Blar i Institutt for datateknologi og informatikk på tittel

Classification of Pro-Eating Disorder Users on Twitter

Giæver, Ingrid Nelson (Master thesis, 2018)

For the purpose of this study, 7096 users and 10.7M tweets were collected from Twitter and manually annotated. The data set included users taking part in pro-ED communities and users whose tweets were either recovery-oriented ...

Classification of speech samples using multiple Neural Networks in a tree hierarchy

Piatkowski, Maciej (Master thesis, 2020)

Denne rapporten beskrier et forskningsprosjekt som hadde som mål å utforske metoder til å redusere byrden på det utstyret fra høyeste hylle brukt til å trene nevrale nettverk gjennom å bruke mange mindre nevrale nettverk, ...

Classifying Combined MicroRNA Data Sets

Bjørgan, Vegard (Master thesis, 2019)

Siden funnene av de første mikroRNA i 1993, har forskere funnet flere tusen forskjellige mikroRNA i det menneskelige genomet gjennom de siste tiårene. MikroRNA som tema har blitt spesielt attraktivt for kreftforskningen ...

Classifying European Court of Human Rights cases using transformer based models

Henrik, Hodnefjeld (Master thesis, 2022)

Modeller basert på transformers, som Bidirectional Encoder Representation from Transformers (BERT), har tradisjonelt ikke blitt brukt på tekstsekvenser med større lengde enn setninger. Å kjøre slike modeller har høye ...

Classifying European Court of Human Rights Cases Using Transformer-Based Techniques

Imran, Ali Shariq; Hodnefjeld, Henrik; Kastrati, Zenun; Fatima, Noureen; Daudpota, Sher Muhammad; Wani, Mudasir Ahmad (Peer reviewed; Journal article, 2023)

In the field of text classification, researchers have repeatedly shown the value of transformer-based models such as Bidirectional Encoder Representation from Transformers (BERT) and its variants. Nonetheless, these models ...

Classifying genes based on promotors with deep neural networks

Chakroun Jacobsen, William (Master thesis, 2022)

Denne oppgaven bruker enkeltcellede RNA-genekspresjonsdata fra 10xGenomics for å studere mulighetene for å bruke et dypt nevralt nettverk for å klassifisere gener basert på transkripsjonssekvenser. Gener i DNA har tilsvarende ...

Classifying Glyphs: Combining Evolution and Learning

Rødland, Tiril Anette Langfeldt (Master thesis, 2011)

This dissertation investigates the classification capabilities of artificial neural networks (ANNs). The goal is to generalize over the features of a writing system, and thus classify the writing system of a previously ...

Classifying Hateful and Offensive Language Across Datasets and Domains - A Comparison of Various Transformer-Based Models

Bulukin, Peter Cook (Master thesis, 2021)

Denne oppgaven utforsker kompatibiliteten mellom populære datamengder som inneholder støtende språk ved bruk av språkmodeller forhåndstrente på store skriftsamlinger. Å trene iterativt på forskjellige datamengder viser seg ...

Classifying low confidence miRNA as true and false miRNA

Heggedal, Håkon (Master thesis, 2015)

Micro RNAs (miRNAs) are a group of apx. 22 nucleotide (nt) non-coding RNA sequences, playing an important role in gene regulation. The set of known miRNA for humans are grouped as high confidence (HC) miRNA, and low ...

Classifying OCR Errors for Use in Retrieval Methods for Norwegian Text

Fosse, Eirik (Master thesis, 2018)

Analysing Norwegian documents processed with Optical Character Recognition. Using information gathered about errors, a retrieval system is tested to improve information retrieval despite OCR errors in the text. Corpus ...

Clearing the Shadows: Recovering Lost Performance for Invisible Speculative Execution through HW/SW Co-Design

Tran, Kim-anh; Sakalis, Christos; Själander, Magnus; Ros, Alberto; Kaxiras, Stefanos; Jimborean, Alexandra (Chapter, 2020)

Out-of-order processors heavily rely on speculation to achieve high performance, allowing instructions to bypass other slower instructions in order to fully utilize the processor's resources. Speculatively executed ...

CLET: Computation of Latencies in Event-related potential Triggers using photodiode on virtual reality apparatuses

Swami, Piyush; Gramann, Klaus; Vonstad, Elise Klæbo; Vereijken, Beatrix; Holt, Alexander; Holt, Tomas; Sandstrak, Grethe; Nilsen, Jan Harald; Su, Xiaomeng (Journal article; Peer reviewed, 2023)

Introduction: Most spinal cord injuries (SCI) result in lower extremities paralysis, thus diminishing ambulation. Using brain-computer interfaces (BCI), patients may regain leg control using neural signals that actuate ...

Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action

Dwivedi, Yogesh K.; Hughes, Laurie; Kar, Arpan Kumar; Baabdullah, Abdullah M.; Grover, Purva; Abbas, Roba; Andreini, Daniela; Abumoghli, Iyad; Barlette, Yves; Bunker, Deborah; Chandra Kruse, Leona; Constantiou, Ioanna; Davison, Robert M.; De, Rahul; Dubey, Rameshwar; Fenby-Taylor, Henry; Gupta, Babita; He, Wu; Kodama, Mitsuru; Mäntymäki, Matti; Metri, Bhimaraya; Michael, Katina; Olaisen, Johan Leif; Panteli, Niki; Pekkola, Samuli; Nishant, Rohit; Raman, Ramakrishnan; Rana, Nripendra P.; Rowe, Frantz; Sarker, Suprateek; Scholtz, Brenda; Sein, Maung Kyaw; Shah, Jeel Dharmeshkumar; Teo, Thompson S.H.; Tiwari, Manoj Kumar; Vendelø, Morten Thanning; Wade, Michael (Peer reviewed; Journal article, 2022)

The UN COP26 2021 conference on climate change offers the chance for world leaders to take action and make urgent and meaningful commitments to reducing emissions and limit global temperatures to 1.5 °C above pre-industrial ...