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ORCIDMoshe Sipper
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- affiliation: Ben-Gurion University, Beer Sheva, Israel
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2020 – today
- 2024
[i31]Moshe Sipper:
Task and Explanation Network. CoRR abs/2401.01732 (2024)- [i30]Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
:
New Pathways in Coevolutionary Computation. CoRR abs/2401.10515 (2024) - [i29]Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz:
Coevolving Artistic Images Using OMNIREP. CoRR abs/2401.11167 (2024) - [i28]Moshe Sipper, Jason H. Moore:
Genetic Programming Theory and Practice: A Fifteen-Year Trajectory. CoRR abs/2402.00425 (2024) - [i27]Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein:
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors. CoRR abs/2403.02955 (2024) - [i26]Raz Lapid, Almog Dubin, Moshe Sipper:
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors. CoRR abs/2404.12120 (2024) - [i25]Eliad Shem Tov, Moshe Sipper, Achiya Elyasaf:
Deep Learning-Based Operators for Evolutionary Algorithms. CoRR abs/2407.10477 (2024) - [i24]Tao Daniel Alter, Raz Lapid, Moshe Sipper:
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective. CoRR abs/2408.13809 (2024) - 2023
- [j69]Moshe Sipper:
Combining Deep Learning with Good Old-Fashioned Machine Learning. SN Comput. Sci. 4(1): 85 (2023) - [j68]Moshe Sipper, Tomer Halperin, Itai Tzruia, Achiya Elyasaf:
EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration. SoftwareX 22: 101381 (2023) - [j67]Snir Vitrack Tamam, Raz Lapid, Moshe Sipper:
Foiling Explanations in Deep Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c69]Moshe Sipper, Achiya Elyasaf, Tomer Halperin, Zvika Haramaty, Raz Lapid, Eyal Segal, Itai Tzruia, Snir Vitrack Tamam:
A Melting Pot of Evolution and Learning. GPTP 2023: 143-158 - [c68]Raz Lapid, Moshe Sipper:
I See Dead People: Gray-Box Adversarial Attack on Image-to-Text Models. PKDD/ECML Workshops (5) 2023: 277-289 - [i23]Moshe Sipper:
Classy Ensemble: A Novel Ensemble Algorithm for Classification. CoRR abs/2302.10580 (2023) - [i22]Raz Lapid, Moshe Sipper:
Patch of Invisibility: Naturalistic Black-Box Adversarial Attacks on Object Detectors. CoRR abs/2303.04238 (2023) - [i21]Moshe Sipper, Achiya Elyasaf, Tomer Halperin, Zvika Haramaty, Raz Lapid, Eyal Segal, Itai Tzruia, Snir Vitrack Tamam:
A Melting Pot of Evolution and Learning. CoRR abs/2306.04971 (2023) - [i20]Raz Lapid, Moshe Sipper:
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models. CoRR abs/2306.07591 (2023) - [i19]Raz Lapid, Ron Langberg, Moshe Sipper:
Open Sesame! Universal Black Box Jailbreaking of Large Language Models. CoRR abs/2309.01446 (2023) - [i18]Itai Tzruia, Tomer Halperin, Moshe Sipper, Achiya Elyasaf:
Fitness Approximation through Machine Learning. CoRR abs/2309.03318 (2023) - 2022
- [j66]Moshe Sipper:
High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms. Algorithms 15(9): 315 (2022) - [j65]Raz Lapid, Zvika Haramaty, Moshe Sipper:
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Convolutional Neural Networks. Algorithms 15(11): 407 (2022) - [j64]Moshe Sipper:
Artificial General Intelligence: Pressure Cooker or Crucible? Computer 55(7): 92-96 (2022) - [c67]Moshe Sipper:
Binary and multinomial classification through evolutionary symbolic regression. GECCO Companion 2022: 300-303 - [c66]Raz Lapid, Moshe Sipper:
Evolution of activation functions for deep learning-based image classification. GECCO Companion 2022: 2113-2121 - [c65]Eyal Segal, Moshe Sipper:
Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution. IJCCI 2022: 143-150 - [i17]Moshe Sipper, Jason H. Moore:
Symbolic-Regression Boosting. CoRR abs/2206.12082 (2022) - [i16]Raz Lapid, Moshe Sipper:
Evolution of Activation Functions for Deep Learning-Based Image Classification. CoRR abs/2206.12089 (2022) - [i15]Moshe Sipper:
Neural Networks with A La Carte Selection of Activation Functions. CoRR abs/2206.12166 (2022) - [i14]Moshe Sipper:
Binary and Multinomial Classification through Evolutionary Symbolic Regression. CoRR abs/2206.12706 (2022) - [i13]Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz:
Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. CoRR abs/2206.12707 (2022) - [i12]Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz:
Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. CoRR abs/2206.13509 (2022) - [i11]Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz:
Automatically Balancing Model Accuracy and Complexity using Solution and Fitness Evolution (SAFE). CoRR abs/2206.15409 (2022) - [i10]Moshe Sipper:
Combining Deep Learning with Good Old-Fashioned Machine Learning. CoRR abs/2207.03757 (2022) - [i9]Moshe Sipper:
High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms. CoRR abs/2207.06028 (2022) - [i8]Moshe Sipper, Tomer Halperin, Itai Tzruia, Achiya Elyasaf:
EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration. CoRR abs/2207.10367 (2022) - [i7]Raz Lapid, Zvika Haramaty, Moshe Sipper:
Attackar: Attack of the Evolutionary Adversary. CoRR abs/2208.08297 (2022) - [i6]Eyal Segal, Moshe Sipper:
Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution. CoRR abs/2209.03618 (2022) - [i5]Snir Vitrack Tamam, Raz Lapid, Moshe Sipper:
Foiling Explanations in Deep Neural Networks. CoRR abs/2211.14860 (2022) - 2021
- [j63]Moshe Sipper, Jason H. Moore:
Symbolic-regression boosting. Genet. Program. Evolvable Mach. 22(3): 357-381 (2021) - [j62]Moshe Sipper:
Neural Networks with À La Carte Selection of Activation Functions. SN Comput. Sci. 2(6): 470 (2021) - 2020
- [j61]Moshe Sipper, Jason H. Moore:
Conservation machine learning. BioData Min. 13(1): 9 (2020) - [j60]Moshe Sipper, Jason H. Moore:
Genetic programming theory and practice: a fifteen-year trajectory. Genet. Program. Evolvable Mach. 21(1-2): 169-179 (2020) - [j59]Moshe Sipper, Jason H. Moore:
Gamorithm. IEEE Trans. Games 12(1): 115-118 (2020) - [c64]Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz:
Coevolving Artistic Images Using OMNIREP. EvoMUSART 2020: 165-178 - [c63]Ryan J. Urbanowicz, Moshe Sipper:
Evolutionary algorithms in biomedical data mining: challenges, solutions, and frontiers. GECCO Companion 2020: 1224-1253
2010 – 2019
- 2019
- [j58]Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
Correction to: Investigating the parameter space of evolutionary algorithms. BioData Min. 12(1): 22:1 (2019) - [j57]Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper:
