Search Results - Adversarially Constrained Autoencoder Interpolation~

Adversarially constrained autoencoder interpolation for prediction of ground motion intensity measures

Authors: Nicolin, Elia Dempsey, David

File Description: application/pdf

Relation: https://hdl.handle.net/10092/101397

Availability: https://hdl.handle.net/10092/101397

Identification of Geochemical Anomalies Using a Memory-Augmented Autoencoder Model with Geological Constraint: Identification of Geochemical Anomalies: Luo, Zhou, Tang, Gong and Liu.

Authors: Luo, Tonghui Zhou, Zhongli Tang, Long et al.

Source: Natural Resources Research; Feb2025, Vol. 34 Issue 1, p23-40, 18p

Subject Terms: MACHINE learning, PROSPECTING, AUTOENCODERS, ORE deposits, EARTH sciences

Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning.

Authors: Li, Guanyue Wei, Xiwen Wu, Si et al.

Source: IEEE MultiMedia; Jul-Sep2022, Vol. 29 Issue 3, p57-68, 12p

Subject Terms: INTERPOLATION spaces, RANDOM variables, DATA distribution, INTERPOLATION

A Robust 3D Fixed-Area Quality Inspection Framework for Production Lines.

Authors: Li, Haijian Hao, Kuangrong Zhuang, Tao et al.

Source: Processes; Oct2025, Vol. 13 Issue 10, p3300, 21p

Subject Terms: POINT cloud, AUTOENCODERS, FEATURE extraction, IMAGE segmentation, DEEP learning, MANUFACTURING processes, INSPECTION & review, ASSEMBLY line methods

AI-Driven Identification of Attack Precursors: A Machine Learning Approach to Predictive Cybersecurity.

Authors: Abdulwahid, Abdulwahid Al

Source: Computers, Materials & Continua; 2025, Vol. 85 Issue 1, p1751-1777, 27p

Subject Terms: MACHINE learning, ANOMALY detection (Computer security), CYBERTERRORISM, ARTIFICIAL intelligence, REAL-time computing, DEEP learning, INTERNET security, HAZARDS

Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments.

Authors: Jabbar, Nadeem Bhatti, Sohail Masood Rashid, Muhammad et al.

Source: PLoS ONE; 7/9/2025, Vol. 19 Issue 7, p1-26, 26p

Subject Terms: ARTIFICIAL intelligence, CONVOLUTIONAL neural networks, DEEPFAKES, SUSTAINABLE development, SMARTPHONES

Self-supervised model pro efektivní rozpoznávání zvuku trénovaný na agregovaných datech ; Self-supervised model for efficient sound recognition trained on aggregated data

Authors: Vojtěch Houska Kovalenko Alexander Kordík Pavel

Contributors: Vojtěch Houska Kovalenko Alexander Kordík Pavel

Subject Terms: slabě anotovaná data, rozpoznávání zvuku, hluboké učení, autoenkodéry, nevyvážená data, učení bez učitele, k-means, Adversarially Constrained Autoencoder Interpolation, Weakly-labeled data, Sound classification, Deep learning, Autoencoders, Imbalanced data, Self-supervised learning

File Description: application/pdf

Relation: http://hdl.handle.net/10467/95039

Availability: http://hdl.handle.net/10467/95039

Applying interpolation-constrained autoencoders to world models approach reinforcement learning

Authors: Kevin Winata Zinovi Rabinovich School of Computer Science and Engineering et al.

Contributors: Kevin Winata Zinovi Rabinovich School of Computer Science and Engineering et al.

Subject Terms: Engineering::Computer science and engineering

File Description: application/pdf

Relation: SCSE20-0486; https://hdl.handle.net/10356/148004

Availability: https://hdl.handle.net/10356/148004

Semi-supervised emotion-driven music generation model based on category-dispersed Gaussian Mixture Variational Autoencoders.

Authors: Ning, Zihao Han, Xiao Pan, Jie

Source: PLoS ONE; 12/30/2024, Vol. 19 Issue 12, p1-23, 23p

Subject Terms: MUSIC & emotions, AUTOENCODERS, EMOTIONS, RHYTHM, MIXTURES, MUSICAL perception

Development of a hybrid model between generative adversarial networks (GANs) and Genetic Algorithms (GA) in apartment layout optimization.

