A5076236181- Conservation, Biodiversity, and Resource Management
- Topic Modeling
- Forest Management and Policy
- Global trade, sustainability, and social impact
- Mining and Resource Management
- Energy and Environment Impacts
- Agriculture, Land Use, Rural Development
- Natural Language Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Misinformation and Its Impacts
- Online Learning and Analytics
- Recommender Systems and Techniques
- Intelligent Tutoring Systems and Adaptive Learning
- Text Readability and Simplification
- COVID-19 diagnosis using AI
- Rangeland Management and Livestock Ecology
- Advanced MRI Techniques and Applications
- Software System Performance and Reliability
- Auditing, Earnings Management, Governance
- Spam and Phishing Detection
- Caching and Content Delivery
- Video Analysis and Summarization
- Natural Resources and Economic Development
- Economic and Environmental Valuation
University of Copenhagen
2014-2023
Rutgers, The State University of New Jersey
2019
Oregon State University
2019
University of Chicago
2019
Rigshospitalet
2015
Université de Tours
2006
Clinical Investigation Center Plurithematic Tours
2006
Inserm
2006
Ruhr University Bochum
2003
Danish Nature Agency
1995
Recommender systems play an important role in providing engaging experience on online music streaming services. However, the musical domain presents distinctive challenges to recommender systems: tracks are short, listened multiple times, typically consumed sessions with other tracks, and relevance is highly context-dependent. In this paper, we argue that modeling users' preferences at beginning of a session practical effective way address these challenges. Using dataset from Spotify,...
Abstract Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that machine learning (ML) models could be used to predict risks at different stages of management and thereby provide insights into drivers prognostic markers disease progression death. From a cohort approx. 2.6 million citizens in Denmark, SARS-CoV-2 PCR tests were performed on subjects suspected for disease; 3944 cases had least one positive test subjected further analysis. from the...
SUMMARY Although high on the international forest agenda, illegal logging is often ambiguously defined and there considerable uncertainty about its quantitative qualitative characteristics. This obscures assessments of social, economic environmental impacts precludes informed policy conclusions. Through timber export statistics, estimates domestic consumption official harvesting records, extent breakdown to origin, felling agents species groups estimated for Ghana over period 1996–2005 based...
SUMMARY On the basis of a detailed case study High Forest Zone Ghana, paper challenges common narrative REDD as being fast and easy. The analyses proximate underlying causes deforestation degradation finds that these processes are driven by multiple causes. goes on to argue found within realm forestry sector, which measures will be largely confined, have emerged result political economy gives priority economic development over forest conservation, while at same time allowing powerful...
Algorithmic recommendations shape music consumption at scale, and understanding the impact of various algorithmic models on how content is consumed a central question for streaming platforms. The ability to shift towards less popular different from user's typical historic tastes not only affords platform ways handling issues such as filter bubbles popularity bias, but also contributes maintaining healthy sustainable patterns necessary overall success.
Arthritis is a highly prevalent and disabling condition characterized by pathological joint-damage, clinical symptoms of pain loss normal joint function. Monoarthritis can be modelled in rodents via intraarticular injection complete Freund's Adjuvant (CFA), inducing both inflammation pain-like behaviours. This study aimed to compare the outcome different injection-volumes joint-locations, refine model's use improve its validity. Male female rats were injected with CFA into ankle (10, 20 or...
Content-aware recommendation approaches are essential for providing meaningful recommendations new (i.e.,cold-start) items in a recommender system. We present content-aware neural hashing-based collaborative filtering approach (NeuHash-CF), which generates binary hash codes users and items, such that the highly efficient Hamming distance can be used estimating user-item relevance. NeuHash-CF is modelled as an autoencoder architecture, consisting of two joint hashing components generating...
Automatic fact-checking systems detect misinformation, such as fake news, by (i) selecting check-worthy sentences for fact-checking, (ii) gathering related information to the sentences, and (iii) inferring factuality of sentences. Most prior research on uses hand-crafted features select does not explicitly account recent finding that top weighted terms in both non-check-worthy are actually overlapping [15]. Motivated this, we present a neural check-worthiness sentence ranking model...
SUMMARY The paper assesses the size of 19 lumber markets in Ghana based on monitoring vehicles carrying to markets. suggests an annual supply approximately 1 million m3 80% is illegal chainsaw lumber. sales are predominantly for domestic consumption, but a share goes export neighbouring countries. Considering and not covered by study allowing inter-market exchanges, that consumption overland may be order 1.4 m3. Added formal 0.5 m3, total wood approaches 1.9 which corresponds 6 raw...
We present a study performing motion correction (MC) of PET using MR navigators sampled between other protocolled sequences during simultaneous PET/MR brain scanning with the purpose evaluating its clinical feasibility and potential improvement image quality.Twenty-nine human subjects had 30-min [(11)C]-PiB scan including 3D at six time points, which were used to correct for rigid head motion. Five greater than 4 mm reconstructed into frames (one each navigator) averaged one after MC. The...
The study espoused the access analytical framework to investigate how introduction of Participatory Forest Management (PFM) in Kenya has changed various actors' ability benefit from forest resources Eastern Mau Reserve. Data collected through key informant interviews, and a household survey showed that implementation PFM triggered new income opportunities for adjacent communities seedling production beekeeping. However, bestowed no real decision-making powers established Community...
Fast similarity search is a key component in large-scale information retrieval, where semantic hashing has become popular strategy for representing documents as binary hash codes. Recent advances this area have been obtained through neural network based models: generative models trained by learning to reconstruct the original documents. We present novel unsupervised approach, Ranking Semantic Hashing (RBSH) that consists of both variational and ranking component. Similarly autoencoders,...
Recurrent neural networks (RNNs) can model natural language by sequentially 'reading' input tokens and outputting a distributed representation of each token. Due to the sequential nature RNNs, inference time is linearly dependent on length, all inputs are read regardless their importance. Efforts speed up this inference, known as 'neural reading', either ignore or skim over part input. We present Structural-Jump-LSTM: first reading both skip jump text during inference. The consists standard...
Semantic Hashing is a popular family of methods for efficient similarity search in large-scale datasets. In Hashing, documents are encoded as short binary vectors (i.e., hash codes), such that semantic can be efficiently computed using the Hamming distance. Recent state-of-the-art approaches have utilized weak supervision to train better performing hashing models. Inspired by this, we present with Pairwise Reconstruction (PairRec), which discrete variational autoencoder based model. PairRec...