Search Results for author:
Found 7 papers, 3 papers with code
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks
Ethereum is one of the most valuable blockchain networks in terms of the total monetary value locked in it, and arguably been the most active network where new blockchain innovations in research and applications are demonstrated.
A Multimodal Corpus for Emotion Recognition in Sarcasm
Detecting the emotion behind a sarcastic expression is non-trivial yet an important task.
Ranked #1 on
Sarcasm Detection
on MUStARD++
Multi-level Attention network using text, audio and video for Depression Prediction
This paper presents a novel multi-level attention based network for multi-modal depression prediction that fuses features from audio, video and text modalities while learning the intra and inter modality relevance.
Improving IT Support by Enhancing Incident Management Process with Multi-modal Analysis
Incident management is one such process which has been a beacon process for AI based automation.
Cognitive system to achieve human-level accuracy in automated assignment of helpdesk email tickets
We discuss some of the main design challenges associated with email ticket assignment automation and how we solve them.
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks
This paper proposes a hybrid text recognizer using a deep recurrent neural network with multiple layers of abstraction and long range context along with a language model to verify the performance of the deep neural network.
