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extra_0565.png
The chart is a bar graph showing Perceived Coral Value to Flood Protection. It features two bars representing "No flood risk area" and "High flood risk area if corals are lost". The vertical axis labels perceived coral value on a scale from 0 to 5, while error bars indicate variability.
The graph indicates that perceived coral value is higher in high flood risk areas compared to no flood risk areas (2.25 versus 2.5 approximately), hinting at the importance of coral.
Bar
Simple Bar
pie_184.png
The chart is a pie chart titled "Just Under Half of Republicans Agree with Tea Party Movement." It includes a legend with categories: Democrat/lean Dem, Rep/lean R Agree, Rep/lean R Disagree or no opinion, and No partisan leaning. Each category is represetend by one slice of the pie.
Democrats/lean Dem make up the largest segment at 47%. Republicans/lean R agreeing with the Tea Party are 17%, while 23% disagree or have no opinion. No partisan leaning accounts for 13%.
Pie
Pie
springer_2879 copy.png
This bar chart shows the number of pods per plant on the y-axis in range of 0 to 40 against 4 conditions on the x-axis: Control, BM, 40kg P/ha, and 80kg P/ha.
The chart shows, that control has the least amount of pods per plant with around 27, followed by 80 kg P/ha with around 30. 40 kg P/ha and BM show similar values around 45 pods per plant.
Bar
Simple Bar
springer_2217.png
This grouped boxplot shows the low risk and high risk values for six different conditions. The y-axis shows the value and the x-axis lists the conditions. The legend indicates that each condition consists of a low risk value and a high risk value.
The chart shows that the high risk value is higher for the Itpr1, Cckbr1 and Camk1 conditions, while the low risk value is higher for the others. Camk1 has the highest overall value of about 12 on high risk, and Cckbr1 has the lowest of about 8.5 on low risk.
Boxplot
Grouped Boxplot
arXiv_0771.png
This grouped bar chart is titled "Short-Term Intervention Effects on Catching and Aiming Tasks". It shows Task Scores on the y-axis in the range of 0 to 60 and three categories on the x-axis: EG1, EG2, and CG. Two conditions are compared for each task: Pre-Intervention and Post-Intervention.
The chart shows that the task scores are higher in the post-intervention condition compared to the pre-intervention condition across all three categories. EG1 has the highest count for both conditions with 60 for post-intervention and 40 for pre-intervention.
Bar
Group Bar
ArXiv_3rd_251.png
This heatmap visualizes F1-scores between 'a and 'b' variables. The y-axis lists 5 categories for 'a variable, from 1 to 5; and the x-axis lists 6 categories for 'b' variable, from 0 to 5. Each cell shows the F1-score numerically and is color-coded. A colorbar is displayed on the right side, indicating the F1-score sca...
The chart shows that the F1-scores generally increase with higher values of 'a', with peak scores observed at a = 5 and b = 1 (0.6812).
Heatmap
Heatmap
extra_0570.png
The chart is a confusion matrix titled "Confusion matrix of test set of Raw data." It uses a color scale to represent percentages of classifications across five categories: Slip, Wave, Turn over, Crab, and Double click. The x-axis and y-axis denote the predicted and actual classes, respectively.
The matrix reveals high classification accuracy, particularly for 'Wave' (90.25%), and Crab (89.11%), indicating strong model performance. There is some error, however, as "Turn over" and "Slip" only score 82-83% percent accuracy, highlighting areas for improvement.
Heatmap
Heatmap
ACM_2787.png
This grouped bar chart shows the number of origin in blue and the number of origin+augmentation in orange. The x-axis lists the categories: AK, BCC, BKL, DF, MEL, NV, SCC and VASC. The y-axis represents the numbers ranging from 0 to 12,000. The two sets of bars are compared for each category.
The chart shows that the majority of the models are from the "NV" category, with 12,875 models, indicating that this is the most common model type. The "DF" category has the least number of models in the category "origin" with only 239. In general the orange bars indicating "origin and augmentation" has a higher amount...
Bar
Group Bar
ACM_4224 copy 4.png
This grouped bar chart is titled 'HRG10 for GRU4Rec'; it shows HR@10 on the y-axis in the range of 0.0 to 0.7 against the Percentage of random Non-item Pages on the x-axis in the range of 0% to 100%. Two Embedding conditions are compared as seen in the legend: Genre-ID, and Genre-PE.
