Constructive Approach
Constructive approaches in machine learning focus on building models and algorithms to solve specific problems, often by integrating diverse data sources and leveraging pre-trained models for efficiency. Current research emphasizes the use of deep learning architectures, including convolutional neural networks and transformers, alongside techniques like ensemble learning, transfer learning, and meta-learning, to improve model performance and interpretability across various domains. These approaches are proving valuable in diverse applications, ranging from medical image analysis and fake news detection to robotics and space mission planning, demonstrating the broad impact of constructive methodologies on scientific advancement and practical problem-solving.
Papers - Page 4
BD Currency Detection: A CNN Based Approach with Mobile App Integration
Syed Jubayer Jaman, Md. Zahurul Haque, Md Robiul Islam, Usama Abdun NoorManarat International UniversityFrom underwater to aerial: a novel multi-scale knowledge distillation approach for coral reef monitoring
Matteo Contini, Victor Illien, Julien Barde, Sylvain Poulain, Serge Bernard, Alexis Joly, Sylvain Bonhommeau
Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards
Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek DubeyVanderbilt University●Nissan Advanced Technology Center - Silicon ValleySurvey on Strategic Mining in Blockchain: A Reinforcement Learning Approach
Jichen Li, Lijia Xie, Hanting Huang, Bo Zhou, Binfeng Song, Wanying Zeng, Xiaotie Deng, Xiao ZhangZhongguancun Laboratory●Peking University●Beihang University●Hangzhou International Innovation Institute of Beihang UniversityMaking LLMs Reason? The Intermediate Language Problem in Neurosymbolic Approaches
Alexander Beiser, David PenzTUWienData Analysis Prediction over Multiple Unseen Datasets: A Vector Embedding Approach
Andreas Loizou, Dimitrios TsoumakosNational Technical University of AthensNoise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising
Xiangbin WeiUnknown
PLS-based approach for fair representation learning
Elena M. De-Diego, Adrián Perez-Suay, Paula Gordaliza, Jean-Michel LoubesUniversidad de Navarra●Universitat de València●Universidad Pública de Navarra●INRIAIntegrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Reality
Iago Alves Brito, Julia Soares Dollis, Fernanda Bufon Färber, Pedro Schindler Freire Brasil Ribeiro, Rafael Teixeira Sousa, Arlindo Rodrigues Galvão Filho
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models
Yuchen Jiang, Xinyuan Zhao, Yihang Wu, Ahmad ChaddadDimension-free bounds in high-dimensional linear regression via error-in-operator approach
Fedor Noskov, Nikita Puchkin, Vladimir SpokoinyRussian Federation●GermanyA Training-free LLM-based Approach to General Chinese Character Error Correction
Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, Min ZhangSoochow University●Alibaba Group
A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection
Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui PanGriffith University●Monash University●The University of AdelaideBoundPlanner: A convex-set-based approach to bounded manipulator trajectory planning
Thies Oelerich, Christian Hartl-Nesic, Florian Beck, Andreas KugiTU Wien●AIT Austrian Institute of Technology GmbHImproving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization
Priyaranjan Pattnayak, Hitesh Laxmichand Patel, Amit Agarwal, Bhargava Kumar, Srikant Panda, Tejaswini KumarUniversity of Washington●New York University●Liverpool John Moores University●Birla Institute of Technology●Columbia UniversityMultilingual European Language Models: Benchmarking Approaches and Challenges
Fabio Barth, Georg RehmDFKI GmbH●Humboldt-Universität zu BerlinAutomating Prompt Leakage Attacks on Large Language Models Using Agentic Approach
Tvrtko Sternak, Davor Runje, Dorian Granoša, Chi WangUniversity of Zagreb●SplxAI●Google DeepMindHypernetwork-based approach for optimal composition design in partially controlled multi-agent systems
Kyeonghyeon Park, David Molina Concha, Hyun-Rok Lee, Chi-Guhn Lee, Taesik LeeKorea Advanced Institute of Science and Technology●University of Toronto●Inha University