Coronavirus predictions for 2020
Over at r/economics I predicted [last night](https://www.reddit.com/r/Economics/comments/f8l4x8/wall_street_has_a_new_slogan_for_why_stocks_keep/fim5n32/?utm_source=share&utm_medium=web2x) (Sunday...
Tânia Maria - Wikipedia
2026. Feinberg, Scott (October 16, 2025). "Oscar Predictions via Feinberg Forecast: Scott Updates His Picks as Race Enters October". The Hollywood Reporter
Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
Selecting artificial intelligence (AI) models, such as large language models (LLMs), from multiple candidates requires accurate performance estimation. This is ideally achieved through empirical evaluations involving abundant real-world data. However...
On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-V…
With modern infotainment systems, drivers are increasingly tempted to engage in secondary tasks while driving. Since distracted driving is already one of the main causes of fatal accidents, in-vehicle touchscreen Human-Machine Interfaces (HMIs) must...
Ahead of the Count: An Algorithm for Probabilistic Prediction of Instant Runoff (IRV) Elec…
How can we probabilistically predict the winner in a ranked-choice election without all ballots being counted? In this study, we introduce a novel algorithm designed to predict outcomes in Instant Runoff Voting (IRV) elections. The algorithm takes as...
General formulation of the sector-improved residue subtraction
The main theoretical tool to provide precise predictions for scattering cross sections of strongly interacting particles is perturbative QCD. Starting at next-to-leading order (NLO) the calculation suffers from unphysical IR-divergences that cancel i...
Thermodynamic compatibility of actives encapsulated into PEG-PLA nanoparticles: In Silico…
Achieving optimal solubility of active substances in polymeric carriers is of fundamental importance for a number of industrial applications, including targeted drug delivery within the growing field of nanomedicine. However, its experimental optimiz...
Trajectory Planning with Model Predictive Control for Obstacle Avoidance Considering Predi…
This paper introduces a novel trajectory planner for autonomous robots, specifically designed to enhance navigation by incorporating dynamic obstacle avoidance within the Robot Operating System 2 (ROS2) and Navigation 2 (Nav2) framework. The proposed...
Deep Learning-Based Vehicle Speed Prediction for Ecological Adaptive Cruise Control in Urb…
In a typical car-following scenario, target vehicle speed fluctuations act as an external disturbance to the host vehicle and in turn affect its energy consumption. To control a host vehicle in an energy-efficient manner using model predictive contro...
Accurate Predictions in Education with Discrete Variational Inference
One of the largest drivers of social inequality is unequal access to personal tutoring, with wealthier individuals able to afford it, while the majority cannot. Affordable, effective AI tutors offer a scalable solution. We focus on adaptive learning,...
Driver Locations Harvesting Attack on pRide
Privacy preservation in Ride-Hailing Services (RHS) is intended to protect privacy of drivers and riders. pRide, published in IEEE Trans. Vehicular Technology 2021, is a prediction based privacy-preserving RHS protocol to match riders with an optimum...
Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning
Type 1 Diabetes is a chronic autoimmune condition in which the immune system attacks and destroys insulin-producing beta cells in the pancreas, resulting in little to no insulin production. Insulin helps glucose in your blood enter your muscle, fat,...
Camera View Adjustment Prediction for Improving Image Composition
Image composition plays an important role in the quality of a photo. However, not every camera user possesses the knowledge and expertise required for capturing well-composed photos. While post-capture cropping can improve the composition sometimes,...
Robust personnel rostering: how accurate should absenteeism predictions be?
Disruptions to personnel rosters caused by absenteeism often necessitate last-minute adjustments to the employees' working hours. A common strategy to mitigate the impact of such changes is to assign employees to reserve shifts: special on-call dutie...
Algorithmic Songwriting with ALYSIA
This paper introduces ALYSIA: Automated LYrical SongwrIting Application. ALYSIA is based on a machine learning model using Random Forests, and we discuss its success at pitch and rhythm prediction. Next, we show how ALYSIA was used to create original...
The Highest Energy Neutrinos
Some neutrino predictions at the highest energies for a number of production mechanisms are comparatively reviewed in the light of future projects for neutrino detection....
You Must Have Clicked on this Ad by Mistake! Data-Driven Identification of Accidental Clic…
In the cost per click (CPC) pricing model, an advertiser pays an ad network only when a user clicks on an ad; in turn, the ad network gives a share of that revenue to the publisher where the ad was impressed. Still, advertisers may be unsatisfied wit...
Selective Credit Assignment
Efficient credit assignment is essential for reinforcement learning algorithms in both prediction and control settings. We describe a unified view on temporal-difference algorithms for selective credit assignment. These selective algorithms apply wei...
Newer is not always better: Rethinking transferability metrics, their peculiarities, stabi…
Fine-tuning of large pre-trained image and language models on small customized datasets has become increasingly popular for improved prediction and efficient use of limited resources. Fine-tuning requires identification of best models to transfer-lea...
Dallas Cowboys News, Trade Rumors, Injury Report & Depth Chart
1 day ago · Heavy on Cowboys is your mobile-friendly hub for Dallas Cowboys news, rumors, roster moves, depth chart, injury report, schedule, stats and predictions.