Automated discovery of test statistics using genetic programming. Genet. Program. Evolvable Mach. 20(1): 127-137 (2019) - [j56]Moshe Sipper, Jason H. Moore:
OMNIREP: originating meaning by coevolving encodings and representations. Memetic Comput. 11(3): 251-261 (2019) - [c62]Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz:
Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. CEC 2019: 1868-1874 - [c61]Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz:
Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. EuroGP 2019: 146-161 - [c60]Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper:
Discovering test statistics using genetic programming. GECCO (Companion) 2019: 29-30 - [c59]Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz:
New Pathways in Coevolutionary Computation. GPTP 2019: 295-305 - 2018
- [j55]Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
Investigating the parameter space of evolutionary algorithms. BioData Min. 11(1): 2:1-2:14 (2018) - [j54]Moshe Sipper, Ryan J. Urbanowicz, Jason H. Moore:
To know the objective is not (necessarily) to know the objective function. BioData Min. 11(1): 21:1-21:3 (2018) - [j53]Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore:
EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery. Bioinform. 34(21): 3719-3726 (2018) - [c58]Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
Evolutionary computation: an investigation of parameter space. GECCO (Companion) 2018: 29-30 - [c57]Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore:
EBIC: a next-generation evolutionary-based parallel biclustering method. GECCO (Companion) 2018: 59-60 - [p3]Jason H. Moore, Moshe Sipper:
Grammatical Evolution Strategies for Bioinformatics and Systems Genomics. Handbook of Grammatical Evolution 2018: 395-405 - [i4]Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore:
EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery. CoRR abs/1801.03039 (2018) - [i3]Moshe Sipper, Jason H. Moore:
Gamorithm. CoRR abs/1806.02717 (2018) - 2017
- [j52]Moshe Sipper, Randal S. Olson, Jason H. Moore:
Evolutionary computation: the next major transition of artificial intelligence? BioData Min. 10(1): 26:1-26:3 (2017) - [j51]Moshe Sipper, Jason H. Moore:
Artificial intelligence: more human with human. BioData Min. 10(1): 34:1-34:2 (2017) - [j50]Moshe Sipper:
Paul Rendell: Turing machine universality of the Game of Life - Springer International Publishing, Switzerland, XV, 177 (141 b/w illustrations), ISBN: eBook 978-3-319-19842-2, Hardcover 978-3-319-19841-5, Softcover 978-3-319-37044-6. Genet. Program. Evolvable Mach. 18(1): 115-117 (2017) - [c56]Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, Patryk Orzechowski, Ryan J. Urbanowicz, John H. Holmes, Jason H. Moore:
A System for Accessible Artificial Intelligence. GPTP 2017: 121-134 - [r5]Moshe Sipper:
Evolutionary Games. Encyclopedia of Machine Learning and Data Mining 2017: 457-465 - [r4]Moshe Sipper:
Genetic Programming. Encyclopedia of Machine Learning and Data Mining 2017: 568 - [i2]Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, John H. Holmes, Jason H. Moore:
A System for Accessible Artificial Intelligence. CoRR abs/1705.00594 (2017) - [i1]Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms. CoRR abs/1706.04119 (2017) - 2016
- [c55]Itay Azaria, Achiya Elyasaf, Moshe Sipper:
