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2020 – today
- 2024
[c12]Simone Magnani, Seshu Tirupathi, Roberto Doriguzzi Corin, Liubov Nedoshivina
, Stefano Braghin, Domenico Siracusa:
Online Learning and Model Pruning Against Concept Drifts in Edge Devices. NetSoft 2024: 351-356- [i7]Subina Khanal, Seshu Tirupathi, Giulio Zizzo, Ambrish Rawat, Torben Bach Pedersen:
Domain Adaptation for Time series Transformers using One-step fine-tuning. CoRR abs/2401.06524 (2024) - [i6]Merim Dzaferagic, Marco Ruffini, Nina Slamnik-Krijestorac, Joao F. Santos, Johann Márquez-Barja, Christos Tranoris, Spyros G. Denazis, Thomas Kyriakakis, Panagiotis Karafotis, Luiz A. DaSilva, Shashi Raj Pandey, Junya Shiraishi, Petar Popovski, Søren Kejser Jensen, Christian Thomsen, Torben Bach Pedersen, Holger Claussen, Jinfeng Du, Gil Zussman, Tingjun Chen, Yiran Chen, Seshu Tirupathi, Ivan Seskar, Daniel C. Kilper:
Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems. CoRR abs/2407.01544 (2024) - [i5]Elizabeth M. Daly, Sean Rooney, Seshu Tirupathi, Luis Garcés-Erice, Inge Vejsbjerg, Frank Bagehorn, Dhaval Salwala, Christopher Giblin, Mira L. Wolf-Bauwens, Ioana Giurgiu, Michael Hind, Peter Urbanetz:
Usage Governance Advisor: from Intent to AI Governance. CoRR abs/2412.01957 (2024) - 2023
- [c11]Adam Przybylek, Aleksandra Karpus, Allel Hadjali, Anton Dignös, Carmem S. Hara, Danae Pla Karidi, Ester Zumpano, Fabio Persia, Genoveva Vargas-Solar, George Papastefanatos, Giancarlo Sperlì, Giorgos Giannopoulos, Ivan Lukovic, Julien Aligon, Manolis Terrovitis, Marek Grzegorowski, Mariella Bonomo, Mirian Halfeld Ferrari Alves, Nicolas Labroche, Paul Monsarrat, Richard Chbeir, Sana Sellami, Seshu Tirupathi, Simona E. Rombo, Slavica Kordic, Sonja Ristic, Tommaso Di Noia, Torben Bach Pedersen, Vincenzo Moscato:
Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. ADBIS (Short Papers) 2023: 293-311 - 2022
- [c10]Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati:
Distributed Incremental Machine Learning for Big Time Series Data. IEEE Big Data 2022: 2356-2363 - [c9]Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Søren Kejser Jensen, Christian Thomsen, Nguyen Ho, Carlos E. Muñiz-Cuza, Jonas Brusokas, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos, Ioannis Psarros, Vassilis Stamatopoulos, Manolis Terrovitis:
Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. IEEE Big Data 2022: 3179-3185 - [c8]Shivani Tomar, Seshu Tirupathi, Dhaval Vinodbhai Salwala, Ivana Dusparic, Elizabeth Daly:
Prequential Model Selection for Time Series Forecasting based on Saliency Maps. IEEE Big Data 2022: 3383-3392 - [c7]Bijay Neupane, Laurynas Siksnys, Torben Bach Pedersen, Rikke Hagensby Jensen, Muhammad Aftab, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi, Gregor Cerne, Saso Brus, Ioannis Papageorgiou, Gerhard Meindl, Pierre Roduit:
GOFLEX: extracting, aggregating and trading flexibility based on FlexOffers for 500+ prosumers in 3 European cities [operational systems paper]. e-Energy 2022: 361-373 - 2021
- [j1]Alessandro Incremona, Giuseppe De Nicolao, Francesco Fusco, Bradley J. Eck, Seshu Tirupathi:
Aggregation of nonlinearly enhanced experts with application to electricity load forecasting. Appl. Soft Comput. 112: 107857 (2021) - [c6]Jonathan P. Epperlein, Mykhaylo Zayats, Seshu Tirupathi, Sergiy Zhuk, Tigran T. Tchrakian, Pol Mac Aonghusa, Donal F. O'Shea, Niall P. Hardy, Jeffrey Dalli, Ronan A. Cahill:
Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology. AMIA 2021 - [i4]Francesco Fusco, Bradley Eck, Robert Gormally, Mark Purcell, Seshu Tirupathi:
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks. CoRR abs/2103.07248 (2021) - 2020
- [c5]Francesco Fusco, Bradley Eck, Robert Gormally, Mark Purcell, Seshu Tirupathi:
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks. IEEE BigData 2020: 1301-1308 - [c4]Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pól Mac Aonghusa, Donal O'Shea, Ronan A. Cahill:
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures. MICCAI (3) 2020: 711-721 - [i3]Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi:
Scalable Deployment of AI Time-series Models for IoT. CoRR abs/2003.12141 (2020) - [i2]Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pol Mac Aonghusa, Ronan A. Cahill, Donal O'Shea:
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures. CoRR abs/2006.14321 (2020)
2010 – 2019
- 2019
- [c3]Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi:
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids. e-Energy 2019: 381-382 - 2018
- [c2]Bei Chen, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Mathieu Sinn, Seshu Tirupathi:
Castor: Contextual IoT Time Series Data and Model Management at Scale. ICDM Workshops 2018: 1487-1492 - 2017
- [c1]Francesco Fusco, Seshu Tirupathi, Robert Gormally:
Power systems data fusion based on belief propagation. ISGT Europe 2017: 1-6 - [i1]Francesco Fusco, Seshu Tirupathi, Robert Gormally:
Power Systems Data Fusion based on Belief Propagation. CoRR abs/1705.08815 (2017)
Coauthor Index
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