Isaac Meilijson

40 papers A 1B 1Journal 28Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
The effect of commission scheme in online marketplaces under various information scenarios.
Ann. Oper. Res.
Tal Avinadav, Tatyana Chernonog, Isaac Meilijson, Yael Perlman
2024 J jnl
Dynamic history-dependent tax and environmental compliance monitoring of risk-averse firms.
Ann. Oper. Res.
Noam Goldberg, Isaac Meilijson, Yael Perlman
2023 J jnl
Queueing with Negative Network Effects.
Manuf. Serv. Oper. Manag.
Refael Hassin, Isaac Meilijson, Yael Perlman
2016 A conf
Filtering With the Crowd: CrowdScreen Revisited.
ICDT
Benoît Groz, Ezra Levin, Isaac Meilijson, Tova Milo
2016 J jnl
Splitting matters: how monotone transformation of predictor variables may improve the predictions of decision tree models.
CoRR
Tal Galili, Isaac Meilijson
2011 B conf
A Ribosome Flow Model for Analyzing Translation Elongation - (Extended Abstract).
RECOMB
Shlomi Reuveni, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, Tamir Tuller
2011 J jnl
Genome-Scale Analysis of Translation Elongation with a Ribosome Flow Model.
PLoS Comput. Biol.
Shlomi Reuveni, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, Tamir Tuller
2011 J jnl
The signal model: A model for competing risks of opportunistic maintenance.
Eur. J. Oper. Res.
Tim Bedford, Isha Dewan, Isaac Meilijson, Athena Zitrou
2008 J jnl
Can single knockouts accurately single out gene functions?
BMC Syst. Biol.
David Deutscher, Isaac Meilijson, Stefan Schuster, Eytan Ruppin
2006 J jnl
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value.
Artif. Life
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
2006 J jnl
Gene Expression of
PLoS Comput. Biol.
Alon Kaufman, Gideon Dror, Isaac Meilijson, Eytan Ruppin
2005 J jnl
Quantitative Analysis of Genetic and Neuronal Multi-Perturbation Experiments.
PLoS Comput. Biol.
Alon Kaufman, Alon Keinan, Isaac Meilijson, Martin Kupiec, Eytan Ruppin
2004 J jnl
Causal localization of neural function: the Shapley value method.
Neurocomputing
Alon Keinan, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
2004 J jnl
Fair Attribution of Functional Contribution in Artificial and Biological Networks.
Neural Comput.
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
2003 J jnl
High-Dimensional Analysis of Evolutionary Autonomous Agents.
Artif. Life
Lior Segev, Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
2003 J jnl
Linearization of local probabilistic sensitivity via sample re-weighting.
Reliab. Eng. Syst. Saf.
Roger M. Cooke, Dorota Kurowicka, Isaac Meilijson
2003 J jnl
Localization of Function via Lesion Analysis.
Neural Comput.
Ranit Aharonov-Barki, Lior Segev, Isaac Meilijson, Eytan Ruppin
2002 J jnl
Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors.
Adapt. Behav.
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
2002 J jnl
Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior.
Neurocomputing
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
2001 J jnl
Distributed synchrony in a cell assembly of spiking neurons.
Neural Networks
Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin
2001 J jnl
Effective Neuronal Learning with Ineffective Hebbian Learning Rules.
Neural Comput.
Gal Chechik, Isaac Meilijson, Eytan Ruppin
2001 — conf
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching.
ECAL
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
2001 — conf
Understanding the Agent's Brain: A Quantitative Approach.
ECAL
Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
2000 J jnl
Neuronal normalization provides effective learning through ineffective synaptic learning rules.
Neurocomputing
Gal Chechik, Isaac Meilijson, Eytan Ruppin
2000 — conf
Who Does What? A Novel Algorithm to Determine Function Localization.
NIPS
Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
1999 — conf
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly.
NIPS
David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin
1999 — conf
Effective Learning Requires Neuronal Remodeling of Hebbian Synapses.
NIPS
Gal Chechik, Isaac Meilijson, Eytan Ruppin
1999 J jnl
Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation.
Neural Comput.
Gal Chechik, Isaac Meilijson, Eytan Ruppin
1999 J jnl
Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development.
Neurocomputing
Gal Chechik, Isaac Meilijson, Eytan Ruppin
1998 — ch.
Fast computation in hamming and hopfield networks.
Algorithms and Architectures
Isaac Meilijson, Eytan Ruppin, Moshe Sipper
1998 — conf
Neuronal Regulation Implements Efficient Synaptic Pruning.
NIPS
Gal Chechik, Isaac Meilijson, Eytan Ruppin
1998 J jnl
Synaptic Pruning In Development: A Computational Account.
Neural Comput.
Gal Chechik, Isaac Meilijson, Eytan Ruppin
1996 J jnl
Optimal firing in sparsely-connected low-activity attractor networks.
Biol. Cybern.
Isaac Meilijson, Eytan Ruppin
1995 J jnl
A single-iteration threshold Hamming network.
IEEE Trans. Neural Networks
Isaac Meilijson, Eytan Ruppin, Moshe Sipper
1994 J jnl
Co-monotone allocations, Bickel-Lehmann dispersion and the Arrow-Pratt measure of risk aversion.
Ann. Oper. Res.
Michael Landsberger, Isaac Meilijson
1993 — conf
Optimal Signalling in Attractor Neural Networks.
NIPS
Isaac Meilijson, Eytan Ruppin
1992 — conf
History-Dependent Attractor Neural Networks.
NIPS
Isaac Meilijson, Eytan Ruppin
1992 — conf
Single-Iteration Threshold Hamming Networks.
NIPS
Isaac Meilijson, Eytan Ruppin, Moshe Sipper
1984 J jnl
Minimizing Flow Time on Parallel Identical Processors with Variable Unit Processing Time.
Oper. Res.
Isaac Meilijson, A. Tamir
1984 J jnl
The Organ Pipe Permutation.
SIAM J. Comput.
M. Keane, Alan G. Konheim, Isaac Meilijson