Adapting to Change: Maintaining Scene Models with Qualitative Visual Change Primitives. - Andrew E. Fano; Paul R. Cooper (Research in Computer and Robot Vision, 1995)

Ongoing Research Projects at the Institute for the Learning Sciences. - Roger C. Schank; Andrew E. Fano (Artif. Intell. Rev., 1995)

Memory and Expectations in Learning, Language, and Visual Understanding. - Roger C. Schank; Andrew E. Fano (Artif. Intell. Rev., 1995)

Shopper's Eye: Using Location-Based Filtering for a Shopping Agent in the Physical World. - Andrew E. Fano (Agents, 1998)

Situated Computing: Bridging the Gap between Intention and Action. - Anatole Gershman; Joseph F. McCarthy; Andrew E. Fano (ISWC, 1999)

What are a Location's "File" and "Edit" Menus? - Andrew E. Fano (Pers. Ubiquitous Comput., 2001)

Using Text Mining to Infer Semantic Attributes for Retail Data Mining. - Rayid Ghani; Andrew E. Fano (ICDM, 2002)

The future of business services in the age of ubiquitous computing. - Andrew E. Fano; Anatole Gershman (Commun. ACM, 2002)

Personal choice point: helping users visualize what it means to buy a BMW. - Andrew E. Fano; Scott W. Kurth (IUI, 2003)

Predicting customer shopping lists from point-of-sale purchase data. - Chad M. Cumby; Andrew E. Fano; Rayid Ghani; Marko Krema (KDD, 2004)

Building intelligent shopping assistants using individual consumer models. - Chad M. Cumby; Andrew E. Fano; Rayid Ghani; Marko Krema (IUI, 2005)

Examples of commercial applications of ubiquitous computing. - Anatole Gershman; Andrew E. Fano (Commun. ACM, 2005)

Text mining for product attribute extraction. - Rayid Ghani; Katharina Probst; Yan Liu 002; Marko Krema; Andrew E. Fano (SIGKDD Explor., 2006)

Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions. - Katharina Probst; Rayid Ghani; Marko Krema; Andrew E. Fano; Yan Liu 002 (IJCAI, 2007)

Emerging challenges for large scale systems integration. - Andrew E. Fano (GPCE, 2008)

Causal BERT: Language Models for Causality Detection Between Events Expressed in Text. - Vivek Khetan; Roshni R. Ramnani; Mayuresh Anand; Shubhashis Sengupta; Andrew E. Fano (SAI (1), 2021)

Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights. - Vivek Khetan; K. M. Annervaz; Erin B. Wetherley; Elena Eneva; Shubhashis Sengupta; Andrew E. Fano (CoRR, 2021)

MIMICause : Defining, identifying and predicting types of causal relationships between biomedical concepts from clinical notes. - Vivek Khetan; Md Imbesat Hassan Rizvi; Jessica Huber; Paige Bartusiak; Bogdan Sacaleanu; Andrew E. Fano (CoRR, 2021)

Cross-Domain Reasoning via Template Filling. - Dheeraj Rajagopal; Vivek Khetan; Bogdan Sacaleanu; Anatole Gershman; Andrew E. Fano; Eduard H. Hovy (CoRR, 2021)

Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021. - Adrian Ahne; Vivek Khetan; Xavier Tannier; Md Imbesat Hassan Rizvi; Thomas Czernichow; Francisco Orchard; Charline Bour; Andrew E. Fano; Guy Fagherazzi (CoRR, 2021)

MIMICause: Representation and automatic extraction of causal relation types from clinical notes. - Vivek Khetan; Md Imbesat Hassan Rizvi; Jessica Huber; Paige Bartusiak; Bogdan Sacaleanu; Andrew E. Fano (ACL (Findings), 2022)

Template Filling for Controllable Commonsense Reasoning. - Dheeraj Rajagopal; Vivek Khetan; Bogdan Sacaleanu; Anatole Gershman; Andrew E. Fano; Eduard H. Hovy (IJCNLP (Findings), 2023)