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03/04/2023
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification
Deep neural network (DNN) models for retinopathy have estimated predicti...
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02/20/2023
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification
Whole Slide Images (WSIs) or histopathology images are used in digital p...
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12/20/2022
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning
Deep neural networks (DNN) are prone to miscalibrated predictions, often...
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09/19/2022
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces
Analogical Reasoning problems challenge both connectionist and symbolic ...
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06/18/2022
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches
Machine Learning has become an integral part of engineering design and d...
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06/01/2022
Composition of Relational Features with an Application to Explaining Black-Box Predictors
Relational machine learning programs like those developed in Inductive L...
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11/19/2021
Solving Visual Analogies Using Neural Algorithmic Reasoning
We consider a class of visual analogical reasoning problems that involve...
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10/19/2021
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems
The ability to recognise and make analogies is often used as a measure o...
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07/21/2021
How to Tell Deep Neural Networks What We Know
We present a short survey of ways in which existing scientific knowledge...
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05/22/2021
Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment
We present a general technique for constructing Graph Neural Networks (G...
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05/20/2021
Superpixel-based Domain-Knowledge Infusion in Computer Vision
Superpixels are higher-order perceptual groups of pixels in an image, of...
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02/27/2021
Incorporating Domain Knowledge into Deep Neural Networks
We present a survey of ways in which domain-knowledge has been included ...
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02/24/2021
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting
In this article, we present our methodologies for SemEval-2021 Task-4: R...
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12/19/2020
Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays
In this paper, our focus is on constructing models to assist a clinician...
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10/23/2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks
Our interest is in scientific problems with the following characteristic...
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11/14/2019
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility
The problem of automatic forecasting of time-series data has been a long...
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09/14/2018
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance
Face frontalization is the process of synthesizing frontal facing views ...
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11/30/2016
Reliable Evaluation of Neural Network for Multiclass Classification of Real-world Data
This paper presents a systematic evaluation of Neural Network (NN) for c...
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09/19/2015
A Fuzzy MLP Approach for Non-linear Pattern Classification
In case of decision making problems, classification of pattern is a comp...
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06/19/2013
Non-Correlated Character Recognition using Artificial Neural Network
This paper investigates a method of Handwritten English Character Recogn...
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06/19/2013
Solution to Quadratic Equation Using Genetic Algorithm
Solving Quadratic equation is one of the intrinsic interests as it is th...
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06/19/2013
English Character Recognition using Artificial Neural Network
This work focuses on development of a Offline Hand Written English Chara...
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06/19/2013