HR@10 drops consistently with increased percentage of randomized Non-Item pages for both embeddings.
Bar
Group Bar
extra2_0263.png
The chart is a scatter plot with error bars. The x-axis represents nine metrics, and the y-axis measures responses on a Likert scale from 1 to 7.
The chart shows higher mean responses for metrics like Learning and Interest at around 6, while distraction and Annoyance are notably lower at about 2.
Scatter
Scatter plot with error bars
springer_1995.png
This multiple line chart shows the relationship between the frequency in Hertz on the x-axis in a range from 100 to 0.001 and the phase in degrees on the y-axis in a range from 30 to 80. The chart includes two lines representing "noisy" and "dean" conditions, as indicated in the legend.
The chart shows a general decline in Phase as frequency decreases for both "noisy" and "dean" conditions. The "noisy" condition consistently has similar phase to the clean condition, just with less fluctuation.
Line
Multiple Line
arXiv_0658.png
This scatter plot shows the Mean Dice Score on the y-axis in range of 0.85 to 0.88 against CO2 Emission (kg) on the x-axis in range of 10 to 16. The plot includes five condition: UNET, UNETR, SwinUNETR, SegResMamba, and SegMamba.
This plot shows a positive relationship between CO₂ Emission (kg) and Mean Dice Score, with models like SegMamba and SwinUNETR achieving the highest accuracy (0.89) at higher emissions (14–15 kg), while UNET and UNETR perform less accurately with lower environmental cost highlighting a trade-off between ecological impa...
Scatter
Simple Scatter
1303.png
This multiple line chart is titled 'Word Per Second for Two Models', it compares "WPS" on the y-axis across different "Grade" levels on the x-axis, ranging from -200 to 150. Two models are represented: "DARK"and "LIGHT", as indicated in the legend.
The chart shows diverging trends between the DARK and LIGHT models as the grade increases. For the LIGHT condition, WPS steadily increases as grade improves, with the highest WPS around a grade of 150. In contrast, the DARK condition shows a flatter trend with minimal changes, maintaining a relatively constant WPS acro...
Line
Multiple Line
extra_0743.png
The chart is a pie chart. The legend indicates age ranges: 15 to 25, 26 to 35, 36 to 45 and above 45. Segment size is dependent on percentage contribution.
The segments show percentages: 84.1% for 15 too 25, 11.2% for 26 to 35, and minimal representation for older age groups.
Pie
Pie
ACM_0193.png
This horizontal stacked bar chart is untitled. It shows the responses to the two statements: "The course gave me the support I needed to explore my own interests within CS" and "It was helpful for me to complete activities with my SIG this semester". The x-axis represents the number of responses, ranging from 0 to 30, ...
The chart shows that most participants expressed positive responses, for both statements. The statement: "The course gave me the support I needed to explore my own interests within CS" had a higher count of "strongly agree" responses. The statement "It was helpful for me to complete activities with my SIG this semester...
Bar
Stacked Bar
springer_3169.png
This grouped bar chart is titled 'R2 Score After Removing Each Feature'. The y-axis shows R2 Score in range of 0.0 to 0.7, the x-axis shows 7 removed features: layer, idx, laserpoweractual, laserpowerset, dist, inter- and intra-. Two conditions are compared: baseline (red) and R2 Score (blue).
The chart shows that four of seven features have a similar range with the highest scores around 0.7 for features like IDX and dist. However, some features, such as layer, have slightly lower scores.
Bar
Simple Bar
arXiv_0512.png
This bar chart shows the SARS Covid 2 virus number on the y-axis ranging from 0 to 100000 and the frequency of each pair's appearance on the x-axis ranging from 550 to 1000. Four contents are compared: A, T, C and G.
The chart shows that the virus number peaks at different frequencies for each content. A, T, C and G content peak at about 90000, 80000, 80000 and 100000, at frequencies 600, 676, 850 and 925, respectively.
Bar
Group Bar
0252b.png
This line plot shows "Image-Text Alignment (Rating)" across different "Prompt Editing Conditions" (Original, Manual Edited, Label Appended, RePrompt) for both "Negative Emotions" and "Positive Emotions" . The y-axis ranges from 55 to 80, representing the alignment rating. A significance marker (*) is displayed between...
The plot highlights that "Positive Emotions" maintain consistently higher alignment ratings across all prompt editing conditions compared to "Negative Emotions." The The wider error bars for negative emotions in the "RePrompt" and "Original" conditions indicate greater variability in responses for these conditions.
