the proceedings contain 13 papers. the topics discussed include: towards optimizing with large language model;enhancing the reliability of LLMs-based systems for survey generation through distributional drift detectio...
the proceedings contain 13 papers. the topics discussed include: towards optimizing with large language model;enhancing the reliability of LLMs-based systems for survey generation through distributional drift detection;GraphEval: a knowledge-graph based LLM hallucination evaluation framework;enhancing semantic understanding in vision language models using meaning representation negative generation;can LLMs solve reading comprehension tests as second language learners?;Infodeslib: Python library for dynamic ensemble learning using late fusion of multimodal data;design and optimization of heat exchangers using large language models;and encoding medical ontologies with holographic reduced representations for transformers.
the proceedings contain 6 papers. the special focus in this conference is on Deployable Machine Learning for Security Defense. the topics include: Few-Sample Named Entity Recognition for Security Vulnerability Reports...
ISBN:
(纸本)9783030878382
the proceedings contain 6 papers. the special focus in this conference is on Deployable Machine Learning for Security Defense. the topics include: Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-trained Language Models;dexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Representation of Bytecode;attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability;a Survey on Common threats in npm and PyPi Registries.
the proceedings contain 390 papers. the topics discussed include: learning effective road network representation with hierarchical graph neural networks;interpretability is a kind of safety: an interpreter-based ensem...
ISBN:
(纸本)9781450379984
the proceedings contain 390 papers. the topics discussed include: learning effective road network representation with hierarchical graph neural networks;interpretability is a kind of safety: an interpreter-based ensemble for adversary defense;higher-order clustering in complex heterogeneous networks;preserving dynamic attention for long-term spatial-temporal prediction;learning to extract attribute value from product via question answering: a multi-task approach;kernel assisted learning for personalized dose finding;graph structure learning for robust graph neural networks;an efficient neighborhood-based interaction model for recommendation on heterogeneous graph;directional multivariate ranking;truthdiscovery against strategic sybil attack in crowdsourcing;partial multi-label learning via probabilistic graph matching mechanism;attention and memory-augmented networks for dual-view sequential learning;compositional embeddings using complementary partitions for memory-efficient recommendation systems;and structural patterns and generative models of real-world hypergraphs.
the proceedings contain 8 papers. the special focus in this conference is on Deployable Machine Learning for Security Defense. the topics include: FraudFox: Adaptable Fraud Detection in the Real World;towards Practica...
ISBN:
(纸本)9783030596200
the proceedings contain 8 papers. the special focus in this conference is on Deployable Machine Learning for Security Defense. the topics include: FraudFox: Adaptable Fraud Detection in the Real World;towards Practical Robustness Improvement for Object Detection in Safety-Critical Scenarios;Domain Generation Algorithm Detection Utilizing Model Hardening through GAN-Generated Adversarial Examples;toward Explainable and Adaptable Detection and Classification of Distributed Denial-of-Service Attacks;Forecasting Network Intrusions from Security Logs Using LSTMs;DAPT 2020 - Constructing a Benchmark dataset for Advanced Persistent threats.
the proceedings contain 10 papers. the topics discussed include: return of the AI: an analysis of legal research on artificial intelligence using topic modeling;performance in the courtroom: automated processing and v...
the proceedings contain 10 papers. the topics discussed include: return of the AI: an analysis of legal research on artificial intelligence using topic modeling;performance in the courtroom: automated processing and visualization of appeal court decisions in France;toward domain-guided controllable summarization of privacy policies;entropy in legal language;a dataset for statutory reasoning in tax law entailment and question answering;finding contextually consistent information units in legal text;the gap between deep learning and law: predicting employment notice;quick check: a legal research recommendation system;and explaining potentially unfair clauses to the consumer withthe Claudette tool.
the proceedings contain 350 papers. the topics discussed include: a free energy based approach for distance metric learning;a hierarchical career-path-aware neural network for job mobility prediction;a memory-efficien...
ISBN:
(纸本)9781450362016
the proceedings contain 350 papers. the topics discussed include: a free energy based approach for distance metric learning;a hierarchical career-path-aware neural network for job mobility prediction;a memory-efficient sketch method for estimating high similarities in streaming sets;a minimax game for instance based selective transfer learning;a multiscale scan statistic for adaptive submatrix localization;a permutation approach to assess confounding in machine learning applications for digital health;a representation learning framework for property graphs;adaptive deep models for incremental learning: considering capacity scalability and sustainability;and adaptive unsupervised feature selection on attributed networks.
the acm KDD 2024 Health Day theme, "Building Health AI Ecosystem: From data Harmonization to knowledgediscovery," highlights the transformative potential of AI-driven ecosystems in healthcare, translational...
详细信息
ISBN:
(纸本)9798400704901
the acm KDD 2024 Health Day theme, "Building Health AI Ecosystem: From data Harmonization to knowledgediscovery," highlights the transformative potential of AI-driven ecosystems in healthcare, translational biomedical research, and basic biological research. this extended abstract discusses recent advancements, challenges, and future directions, focusing on integrating AIready data sets, interdisciplinary collaborations, and ethical AI practices. It aims to catalyze discussions on the potential of AI ecosystems in revolutionizing healthcare and related fields.
the proceedings contain 7 papers. the topics discussed include: knowledge graph completion with FAMER;tripartite vector representations for better job recommendation;towards learning from user feedback for ontology-ba...
the proceedings contain 7 papers. the topics discussed include: knowledge graph completion with FAMER;tripartite vector representations for better job recommendation;towards learning from user feedback for ontology-based information extraction;towards a benchmark for knowledge base exchange;detecting and correcting typing errors in DBpedia;and a scalable and plug-in based system to construct a production-level knowledge base.
the European data Science Day offers a full day focused exclusively on innovative KDD-relevant research and development projects from national and regional funding programs, as well as corporate, start-up, and nonprof...
详细信息
ISBN:
(纸本)9798400704901
the European data Science Day offers a full day focused exclusively on innovative KDD-relevant research and development projects from national and regional funding programs, as well as corporate, start-up, and nonprofit channels. the idea is to bring together a diverse community of researchers in data Science, Machine Learning, Language Technologies, and knowledgediscovery, as well as partnerships in the social and physical sciences/arts, to showcase the state-of-the-art in research and applications.
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