Sakai, Tomoya

1. Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
   2016/03/10 by Gang Niu, Marthinus Christoffel du Plessis, Niu, Gang +7 · 6 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
2. Do We Need Zero Training Loss After Achieving Zero Training Error?
   2020/02/20 by Takashi Ishida, Ikko Yamane, Ishida, Takashi +7 · 8 citations
   Computer Science · Health Professions · Psychology · #FOS: Computer and information sciences #Human Resource Development and Performance Evaluation #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quality and Safety in Healthcare #Smart Systems and Machine Learning
3. Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data
   2016/05/23 by Tomoya Sakai, Sakai, Tomoya, Marthinus Christoffel du Plessis +5 · 4 citations
   Computer Science · Mathematics · #Advanced Statistical Methods and Models #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
4. TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis
   2025/05/19 by Ekambaram, Vijay, Kumar, Subodh, Jati, Arindam +5 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)