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Found 11 papers, 0 papers with code
Automatic Detection of Signalling Behaviour from Assistance Dogs as they Forecast the Onset of Epileptic Seizures in Humans
This work is a step towards automatic alerting of the likely onset of an epileptic seizure from the signalling behaviour of a trained assistance dog.
Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets
We propose a fusion algorithm for haze removal that combines color information from an RGB image and edge information extracted from its corresponding NIR image using Haar wavelets.
Towards Consistent Predictive Confidence through Fitted Ensembles
Furthermore, we present a new strong baseline for more consistent predictive confidence in deep models, called fitted ensembles, where overconfident predictions are rectified by transformed versions of the original classification task.
Parallelized Instantaneous Velocity and Heading Estimation of Objects using Single Imaging Radar
The development of high-resolution imaging radars introduce a plethora of useful applications, particularly in the automotive sector.
Hi-CI: Deep Causal Inference in High Dimensions
The proposed architecture comprises of a decorrelation network and an outcome prediction network.
CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection
Deep neural network based object detection hasbecome the cornerstone of many real-world applications.
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks
Causal inference (CI) in observational studies has received a lot of attention in healthcare, education, ad attribution, policy evaluation, etc.
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
Performing inference on data obtained through observational studies is becoming extremely relevant due to the widespread availability of data in fields such as healthcare, education, retail, etc.
Slim-CNN: A Light-Weight CNN for Face Attribute Prediction
We introduce a computationally-efficient CNN micro-architecture Slim Module to design a lightweight deep neural network Slim-Net for face attribute prediction.
Algorithms and Improved bounds for online learning under finite hypothesis class
The goal of the learner, in both the cases, is to make as few mistakes as that could have been made by most powerful functions in hypothesis class over the entire sequence of questions.
Hyperedge2vec: Distributed Representations for Hyperedges
We present a number of interesting baselines, some of which adapt existing node-level embedding models to the hyperedge-level, as well as sequence based language techniques which are adapted for set structured hypergraph topology.
