activity
20162026
most citedCutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification

119 citations · 845 across the 65 of their papers we have counts for

collaborators
Showing 2019Show all

7 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…

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…

cs.LG2019★ 95 cited

Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN

Alireza Koochali, Peter Schichtel, Sheraz Ahmed +1

Time series forecasting is one of the challenging problems for humankind. Traditional forecasting methods using mean regression models have severe shortcomings in reflecting real-w…

cs.LG2019★ 10 cited

KINN: Incorporating Expert Knowledge in Neural Networks

Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik +3

The promise of ANNs to automatically discover and extract useful features/patterns from data without dwelling on domain expertise although seems highly promising but comes at the c…