Search Results for author:
Found 27 papers, 3 papers with code
Unsupervised Iterative U-Net with an Internal Guidance Layer for Vertebrae Contrast Enhancement in Chest X-Ray Images
This innovative approach has the potential to significantly enhance the diagnostic accuracy and early detection of diseases, making it a promising advancement in X-ray imaging technology.
PathRTM: Real-time prediction of KI-67 and tumor-infiltrated lymphocytes
The method also enables estimation of cell sizes of interest, which was previously unavailable, through the bounding box predictions.
Edge2Vec: A High Quality Embedding for the Jigsaw Puzzle Problem
Pairwise compatibility measure (CM) is a key component in solving the jigsaw puzzle problem (JPP) and many of its recently proposed variants.
Gator: Customizable Channel Pruning of Neural Networks with Gating
The rise of neural network (NN) applications has prompted an increased interest in compression, with a particular focus on channel pruning, which does not require any additional hardware.
TEN: Twin Embedding Networks for the Jigsaw Puzzle Problem with Eroded Boundaries
This paper introduces the novel CNN-based encoder Twin Embedding Network (TEN), for the jigsaw puzzle problem (JPP), which represents a puzzle piece with respect to its boundary in a latent embedding space.
Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data
The best way to extract or steal knowledge from such networks is by querying them using a large dataset of random samples and recording their output, followed by training a student network to mimic these outputs, without making any assumption about the original networks.
DeepEthnic: Multi-Label Ethnic Classification from Face Images
Ethnic group classification is a well-researched problem, which has been pursued mainly during the past two decades via traditional approaches of image processing and machine learning.
A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels
Specifically, we introduce an enhanced GA-based puzzle solver, whose integration with a novel DL-based compatibility measure (DLCM) yields state-of-the-art performance, regarding the above application.
Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks
Handwriting-based gender classification is a well-researched problem that has been approached mainly by traditional machine learning techniques.
Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images
In recent years, large datasets of high-resolution mammalian neural images have become available, which has prompted active research on the analysis of gene expression data.
Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data
Training a deep neural network for classification constitutes a major problem in remote sensing due to the lack of adequate field data.
DeepMimic: Mentor-Student Unlabeled Data Based Training
In addition, the time required for training the student model to reach the mentor's performance level is shorter, as a result of a simplified architecture and more available data.
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess
We present an end-to-end learning method for chess, relying on deep neural networks.
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders
This paper presents a novel deep learning-based method for learning a functional representation of mammalian neural images.
DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem
This paper introduces the first deep neural network-based estimation metric for the jigsaw puzzle problem.
DeepPainter: Painter Classification Using Deep Convolutional Autoencoders
In this paper we describe the problem of painter classification, and propose a novel approach based on deep convolutional autoencoder neural networks.
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification
While conventional signature and token based methods for malware detection do not detect a majority of new variants for existing malware, the results presented in this paper show that signatures generated by the DBN allow for an accurate classification of new malware variants.
Genetic Algorithms for Evolving Computer Chess Programs
The evaluation function of the program is evolved by learning from databases of (human) grandmaster games.
Expert-Driven Genetic Algorithms for Simulating Evaluation Functions
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function's parameters for computer chess.
Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions
This paper demonstrates the use of genetic algorithms for evolving a grandmaster-level evaluation function for a chess program.
Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function's parameters for computer chess.
An Automatic Solver for Very Large Jigsaw Puzzles Using Genetic Algorithms
In this paper we propose the first effective genetic algorithm (GA)-based jigsaw puzzle solver.
A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types
In this paper we introduce new types of square-piece jigsaw puzzles, where in addition to the unknown location and orientation of each piece, a piece might also need to be flipped.
A Two-Phase Genetic Algorithm for Image Registration
The goal is to search for the "optimal" instance of the transformation model assumed with respect to a similarity measure in question.
A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles
In this paper we propose the first effective automated, genetic algorithm (GA)-based jigsaw puzzle solver.
Image Registration of Very Large Images via Genetic Programming
Image registration (IR) is a fundamental task in image processing for matching two or more images of the same scene taken at different times, from different viewpoints and/or by different sensors.
Genetic Algorithm-Based Solver for Very Large Multiple Jigsaw Puzzles of Unknown Dimensions and Piece Orientation
In this paper we propose the first genetic algorithm (GA)-based solver for jigsaw puzzles of unknown puzzle dimensions and unknown piece location and orientation.
