AAIA'17 Data Mining Challenge: Helping AI to Play Hearthstone

23 марта 2017 — 14 мая 2017
Осталось 2 недели, 4 дня
AAIA'17 Data Mining Challenge is the fourth data mining competition organized within the framework of International Symposium Advances in Artificial Intelligence and Applications (https://fedcsis.org/2017/aaia). This time, the task is to come up with an efficient prediction model which would help AI to play the game of Hearthstone: Heroes of Warcraft. The competition is kindly sponsored by Silver Bullet Solutions and Polish Information Processing Society (PTI).

Global Energy Forecasting Competition 2017

14 октября 2016 — 15 мая 2017
Осталось 2 недели, 5 дней
Emerging technologies, such as microgrids, electric vehicles, rooftop solar panels and intelligent batteries, are challenging the traditional operational practices of the power industry. While uncertainties on the demand side are pushing the operational excellence toward the edge of the grid, probabilistic load forecasting at various levels of the power system hierarchy is becoming increasingly important. GEFCom2017 will bring together state-of-the-art techniques and methodologies for hierarchical probabilistic energy forecasting. The competition features a bi-level setup: a three-month qualifying match that includes two tracks, and a one-month final match on a large-scale problem.

Safe Passage: Detecting And Classifying Vehicles In Aerial Imagery

3 апреля 2017 — 15 мая 2017
Осталось 2 недели, 5 дней
Imagine this scenario: Circumstances in a foreign nation have become increasingly unstable, requiring safe passage for British nationals out of the crisis region. The challenge: We have received aerial imagery data that allows us to identify friendly and suspicious vehicle types. Now, we need you to detect and classify vehicles in these images so that we can assess potential risks along key convoy routes.

Growing Instability: Classifying Crisis Reports

3 апреля 2017 — 15 мая 2017
Осталось 2 недели, 5 дней
Imagine this scenario: A region’s stability is in decline due to unrest, crime and terrorism. We need a better understanding of this humanitarian crisis to decide how best to support the situation, gained through the information contained within a set of reports. The challenge: We have acquired news articles containing potentially relevant information. Using these, we need you to use historical reports to determine the topics for new articles so that they can be classified and prioritised. This will allow analysts to focus on only the most pertinent details of this developing crisis.

MLBootCamp IV

21 апреля 2017 — 21 мая 2017
Осталось 3 недели, 4 дня
Как и в задаче "Бинарные данные", мы снова хотим предложить вам "данные с секретом". Содержательную постановку задачи мы пока не раскрываем и она останется неизвестной до момента окончания соревнования. Вы сможете испытать ваши аналитические способности по полной программе!

Udacity Self-Driving Car Challenge 2017

22 марта 2017 — 31 мая 2017
Осталось 1 месяц
One of the most important aspects of operating an autonomous vehicle is understanding the surrounding environment in order to make safe decisions. Udacity and Didi Chuxing are partnering together to provide incentive for students to come up with the best way to detect obstacles using camera and LIDAR data. This challenge will allow for pedestrian, vehicle, and general obstacle detection that is useful to both human drivers and self-driving car systems.

KDD CUP 2017: Highway Tollgates Traffic Flow Prediction

6 марта 2017 — 1 июня 2017
Осталось 1 месяц
Highway tollgates are well known bottlenecks in traffic networks. During rush hours, long queues at tollgates can overwhelm traffic management authorities. Effective preemptive countermeasures are desired to solve this challenge. Such countermeasures include expediting the toll collection process and streamlining future traffic flow. The expedition of toll collection could be simply allocating temporary toll collectors to open more lanes. Future traffic flow could be streamlined by adaptively tweaking traffic signals at upstream intersections. Preventive countermeasures will only work when the traffic management authorities receive reliable predictions for future traffic flow. For example, if in the next hour heavy incoming traffic is predicted, then the traffic regulators could immediately deploy additional toll collectors and/or divert traffic at upstream intersections.

Fake News Challenge

1 февраля 2017 — 2 июня 2017
Осталось 1 месяц, 1 неделя
The goal of the Fake News Challenge is to explore how artificial intelligence technologies, particularly machine learning and natural language processing, might be leveraged to combat the fake news problem. We believe that these AI technologies hold promise for significantly automating parts of the procedure human fact checkers use today to determine if a story is real or a hoax.

Kaggle: Google Cloud & YouTube-8M Video Understanding Challenge

15 февраля 2017 — 2 июня 2017
Осталось 1 месяц, 1 неделя
Video captures a cross-section of our society. And major advances in analyzing and understanding video have the potential to touch all aspects of life from learning and communication to entertainment and play. In this competition, Google is inviting the Kaggle community to join efforts to accelerate research in large-scale video understanding, while giving participants early access to the Google Cloud Machine Learning (Cloud ML) beta platform.

