LPLSG: Prediction of lncRNA-protein Interaction Based on Local Network Structure

W Wang, Y Wang, B Sun, S Liang, D Liu… - Current …, 2023 - ingentaconnect.com
Background: The interaction between RNA and protein plays an important role in life
activities. Long ncRNAs (lncRNAs) are large non-coding RNAs, and have received …

Beyond point estimate: Inferring ensemble prediction variation from neuron activation strength in recommender systems

Z Chen, Y Wang, D Lin, DZ Cheng, L Hong… - Proceedings of the 14th …, 2021 - dl.acm.org
Despite deep neural network (DNN)'s impressive prediction performance in various
domains, it is well known now that a set of DNN models trained with the same model …

Tourism Destination Recommendation System Using Collaborative Filtering and Modified Neural Network

KE Permana, S Herawati… - … Conference on Neural …, 2023 - atlantis-press.com
Tourism is one of the driving sectors of the national economy. Nowadays, the normal
opening of tourist destinations after COVID-19 pandemic, tourist visits are currently …

PPDTS: Predicting potential drug–target interactions based on network similarity

W Wang, Y Wang, Y Zhang, D Liu, H Zhang… - IET Systems …, 2022 - Wiley Online Library
Identification of drug–target interactions (DTIs) has great practical importance in the drug
discovery process for known diseases. However, only a small proportion of DTIs in these …

Recommendation System For Anime Using Machine Learning Algorithms

A Jena, A Jaiswal, D Lal, S Rao, A Ayubi… - Proceedings of the …, 2022 - papers.ssrn.com
Anime is popular nowadays, particularly among the younger generations. With so many
types of programmes to choose from, this specialized segment of the entertainment business …

Literature review on performance evaluation of recommendation system with different dimensions of metrics

V Ingale, S Ellambotla - Proceedings of the International …, 2022 - papers.ssrn.com
In today's world, recommendation systems assist people in suggesting the greatest item
among the most regularly used goods or the best item with a high level of popularity. The …

Implementation of application prototypes for human-to-computer interactions

N Soujanya, G Sourabha, MR Pooja… - Recent Trends in …, 2023 - taylorfrancis.com
In this increasing age of reduced human-to-human communication, human-to-computer
interaction has a high range in the contactless edible refreshment industry. The work …

Information technology for movie recommendations using neural network methods

Y Kryvenchuk, M Konovalov - 2023 IEEE 18th International …, 2023 - ieeexplore.ieee.org
Movie recommendation systems are software programs that suggest movies to users based
on their viewing history, ratings, and preferences. These systems use algorithms and …

Analyzing and Evaluating post hoc Explanation Methods for Black Box Machine Learning

J Pombra - 2022 - search.proquest.com
Over the past decade, complex tools such as deep learning models have been increasingly
employed in high-stakes domains such as healthcare and criminal justice. Furthermore …

Recommendation system for anime using machine learning algorithms

H Choudhary, S Raghavendra - Recent Trends in Computational … - taylorfrancis.com
These days, many people watch anime, especially the younger generations. With so many
different sorts of programming available, this specialist area of the entertainment industry is …