---
title: "Frontiers in artificial intelligence and applications 2025 — all"
description: "All 1,644 papers of Frontiers in artificial intelligence and applications 2025 · page 10 of 17, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/10/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/10/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Frontiers in artificial intelligence…](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/) / [2025](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/) / [papers](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/) / page 10

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

1,644 papers · page 10 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/9/) [1](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/) … [9](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/9/) **10** [11](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/11/) … [17](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/17/) [next →](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/11/)

901. **[Exploring Human-AI Synergy for Complex Claim Verification ↗](https://doi.org/10.3233/faia250620)**Shubhalaxmi Mukherjee, Catholijn M. Jonker, Pradeep Kumar Murukannaiah
902. **[Exploring Odor-Color Associations in Gastronomy: A Multisensory Analysis of Ingredient Scents and Dish Colors ↗](https://doi.org/10.3233/faia250588)**Vicente Casales-García, A. Jay, Ismael Sanz et al.
903. **[Exploring Text Classification Methods for Bulletin Board System Posts: A Comparative Analysis of BERT, BiLSTM, and Different Loss Functions ↗](https://doi.org/10.3233/faia250105)**Wenhan Hu, Han Wang
904. **[Exploring Topological Bias in Heterogeneous Graph Neural Networks ↗](https://doi.org/10.3233/faia251153)**Yihan Zhang
905. **[Exploring the Advantages and Applications of Virtual Reality Technology in Aging Adaptability Studies for Older Adults ↗](https://doi.org/10.3233/faia250156)**H.-N Wu, Wenhui Zhu
906. **[Exploring the Application of Smart Contracts in Financial Legal Regulation ↗](https://doi.org/10.3233/faia250403)**ShaoYan Wang
907. **[Exploring the Impact of IVIS Interaction on Task Success Rate and Cognitive Load: A Simulated Driving Experiment ↗](https://doi.org/10.3233/faia250149)**Kexin Zhao, Wentao Wei, Yichao Kong et al.
908. **[Expressive Power of Monotonic Graph Neural Networks via Datalog ↗](https://doi.org/10.3233/faia250232)**David J. Tena Cucala, Bernardo Cuenca Grau, Boris Motik et al.
909. **[Extracting Triples from Dialogues for Conversational Social Agents ↗](https://doi.org/10.3233/faia250636)**Piek T. J. M. Vossen, Selene Báez Santamaría, Lenka Bajčetić et al.
910. **[Extracting Unwritten Sentencing Rules from Czech Higher Courts’ Verdicts ↗](https://doi.org/10.3233/faia251623)**Tomáš Knap
911. **[FASL-Seg: Anatomy and Tool Segmentation of Surgical Scenes ↗](https://doi.org/10.3233/faia250908)**Muraam Abdel-Ghani, Mahmoud Ali, Mohamed Abdalhakem Taha Ali et al.
912. **[FCAD: Feature-Coupled Anisotropic Diffusion for Continuous Graph Learning ↗](https://doi.org/10.3233/faia251104)**Amitoz Azad, Zhiyuan Zhang
913. **[FDS-Net: A Frequency-Decomposed Synergistic Network for Multivariate Time Series Prediction ↗](https://doi.org/10.3233/faia251049)**Zhijiang Wang, Yuqi Li, Jinzhe Liang et al.
914. **[FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System ↗](https://doi.org/10.3233/faia251309)**Lorenzo Molfetta, Alessio Cocchieri, Stefano Fantazzini et al.
915. **[FGML-DG: Feynman-Inspired Cognitive Science Paradigm for Cross-Domain Medical Image Segmentation ↗](https://doi.org/10.3233/faia251276)**Yucheng Song, Chenxi Li, Haokang Ding et al.
916. **[FPLinear: Frequency-Pruned Linear Modeling for Efficient Time-Series Forecasting on Resource-Constrained Platforms ↗](https://doi.org/10.3233/faia251140)**Shiji Jin, Wenjie Zhao
917. **[FTCFormer: Fuzzy Token Clustering Transformer for Image Classification ↗](https://doi.org/10.3233/faia250796)**Muyi Bao, Changyu Zeng, Yifan Wang et al.