Evolving Artificial General Intelligence for Video Game Controllers. GPTP 2016: 53-63 - 2015
- [c54]Achiya Elyasaf, Pavel Vaks, Nimrod Milo, Moshe Sipper, Michal Ziv-Ukelson:
Learning Heuristics for Mining RNA Sequence-Structure Motifs. GPTP 2015: 21-38 - 2014
- [j49]Moshe Sipper:
Commentary on "Genetic Programming and Emergence". Genet. Program. Evolvable Mach. 15(1): 91-93 (2014) - [j48]Achiya Elyasaf, Moshe Sipper:
Software review: the HeuristicLab framework. Genet. Program. Evolvable Mach. 15(2): 215-218 (2014) - [j47]Daniele Loiacono, Moshe Sipper:
Special issue on GECCO competitions. Genet. Program. Evolvable Mach. 15(4): 375-377 (2014) - [j46]Amit Benbassat, Moshe Sipper:
EvoMCTS: A Scalable Approach for General Game Learning. IEEE Trans. Comput. Intell. AI Games 6(4): 382-394 (2014) - [c53]Karthik Kannappan, Lee Spector, Moshe Sipper, Thomas Helmuth, William G. La Cava, Jake Wisdom, Omri Bernstein:
Analyzing a Decade of Human-Competitive ("HUMIE") Winners: What Can We Learn? GPTP 2014: 149-166 - 2013
- [c52]Amit Benbassat, Moshe Sipper:
EvoMCTS: Enhancing MCTS-based players through genetic programming. CIG 2013: 1-8 - [c51]Achiya Elyasaf, Moshe Sipper:
HH-evolver: a system for domain-specific, hyper-heuristic evolution. GECCO (Companion) 2013: 1285-1292 - [c50]Gali Katz, Amit Benbassat, Liana Diesendruck, Moshe Sipper, Avishai Henik:
From size perception to counting: an evolutionary computation point of view. GECCO (Companion) 2013: 1675-1678 - [c49]Amit Benbassat, Moshe Sipper:
Evolving artificial neural networks with FINCH. GECCO (Companion) 2013: 1719-1720 - [c48]Achiya Elyasaf, Michael Orlov, Moshe Sipper:
A heuristiclab evolutionary algorithm for FINCH. GECCO (Companion) 2013: 1727-1728 - [p2]Peter I. Cowling, Michael Buro, Michal Bída, Adi Botea, Bruno Bouzy, Martin V. Butz, Philip Hingston, Hector Muñoz-Avila, Dana S. Nau, Moshe Sipper:
Search in Real-Time Video Games. Artificial and Computational Intelligence in Games 2013: 1-19 - 2012
- [j45]Achiya Elyasaf, Ami Hauptman, Moshe Sipper:
Evolutionary Design of FreeCell Solvers. IEEE Trans. Comput. Intell. AI Games 4(4): 270-281 (2012) - [j44]Moshe Sipper:
Ubiquity symposium: Evolutionary computation and the processes of life: Darwinian software engineering: the short term, the middle ground, and the long haul. Ubiquity 2012(December): 2:1-2:6 (2012) - [c47]Amit Benbassat, Moshe Sipper:
Evolving both search and strategy for Reversi players using genetic programming. CIG 2012: 47-54 - [c46]Amit Benbassat, Moshe Sipper:
Evolving players that use selective game-tree search with genetic programming. GECCO (Companion) 2012: 631-632 - 2011
- [j43]Kfir Wolfson, Shay Zakov, Moshe Sipper, Michal Ziv-Ukelson:
Have your spaghetti and eat it too: evolutionary algorithmics and post-evolutionary analysis. Genet. Program. Evolvable Mach. 12(2): 121-160 (2011) - [j42]Yehonatan Shichel, Moshe Sipper:
GP-RARS: evolving controllers for the Robot Auto Racing Simulator. Memetic Comput. 3(2): 89-99 (2011) - [j41]Michael Orlov, Moshe Sipper:
Flight of the FINCH Through the Java Wilderness. IEEE Trans. Evol. Comput. 15(2): 166-182 (2011) - [c45]Amit Benbassat, Moshe Sipper:
Evolving board-game players with genetic programming. GECCO (Companion) 2011: 739-742 - [c44]Achiya Elyasaf, Ami Hauptman, Moshe Sipper:
