default search action
ISAIM 2020: Fort Lauderdale, FL, USA
- International Symposium on Artificial Intelligence and Mathematics, ISAIM 2020, Fort Lauderdale, Florida, USA, January 6-8, 2020. 2018
Regular Track
- Christian Komo, Christoph Beierle:
Upper and lower bounds for finite domain constraints to realize skeptical inference over conditional knowledge bases. - Jingchao Chen:
Fast Verifying Proofs of Propositional Unsatisfiability via Window Shifting. - Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody:
Lower Bounds for Adversarially Robust PAC Learning. - Thiago Serra, Srikumar Ramalingam:
Empirical Bounds on Linear Regions of Deep Rectifier Networks. - Julien Vion, René Mandiau, Sylvain Piechowiak, Marius Silaghi:
Privacy for the Distributed Stochastic Algorithm with Breakouts. - Satoru Watanabe, Hayato Yamana:
Topological Measurement of Deep Neural Networks Using Persistent Homology. - Marc Neveling, Jörg Rothe, Roman Zorn:
The Complexity of Controlling Condorcet, Fallback, and k-Veto Elections by Replacing Candidates or Voters. - Daya Ram Gaur, Muhammad Khan:
Testing Unsatisfiability of Constraint Satisfaction Problems via Tensor Products. - Anna Maria Kerkmann, Jörg Rothe:
Altruism in Coalition Formation Games. - Bjørn Kjos-Hanssen, Clyde James Felix, Sun Young Kim, Ethan Lamb, Davin Takahashi:
VC-dimensions of nondeterministic finite automata for words of equal length. - K. Subramani, Piotr Wojciechowski:
Finding read-once refutations in 2CNF formulas and variants - a parameterized perspective. - Theja Tulabandhula, Yunjuan Wang:
Making Recommendations when Users Experience Fatigue. - Hong Xu, Kexuan Sun, Sven Koenig, Itay Hen, T. K. Satish Kumar:
Hybrid Quantum-Classical Algorithms for Solving the Weighted CSP. - Sihem Belabbes, Salem Benferhat:
Partially Preordered Inconsistent Lightweight Ontologies in Possibility Theory. - Karine Chubarian, György Turán:
Interpretability of Bayesian Network Classifiers: OBDD Approximation and Polynomial Threshold Functions.
Special Session on Applications of AI/Robotics to Agriculture
- Jaafar Abdulridha, Yiannis Ampatzidis, Pamela Roberts, Sri Charan Kakarla:
Detecting and monitoring the progress of powdery mildew disease in squash using hyperspectral imaging and artificial neural networks. - Hao Gan, Won Suk Lee, Natalia A. Peres, Clyde W. Fraisse:
Development of A Multi-Angle Imaging System for Automatic Strawberry Flower Counting. - Leon Nunes, Yiannis Ampatzidis, Lucas Costa, Marcelo Wallau:
Horse foraging behavior detection using Recurrent Neural Networks. - Victor Partel, Jinho Kim, Lucas Costa, Panos M. Pardalos, Yiannis Ampatzidis:
Smart Sprayer for Precision Weed Control Using Artificial Intelligence: Comparison of Deep Learning Frameworks. - Mohammad Valipour, Sandra M. Guzmán, Mohammad Ali Gholami Sefidkouhi, Mahmoud Raeini-Sarjaz:
Using Genetic Algorithms and Gene Expression Programming to Estimate Evapotranspiration with Limited Meteorological Data.
Special Session on Boolean and pseudo-Boolean Functions
- Kristóf Bérczi, Endre Boros, Ondrej Cepek, Petr Kucera, Kazuhisa Makino:
Approximating minimum representations of key Horn functions. - Jinwook Lee, András Prékopa:
On the conditional expectation given Boolean functions of events in the n-space. - Petr Kucera, Petr Savický:
On the size of CNF formulas with high propagation strength. - Milos Chromý, Ondrej Cepek:
Compiling SL representations of Boolean functions into OBDDs. - Richard Ostrowski, Lionel Paris, Adrien Varet:
Another Way to Browse the Search Space For Some Transformations from CSP to SAT. - Joonhee Lee, Endre Boros:
Bounds for the Probability of the Union of Events.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.