Bid-Based Approach for Pricing Web Service. - Inbal Yahav; Avigdor Gal; Nathan Larson (OTM Conferences (1), 2006)

Bid based scheduler with backfilling for a multiprocessor system. - Inbal Yahav; Louiqa Raschid; Henrique Andrade (ICEC, 2007)

Algorithm Combination for Improved Performance in Biosurveillance Systems. - Inbal Yahav; Galit Shmueli (BioSurveillance, 2007)

A Data analytical Framework for Improving Real-Time, Decision Support Systems in Healthcare. - Inbal Yahav (2010)

Visual Exploration across Biomedical Databases. - Michael D. Lieberman; Sima Taheri; Huimin Guo; Fatemeh Mirrashed; Inbal Yahav; Aleks Aris; Ben Shneiderman (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Managing on-demand computing services with heterogeneous customers. - Inbal Yahav; Itir Z. Karaesmen; Louiqa Raschid (WSC, 2013)

Risk Based Testing of Open Source Software (OSS). - Inbal Yahav; Ron S. Kenett; Xiaoying Bai (COMPSAC Workshops, 2014)

Tackling Simpson's Paradox in Big Data using Classification & Regression Trees. - Galit Shmueli; Inbal Yahav (ECIS, 2014)

Detecting unintentional information leakage in social media news comments. - Inbal Yahav; David G. Schwartz; Gahl Silverman (IRI, 2014)

Data Driven Testing of Open Source Software. - Inbal Yahav; Ron S. Kenett; Xiaoying Bai (ISoLA (2), 2014)

Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores. - Inbal Yahav; Galit Shmueli (Ann. Oper. Res., 2014)

Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance. - Inbal Yahav; Galit Shmueli (Qual. Reliab. Eng. Int., 2014)

Revealing Censored Information Through Comments and Commenters in Online Social Networks. - Giuseppe Cascavilla; Mauro Conti; David G. Schwartz; Inbal Yahav (ASONAM, 2015)

Why not scale free? Simulating company ego networks on Twitter. - Yoav Achiam; Inbal Yahav; David G. Schwartz (ASONAM, 2016)

A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data. - Inbal Yahav; Galit Shmueli; Deepa Mani (MIS Q., 2016)

News censorship in online social networks: A study of circumvention in the commentsphere. - David G. Schwartz; Inbal Yahav; Gahl Silverman (J. Assoc. Inf. Sci. Technol., 2017)

The Information Content of Multiword #Hashtags. - Zvi Ben-Ami; Tomer Geva; Inbal Yahav (ICIS, 2018)

The insider on the outside: a novel system for the detection of information leakers in social networks. - Giuseppe Cascavilla; Mauro Conti; David G. Schwartz; Inbal Yahav (Eur. J. Inf. Syst., 2018)

Comments Mining With TF-IDF: The Inherent Bias and Its Removal. - Inbal Yahav; Onn Shehory; David G. Schwartz (IEEE Trans. Knowl. Data Eng., 2019)

The Guide to Content Moderation: Introducing Crowds to Mitigate the Challenges of the Human Moderator. - Dena Yadin; Inbal Yahav; Lior Zalmanson (ICIS, 2020)

Whom to Test? Active Sampling Strategies for Managing COVID-19. - Yingfei Wang; Inbal Yahav; Balaji Padmanabhan (CoRR, 2020)

Empowering Communities With a Smartphone-Based Response Network for Opioid Overdoses. - Gabriela Marcu; David G. Schwartz; Janna Ataiants; Alexis Roth; Inbal Yahav; Benjamin Cocchiaro; Michael Khalemsky; Stephen Lankenau (IEEE Pervasive Comput., 2020)

Knowledge Contribution Diagrams for Design Science Research: A Novel Graphical Technique. - David G. Schwartz; Inbal Yahav (DESRIST, 2021)

HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition. - Avihay Chriqui; Inbal Yahav (CoRR, 2021)

The Design of Reciprocal Learning Between Human and Artificial Intelligence. - Alexey Zagalsky; Dov Te'eni; Inbal Yahav; David G. Schwartz; Gahl Silverman; Daniel Cohen; Yossi Mann; Dafna Lewinsky (Proc. ACM Hum. Comput. Interact., 2021)

Data-Driven Link Screening for Increasing Network Predictability. - Tomer Geva; Inbal Yahav (IEEE Trans. Knowl. Data Eng., 2021)

Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19. - Yingfei Wang; Inbal Yahav; Balaji Padmanabhan (Inf. Syst. Res., 2024)

Aligning Human and Machine Attention for Enhanced Supervised Learning. - Avihay Chriqui; Inbal Yahav; Dov Te'eni; Ahmed Abbasi (CoRR, 2025)

Human-AI Enhancement of Cyber Threat Intelligence. - Daniel Cohen; Dov Te'eni; Inbal Yahav; Alexey Zagalsky; David G. Schwartz; Gahl Silverman; Yossi Mann; Amir Elalouf; Jeremy Makowski (Int. J. Inf. Sec., 2025)