918. **[FTIO: Frequent Temporally Integrated Objects ↗](https://doi.org/10.3233/faia250861)**Mohammad Mohammadzadeh Kalati, Farhad Maleki, Ian McQuillan
919. **[FVPNet: Foreground Voxels Prediction Network for 3D Object Detection ↗](https://doi.org/10.3233/faia251561)**Jing Zhou, Chao Yu, Ting Zhou
920. **[Facilitating Matches on Allocation Platforms ↗](https://doi.org/10.3233/faia251269)**Yohai Trabelsi, Abhijin Adiga, Yonatan Aumann et al.
921. **[FactNET: A Granular Fact-Checking Assistant Framework for Complex Claims ↗](https://doi.org/10.3233/faia251425)**Géraud Faye, Wassila Ouerdane, Guillaume Gadek et al.
922. **[FairFed++: Closing the Fairness Gap in Federated Learning Through Self-Evolving Clustered Optimization ↗](https://doi.org/10.3233/faia250940)**Zhixiang Fang, Baoyao Yang, Weide Zhan et al.
923. **[FairFusion: Debiasing Diffusion Models for Fair Synthetic Tabular Data Generation ↗](https://doi.org/10.3233/faia251290)**Ruma Roy, Darshika Tiwari, Anubha Pandey
924. **[Faster Lifting for Ordered Domains with Predecessor Relations ↗](https://doi.org/10.3233/faia251008)**Kuncheng Zou, Jiahao Mai, Yonggang Zhang et al.
925. **[Fatigue Driving Detection of High Speed Railway Locomotive Crew Based on YOLOv5 ↗](https://doi.org/10.3233/faia250133)**Hanqiu Li, Yang Gao, Chen Yang et al.
926. **[Fault Recovery Method of Middle and Low Voltage Distribution Network Based on BWO Algorithm ↗](https://doi.org/10.3233/faia250361)**Wei Chai, Fan Yang, Bingbing Lu et al.
927. **[Feasibility Assessment with Geographical Mapping and Knowledgebase Indicative Cost Estimation for Direct Air Capture Accelerated Deployment ↗](https://doi.org/10.3233/faia241588)**Tomoyuki Tateno, Naoki Ishibashi, Yasushi Kiyoki
928. **[Feature Drift Oriented Distribution Reconstruction for Imbalanced Class Incremental Learning ↗](https://doi.org/10.3233/faia250806)**Tingmin Li, Fengqiang Wan, Yipeng Lin et al.
929. **[FedHigh: A Graph-Guided Aggregation Framework for Layer-Wised Personalized Federated Learning ↗](https://doi.org/10.3233/faia251210)**Haizhou Du, Chongyi Qiu, Huan Huo
930. **[FedSign: Federated Learning for Enhancing Sign Language Recognition with Adaptive Model Selection ↗](https://doi.org/10.3233/faia251365)**Haoqi Zhang, Yijie Liu, Ruiquan Zhang et al.
931. **[Federated Learning for Cross-Dataset Generalization in Litter Detection ↗](https://doi.org/10.3233/faia251489)**Luciano Baresi, Simone Bianco, Livia Lestingi et al.
932. **[Female Gaze and AI Ethics: Gendered Visual Research in Digital Multimedia Environment ↗](https://doi.org/10.3233/faia250194)**Yitong Yan, Guangxi Chen, Yu He
933. **[Female Managers Are Judged More Harshly Even When They Are AI ↗](https://doi.org/10.3233/faia250681)**Hao Cui, Taha Yasseri
934. **[FenGePad–A Tangible Multi-Prompt Interactive Framework for Deep Dune Segmentation ↗](https://doi.org/10.3233/faia251486)**Zheng Jiang, Haonan Kang, Zifeng Wu et al.
935. **[Few-Shot Relation Extraction via Semantically Related Negative Samples ↗](https://doi.org/10.3233/faia251324)**Delong Han, Hongyu Hao, Jin Wan et al.
936. **[Finite Time Path Planning Algorithm Based on Minimum Processing Unit ↗](https://doi.org/10.3233/faia250180)**Hong Xing Lu, Chaoyuan Wang, Junyan Fan
937. **[First-Order LTLf Synthesis with Lookback ↗](https://doi.org/10.3233/faia250987)**Sarah Winkler
938. **[Fish-Scan: A Mobile Application to Prevent Intermixing of Ladyfish Fingerlings in Chanos Chanos Pond Cultivation ↗](https://doi.org/10.3233/faia250725)**Willy Boy S. Lachica, Lee Jelyn A. Balangue, Mark T. Calera et al.
