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João Pita Costa
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2020 – today
- 2024
- [c7]Jakob Jenko, João Pita Costa, Daniel Vladusic, Urban Bavcar, Rados Cabarkapa:
Learning from the COVID-19 Pandemic to Improve Critical Infrastructure Resilience using Temporal Fusion Transformers. FedCSIS 2024: 375-384 - 2023
- [c6]Jan Antic, João Pita Costa, Ales Cernivec, Matija Cankar, Tomaz Martincic
, Aljaz Potocnik, Gorka Benguria Elguezabal, Nelly Leligou, Ismael Torres Boigues:
Runtime security monitoring by an interplay between rule matching and deep learning-based anomaly detection on logs. DRCN 2023: 1-5 - [c5]Matija Cankar
Security in DevSecOps: Applying Tools and Machine Learning to Verification and Monitoring Steps. ICPE (Companion) 2023: 201-205 - [i6]Joze M. Rozanec, Gasper Petelin, João Pita Costa, Blaz Bertalanic, Gregor Cerar, Marko Gucek, Gregor Papa, Dunja Mladenic:
Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach. CoRR abs/2310.08088 (2023) - 2022
- [j7]M. Besher Massri, João Pita Costa, Andrej Bauer, Marko Grobelnik, Janez Brank, Luka Stopar:
A global COVID-19 observatory, monitoring the pandemics through text mining and visualization. Informatica (Slovenia) 46(1) (2022) - 2021
- [j6]João Pita Costa, Luis Rei
NewsMeSH: A new classifier designed to annotate health news with MeSH headings. Artif. Intell. Medicine 114: 102053 (2021) - [c4]Daniel Vladusic, João Pita Costa, Dragan Radolovic, Kalman Z. Meth, Elisabetta Di Nitto, Alfio Lazzaro, Nina Mujkanovic, Maria Carbonell:
HPC application optimisation in SODALITE. SYSTOR 2021: 23:1 - [i5]Dejan Stepec, Tomaz Martincic, Fabrice Klein, Daniel Vladusic, João Pita Costa:
Machine Learning based System for Vessel Turnaround Time Prediction. CoRR abs/2104.14980 (2021) - [i4]Tomaz Martincic, Dejan Stepec, João Pita Costa, Kristijan Cagran, Athanasios Chaldeakis:
Vessel and Port Efficiency Metrics through Validated AIS data. CoRR abs/2105.00063 (2021) - 2020
- [j5]João Pita Costa, Marko Grobelnik, Flavio Fuart, Luka Stopar, Gorka Epelde, Scott Fischaber, Piotr Poliwoda, Debbie Rankin, Jonathan G. Wallace, Michaela M. Black, Raymond R. Bond, Maurice D. Mulvenna
Meaningful Big Data Integration for a Global COVID-19 Strategy. IEEE Comput. Intell. Mag. 15(4): 51-61 (2020) - [c3]Dejan Stepec, Tomaz Martincic
Machine Learning based System for Vessel Turnaround Time Prediction. MDM 2020: 258-263 - [i3]João Pita Costa, Tihana Galinac Grbac:
A methodology to evaluate the evolution of networks using topological data analysis. CoRR abs/2004.14333 (2020)
2010 – 2019
- 2019
- [j4]João Pita Costa, Jonathan Leech:
On the coset structure of distributive skew lattices. Art Discret. Appl. Math. 2(2) (2019) - [j3]Jonathan Leech, João Pita Costa:
Open problems from NCS 2018. Art Discret. Appl. Math. 2(2) (2019) - 2018
- [j2]Karin Cvetko-Vah, João Pita Costa:
On the Update Operation in Skew Lattices. FLAP 5(8): 1765-1774 (2018) - 2017
- [j1]Lisbeth Fajstrup
On the Hierarchy of d-structures. Order 34(1): 139-163 (2017) - [c2]João Pita Costa:
Topological data analysis and applications. MIPRO 2017: 558-563 - [c1]João Pita Costa, Tihana Galinac Grbac
The Topological Data Analysis of Time Series Failure Data in Software Evolution. ICPE Companion 2017: 25-30 - 2014
- [i2]João Pita Costa, Primoz Skraba, Mikael Vejdemo-Johansson:
Aspects of an internal logic for persistence. CoRR abs/1409.3762 (2014) - [i1]João Pita Costa, Mikael Vejdemo-Johansson, Primoz Skraba:
Variable sets over an algebra of lifetimes: a contribution of lattice theory to the study of computational topology. CoRR abs/1409.8613 (2014)
Coauthor Index
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last updated on 2024-12-05 20:44 CET by the dblp team
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