AI-Driven Solutions for Improving Childhood Mental Health Care
Explore AI-driven solutions for early detection of mental health concerns in young children, revolutionizing emotional well-being support and providing crucial insights for parents and healthcare providers.
How Implementing Machine Learning Ended Up with an If-Else - Lessons from OpenShift Cluster Prediction
Explore pivotal decisions in ML projects, focusing on extracting value from OpenShift cluster data. Learn to define success metrics and prioritize business goals over trendy technologies.
Interpretability and Out-of-Distribution Generalization in Deep Predictive Models
Explore interpretability and out-of-distribution generalization in deep predictive models, focusing on nuisance-induced spurious correlations and real-time Shapley value estimation techniques.
Sound Dynamic Deadlock Prediction in Linear Time
Explore a novel approach to dynamic deadlock prediction in concurrent systems, introducing sync-preserving deadlocks and efficient algorithms for sound, linear-time detection.
Towards Foundation Models for Electronic Health Records
Explore foundation models for Electronic Health Records, examining their potential and limitations in healthcare decision support and data analysis.
Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning
Explore machine learning's role in predicting opioid use disorder, focusing on algorithmic fairness and ethical considerations in healthcare applications.
Runaway Feedback Loops in Predictive Policing
Explore runaway feedback loops in predictive policing, examining assumptions, theory, and potential solutions to address reinforcement issues in law enforcement algorithms.
Translation Tutorial - People Analytics and Employment Selection
Explore the use of machine learning in employment decisions, covering legal aspects, discrimination theories, and impact measurement of people analytics tools in hiring processes.
Machine Learning and Advanced Analytics in Today's Cyber Security
Explore machine learning and advanced analytics applications in modern cybersecurity, focusing on innovative techniques to enhance threat detection and response in today's digital landscape.
AI vs. Pandemic
Explore how artificial intelligence is being leveraged to combat pandemics, discussing innovative applications and potential future developments in healthcare.
Computing Like the Brain
Explore principles of neocortex-inspired computing, sparse distributed representations, and their impact on future machine intelligence with Numenta founder Jeff Hawkins.
From Data-Mining via Predictive Analytics to Surveillance Capitalism
Erörterung der Entwicklung von Data-Mining zu prädiktiver Analytik und Überwachungskapitalismus, mit Fokus auf gesellschaftliche Auswirkungen und ethische Bedenken der digitalen Überwachung.
Pre-Crime Detection of Active Shooters Using Predictive Policing Systems
Explore how predictive policing and AI can detect potential active shooters by analyzing warning behaviors across various data sources, enabling early intervention and prevention.
The Metrics Manifesto
Discover predictive analytics for security, including decision science, Bayesian methods, and quantitative risk management. Learn to measure attack surface and present advanced metrics to boards.
Can Twitter Really Expose Psychopath Killers' Traits?
Explore the potential of Twitter data to reveal psychopathic traits in killers. Delve into psychological research, profiling techniques, and the intersection of social media and criminal behavior analysis.
Predict the Future - or Don't - with Machine Learning in Applications
Explore machine learning for data-driven predictions in enterprise applications using Oracle Machine Learning. Learn through code examples and demos how to build models and apply insights on database data.
Data Integrity Based Attacks in Investigative Domains - USENIX Enigma Conference - 2016
Exploring data integrity attacks in investigative domains, showcasing real-world cases and strategies to defend against misinformation and manipulation in big data analytics.
The Effect of Differential Victim Crime Reporting on Predictive Policing Systems
Explore how differential victim crime reporting impacts predictive policing systems, analyzing models, synthetic data, and hotspot prediction to improve fairness in law enforcement.
Digital Echoes - Understanding Mass Violence with Data and Statistics
Exploring biases in data collection for mass violence, this talk challenges assumptions about representativeness and demonstrates how statistical analysis can address underreporting in human rights contexts.
Data Analytics and Machine Learning Innovation for Climate and Earth Surface Processes
Explore innovative data analytics and machine learning techniques for climate and Earth surface processes, focusing on big data challenges and opportunities in Earth system modeling and predictability.
The Etiology of Vulnerability Exploitation
Explore the factors influencing vulnerability exploitation through data analysis, challenging conventional scoring systems and offering insights to improve vulnerability management strategies.