939. **[Flexy Diary: Personalized Services for Handling Weakly Planned Activities ↗](https://doi.org/10.3233/faia250519)**Angelita Gozaly, Evgeny Pyshkin
940. **[Flowing with Tea: An Interactive System Based on Human-Computer Interaction Technology ↗](https://doi.org/10.3233/faia250159)**Yifu Zhang
941. **[Fluid Collaboration in Hybrid Human-Agent Teams ↗](https://doi.org/10.3233/faia250674)**Florian Schröder, Fabian Heinrich, Stefan Kopp
942. **[Football Match Forecasting by Leveraging Deep Learning Models ↗](https://doi.org/10.3233/faia251499)**Garima Shukla, Yash Chouksey, Anmol Koundal et al.
943. **[Forecasting Enterprise Operating Performance Using Environment, Social and Governance Reports ↗](https://doi.org/10.3233/faia250429)**Yuh‐Jen Chen, Jen-Sin Lee
944. **[Foreground-Focused Feature Enhancement and Channel Pruning for Occluded Person Re-Identification ↗](https://doi.org/10.3233/faia250130)**Xin Jin, Cheng Li, Yangjun Xu et al.
945. **[Formal Local Implication Between Two Neural Networks ↗](https://doi.org/10.3233/faia250928)**Anahita Baninajjar, Ahmed Rezine, Amir Aminifar
946. **[Formalizing Explanation Design Through Interaction Patterns in Human-AI Decision Support ↗](https://doi.org/10.3233/faia250644)**Henry Maathuis, Daan Kolkman, Stefan Leijnen et al.
947. **[Formative Assessment of Student Projects in Wedding 3D Rendering Courses Based on Multidimensional Data Analysis ↗](https://doi.org/10.3233/faia250296)**Muzi Sun
948. **[Forward Only Learning for Orthogonal Neural Networks of Any Depth ↗](https://doi.org/10.3233/faia251041)**Paul Caillon, Alex Colagrande, Erwan Fagnou et al.
949. **[Foundations for Territorial Disambiguation in Law: A Preliminary Study Using the Education Act 2005 ↗](https://doi.org/10.3233/faia251622)**Safia Kanwal, Livio Robaldo, Hafsa Shareef Dar et al.
950. **[Frame, Focus, and Capture: Enhancing Camouflaged Object Detection via Depth of Field ↗](https://doi.org/10.3233/faia250886)**Haiyan Chen, Longwu Yang, Yuhang Qian et al.
951. **[Framing the Future of Work: How Narrative Influences Perceptions of AI ↗](https://doi.org/10.3233/faia250683)**Janet Frances Rafner, Ana Alina Tudoran, Michail J. Beliatis et al.
952. **[From Certainty to Uncertainty in Knowledge: Exploring Modeling, Extraction, Representation, and Applications ↗](https://doi.org/10.3233/faia250214)**Shumin Deng, Ningyu Zhang, Tianxing Wu
953. **[From Court Decisions to Guiding Principles: Advancing Complex Legal Summarization with LLMs ↗](https://doi.org/10.3233/faia251612)**May Myo Zin, Ken Satoh, Georg Borges
954. **[From Machine Learning to Federated Knowledge Systems – Current Challenges and Future Architectural Directions for Cybersecurity Applications ↗](https://doi.org/10.3233/faia250724)**Felix Härer, Noah Agostinis
955. **[From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction ↗](https://doi.org/10.3233/faia250921)**Wentao Gao, Jiuyong Li, Lin Liu et al.
956. **[From Raw Feeds to Curated Clips: A Modular AI Framework for Sports Highlight Production ↗](https://doi.org/10.3233/faia251467)**Bruno Cabado, Bertha Guijarro‐Berdiñas, Emilio J. Padrón
957. **[From Unsupervised Phenotyping to a Clinician-Ready Classifier: A Complete Pipeline for Assessing 90° Change-of-Direction Technique in Footballers ↗](https://doi.org/10.3233/faia251434)**Alessandro Ghibellini, Stefano Di Paolo, Stefano Zaffagnini et al.
958. **[From Vision to Well-Being: A Functional Classification of Leadership Studies in Healthcare ↗](https://doi.org/10.3233/faia250033)**Ljupcho Efremov, Vera Dimitrievska
959. **[Frozen in Time: Parameter-Efficient Time Series Transformers via Reservoir-Induced Feature Expansion and Fixed Random Dynamics ↗](https://doi.org/10.3233/faia251071)**Pradeep Singh, Mehak Sharma, Anupriya Dey et al.
