57 citations · 81 across the 6 of their papers we have counts for
6 papers
Discrimination and Class Imbalance Aware Online Naive Bayes
Maryam Badar, Marco Fisichella, Vasileios Iosifidis +1
Fairness-aware mining of massive data streams is a growing and challenging concern in the contemporary domain of machine learning. Many stream learning algorithms are used to repla…
A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets
Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl
Climate change has become one of the biggest challenges of our time. Social media platforms such as Twitter play an important role in raising public awareness and spreading knowled…
Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers
Sowmya S Sundaram, Sairam Gurajada, Marco Fisichella +2
From the latter half of the last decade, there has been a growing interest in developing algorithms for automatically solving mathematical word problems (MWP). It is a challenging…
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition
Yi Chang, Sofiane Laridi, Zhao Ren +3
Due to the development of machine learning and speech processing, speech emotion recognition has been a popular research topic in recent years. However, the speech data cannot be p…
Analysis of two-proton transfer in the 40Ca(18O,20Ne)38Ar reaction at 270 MeV incident energy
J. L. Ferreira, D. Carbone, M. Cavallaro +16
Two-nucleon transfer reactions are essential tools to investigate specific features of the nuclearstructure such as the correlation among valence particles in the transfer process.…
Analysis of two-nucleon transfer reactions in the 20Ne + 116Cd system at 306 MeV
D. Carbone, J. L. Ferreira, S. Calabrese +46
Background: Heavy-ion induced two-nucleon transfer reactions are powerful tools to reveal peculiar aspects of the atomic nucleus, such as pairing correlations, single-particle and…