Isaac Meilijson

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 4

Top Topics

Switching Costs

Proprietary Software

Network Effects

Top Venues

Ann. Oper. Res.

Manuf. Serv. Oper. Manag.

Publications

Noam Goldberg, Isaac Meilijson, Yael Perlman
Dynamic history-dependent tax and environmental compliance monitoring of risk-averse firms. Ann. Oper. Res. 334 (1) (2024)
Refael Hassin, Isaac Meilijson, Yael Perlman
Queueing with Negative Network Effects. Manuf. Serv. Oper. Manag. 25 (5) (2023)
Tal Galili, Isaac Meilijson
Splitting matters: how monotone transformation of predictor variables may improve the predictions of decision tree models. CoRR (2016)
Benoît Groz, Ezra Levin, Isaac Meilijson, Tova Milo
Filtering With the Crowd: CrowdScreen Revisited. ICDT (2016)
Shlomi Reuveni, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, Tamir Tuller
Genome-Scale Analysis of Translation Elongation with a Ribosome Flow Model. PLoS Comput. Biol. 7 (9) (2011)
Tim Bedford, Isha Dewan, Isaac Meilijson, Athena Zitrou
The signal model: A model for competing risks of opportunistic maintenance. Eur. J. Oper. Res. 214 (3) (2011)
Shlomi Reuveni, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, Tamir Tuller
A Ribosome Flow Model for Analyzing Translation Elongation - (Extended Abstract). RECOMB (2011)
David Deutscher, Isaac Meilijson, Stefan Schuster, Eytan Ruppin
Can single knockouts accurately single out gene functions? BMC Syst. Biol. 2 (2008)
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value. Artif. Life 12 (3) (2006)
Alon Kaufman, Gideon Dror, Isaac Meilijson, Eytan Ruppin
Neurons Carries Information on Their Synaptic Connectivity. PLoS Comput. Biol. 2 (12) (2006)
Alon Kaufman, Alon Keinan, Isaac Meilijson, Martin Kupiec, Eytan Ruppin
Quantitative Analysis of Genetic and Neuronal Multi-Perturbation Experiments. PLoS Comput. Biol. 1 (6) (2005)
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
Fair Attribution of Functional Contribution in Artificial and Biological Networks. Neural Comput. 16 (9) (2004)
Alon Keinan, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
Causal localization of neural function: the Shapley value method. Neurocomputing (2004)
Ranit Aharonov-Barki, Lior Segev, Isaac Meilijson, Eytan Ruppin
Localization of Function via Lesion Analysis. Neural Comput. 15 (4) (2003)
Roger M. Cooke, Dorota Kurowicka, Isaac Meilijson
Linearization of local probabilistic sensitivity via sample re-weighting. Reliab. Eng. Syst. Saf. 79 (2) (2003)
Lior Segev, Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
High-Dimensional Analysis of Evolutionary Autonomous Agents. Artif. Life 9 (1) (2003)
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior. Neurocomputing (2002)
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors. Adapt. Behav. 10 (1) (2002)
Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin
Distributed synchrony in a cell assembly of spiking neurons. Neural Networks 14 (6-7) (2001)
Gal Chechik, Isaac Meilijson, Eytan Ruppin
Effective Neuronal Learning with Ineffective Hebbian Learning Rules. Neural Comput. 13 (4) (2001)
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching. ECAL (2001)
Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
Understanding the Agent's Brain: A Quantitative Approach. ECAL (2001)
Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
Who Does What? A Novel Algorithm to Determine Function Localization. NIPS (2000)
Gal Chechik, Isaac Meilijson, Eytan Ruppin
Neuronal normalization provides effective learning through ineffective synaptic learning rules. Neurocomputing (2000)
David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS (1999)
Gal Chechik, Isaac Meilijson, Eytan Ruppin
Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development. Neurocomputing (1999)
Gal Chechik, Isaac Meilijson, Eytan Ruppin
Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. NIPS (1999)
Gal Chechik, Isaac Meilijson, Eytan Ruppin
Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation. Neural Comput. 11 (8) (1999)
Gal Chechik, Isaac Meilijson, Eytan Ruppin
Neuronal Regulation Implements Efficient Synaptic Pruning. NIPS (1998)
Gal Chechik, Isaac Meilijson, Eytan Ruppin
Synaptic Pruning In Development: A Computational Account. Neural Comput. 10 (7) (1998)
Isaac Meilijson, Eytan Ruppin
Optimal firing in sparsely-connected low-activity attractor networks. Biol. Cybern. 74 (6) (1996)
Isaac Meilijson, Eytan Ruppin, Moshe Sipper
A single-iteration threshold Hamming network. IEEE Trans. Neural Networks 6 (1) (1995)
Michael Landsberger, Isaac Meilijson
Co-monotone allocations, Bickel-Lehmann dispersion and the Arrow-Pratt measure of risk aversion. Ann. Oper. Res. 52 (2) (1994)
Isaac Meilijson, Eytan Ruppin
Optimal Signalling in Attractor Neural Networks. NIPS (1993)
Isaac Meilijson, Eytan Ruppin, Moshe Sipper
Single-Iteration Threshold Hamming Networks. NIPS (1992)
Isaac Meilijson, Eytan Ruppin
History-Dependent Attractor Neural Networks. NIPS (1992)