards Transparent AI in Medical Imaging: Fracture Detection in Hand Radiographs with Grad-CAM Insights. 39-48 - Sükrü Kaan Tetik, Emirhan Toprak, Senem Kumova Metin, Hande Aka Uymaz:

Redefining Prerequisites Through Text Embeddings: Identifying Practical Course Dependencies. 49-59 - Juite Wang, Ying-Pei Kao:

A Two-Layer Deep Learning Approach for R&D Partner Recommendation in the Self-Driving Vehicle Industry. 60-66 - Manju Vallayil, Parma Nand, Wei Qi Yan, Héctor Allende-Cid:

Unsupervised Thematic Context Discovery for Explainable AI in Fact Verification: Advancing the CARAG Framework. 67-77 - Tomas Hrycej, Bernhard Bermeitinger, Massimo Pavone, Götz-Henrik Wiegand, Siegfried Handschuh:

A Convexity-Dependent Two-Phase Training Algorithm for Deep Neural Networks. 78-86 - Meng Wang, Jing Xie, Yang Li, Zhixiong Zhang, Hanyu Li:

Enhanced LLM Text Classification Method with Embedded Semantic Feature Encoding. 87-97 - Duong Bach, Pham Nhat Minh:

Hierarchical Patch Compression for ColPali: Efficient Multi-Vector Document Retrieval with Dynamic Pruning and Quantization. 98-109 - Lorenz Brehme, Benedikt Dornauer, Thomas Ströhle, Maximilian Ehrhart, Ruth Breu:

Retrieval-Augmented Generation in Industry: An Interview Study on Use Cases, Requirements, Challenges, and Evaluation. 110-122 - Xueli Pan, Victor de Boer, Jacco van Ossenbruggen:

FIRESPARQL: A LLM-Based Framework for SPARQL Query Generation over Scholarly Knowledge Graphs. 123-134 - Rodrigo Oliveira Caus, Víctor Jesús Sotelo Chico, Victor Hochgreb, Júlio Cesar dos Reis:

Embeddings Might Be all You Need: Domain-Specific Sentence Encoders for Latin American E-Commerce Questions. 135-146 - André Gomes Regino, Gilson Yuuji Shimizu, Fernando Rezende Zagatti, Filipe Loyola Lopes, Rodrigo Bonacin, Júlio Cesar dos Reis, Cristina Dutra de Aguiar Ciferri:

Suggesting Product Prices in Automotive E-Commerce: A Study Assessing Regression Models and Explicability. 147-158 - Joel Azzopardi:

LLMs and Knowledge Discovery in Low-Resource Language Parliamentary Corpora: The PQ Dashboard Case Study. 159-170 - Kerven Durdymyradov, Mikhail Moshkov:

Experimental Study of Algorithms for Transforming Decision Rule Systems into Decision Trees. 173-180 - Zainab Abualhassan, Haidar Ramadhan, Mohammed Faisal Naji, Hajar Alsulaili:

Real-Time Arabic Sign Language Recognition Using YOLOv5. 181-187 - Arman Arzani, Theodor Josef Vogl, Marcus Handte, Pedro José Marrón:

A Hybrid Approach for Mining the Organizational Structure from University Websites. 188-199 - Maodi Hu, Donghuan Song, Xiumin Liu, Xi Sun, Zhixiong Zhang:

Triples, Chains, and Trees: A Hybrid Knowledge Representation Framework for Multi-Modal Scientific Content. IC3K (KDIR) 2025: 200-207 - Andrei Olar:

On the Asymmetrical Nature of Entity Matching Using Pre-Trained Transformers. 208-215 - Samantha Butcher, Beatriz de la Iglesia:

Mapping Weaponised Victimhood: A Machine Learning Approach. 216-223 - Changfeng Yu, Jie Wang:

Assessing Grade Levels of Texts via Local Search over Fine-Tuned LLMs. 224-231 - An Vuong, Susan Gauch:

Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis. 232-239 - Parma Nand, CangeGe Zhang, Manju Vallayil:

Objective-Oriented Transformer for Abstractive Document Summarization. 240-247 - Mahran Jazi, Irad Ben-Gal:

Peer-to-Peer Federated Learning with Trusted Data Sharing for Non-IID Mitigation. 248-256 - Amel Gader, Alsayed Algergawy:

AutoVU-KG: Automated Validation and Updates for Knowledge Graphs with Web-Search-Augmented LLMs. 257-265 - Aerty Santos, Gabriel Silveira de Queirós Campos, Cristine Griffo, Eliana Zandonade, Elias de Oliveira:

Explaining the Judges' Decisions Criteria. 266-274 - Peixuan Men, Longchao Wang, Aihua Li, Xiaoli Tang:

CGNTM: Unsupervised Causal Topic Modeling with LLMs and Nonlinear Causal GNNs. 275-285 - Dechao Wang, Yongjie Li, Jian Zhu, Xiaoli Tang:

WPCM: A Multi-Label Patent Classification Method Based on Weakly Supervised Learning. 286-293 - Dechao Wang, Yongjie Li, Jian Zhu, Xiaoli Tang:

