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On the Use of Deep Learning Models for Automatic Animal Classification of Native Species in the Amazon
Camera trap image analysis, although critical for habitat and species conservation, is often a manual, time-consuming, and expensive task. Thus,...
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Spatial Shrinkage Prior: A Probabilistic Approach to Model for Categorical Variables with Many Levels
One of the most commonly used methods to prevent overfitting and select relevant variables in regression models with many predictors is the penalized...
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The Importance of Knowing the Arrival Order in Combinatorial Bayesian Settings
We study the measure of order-competitive ratio introduced by Ezra et al. [16] for online algorithms in Bayesian combinatorial settings. In our...
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Nash Stability in Fractional Hedonic Games with Bounded Size Coalitions
We consider fractional hedonic games, a natural and succinct subclass of hedonic games able to model many real-world settings in which agents have to...
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Online Nash Welfare Maximization Without Predictions
The maximization of Nash welfare, which equals the geometric mean of agents’ utilities, is widely studied because it balances efficiency and fairness...
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Equilibrium Analysis of Customer Attraction Games
We introduce a game model called “customer attraction game” to demonstrate the competition among online content providers. In this model, customers...
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Target-Oriented Regret Minimization for Satisficing Monopolists
We study a robust monopoly pricing problem where a seller aspires to sell an item to a buyer. We assume that the seller, unaware of the buyer’s...
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Assessing the Potential of Gene Tree Parsimony for Microbial Phylogenomics
A key challenge in microbial phylogenomics is that microbial gene families are often affected by extensive horizontal gene transfer (HGT). As a...
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Evidence of Increased Adaptation of Omicron SARS-CoV-2 Codons to Humans
Viruses are highly dependent on their hosts to carry out cellular mechanisms and cause productive infection. Thus, they undergo extensive adaptations...
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Revisiting the Effects of MDR1 Variants Using Computational Approaches
P-glycoprotein, encoded by the MDR1 gene, is an ATP-dependent pump that exports various substances out of cells. Its overexpression is related to...
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Maximum Alternating Balanced Cycle Decomposition and Applications in Sorting by Intergenic Operations Problems
In the literature on genome rearrangement, several approaches use different structures to improve the results of genome rearrangement problems. In...
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Gene Tree Parsimony in the Presence of Gene Duplication, Loss, and Incomplete Lineage Sorting
Inferring species trees from multi-locus data needs to account for gene tree discordance due to various biological processes, including incomplete...
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The Complexity of Manipulative Actions in Single-Peaked Societies
Anna and Belle, who now have become so aware of their role as guides in this book that they can even refer to the book’s content, meet on what will...
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In Search of the Lost Tree
A graph whose edges only appear at certain points in time is called a temporal graph (among other names). These graphs are temporally connected if...
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Awake Complexity of Distributed Minimum Spanning Tree
The awake complexity of a distributed algorithm measures the number of rounds in which a node is awake. When a node is not awake, it is slee** and...
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Highly-Efficient Persistent FIFO Queues
In this paper, we study the question whether techniques employed, in a conventional system, by state-of-the-art concurrent algorithms to avoid...
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Deterministic Leader Election for Stationary Programmable Matter with Common Direction
Leader Election is an important primitive for programmable matter, since it is often an intermediate step for the solution of more complex problems....
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Towards Singular Optimality in the Presence of Local Initial Knowledge
The Knowledge Till \(\rho \) (in short, KT-...
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Online Drone Scheduling for Last-Mile Delivery
Delivering a parcel from the distribution hub to the customer’s doorstep is called the last-mile delivery step in delivery logistics. In this paper,...
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Reaching Agreement Among k out of n Processes
In agreement problems, each process has an input value and must choose a decision (output) value. Given...