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03/28/2023
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
Deep learning has proven to be successful in various domains and for dif...
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11/08/2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Since the mid-10s, the era of Deep Learning (DL) has continued to this d...
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10/14/2022
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain
Generative models are designed to address the data scarcity problem. Eve...
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09/23/2022
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids
Electricity grids have become an essential part of daily life, even if t...
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06/13/2022
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification
It is generally believed that the human visual system is biased towards ...
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04/13/2022
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets
Health mention classification deals with the disease detection in a give...
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03/03/2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training
Health mentioning classification (HMC) classifies an input text as healt...
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02/22/2022
Utilizing Out-Domain Datasets to Enhance Multi-Task Citation Analysis
Citations are generally analyzed using only quantitative measures while ...
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02/16/2022
TimeREISE: Time-series Randomized Evolving Input Sample Explanation
Deep neural networks are one of the most successful classifiers across d...
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02/08/2022
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting
End-to-end data-driven machine learning methods often have exuberant req...
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02/08/2022
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods
In the last decade neural network have made huge impact both in industry...
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01/21/2022
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability
The recent developments in the machine learning domain have enabled the ...
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01/04/2022
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions
One principal impediment in the successful deployment of AI-based Comput...
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11/29/2021
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
With the advent of machine learning in applications of critical infrastr...
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05/14/2021
XAI Handbook: Towards a Unified Framework for Explainable AI
The field of explainable AI (XAI) has quickly become a thriving and prol...
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03/02/2021
Deep Learning Based Decision Support for Medicine – A Case Study on Skin Cancer Diagnosis
Early detection of skin cancers like melanoma is crucial to ensure high ...
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02/11/2021
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification
The classification of time-series data is pivotal for streaming data and...
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11/26/2020
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems
Remarkable success of modern image-based AI methods and the resulting in...
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08/30/2020
Benchmarking adversarial attacks and defenses for time-series data
The adversarial vulnerability of deep networks has spurred the interest ...
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05/28/2020
Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection
Visual artefacts of early diabetic retinopathy in retinal fundus images ...
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05/28/2020
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
With the advancement of powerful image processing and machine learning t...
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05/21/2020
QuIS: The Question of Intelligent Site Selection
Site selection is one of the most important decisions to be made by comp...
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05/21/2020
QuViS – The Question of Visual Site Selection
This paper present QuViS, which is an interactive platform for visualiza...
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05/05/2020
P2ExNet: Patch-based Prototype Explanation Network
Deep learning methods have shown great success in several domains as the...
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05/05/2020
ImpactCite: An XLNet-based method for Citation Impact Analysis
Citations play a vital role in understanding the impact of scientific li...
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05/05/2020
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
Deep learning based medical image classifiers have shown remarkable prow...
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05/05/2020
Interpreting Deep Models through the Lens of Data
Identification of input data points relevant for the classifier (i.e. se...
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05/04/2020
Explaining AI-based Decision Support Systems using Concept Localization Maps
Human-centric explainability of AI-based Decision Support Systems (DSS) ...
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05/03/2020
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN
The contribution of this paper is two-fold. First, we present ProbCast -...
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04/19/2020
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
Computational Fluid Dynamics (CFD) simulation by the numerical solution ...
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04/06/2020
TSInsight: A local-global attribution framework for interpretability in time-series data
With the rise in the employment of deep learning methods in safety-criti...
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12/23/2019
A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC)
Functional or non-coding RNAs are attracting more attention as they are ...
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12/16/2019
DeepBiRD: An Automatic Bibliographic Reference Detection Approach
The contribution of this paper is two fold. First, it presents a novel a...
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10/07/2019
SentiCite: An Approach for Publication Sentiment Analysis
With the rapid growth in the number of scientific publications, year aft...
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09/12/2019
A Robust Hybrid Approach for Textual Document Classification
Text document classification is an important task for diverse natural la...
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05/15/2019
TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features
Neural networks (NN) are considered as black-boxes due to the lack of ex...
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03/29/2019
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN
Time series forecasting is one of the challenging problems for humankind...
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02/15/2019
KINN: Incorporating Expert Knowledge in Neural Networks
The promise of ANNs to automatically discover and extract useful feature...
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08/02/2018
Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors
This paper presents a simple yet effective method for improving the perf...
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02/08/2018
TSViz: Demystification of Deep Learning Models for Time-Series Analysis
This paper presents a novel framework for demystification of convolution...
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03/19/2017
TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network
In this work, we present the Text Conditioned Auxiliary Classifier Gener...
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10/28/2016
Judging a Book By its Cover
Book covers communicate information to potential readers, but can that s...
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08/03/2016