Research on Frontier Discovery of Technological Innovation Based on Knowledge Flow. 294-301 - Abin Shakya, Bijaya B. Karki:

Weakly Supervised Graph Neural Networks for Scalable 3D Phase Segmentation in Molecular Dynamics Simulations. 302-312 - Matthias Späth, Andrea Nestler, Henry Böddeker, Leonidas Lefakis, Yevgeniy Puzikov, Rodrigo Weffer, Nour Karessli, Nadja Klein, Reza Shirvany:

MultiFlags: A Probabilistic Framework for Article-Based Size Advice in Fashion E-Commerce. 313-322 - Pandey Shourya Prasad, Vidhish Trivedi, Madhav Rao, Srijoni Sen:

JURISMIND: Context-Driven Retrieval for Accurate and Relevant Legal Question-Answering in Patent Filings. 323-329 - Andrew L. Mackey, Israel Cuevas, Susan Gauch:

Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models. 330-336 - Rezaur Rashid, Gabriel Terejanu:

From Observations to Causations: A GNN-Based Probabilistic Prediction Framework for Causal Discovery. 337-348 - Nektarios Machner, Yaren Mändle, Florian Matthes:

Exploring Customer Service Agent Preferences for Conversational and Keyword-Based Information Retrieval. 349-356 - Colin Daly, Lucy Hederman:

JARGES: Detecting and Decoding Jargon for Enterprise Search. 357-363 - Kavach Dheer, Peter Corcoran, Josephine Griffith:

Beyond Parameter Counts: Benchmarking Similar-Sized Large Language Models for Next-Item Recommendation. 364-371 - Raymond Conlin, Colm O'Riordan:

Composer Classification Using a Note Difference Graph. 372-379 - Nadeem Iftikhar, Cosmin-Stefan Raita, Aziz Kadem, David Buncek, Matthew Haze Trinh, Yi-Chen Lin, Anders Vestergaard, Gianna Bellè:

From Detection to Diagnosis: A Layered Hybrid Framework for Anomaly Characterization in Maritime Sensor Streams. 380-387 - Rusith Chamara Hathurusinghe Dewage, Habib Ullah, Muhammad Salman Siddiqui, Rakibul Islam, Fadi Al Machot:

Uncertainty Estimation and Calibration of a Few-Shot Transfer Learning Model for Lettuce Phenotyping. 388-397 - Yongjie Li, Jian Zhu, Longchao Wang, Xiaoli Tang:

Identifying Innovation Frontiers Based on Prediction of Citation Network Links Between Papers and Patents. 398-405 - Farnaz Sadeghi, Capri Paquet, Herna L. Viktor:

Towards Interpretable Fairness-Aware Online Machine Learning Through Local Surrogate Models. 406-414 - Cosimo Palma, Bence Molnar:

The WikiWooW Dataset: Harnessing Semantic Similarity and Clickstream-Data for Serendipitous Hyperlinked-Paths Mining in Wikipedia. 415-425 - Antony Seabra, Claudio Cavalcante, Sérgio Lifschitz:

Comparing Chain and Tree-Based Reasoning for Explainable Knowledge Discovery in Contract Analytics Using Large Language Models. 426-435 - Tim Menzner, Jochen L. Leidner:

Bias-Mitigating News Search with BiasRank. 436-447 - Nida Meddouri, Loïc Salmon, David Beserra, Elloh Adja:

Decision Rule-Based Learning of Terrorist Threats. 448-456 - Gaurav N. Pradhan, Sarah E. Kingsbury, Michael J. Cevette, Jan Stepánek, Richard J. Caselli:

Towards Early Detection of Mild Cognitive Impairment: Predictive Analytics Using the Oculo-Cognitive Addition Test (OCAT). 457-464 - Néstor Miguel-Morante, Iván Rivero, Diego García-Prieto, Rafael Duque, Camilo Palazuelos, Abraham Casas:

Integrating Large Language Models into Automated Machine Learning: A Human-Centric Approach. 465-472 - Yuling Sun, Xuening Cui, Aning Qin, Jiatang Luo:

Identifying Research Hotspots and Research Gaps in Specific Research Area Based on Fine-Grained Information Extraction via Large Language Models. 473-480 - Nicholas Caporusso, Alina Campan, Ayush Bhandari, Stephen Kroeger, Sarita Gautam:

BrandNERD: An Extensive Brand Dataset and Analysis Pipeline for Named Entity Resolution. 481-488 - Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher, Ludwig Bothmann, Christian Heumann, Stephanie Thiemichen:

Are all Genders Equal in the Eyes of Algorithms? Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness. 489-500 - Kazhan Misri, Leo Alexandre, Beatriz de la Iglesia:

From Free Text to Upper Gastrointestinal Cancer Diagnosis: Fine-Tuning Language Models on Endoscopy and Histology Narratives. 501-508 - Ronaldinho Vega Centeno Olivera, Allan Mariano de Souza, Júlio Cesar dos Reis:

RFG Framework: Retrieval-Feedback-Grounded Multi-Query Expansion. 509-516 - Selin Sasal, Özgü Can:

Prompt Injection Attacks on Large Language Models: Multi-Model Security Analysis with Categorized Attack Types. 517-524

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