Automated machine learning (AutoML) systems commonly ensemble models pos...
Many state-of-the-art automated machine learning (AutoML) systems use gr...
Automated Machine Learning (AutoML) frameworks regularly use ensembles.
...
Recommendation algorithms perform differently if the users, recommendati...
Games such as go, chess and checkers have multiple equivalent game state...
The fashion industry is looking forward to use artificial intelligence
t...
We introduce Auto-Surprise, an Automated Recommender System library.
Aut...
Automated per-instance algorithm selection often outperforms single lear...
Citation parsing, particularly with deep neural networks, suffers from a...
The effectiveness of recommender system algorithms varies in different
r...
In this study, machine learning models were constructed to predict wheth...
Fantasy Premier League (FPL) performance predictors tend to base their
a...
Information about the contributions of individual authors to scientific
...
Memory-augmented neural networks (MANNs) have been shown to outperform o...
Many recommendation algorithms are available to digital library recommen...
Bibliographic reference parsers extract machine-readable metadata such a...
Recommender systems in academia are not widely available. This may be in...
Syllabuses for curriculum learning have been developed on an ad-hoc, per...
Bibliographic reference parsers extract metadata (e.g. author names, tit...
Neural Turing Machines (NTMs) are an instance of Memory Augmented Neural...
We introduce the first living lab for scholarly recommender systems. Thi...
The main contribution of this paper is to introduce and describe a new
r...
In this proposal we present the idea of a "macro recommender system", an...
Citation parsing is fundamental for search engines within academia and t...
"Position bias" describes the tendency of users to interact with items o...
Creating scientific publications is a complex process, typically compose...
Bibliographic reference parsing refers to extracting machine-readable
me...
Bibliographic reference parsing refers to extracting machine-readable
me...
In this position paper, we question the current practice of calculating
...
Only few digital libraries and reference managers offer recommender syst...