Giacomo Domeniconi

Orcid: 0000-0003-2797-1547

According to our database1, Giacomo Domeniconi authored at least 33 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2021
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation.
CoRR, 2021

Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.
CoRR, 2021

CASTELO: clustered atom subtypes aided lead optimization - a combined machine learning and molecular modeling method.
BMC Bioinform., 2021

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020
Exploring Software Naturalness through Neural Language Models.
CoRR, 2020

Design of AI-Enhanced Drug Lead Optimization Workflow for HPC and Cloud.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fast neural network training on a cluster of GPUs for action recognition with high accuracy.
J. Parallel Distributed Comput., 2019

Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics.
CoRR, 2019

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.
CoRR, 2019

Video Action Recognition With an Additional End-to-End Trained Temporal Stream.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019


2018
Accelerating Deep Neural Network Training for Action Recognition on a Cluster of GPUs.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Deep Neural Trading: Comparative Study with Feed Forward, Recurrent and Autoencoder Networks.
Proceedings of the Data Management Technologies and Applications, 2018

2017
Transfer Learning in Sentiment Classification with Deep Neural Networks.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

On Deep Learning in Cross-Domain Sentiment Classification.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

2016
Data and Text Mining Techniques for In-Domain and Cross-Domain Applications.
PhD thesis, 2016

Cross-organism learning method to discover new gene functionalities.
Comput. Methods Programs Biomed., 2016

Job Recommendation from Semantic Similarity of LinkedIn Users' Skills.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Identifying Conversational Message Threads by Integrating Classification and Data Clustering.
Proceedings of the Data Management Technologies and Applications, 2016

A Novel Method for Unsupervised and Supervised Conversational Message Thread Detection.
Proceedings of the DATA 2016, 2016

2015
GOTA: GO term annotation of biomedical literature.
BMC Bioinform., 2015

Cross-Domain Sentiment Classification via Polarity-Driven State Transitions in a Markov Model.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015

Markov Chain based Method for In-Domain and Cross-Domain Sentiment Classification.
Proceedings of the KDIR 2015, 2015

A Study on Term Weighting for Text Categorization: A Novel Supervised Variant of tf.idf.
Proceedings of the DATA 2015, 2015

A Comparison of Term Weighting Schemes for Text Classification and Sentiment Analysis with a Supervised Variant of tf.idf.
Proceedings of the Data Management Technologies and Applications, 2015

2014
Iterative Refining of Category Profiles for Nearest Centroid Cross-Domain Text Classification.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2014

Cross-domain Text Classification through Iterative Refining of Target Categories Representations.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

Random Perturbations of Term Weighted Gene Ontology Annotations for Discovering Gene Unknown Functionalities.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2014

Discovering New Gene Functionalities from Random Perturbations of Known Gene Ontological Annotations.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014


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