◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

P. Ahammad

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedA Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale

4 citations · 4 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2022

Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn

Diana M. Negoescu, Pasha Khosravi, Shadow Zhao +3

Training models on data obtained from randomized experiments is ideal for making good decisions. However, randomized experiments are often time-consuming, expensive, risky, infeasi…

cs.LG2018

MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry

Qingzhu Gao, Humberto Gonzalez, Parvez Ahammad

Development of interpretable machine learning models for clinical healthcare applications has the potential of changing the way we understand, treat, and ultimately cure, diseases…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.