Map Matching on Low Sampling Rate Trajectories Through Deep Inverse Reinforcement Learning and Multi Intention Modeling by Reza Safarzadeh (18072472)

“…</li><li>`mm_sequence`: Contains codes and functions related to map matching sequence which includes functions for processing and matching sequences of GPS points to the underlying road network.…”

MOMA compared to MFA-derived estimates, carbon yield efficiencies and CBA co-factor profile comparison across unconstrained, manually curated and experimentally constrained solutio... by Laura de Arroyo Garcia (9226096)

“…MOMA ranges were estimated using the wild type solution as a reference and sequentially implementing the single-gene knockouts studied by Long et al. (2019) [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008125#pcbi.1008125.ref046" target="_blank">46</a>], with biomass formation as the objective function. MFA ranges were extracted from a pre-existing dataset (Long et al., 2019), using a Python algorithm to select the minimal and maximal flux ranges.…”

Table 1_Linking interannual variability of turbidity fronts in the Eastern China Seas to local processes and ocean warming.docx by Yunfei Du (1490683)

“…A gradient-based front detection algorithm and frontal probability are used to identify the geographical locations of turbidity fronts and their variability at the interannual scale, respectively. …”

Native distributed and MPI parallelism in the high-level language Julia for quantum Monte Carlo by Mingrui Yang (4068697)

“…For example, finding the ground state energy (the eigenvalue) and wave function (the eigenvector) of a 200-boson chain involves a 10118-element vector and a 10118x10118 matrix. …”

Data_Sheet_1_Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing.docx by Kangtao Wang (9177766)

“…The unsupervised Leuven algorithm was used to build a network to identify relationships between research focus.…”

Mechanomics Code - JVT by Carlo Vittorio Cannistraci (5854046)

“…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…”

Simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures by Leonardo Siqueira Glória (6713291)

“…The best solutions are obtained by least-cost formulations; the other two objective functions, namely maximize dry matter intake and maximize crude protein use, do not produce favorable diets in terms of costs.…”

On the optimality of stepwise policies for managing capacity, inventory and backorders by Melda Ormeci Matoglu (18549487)

“…To focus on the complexity of identifying when to change modes <i>and</i> which mode to change to, we restrict our model to simple convex holding and backorder costs and linear processing costs and costs for rejecting demand and idling capacity. …”

Parallelization of a Common Changepoint Detection Method by S. O. Tickle (7036706)

“…<p>In recent years, various means of efficiently detecting changepoints have been proposed, with one popular approach involving minimizing a penalized cost function using dynamic programming. In some situations, these algorithms can have an expected computational cost that is linear in the number of data points; however, the worst case cost remains quadratic. …”

Table_1_Using machine learning for crop yield prediction in the past or the future.xlsx by Alejandro Morales (5190242)

“…The data set of farm simulated yields was analyzed with different algorithms (regularized linear models, random forest, artificial neural networks) as a function of seasonal weather, management, and soil. …”

Table_1_Machine Learning Techniques for the Diagnosis of Schizophrenia Based on Event-Related Potentials.pdf by Elsa Santos Febles (13017351)

“…Moreover, the use of the Boruta algorithm provides an improvement in classification accuracy and computational cost.…”

Table 1_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx by Francesco Chiani (2661328)

“…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …”

Table 2_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx by Francesco Chiani (2661328)

“…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …”

Table 3_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.xlsx by Francesco Chiani (2661328)

“…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …”

Table 4_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx by Francesco Chiani (2661328)

“…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …”

Data_Sheet_1_Deep Learning With Asymmetric Connections and Hebbian Updates.pdf by Yali Amit (611007)

“…We also propose a cost function whose derivative can be represented as a local Hebbian update on the last layer. …”

Data and codes for producing results associated with the manuscript "Physical learning of power-efficient solutions" by Menachem Stern (13141596)

“…Neuromorphic computing, or the implementation of ML in hardware, has the potential to reduce this cost. In particular, recent laboratory prototypes of self-learning electronic circuits, examples of ``physical learning machines," open the door to analog hardware that directly employs physics to learn desired functions from examples. …”

Data and codes for producing results associated with the manuscript "Training self-learning circuits for power-efficient solutions" by Menachem Stern (13141596)

“…Recent laboratory prototypes of self-learning electronic circuits, examples of ``physical learning machines," open the door to analog hardware that directly employs physics to learn desired functions from examples at low energy cost. In this work, we show that this hardware platform allows for even further reduction of energy consumption by using good initial conditions as well as a new learning algorithm. …”

Poststroke consequences upon optimization properties of postural sway during upright stance: a cross-sectional study by Flávia A.F. Oliveira (13909884)

“…The optimization properties of postural stability were computed assuming the minimization of postural sway as cost function.</p> <p>The asymmetric WB poststroke group showed larger convergence rate toward the local minimum of postural sway than the symmetric WB group. …”

DataSheet1_Combined hydrodynamic and control analysis on optimal kinematic parameters for bio-inspired autonomous underwater vehicle manoeuvring.pdf by Marvin Wright (3421613)

“…The manoeuvring performance was investigated by using different curvature magnitudes and distributions along the centre line (the curvature is defined by means of a curvature envelop function as part of the general body undulation equation). …”