GA-FreeCell: evolving solvers for the game of FreeCell. GECCO 2011: 1931-1938 - [c43]Achiya Elyasaf, Yael Zaritsky, Ami Hauptman, Moshe Sipper:
Evolving Solvers for FreeCell and the Sliding-Tile Puzzle. SOCS 2011: 189-190 - [c42]Michael Orlov, Carmel Bregman, Moshe Sipper:
Automatic Evolution of Java-Written Game Heuristics. SSBSE 2011: 277 - 2010
- [c41]Amit Benbassat, Moshe Sipper:
Evolving Lose-Checkers players using genetic programming. CIG 2010: 30-37 - [c40]Ami Hauptman, Achiya Elyasaf, Moshe Sipper:
Evolving Hyper Heuristic-Based Solvers for Rush Hour and FreeCell. SOCS 2010: 149-150 - [r3]Moshe Sipper:
Evolutionary Games. Encyclopedia of Machine Learning 2010: 362-369 - [r2]Moshe Sipper:
Genetic Programming. Encyclopedia of Machine Learning 2010: 457
2000 – 2009
- 2009
- [c39]Kfir Wolfson, Moshe Sipper:
Evolving Efficient List Search Algorithms. Artificial Evolution 2009: 158-169 - [c38]Ami Hauptman, Achiya Elyasaf, Moshe Sipper, Assaf Karmon:
GP-rush: using genetic programming to evolve solvers for the rush hour puzzle. GECCO 2009: 955-962 - [c37]Michael Orlov, Moshe Sipper:
Genetic programming in the wild: evolving unrestricted bytecode. GECCO 2009: 1043-1050 - [c36]Ilan Kadar, Ohad Ben-Shahar, Moshe Sipper:
Evolution of a local boundary detector for natural images via genetic programming and texture cues. GECCO 2009: 1887-1888 - [r1]Michael Orlov, Moshe Sipper, Ami Hauptman:
Genetic and Evolutionary Algorithms and Programming: General Introduction and Application to Game Playing. Encyclopedia of Complexity and Systems Science 2009: 4133-4145 - 2008
- [j40]Moshe Sipper, Mario Giacobini:
Introduction to Special Section on Evolutionary Computation in Games. Genet. Program. Evolvable Mach. 9(4): 279-280 (2008) - [c35]Assaf Glazer, Moshe Sipper:
Evolving an Automatic Defect Classification Tool. EvoWorkshops 2008: 194-203 - [c34]Moshe Sipper:
Evolutionary computation & games. GECCO (Companion) 2008: 2741-2776 - [c33]Ilan Kadar, Ohad Ben-Shahar, Moshe Sipper:
Evolving boundary detectors for natural images via Genetic Programming. ICPR 2008: 1-4 - 2007
- [j39]Ami Hauptman, Moshe Sipper:
Emergence of Complex Strategies in the Evolution of Chess Endgame Players. Adv. Complex Syst. 10(supp01): 35-59 (2007) - [j38]Shahar Michal, Tor Ivry, Omer Cohen, Moshe Sipper, Danny Barash:
Finding a Common Motif of RNA Sequences Using Genetic Programming: The GeRNAMo System. IEEE ACM Trans. Comput. Biol. Bioinform. 4(4): 596-610 (2007) - [j37]Moshe Sipper, Yaniv Azaria, Ami Hauptman, Yehonatan Shichel:
Designing an Evolutionary Strategizing Machine for Game Playing and Beyond. IEEE Trans. Syst. Man Cybern. Part C 37(4): 583-593 (2007) - [c32]Ami Hauptman, Moshe Sipper:
Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess. EuroGP 2007: 78-89 - 2006
- [j36]Moshe Sipper:
Book ReviewKinematic Self-Replicating Machines.Robert A. Freitas, Jr., andRalph C. Merkle. (2004 Landes Bioscience.) $150.00, xxi+341 pp. Artif. Life 12(1): 187-188 (2006) - [j35]Shai Sharabi, Moshe Sipper:
GP-Sumo: Using genetic programming to evolve sumobots. Genet. Program. Evolvable Mach. 7(3): 211-230 (2006) - [j34]Jirí Kroc, Roland Vollmar, Moshe Sipper, Samira El Y. Coubi:
