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ORCID16th KDIR 2024: Porto, Portugal
- Frans Coenen, Ana Fred, Jorge Bernardino:
Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2024, Volume 1: KDIR, Porto, Portugal, November 17-19, 2024. SCITEPRESS 2024, ISBN 978-989-758-716-0
Invited Speakers
- Carlo Sansone:
Multimodal Deep Learning in Medical Imaging. IC3K 2024: 5 - Nirmalie Wiratunga:
Intelligent Reuse of Explanation Experiences: The Role of Case-Based Reasoning in Promoting Best Practice in Explainable AI. IC3K 2024: 7 - João Gama:
Recent Advances in Learning from Data Streams. IC3K 2024: 9
Papers
- Colin Daly, Lucy Hederman:
Learning to Rank for Query Auto-Complete with Language Modelling in Enterprise Search. 15-26 - Ana Duarte, Orlando Belo:
Machine Learning Unravels Sex-Specific Biomarkers for Atopic Dermatitis. 27-35 - Anish Rai, Anamitra Roy, Abhishek Santra, Sharma Chakravarthy:
MLN-Subdue: Substructure Discovery In Homogeneous Multilayer Networks. 36-47 - Duong Thien Nguyen, Thu Minh Tran Nguyen:
A Knowledge Map Mining-Based Personalized Learning Path Recommendation Solution for English Learning. 48-59 - Torpong Nitayanont, Dorit S. Hochbaum:
Positive-Unlabeled Learning Using Pairwise Similarity and Parametric Minimum Cuts. 60-71 - Mikhail Kudriavtsev, Andrew McCarren, Hyowon Lee, Marija Bezbradica:
Efficient Visualization of Association Rule Mining Using the Trie of Rules. 72-80 - Nada Aldausari, Frans Coenen, Anh Nguyen, Eduard Shantsila:
Predicting Post Myocardial Infarction Complication: A Study Using Dual-Modality and Imbalanced Flow Cytometry Data. 81-90 - Domenico Benfenati, Antonio Maria Rinaldi, Cristiano Russo, Cristian Tommasino:
GenCrawl: A Generative Multimedia Focused Crawler for Web Pages Classification. 91-101 - K. Syama, J. Angel Arul Jothi:
Antibiotic Resistance Gene Identification from Metagenomic Data Using Ensemble of Finetuned Large Language Models. 102-112 - Thi Hong Nhung Nguyen, Dao Khoa Nguyen, Hong Tiet Gia, Vu Thi My Hang:
Approaches for Extending Recommendation Models for Food Choices in Meals. 113-121 - Malick Ebiele, Malika Bendechache, Eamonn Clinton, Rob Brennan:
Personalization of Dataset Retrieval Results Using a Data Valuation Method. 122-134 - Diogo Cosme, António Galvão, Fernando Brito e Abreu:
A Systematic Literature Review on LLM-Based Information Retrieval: The Issue of Contents Classification. 135-146 - Juraj Vladika, Luca Mülln, Florian Matthes:
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models. 147-158 - Pedro Lima Louro, Guilherme Branco, Hugo Redinho, Ricardo Correia, Ricardo Malheiro, Renato Panda, Rui Pedro Paiva:
MERGE App: A Prototype Software for Multi-User Emotion-Aware Music Management. 159-166 - Antony Seabra, Claudio Cavalcante, João Nepomuceno, Lucas Lago, Nicolaas Ruberg, Sérgio Lifschitz:
Contrato360 2.0: A Document and Database-Driven Question-Answer System Using Large Language Models and Agents. 167-178 - Ibtissam Medarhri, Mohamed Hosni, Mohamed Ettalhaoui, Zakaria Belhaj, Rabie Zine:
Reviewing Machine Learning Techniques in Credit Card Fraud Detection. 179-187 - Jeffrey Myers II, Yaser Mowafi:
An Index Bucketing Framework to Support Data Manipulation and Extraction of Nested Data Structures. 191-199 - Ahmed Qarqour, Sahil-Jai Arora, Gernot Heisenberg, Markus Rabe, Tobias Kleinert:
Utilizing Data Analysis for Optimized Determination of the Current Operational State of Heating Systems. 200-209 - Wenjie Chen:
A Core Technology Discovery Method Based on Hypernetwork. KDIR 2024: 210-217 - Kristína Machová, Martin Kanuch:
Modelling of an Untrustworthiness of Fraudulent Websites Using Machine Learning Algorithms. 218-225 - Faiz Hayat, Safwan Shatnawi, Ella Haig:
Comparative Analysis of Topic Modelling Approaches on Student Feedback. 226-233 - Bernhard Bermeitinger, Tomas Hrycej, Massimo Pavone, Julianus Kath, Siegfried Handschuh:
Reducing the Transformer Architecture to a Minimum. 234-241 - Jan Frederic Spörer, Bernhard Bermeitinger, Tomas Hrycej, Niklas Limacher, Siegfried Handschuh:
Efficient Neural Network Training via Subset Pretraining. 242-249 - Dongming Jiang, Abhishek Shah, Stanley Yeung, Jessica Zhu, Karan Singh, George Goldenberg:
Multi-Label Classification for Fashion Data: Zero-Shot Classifiers via Few-Shot Learning on Large Language Models. 250-257 - Hande Aka Uymaz, Senem Kumova Metin:
Optimizing High-Dimensional Text Embeddings in Emotion Identification: A Sliding Window Approach. 258-266 - Amanda Salinas-Pinto, Bryan Alvarado-Ulloa, Dorit S. Hochbaum, Matías Francia-Carramiñana, Ricardo Ñanculef, Roberto Javier Asín Achá:
Text-Based Feature-Free Automatic Algorithm Selection. 267-274 - Dorit S. Hochbaum:
Flow Is Best, Fast and Scalable: The Incremental Parametric Cut for Maximum Density and Other Ratio Subgraph Problems. 275-282 - Mahran Jazi, Irad Ben-Gal:
Federated Learning for XSS Detection: A Privacy-Preserving Approach. 283-293 - Ikuo Keshi, Ryota Daimon, Yutaka Takaoka, Atsushi Hayashi:
Integrated Evaluation of Semantic Representation Learning, BERT, and Generative AI for Disease Name Estimation Based on Chief Complaints. 294-301 - David Medina-Ortiz, Gabriel Cabas-Mora, Iván Moya, Nicole Soto-García, Roberto Uribe Paredes:
RUDEUS: A Machine Learning Classification System to Study DNA-Binding Proteins. 302-310 - Elona Shatri, György Fazekas:
Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation. 311-319 - Bardia Rafieian, Pere-Pau Vázquez:
Evaluating the Suitability of Long Document Embeddings for Classification Tasks: A Comparative Analysis. 320-327 - Andrew L. Mackey, Susan Gauch, Israel Cuevas:
Prompt Distillation for Emotion Analysis. 328-334 - WingYin Ha, Diarmuid P. O'Donoghue:
Comparing Human and Machine Generated Text for Sentiment. 335-342 - Catarina Pires, Pedro Gonçalo Correia, Pedro Silva, Liliana Ferreira:
Enhancing LLMs with Knowledge Graphs for Academic Literature Retrieval. 343-347 - Arghya Kundu, Uyen Trang Nguyen:
An Explainable Classifier Using Diffusion Dynamics for Misinformation Detection on Twitter. 348-357 - Riccardo Dondi, Mohammad Mehdi Hosseinzadeh:
A Network Learning Method for Functional Disability Prediction from Health Data. 358-362 - Mariana Carvalho, Ana Borges, Alexandra Gavina, Lídia Duarte, Joana Leite, Maria João Polidoro, Sandra M. Aleixo, Sónia Dias:
Enhancing Dyeing Processes with Machine Learning: Strategies for Reducing Textile Non-Conformities. 363-370 - Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas:
Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping. 371-382 - Abhishek Santra, Hafsa Billah, Sharma Chakravarthy:
Multilayer Networks: For Modeling and Analysis of Big Data. 383-390 - Ágata Palma, Pedro Morais, Ana Alves:
Route Recommendation Based on POIs and Public Transportation. 391-398 - Manuel Dalcastagné, Giuseppe Di Fabbrizio:
Hyperparameter Optimization for Search Relevance in E-Commerce. 399-407 - Rosa Matias, Maria Beatriz Piedade:
A Framework for Self-Service Business Intelligence. 408-415 - Hanna Abi Akl, Dominique Mariko, Yann-Alan Pilatte, Stéphane Durfort, Nesrine Yahiaoui, Anubhav Gupta:
Knowledge Graphs Can Play Together: Addressing Knowledge Graph Alignment from Ontologies in the Biomedical Domain. 416-423 - Sophie Gvasalia, Mauro Pelucchi, Simone Perego, Rita Porcelli:
Decoding AI's Evolution Using Big Data: A Methodological Approach. 424-432 - William Ferreira da Silva Filho, Seyed Jamal Haddadi, Júlio Cesar dos Reis:
MAEVE: An Agnostic Dataset Generator Framework for Predicting Customer Behavior in Digital Marketing. 433-440 - Alina Campan, Noah Holtke:
Beyond Twitter: Exploring Alternative API Sources for Social Media Analytics. 441-447 - Abderahmane Hamdouchi, Ali Idri:
Optimizing Federated Learning for Intrusion Detection in IoT Networks. 448-456 - Meng Wang, Zhixiong Zhang, Hanyu Li, Guangyin Zhang:
An Improved Meta-Knowledge Prompt Engineering Approach for Generating Research Questions in Scientific Literature. 457-464 - Aswin Kumar Nalluri, Yan Zhang:
A Smart Hybrid Enhanced Recommendation and Personalization Algorithm Using Machine Learning. 465-472 - Miraç Tugcu, Begüm Çitamak Erdinç, Tolga Çekiç, Seher Can Akay, Derya Uysal, Onur Deniz, Erkut Erdem:
An End-to-End Generative System for Smart Travel Assistant. 473-479 - Philipp Kohl, Yoka Krämer, Claudia Fohry, Bodo Kraft:
Comparative Performance Analysis of Active Learning Strategies for the Entity Recognition Task. 480-488 - Junyi Hu, You Zhou, Jie Wang:
Intrinsic Evaluation of RAG Systems for Deep-Logic Questions. 489-496 - Eva K. Lee, Fan Yuan, Barton J. Mann, Marlene DeMaio:
Prediction of Response to Intra-Articular Injections of Hyaluronic Acid for Knee Osteoarthritis. 497-508 - Mohamed Hosni:
Comparative Analysis of Single and Ensemble Support Vector Regression Methods for Software Development Effort Estimation. 509-516 - Mohamed Hosni, Ibtissam Medarhri, Juan Manuel Carrillo de Gea:
Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods. 517-524 - Hafsaa Ouifak, Ali Idri:
Insights into the Potential of Fuzzy Systems for Medical AI Interpretability. 525-532
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