Line
Multiple Line
1483.png
This line chart is titled "Number of Users Setting Up Sponsors and Sponsorships Over Time." The x-axis is labeled "created_at" and ranges from April 2019 to January 2021. The left y-axis is labeled "Number of users setting up the sponsors" and ranges from 0 to 8,000, while the right y-axis is labeled "Number of sponsor...
The first trend shows that the number of users setting up Sponsor accounts increases slowly after October 2019, with a steeper increase toward 2021. The second trend, representing the number of sponsorships created, shows an almost linear increase, with a slight upward trend over the same period.
Line
Multiple Line
arXiv_0478.png
This scatter plot is titled "Score vs Code Lines". The x-axis shows Code Lines from 0 to 800, the y-axis shows Score in the range of 0.0 to 0.8. Four conditions are compared as indicated in the legend: 4o open and claude open, both with image and with no image.
The scatter plot shows that the "claude open no image" condition has the highest number of code lines with the highest being over 800, followed by "claude open image" which reaches almost 700. They also achieve the highest scores in the same order, at over 0.85 and around 0.83. A general trend is visible showing that a...
Scatter
Simple Scatter
springer_4402 copy 4.png
This scatter plot is titled "Cor=0.5, p=3.6e-14". The x-axis shows Membership in brown, ranging from 0.5 to 0.8, while the y-axis shows Gene significance for cancer, in range of 0.1 to 0.5.
The plot reveals a positive correlation between the "Genes significance for cancer" and "Membership in brown".
Scatter
Simple Scatter
Springer_2nd_0643.png
This is a pie chart titled “Tattooing (n = 3)” showing the percentage distribution of PABA-related compounds. Each segment is labeled with its percentage and corresponding compound: PAHA, ACHA, ACD, ACD-GlcA 180, and ACD-GlcA 356. A legend on the right matches colors to compounds. The chart also reports a total PABA re...
ACD dominates the distribution at 63.56%, followed by ACD-GlcA 180 (30.43%), while other compounds contribute minimally.
Pie
Pie
springer_4602.png
This bar chart is titled "Connelly". The x-axis shows 5 different tasks and the y-axis the mean correct in percent ranging form 0 to 100.
The chart shows that only task 4 reaches 100 percent on the mean correct scale, followed by task 7 with around 75 percent. Task S(1) reaches the lowest score with around 40 percent.
Bar
Simple Bar
ACM_1839.png
This scatter plot shows the average performance (F1) on the y-axis, ranging from 0.8 to 1.0, across different costs (1000 lessons completions) on the x-axis, ranging from $0 to $20. The legend identifies each model with different colors.
The plot reveals that "GPT-4-turbo (few-shot), 20.3 houres" has the highes cost with 20$, while also having the highest average performance around 0.9
Scatter
Simple Scatter
springer_0764 copy.png
This group bar shows the dry wright of mowed forage (part/g), ranging from 0 to 6 against two forage-microbial conditions: SSBJ+F and SUJS+C. for both conditions, four bars are shown, labeled heavy mowing, medium mowing, light mowing 1 and light mowing 2.
the chart shows higher values for SUJS+C for all mowing types The heavy mowing method shows the highest dry weight after mowing, 4.3 for SSBJ+F and 4.5 for SUJS+C. As the mowing method gets lighter, the dry weight decreases for both forage-microbial conditions.
Bar
Group Bar
Springer_2nd_1219.png
This is a heatmap. The x-axis is “Predicted Labels” (Bad, Good), and the y-axis is “True Labels” (Bad, Good). Cell values show classification counts.
The matrix shows high classification accuracy: 917 true negatives (Bad/Bad) and 976 true positives (Good/Good), with only 11 false positives and 21 false negatives. The model performs well overall.
Heatmap
Heatmap
arXiv_0358.png
This scatter plot shows the distribution of the two main classes: majority of class and generated class.
The majority class has a higher median than the generated class, with a wider spread and more outliers. It is distributed on the top right corner of the chart, whereas the generated class shows a less wide spread in the bottom left corner.
Scatter
Simple Scatter
ACM_4311.png
This bar chart shows the Rouchless TLX scores. The x-axis lists three categories: hand, voice, and foot. The y-axis represents the rating for the TLX Likert scale, ranging from 0 to 100.
The chart shows that the "Foot" gesture has the highest TLX score, followed by "Voice" and then "Hand,".
