research
∙
08/11/2023
Topic-Level Bayesian Surprise and Serendipity for Recommender Systems
A recommender system that optimizes its recommendations solely to fit a ...
share
research
∙
04/17/2023
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices
Many cloud applications are migrated from the monolithic model to a micr...
research
∙
03/06/2021
Changing the Narrative Perspective: From Deictic to Anaphoric Point of View
We introduce the task of changing the narrative point of view, where cha...
research
∙
11/05/2020
Mining Functionally Related Genes with Semi-Supervised Learning
The study of biological processes can greatly benefit from tools that au...
research
∙
11/05/2020
From Note-Level to Chord-Level Neural Network Models for Voice Separation in Symbolic Music
Music is often experienced as a progression of concurrent streams of not...
research
∙
09/13/2019
Distributed representation of patients and its use for medical cost prediction
Efficient representation of patients is very important in the healthcare...
research
∙
06/07/2019
Figure Captioning with Reasoning and Sequence-Level Training
Figures, such as bar charts, pie charts, and line plots, are widely used...
research
∙
05/01/2019
Context-Dependent Semantic Parsing over Temporally Structured Data
We describe a new semantic parsing setting that allows users to query th...
research
∙
10/22/2018
Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music
We present a new approach to harmonic analysis that is trained to segmen...
research
∙
09/22/2018
Galaxy morphology prediction using capsule networks
Understanding morphological types of galaxies is a key parameter for stu...
research
∙
12/11/2017
