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Found 8 papers, 0 papers with code
Threshold distribution of equal states for quantitative amplitude fluctuations
Synthetic signals and detrend-filtered sleep EEGs have no neighboring equal values; however, tDES can effectively measure the amplitude fluctuations within these data.
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities
However, joint utilization of both BUS and EUS is not popular due to the lack of EUS devices in rural hospitals, which arouses a novel modality im-balance problem in computer-aided diagnosis (CAD) for breast cancers.
On the Equilibrium of Query Reformulation and Document Retrieval
In this paper, we study jointly query reformulation and document relevance estimation, the two essential aspects of information retrieval (IR).
Differentially Private Neighborhood-based Recommender Systems
We also compare our solutions to the recent differentially private matrix factorization (MF) recommender systems, and show that our solutions achieve better accuracy when the privacy budget is reasonably small.
A Term-Based Methodology for Query Reformulation Understanding
Key to any research involving session search is the understanding of how a user's queries evolve throughout the session.
Dynamic Information Retrieval: Theoretical Framework and Application
Theoretical frameworks like the Probability Ranking Principle and its more recent Interactive Information Retrieval variant have guided the development of ranking and retrieval algorithms for decades, yet they are not capable of helping us model problems in Dynamic Information Retrieval which exhibit the following three properties; an observable user signal, retrieval over multiple stages and an overall search intent.
A Theoretical Analysis of Two-Stage Recommendation for Cold-Start Collaborative Filtering
In this paper, we present a theoretical framework for tackling the cold-start collaborative filtering problem, where unknown targets (items or users) keep coming to the system, and there is a limited number of resources (users or items) that can be allocated and related to them.
An Empirical Study on Display Ad Impression Viewability Measurements
Display advertising normally charges advertisers for every single ad impression.
