JOURNAL PAPERS

Gilboa-Freedman, G., and Smorodinsky R., (2020). 'On the properties that characterize privacy.', Mathematical Social Sciences.

Gilboa-Freedman, G., and Smorodinsky R., (2020). 'On the behavioral implications of differential privacy.', Theoretical Computer Science.

Tuchner, T. and Gilboa-Freedman, G., (2020). 'Bullshit in a network structure: the two-sided influence of self-generated signals', Social Network Analysis and Mining.

Ido Erev, Gail Gilboa-Freedman, Yefim Roth, (2019). 'On the impact of rewarding medium effort and the role of sample size', The journal of behavioral decision making (BDM).

Schroder,  D.,  and Gail Gilboa-Freedman, G. , (2019). 'Decision making under uncertainty: the relation between economic preferences and psychological personality traits', Decision Theoryy.

Gilboa-Freedman, G. and Hassin, R.,  (2016). 'When Markov chains meet: A continuous-time model of network evolution', Statistics & Probability Letters.

Gilboa-Freedman, G., Hassin, R. and Kerner, Y., (2014).  'The price of anarchy in the markovian single server queue', IEEE Transactions on Automatic Control.

Gilboa-Freedman, G. and Hassin, R., (2014). 'Regulation under partial cooperation: The case of a queueing system', Operations Research Letters.

Gilboa, G., Chen, R. and Brenner, N., (2005). 'History-dependent multiple-time-scale dynamics in a single-neuron model', Journal of Neuroscience.

COMPUTER SCIENCE PROCEEDINGS PAPERS

Gilboa-Freedman, G.,  (2023), 'Rigid Clusters, Flexible Networks', Proceedings of the 12th International Conference on Complex Networks and Their Applications (CAN).

Gilboa-Freedman, G., (2023). 'The Price of Data Processing'. Springer - Nature Lecture Notes in Computer Science (LNCS).

Ben-David Y., and Gilboa-Freedman, G., (2022). 'Utilizing Predictive Models to Identify the Influence of Full Prior Distribution in Hypothesis Testing Problems'. Springer - Nature Lecture Notes in Computer Science (LNCS).

Tuchner, T., and Gilboa-Freedman, G., (2020). 'Crying “wolf” in a network structure: the influence of node-generated signals.' Proceedings of the 8th International Conference on Complex Networks and Their Applications (CAN).‏

Gilboa-Freedman, G., Amichai-Hamburger, Y., and Castro D., (2020). 'Who accepts information measure?'. Springer - Nature Lecture Notes in Computer Science (LNCS).

Gilboa-Freedman G., Patelsky, A., and Sheldon, T., (2019). 'LIA: Label-Independent Algorithm for Feature Selection into Supervised Learning', Springer - Nature Lecture Notes in Computer Science (LNCS).

Sherzer, E., Gilboa-Freedman, G., and Levy, H., (2017). 'Resource allocation in a cloud under virus attacks.',. Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools (EAI ValueTools).‏

Jacovi, M., Soroka, V., Gilboa-Freedman, G., Ur, S., Shahar, E. and Marmasse, N., (2006). 'The chasms of CSCW: a citation graph analysis of the CSCW conferene', Proceedings of Computer Supported Cooperative Work (CSCW).

OTHER PEER-REVIEWED FULL PAPER PUBLICATIONS

Gilboa-Freedman G., (2023). 'Personality and Emotions in Choice Problems: Allais paradox', the Lisbon Meetings in Game Theory and Applications.

Gail Gilboa-Freedman, Rann Smorodinsky, (2019). 'Characterization of social choice',  the Lisbon Meetings in Game Theory and Applications.

PATENT

Gilboa-Freedman, G., Marmasse, N. and Soroka, V., 'Differential availability determination and notification'. International Business Machines Corp,  U.S. Patent 7,991,721, (2011).

PRESENTATIONS AT INTERNATIONAL CONFERENCES

"The price of post=processing", (Grasmere, 2023), Learning Optimization and Data (LOD).

“Resource repositioning in distributed clouds”, (Crete, 2023), EAI International Conference on Performance Evaluation Methodologies and Tools (EAI ValueTools).

“Fire together – wire together?”, (Italy, 2022), Complex Networks and their Applications (CAN).

"MaSU: An algorithm for feature selection for unsupervised learning", (Irland, 2019), European Conference on Operational Research (EURO).

"On the impact of matching outside offers", (York, 2018), Foundations of Utility and Risk (FUR).

"On rumor reliability in different networks typologies", (Jerusalem, 2018), European Conference on Queueing Theory (ECQT).

"On the impact of rewarding repentance", (Haifa, 2017), Subjective Probability, Utility and Decision Making (SPUDM).

"Characterization of privacy loss", (Coventry, 2016), Foundations of Utility and Risk (FUR).

"A model for network evolution", (Boston, 2009), Network Science (NETSCI).

"Price of anarchy in the M/M/1 queue", (Bonn, 2009), European Conference on Operations (EURO).

"Regulation under partial cooperation in the M/M/1 queue", (Istanbul, 2009), Workshop of the Turkish and Israeli Operations Research Societies (WITOR).

"SONAR- social networking architecture", (San Jose, 2006), New Paradigm in Using Computers (NPUC).

"Pattern-motifs in the Enron email data sets", (San Jose, 2006), New Paradigm in Using Computers (NPUC).

"A single neuron model with multiple-time-scales dynamics", (Cold Spring Harbour, 2004), Computational SYstems NEuroscience (COSYNE).

מדע פופולרי - ספרים בעברית

אני חושב משמע אני טועה, עם חיים שפירא, הוצאת כנרת זמורה ביתן, 2015.
כולם שונאים מתמטיקה, הוצאת משכל ידיעות אחרונות, 2005.

מדע פופולרי - מאמרים בעברית

הרובוטים הגיעו ואנחנו מפחדים, אלכסון 2023.

מרוץ הבינה המלאכותית: מיקרוסופט וגוגל יכינו לכם את המצגות ויענו למיילים

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