Results 51 to 60 of about 4,200 (297)

Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies

open access: yesApplied Sciences
Current imitation learning approaches, predominantly based on deep neural networks (DNNs), offer efficient mechanisms for learning driving policies from real-world datasets.
Iman Sharifi   +2 more
doaj   +1 more source

Bootstrapping Knowledge Graphs From Images and Text

open access: yesFrontiers in Neurorobotics, 2019
The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation.
Jiayuan Mao   +7 more
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

GenEth: a general ethical dilemma analyzer

open access: yesPaladyn, 2018
We argue that ethically significant behavior of autonomous systems should be guided by explicit ethical principles determined through a consensus of ethicists. Such a consensus is likely to emerge in many areas in which intelligent autonomous systems are
Anderson Michael, Anderson Susan Leigh
doaj   +1 more source

Semantic Probabilistic Inference of Predictions

open access: yesИзвестия Иркутского государственного университета: Серия "Математика", 2017
Prediction is one of the most important concepts in science. Predictions obtained from probabilistic knowledge, are described by an inductive-statistical inference (I-S inference).
E. E. Vityaev
doaj   +1 more source

Deductive and Inductive Probabilistic Programming [PDF]

open access: yes, 2016
Probabilistic programming (PP) is available in two different variants: imperative/functional and logic. These two variants have complementary strengths and mostly separate communities.
RIGUZZI, Fabrizio
core  

Impedance Spectroscopy of Bifurcation Oscillations in S‐Type Self‐Oscillatory Devices

open access: yesAdvanced Physics Research, EarlyView.
Impedance spectroscopy (IS) reveals stability regimes and bifurcation dynamics in S‐type self‐oscillatory devices. By linking nonlinear control theory with frequency‐domain measurements, experimental signatures of oscillations, entrainment, and phase locking are directly identified.
Gonzalo Rivera‐Sierra   +5 more
wiley   +1 more source

MP-HTHEDL: A Massively Parallel Hypothesis Evaluation Engine in Description Logic

open access: yesIEEE Access
We present MP-HTHEDL, a massively parallel hypothesis evaluation engine for inductive learning in description logic (DL). MP-HTHEDL is an extension on our previous work HT-HEDL, which also targets improving hypothesis evaluation performance for inductive
Eyad Algahtani
doaj   +1 more source

Special Issue on Probabilistic Logic Programming (PLP 2018) [PDF]

open access: yes, 2021
Probabilistic logic programming (PLP) approaches have received much attention in this century. They address the need to reason about relational domains under uncertainty arising in a variety of application domains, such as bioinformatics, the semantic ...
Schrijvers Tom, Bellodi Elena
core   +1 more source

NiFe‐NO3 Layered Double Hydroxide as a Novel Anode for Sodium Ion Batteries

open access: yesBatteries &Supercaps, Volume 8, Issue 3, March 2025.
This study demonstrates, for the first time, the effectiveness of using LDH as an anodic material in SIB. The material is stable and show high specific capacity, the reaction mechanism has been thoroughly investigated and comprehensively described and involves a phase change reaction followed by sodium intercalation.
Marco Fortunato   +4 more
wiley   +1 more source

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