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Found 12 papers, 4 papers with code
Automated Generation of Accurate & Fluent Medical X-ray Reports
Our paper aims to automate the generation of medical reports from chest X-ray image inputs, a critical yet time-consuming task for radiologists.
Structured factor copulas for modeling the systemic risk of European and United States banks
In this paper, we employ Credit Default Swaps (CDS) to model the joint and conditional distress probabilities of banks in Europe and the U. S. using factor copulas.
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
While pre-trained deep networks on ImageNet and vision-language foundation models trained on web-scale data are prevailing approaches, their effectiveness on medical tasks is limited due to the significant domain shift between natural and medical images.
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
Recent breakthroughs in self-supervised learning (SSL) offer the ability to overcome the lack of labeled training samples by learning feature representations from unlabeled data.
Monitoring the Dynamic Networks of Stock Returns
In this paper, we study the connection between the companies in the Swedish capital market.
Fall detection using multimodal data
In recent years, the occurrence of falls has increased and has had detrimental effects on older adults.
Vector autoregression models with skewness and heavy tails
We propose a general class of generalized hyperbolic skew Student's t distribution with stochastic volatility for the error term in the VAR model that allows us to take into account skewness and heavy tails.
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
Although recent works demonstrate that multi-level matching plays an important role in transferring learned knowledge from seen training classes to novel testing classes, they rely on a static similarity measure and overly fine-grained matching components.
Neural Multi-task Text Normalization and Sanitization with Pointer-Generator
Its generator effectively captures linguistic context during normalization and sanitization while its pointer dynamically preserves the entities that are generally missing in the vocabulary.
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection
In this paper, we formulate a more realistic and difficult problem setup for the intent detection task in natural language understanding, namely Generalized Few-Shot Intent Detection (GFSID).
Question-Answer Selection in User to User Marketplace Conversations
Sellers in user to user marketplaces can be inundated with questions from potential buyers.
Business Process Deviance Mining: Review and Evaluation
Business process deviance refers to the phenomenon whereby a subset of the executions of a business process deviate, in a negative or positive way, with respect to its expected or desirable outcomes.
