1 code implementation • 12 Apr 2020 • Ethan Weber, Hassan Kané
Automatic change detection and disaster damage assessment are currently procedures requiring a huge amount of labor and manual work by satellite imagery analysts.
Ranked #3 on 2D Semantic Segmentation on xBD
no code implementations • 25 Sep 2019 • Hassan Kané, Mohamed Coulibali, Pelkins Ajanoh, Ali Abdalla
Using these representations, we train machine learning models that outperform existing methods on the task of tissue-specific protein function prediction on 10 out of 13 tissues.
no code implementations • 25 Sep 2019 • Hassan Kané, Yusuf Kocyigit, Ali Abdalla, Pelkins Ajanoh, Mohamed Coulibali
We review the limitations of BLEU and ROUGE -- the most popular metrics used to assess reference summaries against hypothesis summaries, and introduce JAUNE: a set of criteria for what a good metric should behave like and propose concrete ways to use recent Transformers-based Language Models to assess reference summaries against hypothesis summaries.
no code implementations • 20 Sep 2019 • Hassan Kané, Yusuf Kocyigit, Pelkins Ajanoh, Ali Abdalla, Mohamed Coulibali
We review three limitations of BLEU and ROUGE -- the most popular metrics used to assess reference summaries against hypothesis summaries, come up with criteria for what a good metric should behave like and propose concrete ways to use recent Transformers-based Language Models to assess reference summaries against hypothesis summaries.
no code implementations • NeurIPS Workshop Document_Intelligen 2019 • Hassan Kané, Yusuf Kocyigit, Pelkins Ajanoh, Ali Abdalla, Mohamed Coulibali
We review three limitations of BLEU and ROUGE – the most popular metrics used to assess reference summaries against hypothesis summaries, come up with criteria for what a good metric should behave like and propose concrete ways to assess the performance of a metric in detail and show the potential of Transformers-based Language Models to assess reference summaries against hypothesis summaries.
1 code implementation • 5 Dec 2017 • Willie Boag, Hassan Kané
In recent years, word embeddings have been surprisingly effective at capturing intuitive characteristics of the words they represent.