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2020 – today
- 2023
[c23]Xiao Qin, Nasrullah Sheikh, Chuan Lei, Berthold Reinwald, Giacomo Domeniconi:
SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs. ICDE 2023: 2850-2863- 2021
- [j4]Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, Seung-gu Kang, Ruhong Zhou, Guojing Cong:
CASTELO: clustered atom subtypes aided lead optimization - a combined machine learning and molecular modeling method. BMC Bioinform. 22(1): 338 (2021) - [c22]Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, Frederick Reiss:
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. NeurIPS Datasets and Benchmarks 2021 - [i6]Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Ulrich Finkler:
Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. CoRR abs/2105.12655 (2021) - [i5]Yufan Zhuang, Sahil Suneja, Veronika Thost, Giacomo Domeniconi, Alessandro Morari, Jim Laredo:
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation. CoRR abs/2109.03341 (2021) - 2020
- [c21]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI 2020: 5363-5370 - [c20]Chih-Chieh Yang, Giacomo Domeniconi, Leili Zhang, Guojing Cong:
Design of AI-Enhanced Drug Lead Optimization Workflow for HPC and Cloud. IEEE BigData 2020: 5861-5863 - [i4]Luca Buratti, Saurabh Pujar, Mihaela A. Bornea, J. Scott McCarley, Yunhui Zheng, Gaetano Rossiello, Alessandro Morari, Jim Laredo, Veronika Thost, Yufan Zhuang, Giacomo Domeniconi:
Exploring Software Naturalness through Neural Language Models. CoRR abs/2006.12641 (2020) - [i3]Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, Seung-gu Kang, Ruhong Zhou, Guojing Cong:
CASTELO: Clustered Atom Subtypes aidEd Lead Optimization - a combined machine learning and molecular modeling method. CoRR abs/2011.13788 (2020)
2010 – 2019
- 2019
- [j3]Guojing Cong, Giacomo Domeniconi, Chih-Chieh Yang, Joshua Shapiro, Fan Zhou, Barry Chen:
Fast neural network training on a cluster of GPUs for action recognition with high accuracy. J. Parallel Distributed Comput. 134: 153-165 (2019) - [c19]Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher
, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz:
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17 - [c18]Guojing Cong, Giacomo Domeniconi, Joshua Shapiro, Chih-Chieh Yang, Barry Chen:
Video Action Recognition With an Additional End-to-End Trained Temporal Stream. WACV 2019: 51-60 - [i2]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. CoRR abs/1902.10191 (2019) - [i1]Mark Weber, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele, Claudio Bellei, Tom Robinson, Charles E. Leiserson:
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics. CoRR abs/1908.02591 (2019) - 2018
- [c17]Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi, Vittorio Ghini:
Deep Neural Trading: Comparative Study with Feed Forward, Recurrent and Autoencoder Networks. DATA (Revised Selected Papers) 2018: 189-209 - [c16]Guojing Cong, Giacomo Domeniconi, Joshua Shapiro, Fan Zhou, Barry Chen:
Accelerating Deep Neural Network Training for Action Recognition on a Cluster of GPUs. SBAC-PAD 2018: 298-305 - 2017
- [c15]Andrea Pagliarani, Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi:
Transfer Learning in Sentiment Classification with Deep Neural Networks. IC3K 2017: 3-25 - [c14]Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi, Andrea Pagliarani, Andrea Roli:
Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification. IC3K 2017: 26-42 - [c13]Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini:
On Deep Learning in Cross-Domain Sentiment Classification. KDIR 2017: 50-60 - [c12]Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini:
Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets. KDIR 2017: 165-172 - 2016
- [b1]Giacomo Domeniconi:
Data and Text Mining Techniques for In-Domain and Cross-Domain Applications. University of Bologna, Italy, 2016 - [j2]Giacomo Domeniconi, Marco Masseroli, Gianluca Moro, Pietro Pinoli:
Cross-organism learning method to discover new gene functionalities. Comput. Methods Programs Biomed. 126: 20-34 (2016) - [c11]Giacomo Domeniconi, Konstantinos Semertzidis, Gianluca Moro, Vanessa López, Spyros Kotoulas, Elizabeth M. Daly:
Identifying Conversational Message Threads by Integrating Classification and Data Clustering. DATA (Revised Selected Papers) 2016: 25-46 - [c10]Giacomo Domeniconi, Konstantinos Semertzidis, Vanessa López, Elizabeth M. Daly, Spyros Kotoulas, Gianluca Moro:
A Novel Method for Unsupervised and Supervised Conversational Message Thread Detection. DATA 2016: 43-54 - [c9]Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Karin Pasini, Roberto Pasolini:
Job Recommendation from Semantic Similarity of LinkedIn Users' Skills. ICPRAM 2016: 270-277 - 2015
- [j1]Pietro di Lena, Giacomo Domeniconi, Luciano Margara, Gianluca Moro:
GOTA: GO term annotation of biomedical literature. BMC Bioinform. 16: 346:1-346:13 (2015) - [c8]Giacomo Domeniconi, Gianluca Moro, Roberto Pasolini, Claudio Sartori:
A Study on Term Weighting for Text Categorization: A Novel Supervised Variant of tf.idf. DATA 2015: 26-37 - [c7]Giacomo Domeniconi, Gianluca Moro, Roberto Pasolini, Claudio Sartori:
A Comparison of Term Weighting Schemes for Text Classification and Sentiment Analysis with a Supervised Variant of tf.idf. DATA (Revised Selected Papers) 2015: 39-58 - [c6]Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini:
Cross-Domain Sentiment Classification via Polarity-Driven State Transitions in a Markov Model. IC3K 2015: 118-138 - [c5]Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini:
Markov Chain based Method for In-Domain and Cross-Domain Sentiment Classification. KDIR 2015: 127-137 - 2014
- [c4]Giacomo Domeniconi, Gianluca Moro, Roberto Pasolini, Claudio Sartori:
Cross-domain Text Classification through Iterative Refining of Target Categories Representations. KDIR 2014: 31-42 - [c3]Giacomo Domeniconi, Gianluca Moro, Roberto Pasolini, Claudio Sartori:
Iterative Refining of Category Profiles for Nearest Centroid Cross-Domain Text Classification. IC3K (Selected Papers) 2014: 50-67 - [c2]Giacomo Domeniconi, Marco Masseroli, Gianluca Moro, Pietro Pinoli:
Discovering New Gene Functionalities from Random Perturbations of Known Gene Ontological Annotations. KDIR 2014: 107-116 - [c1]Giacomo Domeniconi, Marco Masseroli, Gianluca Moro, Pietro Pinoli:
Random Perturbations of Term Weighted Gene Ontology Annotations for Discovering Gene Unknown Functionalities. IC3K (Selected Papers) 2014: 181-197
Coauthor Index
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