List of works - Yashar Deldjoo

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)

scientific article published on 25 August 2024

A low-cost infrared-optical head tracking solution for virtual 3D audio environment using the Nintendo Wii-remote

A novel fuzzy-based smoke detection system using dynamic and static smoke features

Application of connected dominating sets in wildfire detection based on wireless sensor networks

scholarly article by Saman Tahouri et al published 2015 in International Journal of Information Technology, Communications and Convergence

Audio-visual encoding of multimedia content for enhancing movie recommendations

scholarly article published 2018

Content-Based Video Recommendation System Based on Stylistic Visual Features

scholarly article by Yashar Deldjoo et al published 11 February 2016 in Journal on Data Semantics

Current challenges and visions in music recommender systems research

scholarly article by Markus Schedl et al published 5 April 2018 in International journal of multimedia information retrieval

Exploring the Semantic Gap for Movie Recommendations

scholarly article published 2017

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?

ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids

scientific article published in 2021

Interactive Question Answering Systems: Literature Review

scientific article published on 11 April 2024

Is it the sparsity or collaborativeness that makes a visual tracker strong?

MMTF-14K

Multimedia recommender systems

scholarly article published 2018

Next Generation Indexing for Genomic Intervals

article

RecSys Challenge 2017

scholarly article published 2017

Recommending Movies Based on Mise-en-Scene Design

scholarly article published 2016

Session-based Hotel Recommendations Dataset

scientific article published on 24 November 2020

The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN)

scientific article published on 08 October 2024

The effect of different video summarization models on the quality of video recommendation based on low-level visual features

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features

article

Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles

article

Using visual features based on MPEG-7 and deep learning for movie recommendation

scholarly article by Yashar Deldjoo et al published 14 June 2018 in International journal of multimedia information retrieval

List of works by Yashar Deldjoo

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)

A low-cost infrared-optical head tracking solution for virtual 3D audio environment using the Nintendo Wii-remote

A novel fuzzy-based smoke detection system using dynamic and static smoke features

Application of connected dominating sets in wildfire detection based on wireless sensor networks

Audio-visual encoding of multimedia content for enhancing movie recommendations

Content-Based Video Recommendation System Based on Stylistic Visual Features

Current challenges and visions in music recommender systems research

Exploring the Semantic Gap for Movie Recommendations

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?

ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids

Interactive Question Answering Systems: Literature Review

Is it the sparsity or collaborativeness that makes a visual tracker strong?

MMTF-14K

Multimedia recommender systems

Next Generation Indexing for Genomic Intervals

RecSys Challenge 2017

Recommending Movies Based on Mise-en-Scene Design

Session-based Hotel Recommendations Dataset

The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN)

The effect of different video summarization models on the quality of video recommendation based on low-level visual features

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features

Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles

Using visual features based on MPEG-7 and deep learning for movie recommendation

Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling