Sandro Cavallari

According to our database, Sandro Cavallari authored at least 10 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Predicting video engagement using heterogeneous DeepWalk.

Iti Chaturvedi, Kishor Thapa, Sandro Cavallari, Erik Cambria, Roy E. Welsch

Neurocomputing, 2021

2020

Genetic Programming for Domain Adaptation in Product Reviews.

Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Roy E. Welsch

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

From node embedding to community embedding on graphs

Sandro Cavallari

PhD thesis, 2019

Fuzzy commonsense reasoning for multimodal sentiment analysis.

Iti Chaturvedi, Ranjan Satapathy, Sandro Cavallari, Erik Cambria

Pattern Recognit. Lett., 2019

Embedding Both Finite and Infinite Communities on Graphs [Application Notes].

Sandro Cavallari, Erik Cambria, Hongyun Cai, Kevin Chen-Chuan Chang, Vincent W. Zheng

IEEE Comput. Intell. Mag., 2019

Seq2Seq Deep Learning Models for Microtext Normalization.

Ranjan Satapathy, Yang Li, Sandro Cavallari, Erik Cambria

Proceedings of the International Joint Conference on Neural Networks, 2019

An Attention-Based Model for Learning Dynamic Interaction Networks.

Sandro Cavallari, Soujanya Poria, Erik Cambria, Vincent W. Zheng, Hongyun Cai

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

Learning Word Vectors in Deep Walk using Convolution.

Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Vincent Wenchen Zheng

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Learning Community Embedding with Community Detection and Node Embedding on Graphs.

Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

From Node Embedding To Community Embedding.

Vincent W. Zheng, Sandro Cavallari, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria

CoRR, 2016