Daniel Ramos

1. Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
   2022/07/31 by Sergio A. Balanya, Balanya, Sergio A., Juan Maroñas +3 · 6 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
2. Adaptive temperature scaling for Robust calibration of deep neural networks
   2024/02/28 by Sergio A. Balanya, Juan Maroñas, Daniel Ramos · 4 citations
3. Are Large Language Models Memorizing Bug Benchmarks?
   2024/11/20 by Daniel Ramos, Claudia Mamede, Cláudia Mamede +10 · 1 voice · 2 citations
   Computer Science · #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling #cs.AI #cs.LG #cs.SE
4. Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration
   2024/08/05 by Luciana Ferrer, Ferrer, Luciana, Daniel Ramos +1 · 2 citations
   Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML)