default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID10th LOD 2024, Castiglione della Pescaia, Italy - Part I
- Giuseppe Nicosia
, Varun Ojha, Sven Giesselbach, Panos M. Pardalos, Renato Umeton:
Machine Learning, Optimization, and Data Science - 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22-25, 2024, Revised Selected Papers, Part I. Lecture Notes in Computer Science 15508, Springer 2025, ISBN 978-3-031-82480-7 - Xiaochen Chou, Enza Messina, Stein W. Wallace:
Solving Two-Stage Stochastic Programming Problems via Machine Learning. 1-12 - Jirí Novák, Jirí Hanák, Peter Chudý:
Weight-Varying Model Predictive Control for Coupled Cyber-Physical Systems: Aerial Grasping Study. 13-27 - Hanieh Khorashadizadeh, Jinghua Groppe, Jessica Lückert, Sanju Tiwari, Sven Groppe:
Assessing the Impact of Government Policies on Covid-19 Spread: A Machine Learning Approach. 28-42 - Maqsood Hussain Shah, Yue Ding, Shaoshu Zhu, Yingqi Gu, Mingming Liu:
Optimal Design and Implementation of an Open-Source Emulation Platform for User-Centric Shared E-mobility Services. 43-57 - Jean-Luc Blais-Amyot, Farzan Soleymani, Eric Paquet, Herna Lydia Viktor:
Protein Sequence Generation Using Denoising Probabilistic Diffusion Model. 58-72 - Brian Whelan, Andrea Patane:
Individual Fairness in Generative Text Models. 73-91 - Víctor Gallego:
Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs. 92-105 - Martti Lehto:
Artificial Intelligence and Cyber Security. 106-117 - Vanni Zavarella, Sergio Consoli, Diego Reforgiato Recupero, Gianni Fenu:
Exploring Digital Health Trends in the Headlines via Knowledge Graph Analysis. 118-132 - Evan Crothers, Herna L. Viktor, Nathalie Japkowicz:
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading. 133-147 - Cristina Molero-Río, Claudia D'Ambrosio:
Optimal Risk Scores for Continuous Predictors. 148-162 - Adil Khan, Omar A. Galarraga C., Sonia Garcia-Salicetti, Vincent Vigneron:
Post-Treatment Gait Prediction After Botulinum Toxin Injections Using Deep Learning with an Attention Mechanism. 163-177 - Sahib Julka, Ahmad Zubair, Michael Granitzer:
Leveraging Graph Networks and Generative Adversarial Networks for Controllable Trajectory Predictions. 178-192 - Marica Magagnini, Emilio Carrizosa, Renato De Leone:
Nearest Neighbors Counterfactuals. 193-208 - Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning. 209-223 - Gideon Mbiydzenyuy, Håkan Sundell:
Pattern Detection in Abnormal District Heating Data. 224-239 - Valerio Bellandi, Stefano Siccardi:
Harnessing Graph Neural Networks for Pattern Classification in Heterogeneous Event Graphs. 240-255 - Willem Feijen, Koen Dekker, Stefan H. M. van Zwam:
Learn to Create Neighborhoods in Real-World Vehicle Routing Problem. 256-271 - Christofer Fellicious, Stewart Sentanoe, Jelena Mitrovic, Hans P. Reiser, Michael Granitzer:
PointerKex: A Pointer-Based SSH Key Extraction Method. 272-286 - Maria Tsiftsoglou, Magdalene Marinaki, Yannis Marinakis:
Addressing the Permutation Flowshop Scheduling with Grey Wolf Optimizer. 287-301 - Sathish Purushothaman, Julian Stier, Michael Granitzer:
MCGRAN: Multi-conditional Graph Generation for Neural Architecture Search. 302-316 - Saeid Rezaei, Kenneth N. Brown:
Generative Reward Machine for Reinforcement Learning for Physical Internet Distribution Centre. 317-332 - Gianluca Bontempi:
Between Accurate Prediction and Poor Decision Making: The AI/ML Gap. 333-343 - Zehao Liu, Huizhi Liang:
Cross-Metapath Based Hashing for Recommendation Systems. 344-358 - Tarek Salhi, John R. Woodward:
Beyond Iterative Tuning: Zero-Shot Hyperparameter Optimisation for Decision Trees. 359-374 - Jiye Li, Imadeddine Aziez, Raphaël Boudreault, Daniel Lafond:
Augmented Human-AI Forecasting for Ship Refit Project Scheduling: A Predict-then-Optimize Approach. 375-389 - Johannes Leveling, Lennard Helmer, Benny Jörg Stein, Dennis Wegener, Zoha Sheikh, Elanton Fernandes, Hammam Abdelwahab:
Evaluation of Document Deduplication Algorithms for Large Text Corpora. 390-404 - Iulia Igescu:
Hicks Traverse Meets O-F SVM: Belief Incoherence Attractors. 405-418 - Mohamed Allam, Noureddine Boujnah, Noel E. O'Connor, Mingming Liu:
Synthetic Time Series for Anomaly Detection in Cloud Microservices. 419-433 - Eva Anjo, Humberto Rocha, Joana Dias:
Radiotherapy Treatment Planning: An Integrated Optimization and Reinforcement Learning Approach. 434-447 - Ahmed E. Samy, Zekarias T. Kefato, Sarunas Girdzijauskas:
Leap: Inductive Link Prediction via Learnable Topology Augmentation. 448-463 - Pedro Strecht, João Mendes-Moreira, Carlos Soares:
Estimating Completeness of Consensus Models: Geometrical and Distributional Approaches. 464-478 - Yavar Taheri Yeganeh, Mohsen A. Jafari, Andrea Matta:
Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines. 479-493 - Nghiem Pham Thanh, Phan Hoang Tuan Trung, Nhi T. Le, Khiem Huynh Gia, Nam B. Tran, Bang Le Khanh, Ngan N. T. Kim, Trong D. P. Nguyen:
Clarifying the Fog: Evaluating and Enhancing User Comprehension of Android Data Safety Documents. 494-508
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-09 23:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
