1 citations · 1 across the 2 of their papers we have counts for
4 papers
The Influence of Iconicity in Transfer Learning for Sign Language Recognition
Keren Artiaga, Conor Lynch, Haithem Afli +1
Most sign language recognition research relies on Transfer Learning (TL) from vision-based datasets such as ImageNet. Some extend this to alternatively available language datasets,…
CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation
Dibyanayan Bandyopadhyay, Soham Bhattacharjee, Mohammed Hasanuzzaman +1
Multimodal classifiers function as opaque black box models. While several techniques exist to interpret their predictions, very few of them are as intuitive and accessible as natur…
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
Sheresh Zahoor, Pietro Liò, Gaël Dias +1
Healthcare decision-making requires not only accurate predictions but also insights into how factors influence patient outcomes. While traditional Machine Learning (ML) models exce…
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
Dibyanayan Bandyopadhyay, Mohammed Hasanuzzaman, Asif Ekbal
Detecting offensive memes is crucial, yet standard deep neural network systems often remain opaque. Various input attribution-based methods attempt to interpret their behavior, but…