🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

The #CFP is out for our workshop on Deep Learning Methods for Social Media Mining IJCAIconf. Check it out at 2023.maisonworkshop.org #socialmedia #MAISoN2023

#CfP Call for papers for the #IJCAI2023 9th International Workshop on Mining Actionable Insights from Social Networks - Special Edition on Deep Learning Methods for Social Media Mining closes on 26 April 2023! 📣predictive models for actionable insights 👉2023.maisonworkshop.org/committees

Opportunity for travel bursaries for students from equity-seeking groups to attend the Responsible AI conference in Montreal. Please RT for reach NSERC / CRSNG Research – Toronto Metropolitan University CIFAR SSHRC Schwartz Reisman Institute

#ResponsibleAI event was rewarding. Thanks to all who made it a rich experience NSERC / CRSNG NSERC Responsible AI Canadian AI Assoc. / Assoc. canadienne pour l'IA CIFAR Remi Denton N.de Marcellis-Warin @Eleni_Stroulia Sébastien Gambs @NatMayerhofer Samira A.Rahimi, Ph.D. Benjamin Fung Valentine Goddard Sasha Luccioni, PhD 🦋🌎✨🤗 @BorealisAI Mathias Lecuyer

Come join me in the poster session today SIGIR 2025! I will be happy to talk about our paper “Quantifying Ranker Coverage of Different Query Subspaces” w/ Amin Bigdeli Radin and Ebrahim Bagheri #SIGIR2023

IEEE WIE is pleased to invite you to the invited talk on "Gender Fairness in Information Retrieval Systems" by Negar Arabzadeh, on August 9, 2023, from 10:00 AM to 11:00 AM EST. #fairness Please register here: zoom.us/meeting/regist…

#Regulation is a must within the #AI space - My thoughts on the new #GenerativeAI #ResponsibleAI guidelines from the Canadian Government on BNN Bloomberg #AIEthics #AppliedAI NSERC / CRSNG Research – Toronto Metropolitan University NSERC Responsible AI bnnbloomberg.ca/video/regulati…

Excited to share that our short paper "BertPE: a BERT-Based Pre-retrieval Estimator for Query Performance Prediction" has been accepted ECIR2024 #ecir2024 w/ Maryam khodabakhsh and Negar Arabzadeh

I will be giving a talk on Gender Fairness in Information Retrieval systems this Friday at 10am EST. Sign up and join us if you are interested! meetup.com/ucl-wi-meetup-…

Join us for an interesting presentation titled "Fully Automated Scholarly Search for Biomedical Systematic Literature Reviews,"  by Dr. Faezeh Ensan, Assistant Professor Toronto Metropolitan University, on March 19, 2024, at 12:00 pm. register at: zoom.us/meeting/regist…

Today I will be presenting “ LaQuE: Enabling Entity Search at Scale” in entity and ml session ECIR2024 at 11. Join us if you are looking for some resources for entity retrieval task! #ECIR2024 W/ Amin Bigdeli and Ebrahim Bagheri

Negar Arabzadeh is presenting our paper in Entity & ML session ECIR2024. #ECIR2024

Don’t miss our paper titled "BertPE: a BERT-based Pre-retrieval Estimator for Query Performance Prediction" w/ Negar Arabzadeh and Maryam Khodabakhsh today ECIR2024 poster session starting at 4:30 pm.

Interesting talk by Hossein Fani (he/him) on “a Training Strategy for Future Collaborative Team Prediction” ECIR2024

You might be dying to know what I have been up to while not attending #ECIR2024 this week, other than reading the tweets from the conference? have a watch to find out 🕶️ instagram.com/reel/C47_H-Igj…

Stop by my supervisor's poster #ecir2024 Fattane Zarrinkalam ECIR2024

An ounce of mother is worth a ton of priest (Spanish proverb), politition .. researcher ;) and the world needs more of our mothers! Thanks ECIR2024 to make my dream come true, bringing my mom to a cs venue on her birthday! #ecir2024

Reminder: the 37th Canadian Conference on Artificial Intelligence takes place at University of Guelph May 27-31, 2024. The Computer and Robot Vision conference is included. SRI researchers Ishtiaque Ahmed and Marina are giving the Day 2 keynote on responsible AI. 🔗caiac.ca/en/conferences…

Four generations of supervisors and PhD students Canadian AI Conferences w/ Ali Ghorbani Ebrahim Bagheri and Hadiseh Moradi

Dr. Zarrinkalam from University of Guelph Engineering is transforming social media ad targeting through the new "learn-to-rank" framework, which will factor the evolving nature of human interests into producing more accurate and engaging ads. Read more: uoguelph.ca/ceps/news/2024…