人工智能/數據科學比賽匯總 2019.3

mayaohua 發布于2019-06-26 18:53 / 3440人閱讀

摘要：內容來自，人工智能數據科學比賽整理平臺。本項目由強力支持。天池閱讀更多

內容來自 DataSciComp，人工智能/數據科學比賽整理平臺。Github：iphysresearch/DataSciComp
本項目由 ApacheCN 強力支持。
微博 | 知乎 | CSDN | 簡書 | OSChina | 博客園

全球城市計算AI挑戰賽

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

Note: 大賽以“地鐵乘客流量預測”為賽題，參賽者可通過分析地鐵站的歷史刷卡數據，預測站點未來的客流量變化，幫助實現更合理的出行路線選擇，規避交通堵塞，提前部署站點安保措施等，最終實現用大數據和人工智能等技術助力未來城市安全出行。

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

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

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

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

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

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

March 1-31, 2019 // Host by 天池 // 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

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.

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摘要：主頁暫時下線社區暫時下線知識庫自媒體平臺微博知乎簡書博客園合作侵權，請聯系請抄送一份到特色項目中文文檔和教程與機器學習實用指南人工智能機器學習數據科學比賽系列項目實戰教程文檔代碼視頻數據科學比賽收集平臺，，劍指，經典算法實現系列課本課本描述【主頁】 apachecn.org 【Github】@ApacheCN 暫時下線: 社區暫時下線: cwiki 知識庫自媒體平臺 ...

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