Št. zadetkov: 10
Diplomsko delo
Oznake:
knowledge graphs;word embedding;knowledge graph embedding;natural language processing;computer and information science;diploma thesis;
Structured and unstructured textual data requires efficient representation for computation and manipulation. Many different methods have been developed to represent text in numerical form. Some of these methods are based only on statistical metrics, and some introduce the concept of word context. St ...
Leto:
2020
Vir:
Fakulteta za računalništvo in informatiko (UL FRI)
Diplomsko delo
Oznake:
metoda razlage SHAP;razlaga napovednih modelov;biološko predznanje;napovedni model XGBoost;računalništvo;računalništvo in informatika;računalništvo in matematika;interdisciplinarni študij;univerzitetni študij;diplomske naloge;
Za naključne gozdove, nevronske mreže in ostale kompleksnejše modele strojnega učenja je težko povedati, zakaj so podali dano napoved. Težavo rešujejo algoritmi, ki poskušajo razložiti vpliv atributov na napoved ciljne spremenljivke. Eden takšnih je algoritem SHAP, ki glede na vrednost atributa poda ...
Leto:
2021
Vir:
Fakulteta za računalništvo in informatiko (UL FRI)
Raziskovalni podatki
Oznake:
news corpus;sentiment classification;manual annotation
We present a collection of sentiment annotations for news articles (article links) in Croatian language. A set of 2025 news articles was gathered from 24sata, one of the leading media companies in Croatia with the highest circulation. 6 annotators annotated the articles on the document level using a ...
Leto:
2020
Vir:
CLARIN.si
Diplomsko delo
Oznake:
razložljiva umetna inteligenca;razlage modelov;posploševanje razlag;razlage SHAP;računalništvo in informatika;univerzitetni študij;diplomske naloge;
S porastom uporabe kompleksnih modelov strojnega učenja so postale priljubljene post hoc razlagalne metode, kot sta SHAP in LIME. Te metode ustvarijo razlage v obliki prispevkov značilk za določeno napoved. Razlage na nivoju značilk zaradi nejasne povezave s predznanjem niso nujno razumljive človešk ...
Leto:
2021
Vir:
Fakulteta za računalništvo in informatiko (UL FRI)
Pregledni znanstveni članek
Oznake:
patogeni mikroorganizmi;Listeria monocytogenes;biofilm;abiotska površina;protimikrobno delovanje;
Listeria monocytogenes is a highly pathogenic foodborne bacterium that is ubiquitous in the natural environment and capable of forming persistent biofilms in food processing environments. This species has a rich repertoire of surface structures that enable it to survive, adapt and persist in various ...
Leto:
2021
Vir:
Biotehniška fakulteta (UL BF)
Izvirni znanstveni članek
Oznake:
obdelava naravnega jezika;strojno učenje;nevronske mreže transformer;Bayesovske nevronske mreže;modeli BERT;natural language processing;machine learning;transformer neural networks;Bayesian neural networks;BERT models;
Hate speech is an important problem in the management of user-generated content. To remove offensive content or ban misbehaving users, content moderators need reliable hate speech detectors. Recently, deep neural networks based on the transformer architecture, such as the (multilingual) BERT model, ...
Leto:
2022
Vir:
Fakulteta za računalništvo in informatiko (UL FRI)
Izvirni znanstveni članek
Oznake:
izračunavanja;inhibitorji;pokazatelji;proteaze;koronavirusi;COVID-19;SARS-CoV-2;free-energy calculations;in silico drug design;virtual screening;inhibitors;3C-like protease;3CLpro;
COVID-19 represents a new potentially life-threatening illness caused by severe acute respiratory syndrome coronavirus 2 or SARS-CoV-2 pathogen. In 2021, new variants of the virus with multiple key mutations have emerged, such as B.1.1.7, B.1.351, P.1 and B.1.617, and are threatening to render avail ...
Leto:
2021
Vir:
Digitalna knjižnica Univerze v Mariboru (DKUM)
Izvirni znanstveni članek
Oznake:
shizofrenija;delovni spomin;elektroencefalografija EEG;kontralateralna negativnost;gosto pozornostno omrežje;schizophrenia;working memory;electroencephalography EEG;contralateral delay negativity;dense attention network DAN;
Introduction: Patients with schizophrenia typically exhibit deficits in working memory (WM) associated with abnormalities in brain activity. Alterations in the encoding, maintenance and retrieval phases of sequential WM tasks are well established. However, due to the heterogeneity of symptoms and co ...
Leto:
2023
Vir:
Filozofska fakulteta (UL FF)
Blaž Škrlj,
Maruša Pompe Novak,
Günter Brader,
Barbara Anžič,
Živa Ramšak,
Kristina Gruden,
Jan Kralj,
Aleš Kladnik,
Nada Lavrač,
Thomas Roitsch,
Marina Dermastia
Izvirni znanstveni članek
Oznake:
analiza omrežij;fitoplazme;počrnelost lesa;community detection;enrichment analysis;
Understanding temporal biological phenomena is a challenging task that can be approached using network analysis. Here, we explored whether network reconstruction can be used to better understand the temporal dynamics of bois noir, which is associated with ‘Candidatus Phytoplasma solani’, and is one ...
Leto:
2021
Vir:
Repozitorij Univerze v Ljubljani (RUL)
Marina Dermastia,
Blaž Škrlj,
Rebeka Strah,
Barbara Anžič,
Špela Tomaž,
Maja Križnik,
Christina Schönhuber,
Monika Riedle-Bauer,
Živa Ramšak,
Marko Petek,
Aleš Kladnik,
Nada Lavrač,
Kristina Gruden,
Thomas Roitsch,
Günter Brader,
Maruša Pompe Novak
Izvirni znanstveni članek
Oznake:
ʼCandidatus Phytoplasma solaniʼ;vinska trta;počrnelost lesa;RNA-Seq;sRNA-Seq;miRNA;phasiRNA;hormoni;interakcijska omrežja;
Bois noir is the most widespread phytoplasma grapevine disease in Europe. It is associated with ‘Candidatus Phytoplasma solani’, but molecular interactions between the causal pathogen and its host plant are not well understood. In this work, we combined the analysis of high-throughput RNA-Seq and sR ...
Leto:
2021
Vir:
Repozitorij Univerze v Ljubljani (RUL)