Guest Editors Introduction: Special Issue on Modelling of Complex Systems by Cellular Automata. J. Cell. Autom. 1(2): 87-89 (2006) - [c31]Moshe Sipper:
Attaining Human-Competitive Game Playing with Genetic Programming. ACRI 2006: 13 - 2005
- [j33]Yaniv Azaria, Moshe Sipper:
GP-Gammon: Genetically Programming Backgammon Players. Genet. Program. Evolvable Mach. 6(3): 283-300 (2005) - [c30]Ami Hauptman, Moshe Sipper:
GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players. EuroGP 2005: 120-131 - [c29]Yaniv Azaria, Moshe Sipper:
Using GP-Gammon: Using Genetic Programming to Evolve Backgammon Players. EuroGP 2005: 132-142 - [c28]Yehonatan Shichel, Eran Ziserman, Moshe Sipper:
GP-Robocode: Using Genetic Programming to Evolve Robocode Players. EuroGP 2005: 143-154 - 2004
- [j32]André Stauffer, Moshe Sipper:
The Data-and-Signals Cellular Automaton and Its Application to Growing Structures. Artif. Life 10(4): 463-477 (2004) - [j31]Assaf Zaritsky, Moshe Sipper:
The preservation of favored building blocks in the struggle for fitness: the puzzle algorithm. IEEE Trans. Evol. Comput. 8(5): 443-455 (2004) - [c27]Yehudit Hasson, Moshe Sipper:
A Novel Ant Algorithm for Solving the Minimum Broadcast Time Problem. PPSN 2004: 501-510 - 2003
- [j30]Alon Gal, Gady Mahal, Moshe Sipper:
Evolutionary Plantographics. Artif. Life 9(2): 191-205 (2003) - [c26]André Stauffer, Moshe Sipper:
Biomorphs Implemented as a Data and Signals Cellular Automaton. ECAL 2003: 724-732 - [c25]André Stauffer, Moshe Sipper:
Data and Signals: A New Kind of Cellular Automaton for Growing Systems. Evolvable Hardware 2003: 245-251 - 2002
- [j29]André Stauffer, Moshe Sipper:
An Interactive Self-Replicator Implemented in Hardware. Artif. Life 8(2): 175-183 (2002) - [j28]Christof Teuscher, Moshe Sipper:
Hypercomputation: hype or computation?. Commun. ACM 45(8): 23-24 (2002) - [c24]André Stauffer, Moshe Sipper:
Emergence of Self-Replicating Loops in an Interactive, Hardware-Implemented Game-of-Life Environment. ACRI 2002: 123-131 - [c23]Carlos Andrés Peña-Reyes, Moshe Sipper, Luis Prieto:
Sensitive, specific, and interpretable: evolving a fuzzy mammographic-interpretation assessment tool. FUZZ-IEEE 2002: 837-842 - 2001
- [j27]Moshe Sipper:
On the Origin of Environments by Means of Natural Selection. AI Mag. 22(4): 133-140 (2001) - [j26]Edmund M. A. Ronald, Moshe Sipper:
Intelligence is not Enough: On the Socialization of Talking Machines. Minds Mach. 11(4): 567-576 (2001) - [j25]Edmund M. A. Ronald, Moshe Sipper:
Surprise versus unsurprise: Implications of emergence in robotics. Robotics Auton. Syst. 37(1): 19-24 (2001) - [j24]Carlos Andrés Peña-Reyes, Moshe Sipper:
Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling. IEEE Trans. Fuzzy Syst. 9(5): 727-737 (2001) - [c22]André Stauffer, Moshe Sipper:
Externally Controllable and Destructible Self-Replicating Loops. ECAL 2001: 282-291 - 2000
- [j23]Carlos Andrés Peña-Reyes, Moshe Sipper:
Evolutionary computation in medicine: an overview. Artif. Intell. Medicine 19(1): 1-23 (2000) - [j22]Edmund M. A. Ronald, Moshe Sipper:
What use is a turing chatterbox? Commun. ACM 43(10): 21-23 (2000) - [j21]Moshe Sipper:
A success story or an old wives' tale? On judging experiments in evolutionary computation. Complex. 5(4): 31-33 (2000) - [j20]Moshe Sipper, Eduardo Sanchez:
