b'Sheraz Ahmed'

research

∙ 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...

0 Dominique Mercier, et al. ∙

research

∙ 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...

0 Saifullah Saifullah, et al. ∙

research

∙ 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...

0 Alireza Koochali, et al. ∙

research

∙ 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...

0 Christoph Balada, et al. ∙

research

∙ 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 ...

15 Adriano Lucieri, et al. ∙

research

∙ 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...

0 Pervaiz Iqbal Khan, et al. ∙

research

∙ 03/03/2022

Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training

Health mentioning classification (HMC) classifies an input text as healt...

10 Pervaiz Iqbal Khan, et al. ∙

research

∙ 02/22/2022

Utilizing Out-Domain Datasets to Enhance Multi-Task Citation Analysis

Citations are generally analyzed using only quantitative measures while ...

0 Dominique Mercier, et al. ∙

research

∙ 02/16/2022

TimeREISE: Time-series Randomized Evolving Input Sample Explanation

Deep neural networks are one of the most successful classifiers across d...

0 Dominique Mercier, et al. ∙

research

∙ 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...

0 Muhammad Ali Chattha, et al. ∙

research

∙ 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...

0 Dominique Mercier, et al. ∙

research

∙ 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 ...

0 Alireza Koochali, et al. ∙

research

∙ 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...

30 Adriano Lucieri, et al. ∙

research

∙ 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...

10 Dominique Mercier, et al. ∙

research

∙ 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...

0 Sebastian Palacio, et al. ∙

research

∙ 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 ...

0 Adriano Lucieri, et al. ∙

research

∙ 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...

0 Dominique Mercier, et al. ∙

research

∙ 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...

0 Adriano Lucieri, et al. ∙

research

∙ 08/30/2020

Benchmarking adversarial attacks and defenses for time-series data

The adversarial vulnerability of deep networks has spurred the interest ...

0 Shoaib Ahmed Siddiqui, et al. ∙

research

∙ 05/28/2020

Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection

Visual artefacts of early diabetic retinopathy in retinal fundus images ...

0 Muhammad Naseer Bajwa, et al. ∙

research

∙ 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...

18 Muhammad Naseer Bajwa, et al. ∙

research

∙ 05/21/2020

QuIS: The Question of Intelligent Site Selection

Site selection is one of the most important decisions to be made by comp...

0 Sebastian Baumbach, et al. ∙

research

∙ 05/21/2020

QuViS – The Question of Visual Site Selection

This paper present QuViS, which is an interactive platform for visualiza...

0 Sebastian Baumbach, et al. ∙

research

∙ 05/05/2020

P2ExNet: Patch-based Prototype Explanation Network

Deep learning methods have shown great success in several domains as the...

0 Dominique Mercier, et al. ∙

research

∙ 05/05/2020

ImpactCite: An XLNet-based method for Citation Impact Analysis

Citations play a vital role in understanding the impact of scientific li...

0 Dominique Mercier, et al. ∙

research

∙ 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...

10 Adriano Lucieri, et al. ∙

research

∙ 05/05/2020

Interpreting Deep Models through the Lens of Data

Identification of input data points relevant for the classifier (i.e. se...

0 Dominique Mercier, et al. ∙

research

∙ 05/04/2020

Explaining AI-based Decision Support Systems using Concept Localization Maps

Human-centric explainability of AI-based Decision Support Systems (DSS) ...

18 Adriano Lucieri, et al. ∙

research

∙ 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 -...

0 Alireza Koochali, et al. ∙

research

∙ 04/19/2020

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Computational Fluid Dynamics (CFD) simulation by the numerical solution ...

0 Mateus Dias Ribeiro, et al. ∙

research

∙ 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...

0 Shoaib Ahmed Siddiqui, et al. ∙

research

∙ 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 ...

0 Muhammad Nabeel Asima, et al. ∙

research

∙ 12/16/2019

DeepBiRD: An Automatic Bibliographic Reference Detection Approach

The contribution of this paper is two fold. First, it presents a novel a...

0 Syed Tahseen Raza Rizvi, et al. ∙

research

∙ 10/07/2019

SentiCite: An Approach for Publication Sentiment Analysis

With the rapid growth in the number of scientific publications, year aft...

0 Dominique Mercier, et al. ∙

research

∙ 09/12/2019

A Robust Hybrid Approach for Textual Document Classification

Text document classification is an important task for diverse natural la...

0 Muhammad Nabeel Asim, et al. ∙

research

∙ 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...

0 Mohsin Munir, et al. ∙

research

∙ 03/29/2019

Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN

Time series forecasting is one of the challenging problems for humankind...

0 Alireza Koochali, et al. ∙

research

∙ 02/15/2019

KINN: Incorporating Expert Knowledge in Neural Networks

The promise of ANNs to automatically discover and extract useful feature...

0 Muhammad Ali Chattha, et al. ∙

research

∙ 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...

0 Hiroki Ohashi, et al. ∙

research

∙ 02/08/2018

TSViz: Demystification of Deep Learning Models for Time-Series Analysis

This paper presents a novel framework for demystification of convolution...

0 Shoaib Ahmed Siddiqui, et al. ∙

research

∙ 03/19/2017

TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network

In this work, we present the Text Conditioned Auxiliary Classifier Gener...

0 Ayushman Dash, et al. ∙

research

∙ 10/28/2016

Judging a Book By its Cover

Book covers communicate information to potential readers, but can that s...

0 Brian Kenji Iwana, et al. ∙

research

∙ 08/03/2016

A Novel Approach for Data-Driven Automatic Site Recommendation and Selection

This paper presents a novel, generic, and automatic method for data-driv...

0 Sebastian Baumbach, et al. ∙

Sheraz Ahmed

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