960. **[Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning ↗](https://doi.org/10.3233/faia251186)**Osama Mohammed, Jiaxin Pan, Mojtaba Nayyeri et al.
961. **[GCQ-ViT: Group-Aware Collaborative Post-Training Quantization for Vision Transformers ↗](https://doi.org/10.3233/faia250834)**Pan Peng, Wenbin Guo, Wei Ping et al.
962. **[GEA: Generation-Enhanced Alignment for Text-to-Image Person Retrieval ↗](https://doi.org/10.3233/faia250873)**Hao Zou, Runqing Zhang, Xue Zhou et al.
963. **[GEMPA: Graph-Enhanced Multimodal Prototype Alignment for Class Incremental Learning ↗](https://doi.org/10.3233/faia251068)**Yuling Chen, Zhenming Zhang, Chunxia Ren et al.
964. **[GLEAM: Parameter-Efficient Transfer Learning via Global Share Local Transform Mixture-of-Experts ↗](https://doi.org/10.3233/faia250864)**Jiarui Zhang, Yue Xin, Yaoming Wang et al.
965. **[GNN-GAN for Node Classification on Class-Imbalanced Graph Data ↗](https://doi.org/10.3233/faia250136)**Xiaoqi Zhou, Peixin Shi
966. **[Generalized Proof-Number Monte-Carlo Tree Search ↗](https://doi.org/10.3233/faia251406)**Jakub Kowalski, Dennis J. N. J. Soemers, Szymon Kosakowski et al.
967. **[Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer ↗](https://doi.org/10.3233/faia251280)**Guanglin Zhou, Sebastiano Barbieri
968. **[Generative Agents for Multi-Agent Autoformalization of Interaction Scenarios ↗](https://doi.org/10.3233/faia251256)**Agnieszka Mensfelt, Kostas Stathis, Vince Trencsenyi
969. **[GeoPl@ntNet: A Platform for Exploring Essential Biodiversity Variables ↗](https://doi.org/10.3233/faia251430)**Lukáš Picek, César Leblanc, Alexis Joly et al.
970. **[Getting Comfortable with Robots Artificial Phronesis, Inner Speech, and Sociomorphing ↗](https://doi.org/10.3233/faia241550)**Robin L. Zebrowski, Antonio Chella, Eli B. McGraw et al.
971. **[Global Contextualized Representations: Enhancing Machine Reading Comprehension with Graph Neural Networks ↗](https://doi.org/10.3233/faia241571)**Phuc Tran, Marina Tropmann-Frick
972. **[Going Beyond LoRA Fine-Tuning with Hebb Learning: Blazingly Fast and Accurate ↗](https://doi.org/10.3233/faia251089)**Alexander V. Demidovskij, Igor Salnikov, Olga Frolova et al.
973. **[Gold Futures Volatility Forecasting Based on HAR-QR and Machine Learning Model ↗](https://doi.org/10.3233/faia250131)**Yan Song, Jiahui Pei, Yufeng Li et al.
974. **[Gradient Selection Tuning via Information Bottleneck ↗](https://doi.org/10.3233/faia251069)**Xiaoxu Lin, Wei Li, Jun‐Wei Zhu et al.
975. **[Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation ↗](https://doi.org/10.3233/faia251378)**Muzhaffar Hazman, Minh-Khoi Pham, Shweta Soundararajan et al.
976. **[Graph Contrastive Learning with Contextual Integration: Dual Random Walks for Contrastive Views ↗](https://doi.org/10.3233/faia251520)**Dongqi Wang, Shuang Yu, Ruiguo Hu et al.
977. **[Graph Modeling and Analytics for Fraud Detection in Company Office Data ↗](https://doi.org/10.3233/faia241581)**Kelsen Diogenes, Sebastian Link
978. **[GraphSem: Robust Multi-Agent Reinforcement Learning via Semantic-Graph Communication ↗](https://doi.org/10.3233/faia251266)**Zaipeng Xie, Yaowu Wang, Sitong Shen et al.
979. **[Group Explainability Through Local Approximation ↗](https://doi.org/10.3233/faia250902)**Mattia Setzu, Riccardo Guidotti, Dino Pedreschi et al.
