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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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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...
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Universal Coating by 3D Hybrid Programmable Matter
Motivated by the prospect of nano-robots that assist human physiological functions at the nanoscale, we investigate the coating problem in the...
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Sharding in Permissionless Systems in Presence of an Adaptive Adversary
We present SplitChain, a protocol intended to support the creation of scalable proof of stake and account-based blockchains without undermining...
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Non-negotiating Distributed Computing
A recent trend in distributed computing aims at designing models as simple as possible for capturing the inherently limited computing and...
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Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins
Recent analyses of real-world queries show that a prominent type of queries is that of conjunctive regular path queries. Despite the increasing...
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Can Contrastive Learning Refine Embeddings
Recent advancements in contrastive learning have revolutionized self-supervised representation learning and achieved state-of-the-art performance on...
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Towards Cyber Map** the German Financial System with Knowledge Graphs
The increasing outsourcing by financial intermediaries intensifies the interconnection of the financial system with third-party providers....