Authors: Pham, Vu Hong Son Nguyen, Duy Hoa Vo, Thi Bich Huyen

Source: Cluster Computing; Feb2026, Vol. 29 Issue 1, p1-14, 14p

Subject Terms: GENERATIVE adversarial networks, GENETIC algorithms, FLOOR plans, MULTI-objective optimization

A Manifold Consistency Interpolation Method of Poisoning Attacks Against Semi-Supervised Model.

Authors: Wang, Xinlei Wang, Xiaojuan He, Mingshu et al.

Source: IEEE Transactions on Information Forensics & Security; 2023, Vol. 18, p5272-5285, 14p

Deep learning for multivariate time series anomaly detection: an evaluation of reconstruction-based methods.

Authors: Yahya, Mohammed A. Moya, Antonio R. Ventura, Sebastián

Source: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-66, 66p

Enhanced U-Net architectures for accurate room impulse response generation via differential-phase learning.

Authors: Martin-Salinas, Ignacio Piñero, Gema Belloch, Jose A. et al.

Source: EURASIP Journal on Audio Speech & Music Processing; 11/17/2025, Vol. 2025 Issue 1, p1-15, 15p

Subject Terms: PHASE estimation (Electronics), DEEP learning, LOSS functions (Statistics), ARCHITECTURAL acoustics, LATENT variables

Generative AI in depth: A survey of recent advances, model variants, and real-world applications.

Authors: Yazdani, Shamim Singh, Akansha Saxena, Nripsuta et al.

Source: Journal of Big Data; 10/8/2025, Vol. 12 Issue 1, p1-43, 43p

Subject Terms: GENERATIVE artificial intelligence, GENERATIVE adversarial networks, PROBABILISTIC generative models, LATENT variables, ETHICAL problems, DEEP learning

Boosting Transferability of Adversarial Examples with Spatio-Temporal Context.

Authors: Wang, Jingtian Li, Xiaolong Ma, Bin et al.

Source: ACM Transactions on Multimedia Computing, Communications & Applications; Oct2025, Vol. 21 Issue 10, p1-22, 22p

Subject Terms: SUCCESS

A Comprehensive Review of Deep Learning Techniques for Anomaly Detection in IoT Networks: Methods, Challenges, and Datasets.

Authors: Morshedi, Roya Matinkhah, S. Mojtaba

Source: Engineering Reports; Sep2025, Vol. 7 Issue 9, p1-29, 29p

Subject Terms: DEEP learning, ANOMALY detection (Computer security), INTERNET of things, DATA libraries, CONVOLUTIONAL neural networks, RECURRENT neural networks, INTERNET security

On the adversarial robustness of generative autoencoders in the latent space.

Authors: Lu, Mingfei Chen, Badong

Source: Neural Computing & Applications; May2024, Vol. 36 Issue 14, p8109-8123, 15p

Subject Terms: COMPRESSED sensing, SIGNALS & signaling, LATENT variables

Advancements in air quality monitoring: a systematic review of IoT-based air quality monitoring and AI technologies.

Authors: Garcia, Antony Saez, Yessica Harris, Itamar et al.

Source: Artificial Intelligence Review; Sep2025, Vol. 58 Issue 9, p1-67, 67p

Deep learning model optimization in creative generation for new media animated ads.

Authors: Kong, Manlu

Source: Discover Artificial Intelligence; 6/9/2025, Vol. 5 Issue 1, p1-26, 26p

Subject Terms: DEEP learning, GENERATIVE adversarial networks, USER experience, CREATIVE ability, TELEVISION advertising, PROBABILISTIC generative models, MATHEMATICAL optimization

Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods.

Authors: You, Zhishui Guo, Yuzhu Zhang, Xiulei et al.

Source: Sensors (14248220); May2025, Vol. 25 Issue 10, p3178, 55p

Subject Terms: GENERATIVE adversarial networks, NATURAL language processing, COMPUTER vision, DECODING algorithms, BRAIN-computer interfaces