人工智能/数据科学比赛汇总 2019.3

落日映苍穹つ 2022-02-26 19:08 296阅读 0赞

## [**全球城市计算AI挑战赛**][AI] ##

3月19日 - 4月11日, 2019 // Host by [天池][Link 5] // Prize: ￥300000

**Note**: 大赛以“地铁乘客流量预测”为赛题，参赛者可通过分析地铁站的历史刷卡数据，预测站点未来的客流量变化，帮助实现更合理的出行路线选择，规避交通堵塞，提前部署站点安保措施等，最终实现用大数据和人工智能等技术助力未来城市安全出行。

--------------------

## [**Histopathologic Cancer Detection**][Histopathologic Cancer Detection] ##

Novenber 16, 2018 - March 30, 2019 // Host by [Kaggle][] // Prize: Kaggle Swag

**Note**: Identify metastatic tissue in histopathologic scans of lymph node sections

--------------------

## [**Building Educational Applications 2019 Shared Task: Grammatical Error Correction**][Building Educational Applications 2019 Shared Task_ Grammatical Error Correction] ##

Jan 25 - August 2, 2019 // Host by [CodaLab][] & [BEA 2019 Shared Task Discussion Group][] // Prize: NaN

**Note**: Grammatical error correction (GEC) is the task of automatically correcting grammatical errors in text; e.g. \[I follows his advices -> I followed his advice\].  
There are 3 tracks in the BEA 2019 shared task:  
[Restricted Track][]  
[Unrestricted Track][]  
[Low Resource Track][]

--------------------

## [**Histopathologic Cancer Detection**][Histopathologic Cancer Detection] ##

Now - March 30, 2019 // Host by [Kaggle][] & [Grand Challenges][] // Prize: NaN

**Note**: Identify metastatic tissue in histopathologic scans of lymph node sections

--------------------

## [**SegTHOR: Segmentation of THoracic Organs at Risk in CT images**][SegTHOR_ Segmentation of THoracic Organs at Risk in CT images] ##

Jan. 5, 2018 - Apr. 8, 2019 // Host by [CodaLab][] & [Grand Challenges][] & [ISBI 2019][]// Prize: NaN

**Note**: Our challenge addresses the problem of organs at risk segmentation in Computed Tomography (CT) images.

--------------------

## [**CheXpert: A Large Chest X-Ray Dataset And Competition**][CheXpert_ A Large Chest X-Ray Dataset And Competition] ##

Jan. 5, 2018 - Apr. 8, 2019 // Host by [Stanford ML Group][] & [Grand Challenges][] // Prize: NaN

**Note**: CheXpert is a large dataset of chest X-rays and competition for automated chest x-ray interpretation, which features uncertainty labels and radiologist-labeled reference standard evaluation sets. Develop an algorithm to determine the presence of 14 different abnormalities given a chest radiograph.

--------------------

## [**MolHack 2019**][MolHack 2019] ##

Feb. 24 - Mar. 31 2019 // Host by [CodaLab][] & [CVPR 2019][] // Prize: NaN

**Note**: Verify your residency of **Taiwan**!  
At the minimum, the MolHack challenge will require the participants to build and train a Conditional Generative DNN model that can generate new small molecules such that the newly generated small molecules have similar MACCS fingerprints as the target MACCS fingerprint upon which the generation of the molecules is conditioned.

--------------------

## [**Gridlock Prediction Challenge**][Gridlock Prediction Challenge] ##

March 1-31, 2019 // Host by [天池][Link 5] // Prize: iPhone/iPad/AirPods

**Note**: Task: To estimate the average travel time from designated intersections to tollgates

--------------------

## [**ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction**][ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction] ##

February 10 - April 30 September 2019 // Host by [ICDAR 2019][] & [Baidu][] // Prize: NaN

**Note**: Scanned receipts OCR and information extraction (SROIE) play critical roles in streamlining document-intensive processes and office automation in many financial, accounting and taxation areas.

> [**阅读更多**][DataSciComp]

[DataSciComp]: https://iphysresearch.github.io/DataSciComp/
[iphysresearch_DataSciComp]: https://github.com/iphysresearch/DataSciComp
[ApacheCN]: https://www.apachecn.org/
[Link 1]: https://weibo.com/u/6326715527
[Link 2]: https://www.zhihu.com/people/apachecn
[CSDN]: https://blog.csdn.net/wizardforcel/article/category/8437073
[Link 3]: https://www.jianshu.com/c/4ee721d0c474
[OSChina]: https://my.oschina.net/repine/
[Link 4]: https://www.cnblogs.com/wizardforcel/category/1352397.html
[AI]: https://tianchi.aliyun.com/competition/entrance/231708/introduction?spm=5176.12281905.5490641.1.358b6badpKtnUN
[Link 5]: https://tianchi.aliyun.com/
[Histopathologic Cancer Detection]: https://www.kaggle.com/c/histopathologic-cancer-detection
[Kaggle]: https://www.kaggle.com/
[Building Educational Applications 2019 Shared Task_ Grammatical Error Correction]: https://www.cl.cam.ac.uk/research/nl/bea2019st/
[CodaLab]: https://competitions.codalab.org/
[BEA 2019 Shared Task Discussion Group]: https://groups.google.com/forum/#!forum/bea2019st
[Restricted Track]: https://competitions.codalab.org/competitions/21922
[Unrestricted Track]: https://competitions.codalab.org/competitions/21923
[Low Resource Track]: https://competitions.codalab.org/competitions/21924
[Grand Challenges]: https://grand-challenge.org/challenges/
[SegTHOR_ Segmentation of THoracic Organs at Risk in CT images]: https://competitions.codalab.org/competitions/21012
[ISBI 2019]: https://biomedicalimaging.org/2019/challenges/
[CheXpert_ A Large Chest X-Ray Dataset And Competition]: https://stanfordmlgroup.github.io/competitions/chexpert/
[Stanford ML Group]: https://stanfordmlgroup.github.io/
[MolHack 2019]: https://competitions.codalab.org/competitions/21716
[CVPR 2019]: http://cvpr2019.thecvf.com/
[Gridlock Prediction Challenge]: https://tianchi.aliyun.com/competition/entrance/231698/introduction?spm=5176.12281949.0.0.422976d8ArSxx6
[ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction]: http://rrc.cvc.uab.es/?ch=13
[ICDAR 2019]: http://rrc.cvc.uab.es/
[Baidu]: https://iphysresearch.github.io/DataSciComp/www.baidu.com