Search Results for author:
Found 9 papers, 4 papers with code
Dual input stream transformer for vertical drift correction in eye-tracking reading data
We introduce a novel Dual Input Stream Transformer (DIST) for the challenging problem of assigning fixation points from eye-tracking data collected during passage reading to the line of text that the reader was actually focused on.
CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition
Using a large multilingual audio corpus and self-supervised learning, CLARA develops speech representations enriched with emotions, advancing emotion-aware multilingual speech processing.
Sexing Caucasian 2D footprints using convolutional neural networks
Footprints are left, or obtained, in a variety of scenarios from crime scenes to anthropological investigations.
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease
Since the outbreak of Coronavirus Disease 2019 (COVID-19), most of the impacted patients have been diagnosed with high fever, dry cough, and soar throat leading to severe pneumonia.
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification
In recent years deep neural networks have become the workhorse of computer vision.
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems
The exponential growth of volume, variety and velocity of data is raising the need for investigations of automated or semi-automated ways to extract useful patterns from the data.
Do readers use character information when programming return-sweep saccades?
In this study, we tested whether return-sweep saccades are also guided by font size information and whether this guidance depends on visual acuity of the return-sweep target area.
Simulation and Augmentation of Social Networks for Building Deep Learning Models
Also, the majority of the available social network datasets do not contain both the features and ground truth labels.
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA
In a range of extensive experiments, three different optimization strategies are used to automatically compose MCPSs for 21 publicly available data sets.
