Summary of Credit Card Fraud Detection: a Deep Learning Approach, by Sourav Verma et al.
Credit Card Fraud Detection: A Deep Learning Approachby Sourav Verma, Joydip DharFirst submitted to arxiv…
Summary of A Preliminary Study on Continual Learning in Computer Vision Using Kolmogorov-arnold Networks, by Alessandro Cacciatore et al.
A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networksby Alessandro Cacciatore, Valerio…
Summary of Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models, by Keyu Chen et al.
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Modelsby Keyu…
Summary of Convlstmtransnet: a Hybrid Deep Learning Approach For Internet Traffic Telemetry, by Sajal Saha et al.
ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetryby Sajal Saha, Saikat Das, Glaucio…
Summary of Relationship Between Uncertainty in Dnns and Adversarial Attacks, by Mabel Ogonna et al.
Relationship between Uncertainty in DNNs and Adversarial Attacksby Mabel Ogonna, Abigail Adeniran, Adewale AdeyemoFirst submitted…
Summary of Time Distributed Deep Learning Models For Purely Exogenous Forecasting. Application to Water Table Depth Prediction Using Weather Image Time Series, by Matteo Salis et al.
Time Distributed Deep Learning models for Purely Exogenous Forecasting. Application to Water Table Depth Prediction…
Summary of Tace: Tumor-aware Counterfactual Explanations, by Eleonora Beatrice Rossi et al.
TACE: Tumor-Aware Counterfactual Explanationsby Eleonora Beatrice Rossi, Eleonora Lopez, Danilo ComminielloFirst submitted to arxiv on:…
Summary of Learning to Compare Hardware Designs For High-level Synthesis, by Yunsheng Bai et al.
Learning to Compare Hardware Designs for High-Level Synthesisby Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian…
Summary of Unrolled Denoising Networks Provably Learn Optimal Bayesian Inference, by Aayush Karan et al.
Unrolled denoising networks provably learn optimal Bayesian inferenceby Aayush Karan, Kulin Shah, Sitan Chen, Yonina…
Summary of Surveying You Only Look Once (yolo) Multispectral Object Detection Advancements, Applications and Challenges, by James E. Gallagher et al.
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challengesby James E.…