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# Frontiers in artificial intelligence and applications 2025: all accepted papers

1,644 papers · page 17 of 17 · the most cited first · [← Frontiers in artificial intelligence and applications 2025](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/)

[← prev](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/16/) [1](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/) … [10](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/10/) … [16](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/16/) **17**

1601. **[Truthful Facility Location with Candidate Locations and Limited Resources ↗](https://doi.org/10.3233/faia250957)**Panagiotis Kanellopoulos, Alexandros A. Voudouris
1602. **[Two Methods for a Tourism Planning System Using Generative Artificial Intelligence ↗](https://doi.org/10.3233/faia250518)**Jun Sasaki, Ryusei Kobayashi, Koki Nishiyama
1603. **[Uncertainty in Quantitative Bipolar Argumentation Frameworks ↗](https://doi.org/10.3233/faia250995)**Jordan Thieyre, Caren Al Anaissy, Aurélie Beynier et al.
1604. **[Uncertainty-Aware Modeling of Q-Values for Efficient Exploration in Deep Reinforcement Learning ↗](https://doi.org/10.3233/faia250514)**Jianyi Wu, Xiaodong Yue, Jie Shi
1605. **[Uncertainty-Based Dynamic Weighted Experience Replay for Human-in-the-Loop Deep Reinforcement Learning ↗](https://doi.org/10.3233/faia250100)**Tian Xia, Yu Kang, Yun‐Bo Zhao et al.
1606. **[Unconstitutionality Prevention in Bills Using Hybrid AI ↗](https://doi.org/10.3233/faia251574)**Michele Corazza, Pier Francesco Bresciani, Generoso Longo et al.
1607. **[Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning ↗](https://doi.org/10.3233/faia250947)**Ardian Selmonaj, Miroslav Štrupl, Oleg Szehr et al.
1608. **[UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking ↗](https://doi.org/10.3233/faia251191)**V. Bugra Yesilkaynak, Emine Dari, Alican Mertan et al.
1609. **[Universal Rumor Detection on Modality Consistency and External Knowledge ↗](https://doi.org/10.3233/faia251294)**Haibing Zhou, Qian Zhong, Peifeng Li et al.
1610. **[Unlocking the Potential of mLLMs: Enhancing Video-Text Retrieval Through Caption Supplementation and Conical Embedding Optimization ↗](https://doi.org/10.3233/faia250879)**Baoyao Yang, Junxiang Chen, Wenbin Yao
1611. **[Unsupervised Domain Adaptation for Semantic Segmentation with Unstable Category Feature Enhancement ↗](https://doi.org/10.3233/faia251082)**Xuewei Li, Xueyang Liu, Jie Gao et al.
1612. **[Unsupervised Entity Alignment of Knowledge Graphs ↗](https://doi.org/10.3233/faia250211)**Weishan Cai, Yuncheng Jiang
1613. **[Use of a Novel Clustered Bayesian 3D- CNN Model for Triage Classification of COVID-19 Mass Casualty Incidents ↗](https://doi.org/10.3233/faia250734)**Liege Cheung, Jinrui Cao, Zequn Lin et al.
1614. **[Using MAS for a Sketch Map Creation ↗](https://doi.org/10.3233/faia241589)**Marek Menšík, Matěj Tomšů, Petr Rapant et al.
1615. **[Using Particle Filters as an Optimizer for Model Predictive Control ↗](https://doi.org/10.3233/faia250101)**Yen-Wen Chung, Ming-Yuan Peng, Chien-Lin Chiang et al.
1616. **[Validity Diagrams ↗](https://doi.org/10.3233/faia251587)**Diogo Sasdelli, Bianca Steffes
1617. **[Value Lens: Using Large Language Models to Understand Human Values ↗](https://doi.org/10.3233/faia251448)**Emma Fernández, Marcelo Karanik, Sascha Ossowskí
1618. **[VariGen: Controllable Image Generation Via Personalized Diffusion Framework ↗](https://doi.org/10.3233/faia251196)**Mingxin Cai, Zhuan Qing Huang, Yuchen Li et al.
1619. **[Vector Space Transformations to Uncover Knowledge Graphs in Neural Language Models ↗](https://doi.org/10.3233/faia250204)**Giacomo Munda, Dagmar Gromann, Tobias Heinzle
1620. **[VectorFit: Adaptive Singular & Bias Vector Fine-Tuning of Pre-Trained Foundation Models ↗](https://doi.org/10.3233/faia251353)**Suhas Hegde, Shilpy Kaur, Aruna Tiwari
