New Framework
Recent research focuses on developing versatile frameworks for various tasks, primarily aiming to improve efficiency, reproducibility, and accessibility within their respective domains. These frameworks leverage diverse techniques, including programmatic data generation for LLMs, deep learning architectures for image and audio processing, and reinforcement learning for optimization and automated testing. The resulting advancements enhance the development and evaluation of AI models, improve the reliability of benchmarking processes, and offer new tools for diverse applications ranging from healthcare diagnostics to autonomous vehicle navigation.
Papers
GitRank: A Framework to Rank GitHub Repositories
Niranjan Hasabnis
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
Ankan Mullick, Sukannya Purkayastha, Pawan Goyal, Niloy Ganguly
Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing
Ravi Kumar, Shahin Boluki, Karl Isler, Jonas Rauch, Darius Walczak
A Framework for Constructing Machine Learning Models with Feature Set Optimisation for Evapotranspiration Partitioning
Adam Stapleton, Elke Eichelmann, Mark Roantree
Framework for Behavioral Disorder Detection Using Machine Learning and Application of Virtual Cognitive Behavioral Therapy in COVID-19 Pandemic
Tasnim Niger, Hasanur Rayhan, Rashidul Islam, Kazi Asif Abdullah Noor, Kamrul Hasan
A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets
Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
Deep learning framework for robot for person detection and tracking
Adarsh Ghimire, Xiaoxiong Zhang, Naoufel Werghi, Sajid Javed, Jorge Dias
AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy
Raphael Petegrosso, Vasistakrishna Baderdinni, Thibaud Senechal, Benjamin L. Bullough
A dynamical systems based framework for dimension reduction
Ryeongkyung Yoon, Braxton Osting
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang