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Extending the relational model with constraint satisfaction
(2021-01-01)
We propose a new approach to data driven constraint programming. By extending the relational model to handle constraints and variables as first class citizens, we are able to express first order logic SAT problems using ...
Deep learning approach to discontinuity-preserving image registration
(2020-05-01)
Image registration is an indispensable tool in medical image analysis. Traditionally, registration algorithms are aimed at aligning image pairs using regularizers to impose smoothness restrictions on unknown deformation ...
Characterization of a carbon source-dependent, phytohormone-responsive, free methionine-(R)-sulfoxide reductase from Komagataeibacter hansenii
(2020-05-01)
Komagataeibacter hansenii ATCC 23769 is a gram negative, non-pathogenic, acetic acid bacterium, best known for its ability to produce bacterial cellulose (BC). BC, an extracellular polysaccharide, is an important component ...
Radiation response and optical characterization of carbon based thin-films prepared by saddle field plasma enhanced chemical vapor deposition
(2020-09-01)
Carbon based thin-film materials have been attracting a lot of attention in many research fields due to their unique material properties. Detection of ionizing radiation is an important application that carbon and diamond ...
JoVA-hinge: joint variational autoencoders for personalized recommendation with implicit feedback
(2020-12-01)
Recently, Variational Autoencoders (VAEs) have shown remarkable performance in collaborative filtering (CF) with implicit feedback. These existing recommendation models learn user representations to reconstruct or predict ...
Polymorphic Adversarial DDoS attack on IDS using GAN
(2020-12-01)
IDS are essential components in preventing malicious traffic from penetrating networks. IDS have been rapidly enhancing their detection ability using ML algorithms. As a result, attackers look for new methods to evade the ...
Comparative analysis of deep learning and graph cut algorithms for cell image segmentation
(2020-08-01)
Image segmentation is a commonly used technique in digital image processing with many applications in the area of computer vision and medical image analysis. The goal of image segmentation is to partition an image into ...
Group representation learning for group recommendation
(2021-01-01)
Group recommender systems facilitate group decision making for a set of individuals (e.g., a group of friends, a team, a corporation, etc.). Existing group recommendation methods mostly learn group members' individual ...
Development and comparison of augmented and virtual reality interactions for direct ophthalmoscopy
(2020-10-01)
Direct ophthalmoscopy is a medical procedure whereby a health professional examines the back of the eye, searching for life-threatening risks. The direct ophthalmoscope is used for examining the patient and it requires ...
Simulating a virtual drilling task using audio, visual, and mouse movement cues during the COVID-19 pandemic
(2021-04-01)
This work examined whether a real-world drilling task can be successfully simulated using combinations of appropriate audio, visual cues, and basic haptic stimuli obtained with mouse movements instead of a haptic device. ...