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Metric labeling and semimetric embedding for protein annotation prediction
(Mary Ann Liebert, Inc., 2021-05-01)
Computational techniques have been successful at predicting protein function from relational data (functional or physical interactions). These techniques have been used to generate hypotheses and to direct experimental ...
Manus manum lavat: media clients and servers cooperating with common media client/server data
(ACM, 2021-07-24)
The newly rectified CTA standard - Common Media Client Data (CMCD) - allows content providers to get insights into the performance of their large-scale streaming operations. Its sister standard - Common Media Server Data ...
Foreword
(ACM, 2021)
N/A
Arabic offensive language on twitter: Analysis and experiments
(Association for Computational Linguistics (ACL), 2021)
Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building a large Arabic offensive tweet dataset. We introduce ...
From constituency to UD-Style dependency: Building the first conversion tool of Turkish
(Incoma Ltd, 2021-09)
This paper deliberates on the process of building the first constituency-to-dependency conversion tool of Turkish. The starting point of this work is a previous study in which 10,000 phrase structure trees were manually ...
HisNet: A polarity lexicon based on WordNet for emotion analysis
(Global Wordnet Association, 2021-01)
Dictionary-based methods in sentiment analysis have received scholarly attention recently, the most comprehensive examples of which can be found in English. However, many other languages lack polarity dictionaries, or the ...
Creating domain dependent Turkish WordNet and SentiNet
(Global WordNet Association, 2021)
A WordNet is a thesaurus that has a structured list of words organized depending on their meanings. WordNet represents word senses, all meanings a single lemma may have, the relations between these senses, and their ...
Improving regression performance on monocular 3D object detection using bin-mixing and sparse voxel data
(IEEE, 2021)
Accurate and fast 3D object detection plays a role of paramount importance for safe and capable autonomous machines. LiDAR point cloud based methods have demonstrated impressive results, yet expensive LiDAR sensors make ...
Implementing quantum finite automata algorithms on noisy devices
(Springer, 2021)
Quantum finite automata (QFAs) literature offers an alternative mathematical model for studying quantum systems with finite memory. As a superiority of quantum computing, QFAs have been shown exponentially more succinct ...
Effect of awareness of other side’s gain on negotiation outcome, emotion, argument, and bidding behavior
(Springer, 2021)
Designing agents aiming to negotiate with human counterparts requires additional factors. In this work, we analyze the main elements of human negotiations in a structured human experiment. Particularly, we focus on studying ...
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