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20142024
most citedAdversarial Text-to-Image Synthesis: A Review

207 citations · 1.4k across the 102 of their papers we have counts for

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Showing 2019Show all

10 papers · 1 filter

q-bio.GN2019★ 3 cited

A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC)

Muhammad Nabeel Asima, Muhammad Imran Malik, Andreas Dengela +1

Functional or non-coding RNAs are attracting more attention as they are now potentially considered valuable resources in the development of new drugs intended to cure several human…

cs.CV2019★ 10 cited

A Hybrid Approach and Unified Framework for Bibliographic Reference Extraction

Syed Tahseen Raza Rizvi, Andreas Dengel, Sheraz Ahmed

Publications are an integral part in a scientific community. Bibliographic reference extraction from scientific publication is a challenging task due to diversity in referencing st…

physics.comp-ph2019★ 24 cited

Turbulence forecasting via Neural ODE

Gavin D. Portwood, Peetak P. Mitra, Mateus Dias Ribeiro +9

Fluid turbulence is characterized by strong coupling across a broad range of scales. Furthermore, besides the usual local cascades, such coupling may extend to interactions that ar…

cs.CL2019★ 1 cited

SentiCite: An Approach for Publication Sentiment Analysis

Dominique Mercier, Akansha Bhardwaj, Andreas Dengel +1

With the rapid growth in the number of scientific publications, year after year, it is becoming increasingly difficult to identify quality authoritative work on a single topic. Tho…

cs.CL2019

A Robust Hybrid Approach for Textual Document Classification

Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik +2

Text document classification is an important task for diverse natural language processing based applications. Traditional machine learning approaches mainly focused on reducing dim…

cs.LG2019★ 13 cited

TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features

Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters +3

Neural networks (NN) are considered as black-boxes due to the lack of explainability and transparency of their decisions. This significantly hampers their deployment in environment…