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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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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
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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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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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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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
Interpreting Deep Models through the Lens of Data
Identification of input data points relevant for the classifier (i.e. se...
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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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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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05/15/2019