Bar
Simple Bar
arXiv_1238.png
This grouped bar chart is titled '(a) Mean reliance by group'. The y-axis shows Mean (%) ranging from 0 to 100%; the x-axis shows two groups: Under-reliance* and Over-reliance. Two conditions are compared for each group: Control and Intervention.
The Over-reliance condition shows a higher mean value than the under-reliance* condition. In the Under-reliance* condition, the control group (19.12%) has a lower mean than the intervention group (36.84%). In the Over-reliance condition, the control group (55.88%) has a higher mean than the intervention group (48.68%).
Bar
Group Bar
1443g.png
This bar chart compares the percentage of belief updates under two conditions: Prediction and Standard. The y-axis represents the percentage of reactions, ranging from 0 to 6%. Both conditions show similar percentages, around 4% for both, with error bars indicating variability.
Both conditions led to similar rates of belief updates, with no notable difference between the Prediction and Standard conditions.
Bar
Simple Bar
springer_2871.png
This heatmap shows the Pearson correlations between environmental and temporal variables like temperature, pollutants, season, and month. Red indicates strong positive correlations, blue indicates negative ones. Notable relationships include season and month (r = 0.97), and PM2.5 with PM10 (r = 0.60). P-values below ea...
there is a strong positive correlation between season and month (r = 0.97, p = 0.000), and between PM2.5 and PM10 (r = 0.60, p = 0.000).
Heatmap
Heatmap
ArXiv_3rd_779.png
This multiple line chart shows score on the y-axis ranging from 0.0 to 1.0, and graph size of training data on the x-axis ranging from 2 to 20. There is a gray line showing the average of multiple lines.
It shows that the average score steadily increases from 0.4 to 0.7 as the graph size increases from 4 to 20.
Line
Multiple Line
0845.png
This bar chart shows "Registration Time" (in seconds) on the y-axis and "Authentication Technique" on the x-axis. Five authentication techniques are compared: Squeeze’In, gesture, pin code, fingerprint, and face ID. The bars indicate the mean registration time for each technique, with error bars showing variability.
The chart demonstrates that fingerprint registration takes significantly longer than other methods, with a mean time near 80 seconds. Squeeze’In, gesture, and pin code are much quicker, each below 20 seconds. Face ID also takes longer but is still faster than fingerprint.
Bar
Simple Bar
ArXiv_3rd_432.png
This bar chart shows the number of instances of each type of vehicle or object. The x-axis lists the different types of vehicles and objects, including: auto-rickshaw, bicycle, bus, car, cart-vehicle, construction-vehicle, motorbike, person, priority-vehicle, three-wheeler, train, truck, and wheelchairchair. The y-axis...
The chart shows that "person" is the most common object, with 17500 instances, followed by "auto_rickshaw" with 11000 instances. All other categories have fewer instance numbers, less than 5000.
Bar
Simple Bar
springer_1062 copy.png
This boxplot is titled 'epoch 2, month 6' and shows the "Trough lgG (g/L)" on the y-axis in range of 0 to 20 against the "Age group" on the x-axis in three range: 2 to 6, 6 to 12 and 12 to 16.
The chart shows very similar behavior across the three age groups, with a median around 9 for all. The variance in the 2 to 6 age group is highest.
Boxplot
Simple Boxplot
arXiv_1239.png
This multiple line chart shows the EE response on the y-axis ranging from -15 dB to 0 dB against the Frequency on the x-axis ranging from 0 GHz to 65 GHZ. Two conditions are compared: Si substrate (HR) and Si substrate (standard).
The Si substrate (HR) shows a higher EE response than the Si substrate (standard) across all frequencies. The EE response is decreasing as the frequency increases for both conditions.
Line
Multiple Line
springer_0226.png
This grouped bar chart is not titled. It shows the Voltage (V) on the x-axis from 150 to 300. The y-axis shows the extraction recovery from 0 to 100%. Five conditions are being compared: GA, ChA, 4-OH-BA, CA and CiA.
The chart shows that the recovery gets higher as the voltage increases. The highest value in recovery was at 15 for the 4-OH-BA condition, followed closely by the CiA condition. The lowest values had the GA condition with only 1% at 300 Volt.
