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Found 12 papers, 2 papers with code
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs
As a result, Detect2Interact achieves consistent qualitative results on object key field detection across extensive test cases and outperforms the existing VQA system with object detection by providing a more reasonable and finer visual representation.
Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning
Furthermore, the representation process for clustering is enhanced through spectral clustering, and the consistency across multiple views is improved.
Cross-View Graph Consistency Learning for Invariant Graph Representations
In this paper, we propose a cross-view graph consistency learning (CGCL) method that learns invariant graph representations for link prediction.
CosmosDSR -- a methodology for automated detection and tracking of orbital debris using the Unscented Kalman Filter
The current study is limited to images generated in a space simulation environment, but the CosmosDSR methodology shows great potential in detecting and tracking satellites, paving the way for solutions to the Kessler syndrome.
Overview of Human Activity Recognition Using Sensor Data
Human activity recognition (HAR) is an essential research field that has been used in different applications including home and workplace automation, security and surveillance as well as healthcare.
Deep Multiview Clustering by Contrasting Cluster Assignments
Then, a cluster-level CVCL strategy is presented to explore consistent semantic label information among the multiple views in the fine-tuning stage.
Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer
Unraveling this variation will bring about improved in staging and treatment outcome, hence motivated by the advancement of Deep Neural Network libraries and different structures and factors within some genomic dataset, we aggregate atypical patterns in histopathological images with diverse carcinogenic expression from mRNA, miRNA and DNA Methylation as an integrative input source into an ensemble deep neural network for colon cancer stages classification and samples stratification into low or high risk survival groups.
Predicting Sleeping Quality using Convolutional Neural Networks
Identifying sleep stages and patterns is an essential part of diagnosing and treating sleep disorders.
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
We collect a data set of psychiatric observations of patients based on DSM-5 criteria.
Flood Prediction and Analysis on the Relevance of Features using Explainable Artificial Intelligence
The obtained results have confirmed the validity of the findings uncovered by the explainer modules basing on the historical flood monthly rainfall data in Kerala.
Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife?
With the global issue of plastic debris ever expanding, it is about time that the technology industry stepped in.
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework
Providing early diagnosis of cerebral palsy (CP) is key to enhancing the developmental outcomes for those affected.
