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2020 – today
- 2024
[j4]Jiazhen He, Alessandro Tibo, Jon Paul Janet, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist:
Evaluation of reinforcement learning in transformer-based molecular design. J. Cheminformatics 16(1): 95 (2024)- [j3]Annie M. Westerlund
, Siva Manohar Koki, Supriya Kancharla, Alessandro Tibo, Lakshidaa Saigiridharan, Mikhail Kabeshov, Rocío Mercado, Samuel Genheden:
Do Chemformers Dream of Organic Matter? Evaluating a Transformer Model for Multistep Retrosynthesis. J. Chem. Inf. Model. 64(8): 3021-3033 (2024) - [i9]Ross Irwin, Alessandro Tibo, Jon Paul Janet, Simon Olsson:
Efficient 3D Molecular Generation with Flow Matching and Scale Optimal Transport. CoRR abs/2406.07266 (2024) - [i8]Gökçe Geylan, Jon Paul Janet, Alessandro Tibo, Jiazhen He, Atanas Patronov, Mikhail Kabeshov, Florian David, Werngard Czechtizky, Ola Engkvist, Leonardo De Maria:
PepINVENT: Generative peptide design beyond the natural amino acids. CoRR abs/2409.14040 (2024) - 2023
- [c6]Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen:
Metagenomic Binning using Connectivity-constrained Variational Autoencoders. ICML 2023: 18471-18481 - 2022
- [c5]Daniel Friis Holtebo, Jannik Lucas Sommer, Magnus Mølgaard Lund, Alessandro Tibo, Junior Dongo, Michele Albano:
EXOGEM: Extending OpenAPI Generator for Monitoring of RESTful APIs. ICSOC Workshops 2022: 118-129 - [i7]Alessandro Tibo, Thomas Dyhre Nielsen:
Inducing Gaussian Process Networks. CoRR abs/2204.09889 (2022) - [i6]Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen:
Graph Neural Networks for Microbial Genome Recovery. CoRR abs/2204.12270 (2022) - 2021
- [c4]Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger:
Learning Aggregation Functions. IJCAI 2021: 2892-2898 - 2020
- [j2]Alessandro Tibo, Manfred Jaeger, Paolo Frasconi:
Learning and Interpreting Multi-Multi-Instance Learning Networks. J. Mach. Learn. Res. 21: 193:1-193:60 (2020) - [c3]Manfred Jaeger, Kim G. Larsen, Alessandro Tibo:
From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach. RV 2020: 517-535 - [i5]Alessandro Tibo, Manfred Jaeger, Kim G. Larsen:
A general framework for defining and optimizing robustness. CoRR abs/2006.11122 (2020) - [i4]Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger:
Learning Aggregation Functions. CoRR abs/2012.08482 (2020)
2010 – 2019
- 2018
- [c2]Tina Raissi, Alessandro Tibo, Paolo Bientinesi:
Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition. ICASSP 2018: 2661-2665 - [i3]Tijn Borghuis, Alessandro Tibo, Simone Conforti, Luca Canciello, Lorenzo Brusci, Paolo Frasconi:
Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres. CoRR abs/1804.09808 (2018) - [i2]Tina Raissi, Alessandro Tibo, Paolo Bientinesi:
Extended pipeline for content-based feature engineering in music genre recognition. CoRR abs/1805.05324 (2018) - [i1]Alessandro Tibo, Manfred Jaeger, Paolo Frasconi:
Learning and Interpreting Multi-Multi-Instance Learning Networks. CoRR abs/1810.11514 (2018) - 2017
- [c1]Alessandro Tibo, Paolo Frasconi, Manfred Jaeger:
A Network Architecture for Multi-Multi-Instance Learning. ECML/PKDD (1) 2017: 737-752 - 2014
- [j1]Pierfrancesco Bellini, Paolo Nesi, Matteo Simoncini, Alessandro Tibo:
Maintenance and emergency management with an integrated indoor/outdoor navigation support. J. Vis. Lang. Comput. 25(6): 637-649 (2014)
Coauthor Index
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