Bar
Group Bar
ArXiv_3rd_119.png
This heatmap is titled “Non Myopia Bland-Altman MAE=0.44” and displays the difference between predicted and true values (y-axis ranging from -2 to 2) against their mean (x-axis rangign from -2 to 8), with a central mean horizontal line and ±1.96 SD limits shwon on the plot.
Most of the scatter have 0.44 mean values of pre and tru; they are clustered around 0 for the value of difference between pre and tru, within the 1.96 SD range.
Heatmap
Heatmap
springer_0562.png
This bar chart shows the Dose of FWH in ppm from 0 to 160 on the x-axis. The y-axis shows the Vibrio load * 10^7 CFU/g of gut, on a range from 0 to 3.
The chart shows a increase at first, with a peak around 2.8 in dose 10. After that the loads drop again and then range around 1.5 and 2.
Bar
Simple Bar
extra2_0030.png
The chart is a pie chart titled "Northeast" with three numbered clusters indicated by a legend. The segments represent their respective percentages.
The chart highlights a dominant presence of Cluster 1 at 57.6%, significantly overshadowing Cluster 3's 13.9%.
Pie
Pie
Springer_2nd_1458.png
The chart is a multiple line graph comparing the "ATR-absorbance" against the Wavenumber. It features lines representing different compounds: MgCO₃, CaCO₃, SrCO₃, and BaCO₃. The x-axis is labeled "Wavenumber (cm⁻¹)" ranging from 2000 to 600, while the y-axis indicates "ATR-absorbance," with a vertical scale displaying ...
Distinct peaks in the ATR-absorbance reveal the unique spectral fingerprints of each carbonate compound, suggesting varying absorbance trends as wavenumbers change, highlighting the complexity and diversity of chemical interactions in the samples.
Line
Multiple Line
Springer_2nd_0032.png
The chart is a box plot titled "Average Quantum Solution Percentile of All Solutions." The legend identifies the overall average as a horizontal line. The x-axis is labeled "C of N and X" with N ranging from 6 to 22, and X ranging from 3 to 11, and the y-axis is labeled "Percentile," with a scale spanning from 75% to 1...
The box plot presents the average percentiles for various quantum solutions, highlighting that most solutions cluster around 94.29%, interspersed with notable outliers. With N equal to 6 and X equal to 3, the percentile is the highest, while the lowest is with N equal to 10 and X equal to 5.
Boxplot
Simple Boxplot
2589a.png
This horizontal bar chart, titled "Overall Usability and Usefulness," compares user ratings across six aspects on the y-axis, rating scale is shwon from 1 to 7 on the x-axis. Each bar represents an aspect, with average ratings labeled at the end.
The highest-rated aspects are "Help find ways to improve" (5.61) and "I will apply loan here again" (5.34). "Help understand model" and "Enjoyable to use" also scored favorably (5.17 and 5.07, respectively). In contrast, "Easy to understand" received the lowest rating (4.90).
Bar
Simple Bar
springer_2584.png
This grouped bar chart is titled "Time Saving for Removing Payment Block 'R'". The x-axis shows the different categories, and the y-axis shows the time saved in rage of 0 to 3000. Three conditions are compared: Number of Invoices, Time in Seconds, and Time Saved.
The chart reveals that "Time in Seconds" consistently dominates across all conditions, with values ranging from 246 to 2460. "Time Saved" follows a similar pattern, peaking at 2430, while "Number of Involves" remains relatively low, with values ranging from 10 to 100.
Bar
Group Bar
extra_0228.png
This grouped boxplot shows the value of Rotifers / Phytoplankton on the y-axis from 0.0 to 0.6, against the time (days) on the x-axis from 0 to 56. Three conditions are compared, as indicated in the legend: Initial, Control, and S.woodiana.
The chart shows that the ratios of Rotifers / Phytoplankton are initially high, then drop sharply by day 14 in both conditions. From day 28 onward, the S. woodiana group shows a consistent upward trend, peaking at day 42 (~0.5), while the Control group remains lower throughout.
Boxplot
Grouped Boxplot
springer_1412 copy 3.png
This scatter plot shows SHAP values for the CNL feature (y-axis: –0.2 to 0.2) versus CNL values (x-axis: 20 to 60). Points are color-coded on the right side of the y-axis by CNL magnitude: blue (low) to pink (high) ranging from 25 to 55.
Most high SHAP values occur when CNL is more than 40, indicating greater model impact in this range. SHAP values become more negative around CNL = 30–40, suggesting this interval reduces prediction output.
