Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Alessandro Tibo"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract How many near-neighbors does a molecule have? This fundamental question in chemistry is crucial for molecular optimization problems under the similarity principle assumption. Generative models can sample molecules from a vast chemical space
Externí odkaz:
https://doaj.org/article/33626a8e13b440e18e005f3c5b5ffc4c
Autor:
Jiazhen He, Alessandro Tibo, Jon Paul Janet, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-15 (2024)
Abstract Designing compounds with a range of desirable properties is a fundamental challenge in drug discovery. In pre-clinical early drug discovery, novel compounds are often designed based on an already existing promising starting compound through
Externí odkaz:
https://doaj.org/article/e73ae601958648b29407a92e9414254a
Autor:
Hannes H. Loeffler, Jiazhen He, Alessandro Tibo, Jon Paul Janet, Alexey Voronov, Lewis H. Mervin, Ola Engkvist
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-16 (2024)
Abstract REINVENT 4 is a modern open-source generative AI framework for the design of small molecules. The software utilizes recurrent neural networks and transformer architectures to drive molecule generation. These generators are seamlessly embedde
Externí odkaz:
https://doaj.org/article/0bb4fcc6450445e78460e6559e9fdbfc
Autor:
Daniel Friis Holtebo, Jannik Lucas Sommer, Magnus Mølgaard Lund, Alessandro Tibo, Junior Dongo, Michele Albano
Publikováno v:
Service-Oriented Computing – ICSOC 2022 Workshops ISBN: 9783031265068
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::782bd3e640c134c6aff808fdd264ebcf
https://doi.org/10.1007/978-3-031-26507-5_10
https://doi.org/10.1007/978-3-031-26507-5_10
Publikováno v:
Lamurias, A, Tibo, A, Hose, K, Albertsen, M & Nielsen, T D 2022 ' Graph Neural Networks for Microbial Genome Recovery ' arXiv . < https://arxiv.org/abs/2204.12270 >
Aalborg University
Aalborg University
Microbes have a profound impact on our health and environment, but our understanding of the diversity and function of microbial communities is severely limited. Through DNA sequencing of microbial communities (metagenomics), DNA fragments (reads) of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::209cc6ca0e4e7e25d143144403960dbc
https://vbn.aau.dk/da/publications/02e06d1a-1af1-43c6-ae88-6d30291db145
https://vbn.aau.dk/da/publications/02e06d1a-1af1-43c6-ae88-6d30291db145
Publikováno v:
Tibo, A, Nielsen, T D, Jaeger, M, Ahm, M & Rasch, P 2020, ' Automatic Anomaly Detection for Sewage Network Sensors ', IWA World Water Congress & Exhibition, Copenhagen, Denmark, 18/10/2020-23/10/2020 .
Aalborg University
Aalborg University
The DONUT project (Ahm et. al, 2020) aims to provide a holistic view of the urban water system by making continuous water level measurements using a low-cost sensor network. A crucial instrument for ensuring the reliability of the network is the abil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7bb9955db456b1cf74a073addbf6749e
https://vbn.aau.dk/da/publications/7d393ea2-522e-4682-ad8b-577f0d9acd94
https://vbn.aau.dk/da/publications/7d393ea2-522e-4682-ad8b-577f0d9acd94
Publikováno v:
Pellegrini, G, Tibo, A, Frasconi, P, Passerini, A & Jaeger, M 2021, Learning Aggregation Functions . in Proceedings of the Thirty International Joint Conference on Artificial Intelligence (IJCAI-21) . International Joint Conferences on Artificial Intelligence, International Joint Conferences on Artificial Intelligence 2021, Montreal, Canada, 19/08/2021 . https://doi.org/10.24963/ijcai.2021/398
IJCAI
IJCAI
Learning on sets is increasingly gaining attention in the machine learning community, due to its widespread applicability. Typically, representations over sets are computed by using fixed aggregation functions such as sum or maximum. However, recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78e5aa864fab0bebc10d48b323b83866
Publikováno v:
Runtime Verification ISBN: 9783030605070
RV
RV
We propose a framework for monitoring and updating, at run-time, the probabilities of temporal properties of stochastic timed automata. Our method is based on Bayesian networks and can be useful in various real-time applications, such as flight contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d614e5307b31e6f1adca97d026d75d08
https://doi.org/10.1007/978-3-030-60508-7_30
https://doi.org/10.1007/978-3-030-60508-7_30
Publikováno v:
Borghuis, T, Tibo, A, Conforti, S, Brusci, L & Frasconi, P 2019, Full-Band Music Genres Interpolations with Wasserstein Autoencoders . in Ital-IA . Workshop AI for Media and Entertainment, Siena, Italy, 18/03/2019 . < http://dlw2019.cpr.ku.dk/program/ >
Aalborg University
Aalborg University
We compare different types of autoencoders forgenerating interpolations between four-instrumentsmusical patterns in the acid jazz, funk, and soulgenres. Preliminary empirical results suggest thesuperiority of Wasserstein autoencoders. The process of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c91795cef6162c3c657229a4538aab5a
https://vbn.aau.dk/ws/files/319138613/papers_ital_ia19_Ex9KSeV.pdf
https://vbn.aau.dk/ws/files/319138613/papers_ital_ia19_Ex9KSeV.pdf
Publikováno v:
Aalborg University
Tibo, A, Jaeger, M & Frasconi, P 2020, ' Learning and Interpreting Multi-Multi-Instance Learning Networks ', Journal of Machine Learning Research, vol. 21, no. 193, 193, pp. 1-60 .
Tibo, A, Jaeger, M & Frasconi, P 2020, ' Learning and Interpreting Multi-Multi-Instance Learning Networks ', Journal of Machine Learning Research, vol. 21, no. 193, 193, pp. 1-60 .
We introduce an extension of the multi-instance learning problem where examples are organized as nested bags of instances (e.g., a document could be represented as a bag of sentences, which in turn are bags of words). This framework can be useful in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17ddf215d2eb3d576c9840978fd125f8