Maytal Saar‐Tsechansky

9편

• A Machine Learning Framework for Assessing Experts’ Decision Quality
  ms · 2024 · 인용 4 · Forecasting Techniques and Applications
• Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II
  msom · 2023 · 인용 17 · Health Systems, Economic Evaluations, Quality of Life
• Algorithmic fairness in business analytics: Directions for research and practice
  pom · 2022 · 인용 69 · Ethics and Social Impacts of AI
• Who Is a Better Decision Maker? Data‐Driven Expert Ranking Under Unobserved Quality
  pom · 2020 · 인용 18 · Mobile Crowdsensing and Crowdsourcing
• Using Retweets When Shaping Our Online Persona: Topic Modeling Approach
  misq · 2019 · 인용 71 · Persona Design and Applications
• The Right Music at the Right Time: Adaptive Personalized Playlists Based on Sequence Modeling
  misq · 2019 · 인용 55 · Music and Audio Processing
• Editor’s comments: the business of business data science in IS journals
  misq · 2015 · 인용 12 · Big Data and Business Intelligence
• Active Feature-Value Acquisition
  ms · 2009 · 인용 111 · Machine Learning and Algorithms
• Decision-Centric Active Learning of Binary-Outcome Models
  isr · 2007 · 인용 64 · Machine Learning and Algorithms