Scatter
Simple Scatter
arXiv_1051.png
This pie chart shows the distribution of food provision by category. The chart is divided into four categories: 1, 2, 3, and 4. The percentages for each category are labeled directly on the chart.
The chart shows that "1" category has the largest slices, representing 46.8% of the food provision, followed by "2" category at 27.7%. "3" category accounts for 24.5%, while "4" category is the smallest, showing only 1.1%.
Pie
Pie
ArXiv_3rd_208.png
This multiple line chart shows the relationship between PSD and frequency for two conditions: (SR graphhone plate and SV graphhone plate). The x-axis lists the frequency from 0.00 GHz to 0.1 GHz. The y-axis shows the value of PDS ranging from 0.0 per GHz to 0.4 per GHz. Two conditions are indicated in the legend.
The chart shows a sharp increase in the PSD for both conditions when the frequency is below 0.01 GHz, followed by a steady decrease until the frequency is 0.1 GHZ. The SR graphene plate reached a PSD peak value of 0.4 per GHZ when the frequency is 0.01 GHZ, and the SV graphene plate reached a PSD peak value of 0.15 per...
Line
Multiple Line
1979a.png
This horizontal grouped bar graph is titled "Average Monthly Unique Devices" and shows the average number of unique devices accessing content in three languages: Malayalam, Marathi, and Kannada. The x-axis represents the number of unique devices, ranging from 0 to 1,000,000. Marathi has the highest count, nearly double...
This graph indicates that Marathi content reaches a significantly larger audience compared to the other two languages.
Bar
Simple Bar
extra_0118.png
This horizontal boxplot displays responses to six innovation-related questions or adjective pairs about a product. The x-axis ranges from 3 to 10, representing a rating scale.
All questions and adjective pairs received high ratings, with medians near or above 7. The category "Does the product grab users attention?" shows the widest spread with the largest inter-quantile range. The narrowest distribution appears for "conservative / innovative". The highest median is for "usual / leading edge"...
Boxplot
Simple Boxplot
springer_0560.png
This bar chart shows the Dose of FWH in ppm from 0 to 160 on the x-axis. The y-axis shows SNGH(%) on a range from 0 to 15.
The chart reveals a fluctuating trend. All doses show similar values ranging from 15% to about 16%. The highest score was in dose 80 and the lowest in dose 5.
Bar
Simple Bar
Springer_3rd_026.png
This pie chart is titled 'Accuracy after preprocessing models'. It shows the distribution of six categories: 'Random Forest', 'SVM', 'Logistic Regression', 'KNN', 'Decision Tree', 'Naive Bayes'. Each category is represented by one slice of the pie, with the percentage labelled.
The chart shows that the 'SVM' category has the highest accuracy, of 88.93%. The categories of 'Naive Bayes', 'Logistic Regression', and 'Random Forest' have the highest accuracy, above 85%. KNN category has the lowest accuracy, of 64.52%.
Pie
Pie
ACM_2543 copy.png
This multiple line chart shows the "Accuracy Rate" on the y-axis in range of 0.0 to 1.0 against "Training rounds" on the x-axis in range of 0 to 14. The chart includes five lines representing different models: F1, F2, F3, F4, and F5.
All models (𝐹1 to 𝐹5 ) quickly reach a high accuracy rate (close to 0.9–1.0) within the first few training rounds. There's a visible dip labeled "Unstable point" around training rounds 4–5, where the accuracy momentarily drops for some models before recovering. After the unstable point, the accuracy stabilizes at a h...
Line
Multiple Line
ACM_1234.png
This is a line graph titled “% VETT beats local (FH=336, External).” The x-axis shows “Target time-series available” from 0 to 0.8, and the y-axis displays percentages from 0 to 100, labeled “VETT better” above and “Local better” below. The legend identifies four datasets, represented in different shade of grey.
The graph shows that VETT outperforms local models across most datasets, especially as more target time-series data becomes available. Energy and Air Quality consistently exceed 80%, while ETTH performs lower.
Line
Multiple Line
springer_2376.png
This grouped bar chart is titled"Comparison of False Positive Rates between Isolation Forest, One-class SVM, LOF, and our work (Our dataset)". The x-axis shows the Attack percentage in range of 0.1 to 10%, and the y-axis shows False Positive Rates (FPR) in range of 0% to 10%. Four conditions are compared: Isolation For...
