Results 61 to 70 of about 1,611,945 (272)
Personal Tastes vs. Fashion Trends: Predicting Ratings Based on Visual Appearances and Reviews
IEEE Access, 2018 People have their own tastes on visual appearances of products from various categories. For many of them, the tastes are affected by the current fashion trend.
Yining Liu, Yanming Shen
doaj +1 more source
An Automatic Approach for Document-level Topic Model Evaluation [PDF]
arXiv, 2017 Topic models jointly learn topics and document-level topic distribution. Extrinsic evaluation of topic models tends to focus exclusively on topic-level evaluation, e.g. by assessing the coherence of topics. We demonstrate that there can be large discrepancies between topic- and document-level model quality, and that basing model evaluation on topic ...
arxiv
Labeled Interactive Topic Models [PDF]
arXiv, 2023 Topic models are valuable for understanding extensive document collections, but they don't always identify the most relevant topics. Classical probabilistic and anchor-based topic models offer interactive versions that allow users to guide the models towards more pertinent topics.
arxiv
Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients
Molecular Oncology, EarlyView.Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha +6 more
wiley +1 more source
Evidence map: topics, trends, and policy in the energy transitions literature
Environmental Research Letters, 2020 We develop an evidence map of the academic research on energy transitions (ETs) with a focus on what that literature says about public policy for addressing climate change.
Jiaqi Lu, Gregory F Nemet
doaj +1 more source
Improving Neural Topic Models using Knowledge Distillation [PDF]
arXiv, 2020 Topic models are often used to identify human-interpretable topics to help make sense of large document collections. We use knowledge distillation to combine the best attributes of probabilistic topic models and pretrained transformers. Our modular method can be straightforwardly applied with any neural topic model to improve topic quality, which we ...
arxiv
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Molecular Oncology, EarlyView.Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi +6 more
wiley +1 more source
LogisticsBackground: Autonomous ships have the potential to increase operational efficiency and reduce carbon footprints through technology and innovation. However, there is no comprehensive literature review of all the different types of papers related to ...
Enna Hirata, Annette Skovsted Hansen
doaj +1 more source
Generating Video Descriptions with Topic Guidance [PDF]
arXiv, 2017 Generating video descriptions in natural language (a.k.a. video captioning) is a more challenging task than image captioning as the videos are intrinsically more complicated than images in two aspects. First, videos cover a broader range of topics, such as news, music, sports and so on. Second, multiple topics could coexist in the same video.
arxiv
Explainable and Discourse Topic-aware Neural Language Understanding [PDF]
arXiv, 2020 Marrying topic models and language models exposes language understanding to a broader source of document-level context beyond sentences via topics. While introducing topical semantics in language models, existing approaches incorporate latent document topic proportions and ignore topical discourse in sentences of the document.
arxiv