Sökning: "Interactive Machine Learning"

Visar resultat 11 - 15 av 52 uppsatser innehållade orden Interactive Machine Learning.

1. 11. Predicting Biomarkers/ Candidate Genes involved in iALL, using Rough Sets based Interpretable Machine Learning Model.

   Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

   Författare :Girish Pulinkala; [2023]
   Nyckelord :Machine Learning; Cancer; Oncology; Acute Lymphoblastic Leukemia; Rough sets; Pathway analysis; Feature selection; Bioinformatics; Computational Biology.;

   Sammanfattning : Acute lymphoblastic leukemia is a hematological malignancy that gains a proliferative advantage and originates in the bone marrow. One of the more common genetic alterations in ALL is KMT2A-rearrangement which constitutes 80% of the cases of ALL in infants. LÄS MER

3. 12. BERTie Bott’s Every Flavor Labels : A Tasty Guide to Developing a Semantic Role Labeling Model for Galician

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Micaella Bruton; [2023]
   Nyckelord :natural language processing; NLP; Galician; low-resource language; low resource language; semantic role labeling; SRL; mBERT; XLM-R; transfer-learning; transfer learning; Spanish; verbal indexing; procesamento de linguaxe natural; NLP; Galego; lingua de recursos limitados; etiquetado de papeis semánticos; SRL; mBERT; XLM-R; aprendizaxe por transferencia; Español; indexación verbal; språkteknologiska verktyg; NLP; naturlig språkbehandling; galiciska; språk med begränsade resurser; semantisk rollmärkning; SRL; mBERT; XLM-R; överföringsinlärning; spanska; verbal indexering; verbalindexering; procesamiento del lenguaje natural; NLP; Gallego; idioma de bajos recursos; etiquetado de roles semánticos; SRL; mBERT; XLM-R; aprendizaje por transferencia; Español; indexación verbal;

   Sammanfattning : For the vast majority of languages, Natural Language Processing (NLP) tools are either absent entirely, or leave much to be desired in their final performance. Despite having nearly 4 million speakers, one such low-resource language is Galician. LÄS MER

4. 13. Fit for Practice? : Reflections on integrating interactive machine learning within in-clinic physiotherapy

   Master-uppsats, Uppsala universitet/Institutionen för informatik och media

   Författare :Lauren van Loo; [2023]
   Nyckelord :Physiotherapy; Interactive Machine Learning; Research-through-Design; Co- reflection; Human-AI interaction;

   Sammanfattning : Interactive machine learning (IML) is a promising approach for personalising physiotherapy training. This thesis uses a research- through-design and reflective approach to explore how IML can be ecologically integrated within in-clinic physiotherapy. LÄS MER

5. 14. ElektroCHAT: A Knowledge Base-Driven Dialogue System for Electrical Engineering Students : A Proposal for Interactive Tutoring

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Fredrik Gölman; [2023]
   Nyckelord :Knowledge base; Knowledge graph; Dialogue system; Chatbot; Electrical engineering; Education; Kunskapsbas; Kunskapsgraf; Dialogsystem; Chatbot; Elektroteknik; Utbildning;

   Sammanfattning : Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate the situation. LÄS MER

7. 15. Evaluating the robustness of DistilBERT to data shift in toxicity detection

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Caroline Larsen; [2022]
   Nyckelord :Machine learning; Natural Language Processing; DistilBERT; Toxicity Detection; Profanity Detection; Hate Speech Identification; Text preprocessing; Maskininlärning; naturligtspråkbehandling; DistilBERT; identifiering av kränkande språk; identifiering av svordomar; textbehandling;

   Sammanfattning : With the rise of social media, cyberbullying and online spread of hate have become serious problems with devastating consequences. Mentimeter is an interactive presentation tool enabling the presentation audience to participate by typing their own answers to questions asked by the presenter. LÄS MER