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27th ISMIS 2024: Poitiers, France
- Annalisa Appice
, Hanane Azzag
Foundations of Intelligent Systems - 27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024, Proceedings. Lecture Notes in Computer Science 14670, Springer 2024, ISBN 978-3-031-62699-9
Classification and Clustering
- Stefano Polimena
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables. 3-13 - Quentin Haenn
Clustering Under Radius Constraints Using Minimum Dominating Sets. 14-23 - Alberto Valese, Valentina Gliozzi
Learning Typicality Inclusions in a Probabilistic Description Logic for Concept Combination. 24-32
Neural Network and Natural Language Processing
- Arkadiusz Nowacki
LLMental: Classification of Mental Disorders with Large Language Models. 35-44 - Md. Nishat Raihan, Dhiman Goswami, Sadiya Sayara Chowdhury Puspo, Christian D. Newman, Tharindu Ranasinghe, Marcos Zampieri:
CSEPrompts: A Benchmark of Introductory Computer Science Prompts. 45-54 - Mariya Borovikova
Semantically-Informed Domain Adaptation for Named Entity Recognition. 55-64 - Nazish Hina, Mohand Boughanem, Taoufiq Dkaki:
Token Pruning by Dimensionality Reduction Methods on TCT-ColBERT for Reranking. 65-74
AI Tools and Models
- Daniele Rosa
Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers. 77-86 - Amal Beldi, Salma Sassi, Richard Chbeir, Abderrazek Jemai:
HERSE: Handling and Enhancing RDF Summarization Through Blank Node Elimination. 87-101 - Rory A. Lewis, Michael Bihn, Katrina Nesterenko:
Rough Sets for a Neuromorphic CMOS System. 102-111
Neural Network and Data Mining
- Angelica Liguori
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders. 115-125 - Jonathan Gerber, Bruno B. Kreiner, Jasmin S. Saxer
Digilog: Enhancing Website Embedding on Local Governments - A Comparative Analysis. 126-135 - Vincenzo Pasquadibisceglie
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. 136-145
Explainability in AI
- Kenniy Olorunnimbe, Herna L. Viktor:
Enhancing Temporal Transformers for Financial Time Series via Local Surrogate Interpretability. 149-159 - Simona Colucci
Explaining Commonalities of Clusters of RDF Resources in Natural Language. 160-169 - Hajar Baghcheband
Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM). 170-177
Industry Session
- Seda Polat Erdeniz, Ilhan Adiyaman
ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data. 181-190 - Angelica Liguori, Ettore Ritacco, Giuseppe Benvenuto, Salvatore Iiritano, Giuseppe Manco, Massimiliano Ruffolo:
Siamese Networks for Unsupervised Failure Detection in Smart Industry. 191-200 - Omar Himych, Amaury Durand, Yannig Goude:
Adaptive Forecasting of Extreme Electricity Load. 201-215 - Blaz Dobravec
Addressing Reviewers Comments: Explaining Voltage Control Decisions: A Scenario-Based Approach in Deep Reinforcement Learning. 216-230 - Maxime Perrot, Mickaël Baron, Brice Chardin, Stéphane Jean:
Knowledge Graphs for Data Integration in Retail. 231-245
Learning with Complex Data
- Fabien Lionti
Bayesian Approach for Parameter Estimation in Vehicle Lateral Dynamics. 249-259 - Collin Coil
Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios. 260-270 - Masoumeh Vahedi, Henning Christiansen:
SPLindex: A Spatial Polygon Learned Index. 271-281
Recommendation Systems and Prediction
- Aileen Benedict
Action Rules Discovery: Leveraging Attributes Correlation Based Vertical Partitioning. 285-295 - Katherine Rossella Foglia
HalpernSGD: A Halpern-Inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint. 296-305 - Simona Fioretto
Integrating Predictive Process Monitoring Techniques in Smart Agriculture. 306-313
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