Rezultati pretrage - "generative model"

Image and Video Processing and Recognition Based on Artificial Intelligence

Teme: “…generative models…”
DOAB: download the publication
DOAB: description of the publication

PEMBELAJARAN MODEL GENERATIF UNTUK MENINGKATKAN KEMAMPUAN KOMUNIKASI MATEMATIS SISWA SMP od Ningsih, Wahyu

Link Metadata

De Novo Molecular Design of Caspase-6 Inhibitors by a GRU-Based Recurrent Neural Network Combined with a Transfer Learning Approach od Shuheng Huang, Hu Mei, Laichun Lu, Minyao Qiu, Xiaoqi Liang, Lei Xu, Zuyin Kuang, Yu Heng, Xianchao Pan

Connect to this object online.

Dynamic Community Detection for Brain Functional Networks During Music Listening With Block Component Analysis od Yongjie Zhu, Jia Liu, Fengyu Cong

Connect to this object online.

AI-assisted literature exploration of innovative Chinese medicine formulas od Meng-Chi Chung, Li-Jen Su, Li-Jen Su, Li-Jen Su, Li-Jen Su, Li-Jen Su, Chien-Lin Chen, Chien-Lin Chen, Chien-Lin Chen, Li-Ching Wu, Li-Ching Wu

Connect to this object online.

PENGEMBANGAN MODEL GENERATIF BERBASIS KECERDASAN LINGUISTIK PENGEMBANGAN MODEL GENERATIF BERBASIS KECERDASAN LINGUISTIK DALAM PEMBELAJARAN MENULIS TEKS EKSPLANASI od Arni, -

Link Metadata

Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms od Geiger, Andreas

DOAB: download the publication
DOAB: description of the publication

Generative Adversarial Networks and Its Applications in Biomedical Informatics od Lan Lan, Lei You, Zeyang Zhang, Zhiwei Fan, Weiling Zhao, Nianyin Zeng, Yidong Chen, Xiaobo Zhou

Connect to this object online.

Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders od Rim Shayakhmetov, Maksim Kuznetsov, Alexander Zhebrak, Artur Kadurin, Sergey Nikolenko, Sergey Nikolenko, Alexander Aliper, Daniil Polykovskiy

Connect to this object online.

Drug Properties Prediction Based on Deep Learning od Soyoung Yoo, Junghyun Kim, Guang J. Choi

Connect to this object online.

Multi-Objective Drug Design Based on Graph-Fragment Molecular Representation and Deep Evolutionary Learning od Muhetaer Mukaidaisi, Andrew Vu, Karl Grantham, Alain Tchagang, Yifeng Li

Connect to this object online.

A novel Bayesian generative approach for estimating tumor dynamics from published studies od Arya Pourzanjani, Saurabh Modi, Jamie Connarn, Xinwen Zhang, Vijay Upreti, Chih‐Wei Lin, Khamir Mehta

Connect to this object online.

Computational drug discovery on human immunodeficiency virus with a customized long short‐term memory variational autoencoder deep‐learning architecture od Mucahit Kutsal, Ferhat Ucar, Nida Kati

Connect to this object online.

ChatGPT: A catalyst for evolutionary change in language learning experience / Siti Nurshafezan Ahmad od Ahmad, Siti Nurshafezan

Link Metadata

Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints od Mario Lovrić, Tomislav Đuričić, Han T. N. Tran, Hussain Hussain, Emanuel Lacić, Morten A. Rasmussen, Roman Kern

Connect to this object online.

An Auxiliary Synthesis Framework for Enhancing EEG-Based Classification With Limited Data od Sui Liang, Shaolong Kuang, Deheng Wang, Zhaohua Yuan, Hongmiao Zhang, Lining Sun

Connect to this object online.

Chapter Students' feedback on the digital ecosystem: a structural topic modeling approach od Evangelista, Adelia

DOAB: download the publication
DOAB: description of the publication

Therapeutic touch and therapeutic alliance in pediatric care and neonatology: An active inference framework od Zoe McParlin, Francesco Cerritelli, Andrea Manzotti, Andrea Manzotti, Andrea Manzotti, Karl J Friston, Jorge E Esteves, Jorge E Esteves, Jorge E Esteves

Connect to this object online.

Characterising Eye Movement Events With an Unsupervised Hidden Markov Model od Malte Lüken, Šimon Kucharský, Ingmar Visser

Connect to this object online.

Feasibility of Physics Teaching Materials With Qur'an Using Generative Learning Model on Sound Waves od Muhammad Lutfi, Zainuddin Zainuddin, Eko Susilowati

Connect to this object online.