Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Correcting sample selection bias by unlabeled data
Learning and evaluating classifiers under sample selection bias
Generalized Adjustment Under Confounding and Selection Biases
Learning from labeled and unlabeled data
Learning from positive and unlabeled data: a survey
Addressing the Curse of Imbalanced Training Sets: One-Sided Selection
Improved Sampling Techniques for Learning an Imbalanced Data Set
Committee-Based Sample Selection for Probabilistic Classifiers
Sample Selection Bias as a Specification Error
Undoing the Damage of Dataset Bias
Tri-training: exploiting unlabeled data using three classifiers
Combating the Small Sample Class Imbalance Problem Using Feature Selection
Hybrid sampling for imbalanced data
Enhancing Supervised Learning with Unlabeled Data
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
Combining labeled and unlabeled data with co-training
Sample size selection in optimization methods for machine learning
Statistical hypothesis testing in positive unlabelled data
Causal Effect Identification by Adjustment under Confounding and Selection Biases.
Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising
Learning Classification with Unlabeled Data
Storytelling with Data: Examining the Use of Data by Non-Profit Organizations
A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning
Antibody engineering via genetic engineering of the mouse: XenoMouse strains are a vehicle for the facile generation of therapeutic human monoclonal antibodies.
Edge Computing Framework for Cooperative Video Processing in Multimedia IoT Systems
Analysis and evaluation of layout density of FinFET logic gates