Direct Access for Answers to Conjunctive Queries with Aggregation

Subjects: “…Computer Science & Information Science…”
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Understanding the Influence of Collaborative Tasks on User Experience in Moodle

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Redefining Digital Web Signature Secrecy: A Client-Side Model for Enhanced Security and Compliance

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"Mamma mia! Autocorrection ruined my message'': Interaction design challenges in a world of multilinguals

Subjects: “…Computer Science & Information Science…”
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ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS

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EXPLAINING ADDITIVE WEIBULL MODEL PARAMETER ESTIMATION WITH XAI: A SHAP AND LIME ANALYSIS

Subjects: “…Computer Science & Information Science…”
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ENHANCED GNN WITH CAUSAL PROXIMITY VECTORS: BRIDGING CAUSALITY AND PROXIMITY IN GRAPH NEURAL NETWORKS

Subjects: “…Computer Science & Information Science…”
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MULTI-OBJECTIVE-OPTIMIZATION APPROACH FOR OPTIMAL TASK SCHEDUL-ING THROUGH IN DELAY SENSITIVE CLOUD ENVIRONMENT

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A DEEP LEARNING DRIVEN TEXT CLASSIFICATION APPROACH WITH NAMED ENTITY RECOGNITION

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HYBRID FRAMEWORK FOR SENTIMENT ANALYSIS OF PATIENT REVIEWS USING LEXICON BASED BIO-BIDIRECTIONAL ENCODER REPRESENTATIONS FROM TRANSFORMERS

Subjects: “…Computer Science & Information Science…”
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Optimal resource allocation in networks of general single-server finite queues

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Lattice Basis Reduction Attack on Matrix NTRU

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Why Brazilian Organizations Invest in Accessibility? A Strategic Analysis of Motivations, Policies, Benefits and Barriers

Subjects: “…Computer Science & Information Science…”
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Roll Like Thunder: Expert Validation and Refinement of a Design Process to Convey Emotions in Music Visualizations

Subjects: “…Computer Science & Information Science…”
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User Story Estimation using Natural Language Processing and Deep Learning: A Comparative Study

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Assessing the Psychological Impact of AI on Data Science Education: An Exploratory Study

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MPI-Rockstar: a Hybrid MPI and OpenMP Parallel Implementation of the Rockstar Halo finder

Subjects: “…Computer Science & Information Science…”
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DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning

Subjects: “…Computer Science & Information Science…”
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Nexarag: Democratizing Reproducible Knowledge Graph Contexts for LLM Research

Subjects: “…Computer Science & Information Science…”
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ect: A Python Package for the Euler Characteristic Transform

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