The chart reveals that the Isolation Forest conditions achieves higher Detection Rates overall, with LOF slightly behind, and Our work has the lowest Detections Rates. However, in general the lower the Attack Percentange, the higher the Detection Rates.
Bar
Group Bar
Springer_2nd_1018.png
This is a bar . The x-axis shows water table levels (Deep, Median, Shallow), and the y-axis shows ^15N uptake (μgN g⁻¹ dw plant h⁻¹). The left side represents NO₃⁻-^15N uptake and the right side NH₄⁺-^15N uptake. The legends shows two conditions : grazed (yellow) and ungrazed (green).
The graph shows that NO₃⁻-^15N uptake is generally higher in ungrazed conditions at median and shallow water tables, while NH₄⁺-^15N uptake is significantly higher in ungrazed shallow plots. Grazing tends to reduce ^15N uptake across water table depths, with statistically significant differences indicated by letters an...
Bar
Group Bar
Springer_2nd_1620.png
This is a line graph titled “Actual and Predicted Outcomes.” The x-axis shows years from 2006 to 2016, and the y-axis shows outcome values ranging from 0.2 to 0.6. The legend identifies two lines: a solid blue line for actual outcomes and a dashed red line for predicted outcomes.
The graph compares actual and predicted outcomes over time, showing close alignment until around 2010. Afterward, actual outcomes rise steadily while predicted outcomes peak and then decline. This suggests a divergence between observed and model-forecasted trends post-2010.
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Multiple Line
springer_2639.png
This bar chart is titled "Mean+-SD (N=19)" and shows the times for various conditions. The y-axis represents time, ranging from 0 to 7, and the x-axis lists the tasks: Eye Gaze, Hand Sign, and Smartphone Gaze. The tasks are displayed within 2 conditions: Stop and Deceleration to stop.
The chart shows that all the tasks have a similar time within each condition. However, the Stop condition has an overall lower time than the Deceleration to stop condition.
Bar
Group Bar
arXiv_0586.png
This is a UMAP scatter plot titled “Reproduced UMAP of all cells from the GBM study.” UMAP1 (x-axis) ranges from -15 to 15, and UMAP2 (y-axis) from -15 to 10. The legend shows 17 cell types; each dot represents a cell, color-coded by type, with T cells highlighted.
The plot displays distinct clusters of glioblastoma-derived cells along UMAP1 and UMAP2 axes. T cells, shown in pink and circled, appear in multiple spatially separate clusters.
Scatter
Simple Scatter
ArXiv_3rd_729.png
This bar chart shows the number of object success on the x-axis, ranging from 0 to 6, and the count of object success on the y-axis, ranging from 0 to 30.
The bar chart shows a left-skewed distribution, with success counts peaking at 5 objects, almost 28 counts.
Bar
Simple Bar
extra_0634.png
The chart is a box plot. It compares the Simpson's diversity index between two groups: Infants and Mothers. The y-axis is labeled "Simpson's Diversity Index," ranging from 0.4 to 1.0, while the x-axis categorizes the groups. The legend indicates statistical significance with a p-value < 0.01.
Infants show a lower median Simpson's Diversity Index compared to Mothers (0.85 versus 0.9 approximately), with notable higher variability in the infants' data. The significant p-value indicates a strong likelihood that this difference is not due to random variation.
Boxplot
Simple Boxplot
springer_3865.png
This bar chart shows the importance of various features. The y-axis represents the importance of each feature, ranging from 0 to 6000. The x-axis lists 10 types of features, including MNDWI, pc2, pc3, etc.
The chart shows that the MNDW1 feature has the highest importance score, around 5700, while the NDVI has the lowest importance score, around 4735.
Bar
Simple Bar
ArXiv_3rd_146.png
This multiple line chart is titled '2p3', it shows the "True Positive Rate" on the y-axis, ranging from 0 to 1, against the "False Positive Rate" on the x-axis, ranging from 0 to 1. The chart compares two conditions: "ROC curve (AUC=0.920)", and "Baseline".
The chart shows that both conditions have a positive trend; the ROC curve (orange) slightly outperforms the baseline (blue) in terms of accuracy. The ROC curve shows a value of AUC=0.920.
Line
Multiple Line
springer_3055 copy 5.png
This boxplot shows the relationship between the "Quota + Basic CFD (Co2-Price Euro 130)" on the y-axis, ranging from -150 to 200, and the different categories on the x-axis: "Green steel production," "Public budget," and "Steel buyers." The chart includes three boxplots for each category, as indicated in the legend.
