Summary of Fanal — Financial Activity News Alerting Language Modeling Framework, by Urjitkumar Patel et al.
FANAL – Financial Activity News Alerting Language Modeling Frameworkby Urjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar,…
Summary of Predicting the Impact Of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques, by Soheila Sadeghi
Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniquesby…
Summary of Forma Mentis Networks Predict Creativity Ratings Of Short Texts Via Interpretable Artificial Intelligence in Human and Gpt-simulated Raters, by Edith Haim et al.
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human…
Summary of Leveraging Semi-supervised Learning to Enhance Data Mining For Image Classification Under Limited Labeled Data, by Aoran Shen et al.
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Databy Aoran…
Summary of Explainable Ai For Classifying Uti Risk Groups Using a Real-world Linked Ehr and Pathology Lab Dataset, by Yujie Dai et al.
Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab…
Summary of Time-series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation Of the State-of-the-art Algorithms, by Mojtaba A. Farahani et al.
Time-Series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation of the State-of-the-art Algorithmsby Mojtaba A.…
Summary of An Automl-based Approach For Network Intrusion Detection, by Nana Kankam Gyimah et al.
An AutoML-based approach for Network Intrusion Detectionby Nana Kankam Gyimah, Judith Mwakalonge, Gurcan Comert, Saidi…
Summary of Exploiting Boosting in Hyperdimensional Computing For Enhanced Reliability in Healthcare, by Sungheon Jeong et al.
Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcareby SungHeon Jeong, Hamza Errahmouni Barkam,…
Summary of Towards a Framework on Tabular Synthetic Data Generation: a Minimalist Approach: Theory, Use Cases, and Limitations, by Yueyang Shen et al.
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and…
Summary of An Oversampling-enhanced Multi-class Imbalanced Classification Framework For Patient Health Status Prediction Using Patient-reported Outcomes, by Yang Yan and Zhong Chen and Cai Xu and Xinglei Shen and Jay Shiao and John Einck and Ronald C Chen and Hao Gao
An Oversampling-enhanced Multi-class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-reported Outcomesby Yang…