activity
20172020
most citedApplications of Deep Learning and Reinforcement Learning to Biological Data

876 citations · 1.7k across the 10 of their papers we have counts for

collaborators

16 papers

cs.CL20203 cited

Improving Aspect-Level Sentiment Analysis with Aspect Extraction

Navonil Majumder, Rishabh Bhardwaj, Soujanya Poria +4

Aspect-based sentiment analysis (ABSA), a popular research area in NLP has two distinct parts -- aspect extraction (AE) and labeling the aspects with sentiment polarity (ALSA). Alt…

cs.NI2019131 cited

A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management

Ahsan Adeel, Mandar Gogate, Saadullah Farooq +4

Extreme events and disasters resulting from climate change or other ecological factors are difficult to predict and manage. Current limitations of state-of-the-art approaches to di…

cs.CV2018

Saliency Detection via Bidirectional Absorbing Markov Chain

Fengling Jiang, Bin Kong, Ahsan Adeel +2

Traditional saliency detection via Markov chain only considers boundaries nodes. However, in addition to boundaries cues, background prior and foreground prior cues play a compleme…

cs.CR2018

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection

Cosimo Ieracitano, Ahsan Adeel, Mandar Gogate +5

Attackers have developed ever more sophisticated and intelligent ways to hack information and communication technology systems. The extent of damage an individual hacker can carry…

cs.CL2018

SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis

Imane Guellil, Ahsan Adeel, Faical Azouaou +1

Data annotation is an important but time-consuming and costly procedure. To sort a text into two classes, the very first thing we need is a good annotation guideline, establishing…

cs.CL2018

Exploiting Deep Learning for Persian Sentiment Analysis

Kia Dashtipour, Mandar Gogate, Ahsan Adeel +3

The rise of social media is enabling people to freely express their opinions about products and services. The aim of sentiment analysis is to automatically determine subject's sent…