Search Results for author:
Found 17 papers, 5 papers with code
The Validity of a Machine Learning-Based Video Game in the Objective Screening of Attention Deficit Hyperactivity Disorder in Children Aged 5 to 12 Years
This study aimed to validate a video game (FishFinder) for the screening of ADHD using objective measurement of the core symptoms of this disorder.
Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game
In this paper, we propose a continuous RL-based DDA methodology for a visual working memory (VWM) game to handle the complex search space for the difficulty of memorization.
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
Many Graph Neural Networks (GNNs) are proposed for Knowledge Graph Embedding (KGE).
Fast Online and Relational Tracking
In this paper, a method for measuring camera motion and removing its effect is presented that efficiently reduces the camera motion effect on tracking.
Designing a Sequential Recommendation System for Heterogeneous Interactions Using Transformers
In this work, by converting each user's interactions with items into a series of events and basing our architecture on Transformers, we try to enable the use of such a model that takes different types of events into account.
Automatic Speech Recognition for Speech Assessment of Persian Preschool Children
To overcome this issue, we added a new objective to the masking objective of the Wav2Vec 2. 0 model called Random Frequency Pitch (RFP).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
Notably, we yield our promising results with a significant reduction of 66. 9% in the dimensionality of embeddings compared to the five best recent state-of-the-art competitors on average.
Ranked #16 on
Link Prediction
on FB15k-237
TEASEL: A Transformer-Based Speech-Prefixed Language Model
This method exploits a conventional pre-trained language model as a cross-modal Transformer model.
Ranked #3 on
Multimodal Sentiment Analysis
on CMU-MOSI
(using extra training data)
An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods
One of the main challenges in recommender systems is data sparsity which leads to high variance.
Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration
A viewing graph is a set of unknown camera poses, as the vertices, and the observed relative motions, as the edges.
A Framework for Multi-View Classification of Features
In this research, an innovative framework for multi-view ensemble classification, inspired by the problem of object recognition in the multiple views theory of humans, is proposed.
Optimal Triangulation Method is Not Really Optimal
Therefore, in contrast to the common practice, we argue that the simple mid-point method should be used in structure-from-motion applications where there is uncertainty in camera parameters.
Learning with partially separable data
In this study, we propose a framework for the classification of partially separable data types that are not classifiable using typical methods.
Simple online and real-time tracking with occlusion handling
In contrast, there are algorithms that only use motion cues to increase speed, especially for online applications.
Crossbreeding in Random Forest
Ensemble learning methods are designed to benefit from multiple learning algorithms for better predictive performance.
Correlation between Air and Urban Travelling with New Confirmed Cases of COVID-19 A Case Study
The data is used to train a regression model and voting was used to show the highest correlation between travels made between cities and new cases of COVID-19.
SLTR: Simultaneous Localization of Target and Reflector in NLOS Condition Using Beacons
When the direct view between the target and the observer is not available, due to obstacles with non-zero sizes, the observation is received after reflection from a reflector, this is the indirect view or Non-Line-Of Sight condition.
