Alessandro Tibo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 17

Top Topics

Feature Engineering

Sparse Approximations

Aggregation Functions

Top Venues

ICSOC Workshops

J. Vis. Lang. Comput.

Publications

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) (2024)
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) (2024)
Ross Irwin, Alessandro Tibo, Jon Paul Janet, Simon Olsson
Efficient 3D Molecular Generation with Flow Matching and Scale Optimal Transport. CoRR (2024)
Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen
Metagenomic Binning using Connectivity-constrained Variational Autoencoders. ICML (2023)
Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen
Graph Neural Networks for Microbial Genome Recovery. CoRR (2022)
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)
Alessandro Tibo, Thomas Dyhre Nielsen
Inducing Gaussian Process Networks. CoRR (2022)
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
Learning Aggregation Functions. IJCAI (2021)
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
Learning and Interpreting Multi-Multi-Instance Learning Networks. J. Mach. Learn. Res. 21 (2020)
Alessandro Tibo, Manfred Jaeger, Kim G. Larsen
A general framework for defining and optimizing robustness. CoRR (2020)
Manfred Jaeger, Kim G. Larsen, Alessandro Tibo
From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach. RV (2020)
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
Learning Aggregation Functions. CoRR (2020)
Tina Raissi, Alessandro Tibo, Paolo Bientinesi
Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition. ICASSP (2018)
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
Learning and Interpreting Multi-Multi-Instance Learning Networks. CoRR (2018)
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 (2018)
Tina Raissi, Alessandro Tibo, Paolo Bientinesi
Extended pipeline for content-based feature engineering in music genre recognition. CoRR (2018)
Alessandro Tibo, Paolo Frasconi, Manfred Jaeger
A Network Architecture for Multi-Multi-Instance Learning. ECML/PKDD (1) (2017)
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) (2014)