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ORCIDIsaac Meilijson
Person information
- affiliation: Tel Aviv University, School of Mathematical Sciences, Israel
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2020 – today
- 2024
[j26]Noam Goldberg, Isaac Meilijson
, Yael Perlman:
Dynamic history-dependent tax and environmental compliance monitoring of risk-averse firms. Ann. Oper. Res. 334(1): 469-495 (2024)- 2023
- [j25]Refael Hassin, Isaac Meilijson, Yael Perlman:
Queueing with Negative Network Effects. Manuf. Serv. Oper. Manag. 25(5): 1984-1998 (2023)
2010 – 2019
- 2016
- [c11]Benoît Groz, Ezra Levin, Isaac Meilijson, Tova Milo:
Filtering With the Crowd: CrowdScreen Revisited. ICDT 2016: 12:1-12:18 - [i1]Tal Galili, Isaac Meilijson:
Splitting matters: how monotone transformation of predictor variables may improve the predictions of decision tree models. CoRR abs/1611.04561 (2016) - 2011
- [j24]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): 665-673 (2011) - [j23]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) - [c10]Shlomi Reuveni, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, Tamir Tuller:
A Ribosome Flow Model for Analyzing Translation Elongation - (Extended Abstract). RECOMB 2011: 358-360
2000 – 2009
- 2008
- [j22]David Deutscher, Isaac Meilijson, Stefan Schuster, Eytan Ruppin:
Can single knockouts accurately single out gene functions? BMC Syst. Biol. 2: 50 (2008) - 2006
- [j21]Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin:
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value. Artif. Life 12(3): 333-352 (2006) - [j20]Alon Kaufman, Gideon Dror, Isaac Meilijson, Eytan Ruppin:
Gene Expression of Caenorhabditis elegans Neurons Carries Information on Their Synaptic Connectivity. PLoS Comput. Biol. 2(12) (2006) - 2005
- [j19]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) - 2004
- [j18]Alon Keinan, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin:
Causal localization of neural function: the Shapley value method. Neurocomputing 58-60: 215-222 (2004) - [j17]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): 1887-1915 (2004) - 2003
- [j16]Lior Segev, Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin:
High-Dimensional Analysis of Evolutionary Autonomous Agents. Artif. Life 9(1): 1-20 (2003) - [j15]Ranit Aharonov-Barki, Lior Segev, Isaac Meilijson, Eytan Ruppin:
Localization of Function via Lesion Analysis. Neural Comput. 15(4): 885-913 (2003) - [j14]Roger M. Cooke, Dorota Kurowicka, Isaac Meilijson:
Linearization of local probabilistic sensitivity via sample re-weighting. Reliab. Eng. Syst. Saf. 79(2): 131-137 (2003) - 2002
- [j13]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): 5-24 (2002) - [j12]Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin:
Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior. Neurocomputing 44-46: 951-956 (2002) - 2001
- [j11]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Effective Neuronal Learning with Ineffective Hebbian Learning Rules. Neural Comput. 13(4): 817-840 (2001) - [j10]Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin:
Distributed synchrony in a cell assembly of spiking neurons. Neural Networks 14(6-7): 815-824 (2001) - [c9]Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin:
Understanding the Agent's Brain: A Quantitative Approach. ECAL 2001: 216-225 - [c8]Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin:
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching. ECAL 2001: 252-261 - 2000
- [j9]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal normalization provides effective learning through ineffective synaptic learning rules. Neurocomputing 32-33: 345-351 (2000) - [c7]Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin:
Who Does What? A Novel Algorithm to Determine Function Localization. NIPS 2000: 3-9
1990 – 1999
- 1999
- [j8]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development. Neurocomputing 26-27: 633-639 (1999) - [j7]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation. Neural Comput. 11(8): 2061-2080 (1999) - [c6]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. NIPS 1999: 96-102 - [c5]David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin:
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS 1999: 129-135 - 1998
- [j6]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Synaptic Pruning In Development: A Computational Account. Neural Comput. 10(7): 1759-1777 (1998) - [c4]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal Regulation Implements Efficient Synaptic Pruning. NIPS 1998: 97-103 - [p1]Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
Fast computation in hamming and hopfield networks. Algorithms and Architectures 1998: 123-154 - 1996
- [j5]Isaac Meilijson, Eytan Ruppin:
Optimal firing in sparsely-connected low-activity attractor networks. Biol. Cybern. 74(6): 479-485 (1996) - 1995
- [j4]Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
A single-iteration threshold Hamming network. IEEE Trans. Neural Networks 6(1): 261-266 (1995) - 1994
- [j3]Michael Landsberger, Isaac Meilijson:
Co-monotone allocations, Bickel-Lehmann dispersion and the Arrow-Pratt measure of risk aversion. Ann. Oper. Res. 52(2): 97-106 (1994) - 1993
- [c3]Isaac Meilijson, Eytan Ruppin:
Optimal Signalling in Attractor Neural Networks. NIPS 1993: 485-492 - 1992
- [c2]Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
Single-Iteration Threshold Hamming Networks. NIPS 1992: 564-571 - [c1]Isaac Meilijson, Eytan Ruppin:
History-Dependent Attractor Neural Networks. NIPS 1992: 572-579
1980 – 1989
- 1984
- [j2]Isaac Meilijson, A. Tamir:
Minimizing Flow Time on Parallel Identical Processors with Variable Unit Processing Time. Oper. Res. 32(2): 440-448 (1984) - [j1]M. Keane, Alan G. Konheim, Isaac Meilijson:
The Organ Pipe Permutation. SIAM J. Comput. 13(3): 531-540 (1984)
Coauthor Index
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