Configurable Chips Meld Software and Hardware. Computer 33(1): 120-121 (2000) - [j19]Edmund M. A. Ronald, Moshe Sipper:
The Challenge of Tamperproof Internet Computing. Computer 33(9): 98-99 (2000) - [j18]Daniel Mange, Moshe Sipper, André Stauffer, Gianluca Tempesti:
Toward robust integrated circuits: The embryonics approach. Proc. IEEE 88(4): 516-543 (2000) - [j17]Marco Tomassini, Moshe Sipper, Mathieu Perrenoud:
On the Generation of High-Quality Random Numbers by Two-Dimensional Cellular Automata. IEEE Trans. Computers 49(10): 1146-1151 (2000) - [c21]Carlos A. Peña-Reyes, Moshe Sipper:
Applying Fuzzy CoCo to breast cancer diagnosis. CEC 2000: 1168-1175 - [c20]Daniel Mange, Moshe Sipper, André Stauffer, Gianluca Tempesti:
Toward Self-Repairing and Self-Replicating Hardware: The Embryonics Approach. Evolvable Hardware 2000: 205-214 - [c19]Ron Levy, Stefano Lepri, Eduardo Sanchez, Gilles Ritter, Moshe Sipper:
Slate of the Art: An Evolving FPGA-Based Board for Handwritten-Digit Recognition. Evolvable Hardware 2000: 237-244
1990 – 1999
- 1999
- [j16]Edmund M. A. Ronald, Moshe Sipper, Mathieu S. Capcarrère:
Design, Observation, Surprise! A Test of Emergence. Artif. Life 5(3): 225-239 (1999) - [j15]Carlos Andrés Peña-Reyes, Moshe Sipper:
A fuzzy-genetic approach to breast cancer diagnosis. Artif. Intell. Medicine 17(2): 131-155 (1999) - [j14]Moshe Sipper, Daniel Mange, Eduardo Sanchez:
Quo Vadis Evolvable Hardware? Commun. ACM 42(4): 50-56 (1999) - [j13]Moshe Sipper:
Notes on the origin of evolutionary computation. Complex. 4(5): 15-21 (1999) - [j12]Moshe Sipper:
The Emergence of Cellular Computing. Computer 32(7): 18-26 (1999) - [j11]Mathieu S. Capcarrère, Andrea Tettamanzi, Marco Tomassini, Moshe Sipper:
A Statistical Study of a Class of Cellular Evolutionary Algorithms. Evol. Comput. 7(3): 255-274 (1999) - [j10]Marco Tomassini, Moshe Sipper, Mosé Zolla, Mathieu Perrenoud:
Generating high-quality random numbers in parallel by cellular automata. Future Gener. Comput. Syst. 16(2-3): 291-305 (1999) - [j9]Eduardo Sanchez, Moshe Sipper, Jacques-Olivier Haenni, Jean-Luc Beuchat, André Stauffer, Andrés Pérez-Uribe:
Static and Dynamic Configurable Systems. IEEE Trans. Computers 48(6): 556-564 (1999) - [j8]Moshe Sipper, Marco Tomassini:
Computation in Artificially Evolved, Non-Uniform Cellular Automata. Theor. Comput. Sci. 217(1): 81-98 (1999) - [j7]Moshe Sipper, Daniel Mange, Andrés Pérez-Uribe:
Evolvable systems 1998-Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware (ICES'98) . IEEE Trans. Evol. Comput. 3(2): 157-158 (1999) - [c18]Edmund M. A. Ronald, Moshe Sipper, Mathieu S. Capcarrère:
Testing for Emergence in Artificial Life. ECAL 1999: 13-20 - 1998
- [j6]Moshe Sipper, Daniel Mange:
Von Neumann's Quintessential Message: Genotype + Ribotype = Phenotype. Artif. Life 4(3): 225-227 (1998) - [j5]Moshe Sipper:
Fifty Years of Research on Self-Replication: An Overview. Artif. Life 4(3): 237-257 (1998) - [c17]André Stauffer, Moshe Sipper, Andrés Pérez-Uribe:
Some Applications of FPGAs in Bio-Inspired Hardware. FCCM 1998: 278-279 - [c16]André Stauffer, Moshe Sipper:
Modeling Cellular Development Using L-Systems. ICES 1998: 196-205 - [c15]Mathieu S. Capcarrère, Andrea Tettamanzi, Marco Tomassini, Moshe Sipper:
Studying Parallel Evolutionary Algorithms: The Cellular Programming Case. PPSN 1998: 573-582 - [c14]Moshe Sipper:
Simple + Parallel + Local = Cellular Computing. PPSN 1998: 653-662 - [p1]Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
Fast computation in hamming and hopfield networks. Algorithms and Architectures 1998: 123-154 - [e1]Moshe Sipper, Daniel Mange, Andrés Pérez-Uribe:
Evolvable Systems: From Biology to Hardware, Second International Conference, ICES 98, Lausanne, Switzerland, September 23-25, 1998, Proceedings. Lecture Notes in Computer Science 1478, Springer 1998, ISBN 3-540-64954-9 [contents] - 1997
- [b2]Moshe Sipper:
Evolution of Parallel Cellular Machines, The Cellular Programming Approach. Lecture Notes in Computer Science 1194, Springer 1997, ISBN 3-540-62613-1 - [j4]Moshe Sipper, Eduardo Sanchez, Daniel Mange, Marco Tomassini, Andrés Pérez-Uribe, André Stauffer:
A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems. IEEE Trans. Evol. Comput. 1(1): 83-97 (1997) - [c13]Moshe Sipper, Marco Tomassini, Mathieu S. Capcarrère:
Evolving Asynchronous and Scalable Non-uniform Cellular Automata. ICANNGA 1997: 66-70 - [c12]Moshe Sipper, Maxime Goeke, Daniel Mange, André Stauffer, Eduardo Sanchez, Marco Tomassini:
The firefly machine: online evolware. ICEC 1997: 181-186 - 1996
- [c11]Moshe Sipper, Marco Tomassini:
Evolvable Cellular Machines. ACRI 1996: 177-186 - [c10]Moshe Sipper, Eytan Ruppin:
Co-Evolving Cellular Architectures by Cellular Programming. International Conference on Evolutionary Computation 1996: 306-311 - [c9]Eduardo Sanchez, Daniel Mange, Moshe Sipper, Marco Tomassini, Andrés Pérez-Uribe, André Stauffer:
Phylogeny, Ontogeny, and Epigenesis: Three Sources of Biological Inspiration for Softening Hardware. ICES 1996: 35-54 - [c8]Moshe Sipper:
Designing Evolware by Cellular Programming. ICES 1996: 81-95 - [c7]Maxime Goeke, Moshe Sipper, Daniel Mange, André Stauffer, Eduardo Sanchez, Marco Tomassini:
Online Autonomous Evolware. ICES 1996: 96-106 - [c6]Pierre Marchal, Pascal Nussbaum, Christian Piguet, Moshe Sipper:
Speeding-up Digital Ecologies Evolution Using a Hardware Emulator: Preliminary Results. ICES 1996: 107-124 - [c5]Moshe Sipper, Marco Tomassini:
Co-evolving Parallel Random Number Generators. PPSN 1996: 950-959 - 1995
- [b1]Moshe Sipper:
Studying complex systems using non-uniform cellular automata. Tel Aviv University, Israel, 1995 - [j3]Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
A single-iteration threshold Hamming network. IEEE Trans. Neural Networks 6(1): 261-266 (1995) - [c4]Moshe Sipper:
Quasi-Uniform Computation-Universal Cellular Automata. ECAL 1995: 544-554 - 1994
- [j2]Moshe Sipper:
Studying Artificial Life Using a Simple, General Cellular Model. Artif. Life 2(1): 1-35 (1994) - [j1]Moshe Sipper, Yehezkel Yeshurun:
Cost-performance evaluation of analog neural networks and high order networks. Neurocomputing 6(3): 291-303 (1994) - 1993
- [c3]Moshe Sipper:
A serial complexity measure of neural networks. ICNN 1993: 962-966 - 1992
- [c2]Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
Single-Iteration Threshold Hamming Networks. NIPS 1992: 564-571 - 1990
- [c1]Moshe Sipper, Hezy Yeshurun:
Pattern classification using teurons. ICPR (1) 1990: 433-437
Coauthor Index
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