ACM RecSys Challenge 2017

1 марта 2017 — 4 июня 2017
Осталось 1 месяц, 1 неделя
The ACM RecSys Challenge 2017 is focussing on the problem of job recommendations on XING in a cold-start scenario. The challenge will consists of two phases: offline and online evaluation. Both phases aim at the following task: given a new job posting p, the goal is to identify those users that (a) may be interested in receiving the job posting as a push recommendation and (b) that are also appropriate candidates for the given job.

Kaggle: Quora Question Pairs

17 марта 2017 — 7 июня 2017
Осталось 1 месяц, 1 неделя
Where else but Quora can a physicist help a chef with a math problem and get cooking tips in return? Quora is a place to gain and share knowledge—about anything. It’s a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn from each other and to better understand the world.

Dataring: Построение рекомендательной системы для объявлений Avito

6 апреля 2017 — 11 июня 2017
Осталось 1 месяц, 2 недели
На Avito.ru более 24 миллионов активных объявлений и каждый день огромное количество пользователей ищут необходимые им товары среди бесчисленного множества предложений. Чтобы помочь пользователям, сайт предлагает им несколько объявлений в блоке рекомендаций. От качества таких рекомендаций зависит удобство использования сайта. В этом конкурсе участникам предлагается построить свою рекомендательную систему для объявлений на основе истории активности пользователей в течение последних 6 дней. Под активностью понимаются клики по объявлениям, запрос контакта у объявления, отправка сообщения продавцу и добавление объявления в избранное.

CIKM AnalytiCup 2017

15 марта 2017 — 17 июня 2017
Осталось 1 месяц, 3 недели
CIKM AnalytiCup 2017 is an open competition involving exciting data challenges that are aimed at members of the industry and academia interested in information and knowledge management. SZMB-Alibaba Short-Term Quantitative Precipitation Forecasting Challenge seeks to substantially improve the accuracy of short-term precipitation forecasting based on radar echo extrapolation data.

Kaggle: Intel & MobileODT Cervical Cancer Screening

15 марта 2017 — 21 июня 2017
Осталось 1 месяц, 3 недели
Cervical cancer is so easy to prevent if caught in its pre-cancerous stage that every woman should have access to effective, life-saving treatment no matter where they live. Today, women worldwide in low-resource settings are benefiting from programs where cancer is identified and treated in a single visit. However, due in part to lacking expertise in the field, one of the greatest challenges of these cervical cancer screen and treat programs is determining the appropriate method of treatment which can vary depending on patients’ physiological differences.

Kaggle: NOAA Fisheries Steller Sea Lion Population Count

27 марта 2017 — 27 июня 2017
Осталось 2 месяца
Steller sea lions in the Aleutian Islands have declined 94 percent in the last 30 years. The endangered western population, found in the North Pacific, are the focus of conservation efforts which require annual population counts. Specially trained scientists at NOAA Fisheries Alaska Fisheries Science Center conduct these surveys using airplanes and unoccupied aircraft systems to collect aerial images. Having accurate population estimates enables us to better understand factors that may be contributing to lack of recovery of Stellers in this area.

ILSVRC2017: ImageNet Large Scale Visual Recognition Challenge 2017

2 апреля 2017 — 30 июня 2017
Осталось 2 месяца
This challenge evaluates algorithms for object localization/detection from images/videos at scale. 1. Object localization for 1000 categories. 2. Object detection for 200 fully labeled categories. 3. Object detection from video for 30 fully labeled categories.

Kaggle: Planet Understanding the Amazon from Space

20 апреля 2017 — 20 июля 2017
Осталось 2 месяца, 3 недели
In this competition, Planet and its Brazilian partner SCCON are challenging Kagglers to label satellite image chips with atmospheric conditions and various classes of land cover/land use. Resulting algorithms will help the global community better understand where, how, and why deforestation happens all over the world - and ultimately how to respond.

The PhysioNet/Computing in Cardiology Challenge 2017

1 февраля 2017 — 1 сентября 2017
Осталось 4 месяца, 1 неделя
The 2017 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify, from a single short ECG lead recording (between 30 s and 60 s in length), whether the recording shows normal sinus rhythm, atrial fibrillation (AF), an alternative rhythm, or is too noisy to be classified.

DrivenData: DengAI Predicting Disease Spread

1 января 2017 — 22 декабря 2017
Осталось 8 месяцев
Accurate dengue predictions would help public health workers ... and people around the world take steps to reduce the impact of these epidemics. But predicting dengue is a hefty task that calls for the consolidation of different data sets on disease incidence, weather, and the environment.