Detecting and classifying lesions in mammograms with Deep Learning

26 Jul 20171 code implementation

In the last two decades Computer Aided Diagnostics (CAD) systems were developed to help radiologists analyze screening mammograms.

BREAST CANCER DETECTION OBJECT DETECTION

Embedding Watermarks into Deep Neural Networks

15 Jan 20171 code implementation

Secondly, we propose a general framework to embed a watermark into model parameters using a parameter regularizer.

Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features

16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018) 2018 1 code implementation

A Zero-shot learning algorithm is capable of handling unseen classes, provided the algorithm has been fortified with rich discriminating features and reliable “attribute description” per class during training.

LANGUAGE MODELLING OPTICAL CHARACTER RECOGNITION ZERO-SHOT LEARNING

Edge-Informed Single Image Super-Resolution

11 Sep 20191 code implementation

We use a two-stage inpainting model as a baseline for super-resolution and show its effectiveness for different scale factors (x2, x4, x8) compared to basic interpolation schemes.

IMAGE INPAINTING IMAGE SUPER-RESOLUTION

Deep Learning for Deepfakes Creation and Detection

25 Sep 20191 code implementation

By reviewing the background of deepfakes and state-of-the-art deepfake detection methods, this study provides a comprehensive overview of deepfake techniques and facilitates the development of new and more robust methods to deal with the increasingly challenging deepfakes.

DEEPFAKE DETECTION FACE SWAPPING

A Comparative Measurement Study of Deep Learning as a Service Framework

29 Oct 20181 code implementation

Big data powered Deep Learning (DL) and its applications have blossomed in recent years, fueled by three technological trends: a large amount of digitized data openly accessible, a growing number of DL software frameworks in open source and commercial markets, and a selection of affordable parallel computing hardware devices.

Predictive analysis of Bitcoin price considering social sentiments

16 Jan 20201 code implementation

We report on the use of sentiment analysis on news and social media to analyze and predict the price of Bitcoin.

SENTIMENT ANALYSIS

A Hardware Friendly Unsupervised Memristive Neural Network with Weight Sharing Mechanism

1 Jan 20191 code implementation

Memristive neural networks (MNNs), which use memristors as neurons or synapses, have become a hot research topic recently.

XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference

9 Jul 20181 code implementation

Binary Neural Networks (BNNs) are promising to deliver accuracy comparable to conventional deep neural networks at a fraction of the cost in terms of memory and energy.