Most Recent Additions*
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
Guangyi Chen, Zhenhao Chen, Shunxing Fan, and Kun Zhang
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
Eduard Gorbunov, Adrien Taylor, Samuel Horváth, and Gauthier Gidel
Algorithms for Euclidean-Regularised Optimal Transport
Dmitry A. Pasechnyuk, Michael Persiianov, Pavel Dvurechensky, and Alexander Gasnikov
HACER: An Integrated Remote Monitoring Platform for the Elderly
Siwar Ben Ammar, Thanh Cong Ho, Fakhri Karray, and Wail Gueaieb
Socially-Aware Green Distributed Metaverse for Wireless Systems
Latif U. Khan and Mohsen Guizani
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation
Siwei Liu, Xi Wang, Craig Macdonald, and Iadh Ounis
Securing Federated Learning against FGSM Attacks with Adaptive Trust Scores and Blockchain Updates
Ammar Kamal Abasi, Neveen Mohammad Hijazi, Moayad Aloqaily, and Mohsen guizani
Assigning Topics to Documents by Successive Projections
Olga Klopp, Maxim Panov, Suzanne Sigalla, and Alexandre B. Tsybakov
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data
Rundong He, Zhongyi Han, Xiankai Lu, and Yilong Yin
BIAS: Bridging Inactive and Active Samples for active source free domain adaptation
Fan Wang, Zhongyi Han, and Yilong Yin
Frank at CheckThat! 2023: Detecting the Political Bias of News Articles and News Media Notebook for the CheckThat! Lab at CLEF 2023
Dilshod Azizov, Preslav Nakov, and Shangsong Liang
Evaluation of Deep Learning Models in ITS Software-Defined Intrusion Detection Systems
Himanshi Babbar, Ouns Bouachir, Shalli Rani, and Moayad Aloqaily
AI-based Sensor Attack Detection and Classification for Autonomous Vehicles in 6G-V2X Environment
Mubeena Begum, Gunasekaran Raja, and Mohsen Guizani
LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection
Yue Yuan, Rundong He, Zhongyi Han, and Yilong Yin
Medical image super-resolution for smart healthcare applications: A comprehensive survey
Sabina Umirzakova, Shabir Ahmad, Latif U. Khan, and Taegkeun Whangbo
Deep Federated Learning for IoT to Improve Healthcare Operations
Haya Elayan, Moayad Aloqaily, and Mohsen Guizani
Edge-Boss: A Resource Optimization Framework at the Edge
Venkatraman Balasubramanian, Moayad Aloqaily, and Mohsen Guizani
Guest Editorial Digital Twins for Mobile Networks-Part II
Shahid Mumtaz, Soumaya Cherkaoui, Mohsen Guizani, Joel J.P.C. Rodrigues, Abdulmotaleb El Saddik, Sabita Maharjan, Yang Xiao, and Ikram Ashraf
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, and Peter Richtárik
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions
Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, and Dacheng Tao
*Updated as of 07/26/24.