980. **[Guide the Diffusion: A Guidance Diffusion Approach to Time Series Forecasting ↗](https://doi.org/10.3233/faia251163)**Yihang He, Alkilane Khaled, Der-Horng Lee
981. **[Guided Gaussians: Enhancing 3D Occupancy Estimation with Sparse Sensor Priors ↗](https://doi.org/10.3233/faia250849)**Amer Mustajbasic, Han Fu, Jialu Xu et al.
982. **[H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity ↗](https://doi.org/10.3233/faia251183)**Wei Guo, Siyuan Lu, Yiqi Tong et al.
983. **[HAT-Match: Graph Transformer with Hybrid Attention for Two-View Correspondence Pruning ↗](https://doi.org/10.3233/faia250810)**Gang Wang, Bin Wu, Yufei Chen
984. **[HHAI 2025 ↗](https://doi.org/10.3233/faia408)**
985. **[HI-PMK: A Data-Dependent Kernel for Incomplete Heterogeneous Data Representation ↗](https://doi.org/10.3233/faia251120)**Youran Zhou, Mohamed Reda Bouadjenek, Jonathan R. Wells et al.
986. **[HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems ↗](https://doi.org/10.3233/faia251031)**Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
987. **[HPA-FedGAN: Federated Generative Adversarial Network Based on Hierarchical Prototype Alignment ↗](https://doi.org/10.3233/faia251349)**Zhi-Gang Wang, Xinhao Wang, Shihao Yan et al.
988. **[Harnessing Large Language Models for Efficient Crowd Management in Large-Scale Events ↗](https://doi.org/10.3233/faia251463)**Blerina Spahiu, Marco Cremaschi, Andrea Maurino et al.
989. **[Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors ↗](https://doi.org/10.3233/faia251299)**Nicy Scaria, Silvester John Joseph Kennedy, Diksha Seth et al.
990. **[Hate Speech and Emojis: The Journalist Case ↗](https://doi.org/10.3233/faia250579)**David Larrosa-Camps, Jaume Suau, X. Vilasis-Cardona
991. **[Heterogeneous Facility Location Game with Discrete Utility ↗](https://doi.org/10.3233/faia250951)**Sergio Cabello, Arun Kumar Das, Jan Matyáš Křišťan et al.
992. **[Hierarchical Experts Network-Based Two-Phase Learning for Full-Reference Image Quality Assessment ↗](https://doi.org/10.3233/faia251529)**Heyang Liu, Yuqing Hou
993. **[High-Gain Design of 6×26 Slotted Waveguide Array Antenna for Ku-Band Wave Monitoring RADAR System ↗](https://doi.org/10.3233/faia251553)**Kyeongsik Min, You-Seok Yeoh
994. **[Holistic Analysis on the Sustainability of Federated Learning Lifecycle in Real-World Industrial Settings ↗](https://doi.org/10.3233/faia251470)**Hongliu Cao
995. **[Hot Spots and Evolutionary Trends in Cyber Environment Security in the Age of Artificial Intelligence ↗](https://doi.org/10.3233/faia250187)**Xuemei Jiang, Tingyin Deng, Wenyin Zhang
996. **[How Anonymous Is Anonymous? A Techno-Legal Exploration ↗](https://doi.org/10.3233/faia251589)**Stephanie von Maltzan, Daniel Vogel, Marc Ohm et al.
997. **[How Do Doctors Perceive AI in Their Medical Practice? ↗](https://doi.org/10.3233/faia250684)**Laura Sartori, Chiara Binelli, Francesca Lizzi et al.
998. **[How Good Are We at Assessing the Trustworthiness of LLMs? ↗](https://doi.org/10.3233/faia241509)**Mathilde Smidt, Olivia Figge Anegaard, Anders Søgaard
999. **[How the (Tensor-) Brain Uses Embeddings and Embodiment to Encode Senses and Symbols ↗](https://doi.org/10.3233/faia250200)**Volker Tresp, Hang Li
1000. **[How to Embed Large but Incomplete Knowledge Graphs in the Culture Heritage Sector: Lessons Learned from Odeuropa ↗](https://doi.org/10.3233/faia250205)**Pasquale Lisena, Thibault Ehrhart, Raphaël Troncy A

[← prev](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/9/) [1](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/) … [9](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/9/) **10** [11](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/11/) … [17](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/17/) [next →](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/papers/page/11/)

- [← back to](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/) — Frontiers in artificial intelligence and applications 2025