1621. **[Verifiably Robust Contrastive Learning ↗](https://doi.org/10.3233/faia250980)**Harleen Hanspal, Alessio R. Lomuscio
1622. **[VisCompConText: Scaling Multi-Modal Contexts via Visual Token Compression and Language Model Guidance ↗](https://doi.org/10.3233/faia250818)**Wenjun Huang, Zhengzhuo Wang, Jiakai Pan et al.
1623. **[Vision Versus Trust in Healthcare: Qualitative Study About Identification of Leadership Types in N. Macedonia ↗](https://doi.org/10.3233/faia250034)**Ljupcho Efremov, Vera Dimitrievska
1624. **[Visual Transfer Learning Using Knowledge Graphs ↗](https://doi.org/10.3233/faia250226)**Sebastian Monka, Achim Rettinger
1625. **[Visualizing Clickstream Prediction Logic and Utility ↗](https://doi.org/10.3233/faia251435)**Danny Y. C. Wang, Lars Arne Jordanger, Jerry Chun‐Wei Lin
1626. **[WDFusion: Multi-Modal Image Fusion via Wavelet-Decoupled Inter-Modal Interaction Learning ↗](https://doi.org/10.3233/faia250807)**Yuansheng Song, Xin Ma, Xuqi Cai et al.
1627. **[WSiG: A Graph Neural Network for Whole Slide Image Classification ↗](https://doi.org/10.3233/faia250862)**Guangjian Zeng, Siyuan Tao, Yi Gao et al.
1628. **[Walk the Talk: Authentic Leadership Through Ethics ↗](https://doi.org/10.3233/faia250038)**Ljupcho Efremov, Layal Kallach
1629. **[Water Resource Capacity Using EFDC Model and Big Data Technology: A Case Study of Dongjiang Lake, Chenzhou ↗](https://doi.org/10.3233/faia250066)**Qiang Hu, Hongfeng Liu, Shaohua Yin
1630. **[WaveConv: Light-Weighted Wavelet Convolution ↗](https://doi.org/10.3233/faia250816)**Jingwen Guan, Yichao Hao, Bowen Xin et al.
1631. **[Wavelet-Based Sinogram Inner-Structure Aware Residual Diffusion Network for Low-Dose SPECT Reconstruction ↗](https://doi.org/10.3233/faia250838)**Guihao Wen, Yu Luo, Si Li
1632. **[Wearable Interactive Device Design Trends Review and Analysis ↗](https://doi.org/10.3233/faia250155)**Shan He, Jun Guo Huang
1633. **[Weisfeiler-Leman Features for Planning: A 1,000,000 Sample Size Hyperparameter Study ↗](https://doi.org/10.3233/faia251370)**Dillon Z. Chen
1634. **[What is the Role of Personal Knowledge in Social Robotics and Its Ethics? ↗](https://doi.org/10.3233/faia241540)**Michael Funk
1635. **[What to Do if a Plan Does Not Comply with an HTN Model? ↗](https://doi.org/10.3233/faia251407)**Kristýna Pantůčková, Roman Barták
1636. **[When Corporate Chatbots Show Bias: A Multi-Dimensional Analysis of LLMs in Enterprise Settings ↗](https://doi.org/10.3233/faia251397)**Shreya Bhattacharya, Vincent Hagenow, Marco Di Gennaro
1637. **[XRIS: Real-Time Web Platform for Radar Data Management and Disaster Preparedness at UTM Pagoh ↗](https://doi.org/10.3233/faia250562)**Saiful Islam Sakhawat Hossen, Zatul Alwani Shaffiei, Aznah Nor Anuar et al.
1638. **[YouAI: Train, Adapt, Perform ↗](https://doi.org/10.3233/faia241546)**Oliver Schürer
1639. **[gistBFO: An Open-Source, BFO-Compatible Version of gist ↗](https://doi.org/10.3233/faia250495)**Dylan Abney, Katherine Studzinski, Giacomo De Colle et al.
1640. **[‘Anywhere to Work’. An Implementation Method for Selecting Workplaces According to the Contexts of Workplace ↗](https://doi.org/10.3233/faia241582)**Hitoshi Kumagai, Naoki Ishibashi, Yasushi Kiyoki
1641. **[“Responsibility” Plus “Gap” Equals “Problem” ↗](https://doi.org/10.3233/faia241510)**Marc Champagne
1642. **[“So, Tell Me About Your Policy…”: Distillation of Interpretable Policies from Deep Reinforcement Learning Agents ↗](https://doi.org/10.3233/faia251213)**Giovanni Dispoto, Paolo Bonetti, Marcello Restelli
1643. **[“What if?” in Boolean Bayesian Networks ↗](https://doi.org/10.3233/faia251423)**Kilian Rückschloß, Felix Weitkämper
1644. **[“Where does it hurt?” – Dataset and Study on Physician Intent Trajectories in Doctor Patient Dialogues ↗](https://doi.org/10.3233/faia251359)**Tom Röhr, Soumyadeep Roy, Fares Al Mohamad et al.

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