The plot reveals that the "Steel buyers" group has the highest median and widest range, indicating a more stable and higher price. In contrast, the "Green steel production" and "Public budget" groups show lower median values, with narrower ranges. Th egreen steel production even has a negative cost (around -50).
Boxplot
Simple Boxplot
0208.png
The scatter plot visualizes data points distributed across two dimensions, labeled as "Primary Component 1" (x-axis) and "Primary Component 2" (y-axis). Each point represents a video generation, and the color of the points corresponds to a "Video Generation" scale, ranging from 2 to 16, with a gradient from purple to y...
There is no clear pattern or clustering that associates higher or lower video generations with specific areas in the primary component space. Instead, points appear widely scattered, showing that video generation values vary independently across the two components.
Scatter
Simple Scatter
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This bar chart titled "Trends of IRR Throughout the Years," displaying the distribution of two categories: "No" and "Yes" across several time periods: 82'–04', 05'–09', 10'–14', 15'–19', and 20'–22'. The y-axis represents IRR ranging from 0.00 to 1.00.
The chart shows a large dominance of "No" responses during the earlier time periods (82'–04' and 05'–09') Starting in the period 10'–14', there is a slight shift, with 9% "Yes" responses, and this trend continues with a gradual increase, peaking at 16% "Yes" in the 20'–22' period.
Bar
Stacked Bar
Springer_3rd_018.png
This pie chart shows the breakdown of two categories: English and Marathi. Each category is represented by one slice of the pie, with the percentage labeled.
The chart shows that the English category has a dominant percentage of 78.8%. The Marathi category has a lower percentage, of 21.2%.
Pie
Pie
ArXiv_3rd_360.png
This grouped boxplot is titled 'Horlbeck K562 Dataset'. The x-axis shows 5 rounds, and the y-axis shows the MSE value in the range of 0.0035 to 0.0055. 4 conditions are compared as indicated in the legend: Uniform, MPE, Uncertainty, and UCB.
The chart shows that the MPE condition has an increasing trend in the median value of MSE, and all three other conditions have a decreasing trend in MSE median values.
Boxplot
Grouped Boxplot
springer_2510 copy.png
This bar chart is titled "Non-obesese vs. obese" and shows the frequency of the number of ATEs. The x-axis represents the ATE values, ranging from 0 to 0.01, while the y-axis represents the frequency, ranging from 0 to 0.12. There is a line titled "Average ATE" with the value 0.005.
The chart reveals that the distribution of frequencies is concentrated between 0 and 0.01. The average frequency is also significantly higher than the others, as indicated by the red dashed line at 0.005 ATE and a peak frequency of 0.12.
Bar
Simple Bar
ACM_2919 copy.png
This single line chart shows Recall against epoch. The x-axis represents epoch ranging from 0 to 100, and the y-axis shows recall ranging from 0.3 to 0.9.
The recall fluctuates over time, with a general upward trend. The lowest recall occurs at approximately 0 epochs, while the highest recall reaches around 90 epochs.
Line
Simple Line
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This scatter plot with regression line shows the interaction effect between AI literacy and the presence of explanations on perceptions of informational fairness. The x-axis represents AI literacy, ranging from -3 to 2, and the y-axis represents perceptions of informational fairness, ranging from -3 to 3. Two trend lin...
The positive effect of explanations on informational fairness perceptions was more considerable among participants with low AI literacy, as shown by the upward trend in the green line.
Scatter
Scatter plot with error bars
arXiv_0624.png
This is a line graph titled “Processor Energy Consumption Before and After DVFS.” The x-axis represents time in hours (0 to 24), and the y-axis shows energy consumption in watts (W). The legend shows a red dashed line for "Before DVFS" and a green solid line for "After DVFS."
The graph shows constant energy use before DVFS and a sinusoidal variation after DVFS, indicating energy optimization over time through dynamic voltage and frequency scaling.
Line
Multiple Line
arXiv_0209.png
This scatter plot is titled "Accuracy", it shows the estimated values of four different metrics on the x-axis: 'mirLibSpark', 'mirDeepP', 'Shortstack', 'mirPrefer'. The y axis is unlabeled and ranges from 0 to 0.7. For each metric there are four points plotted: a diamond, a square, a cross and a triangle
The plot shows a that the cross and the triangle lie very close in each metric. The metric 'ShortStack' has the highest mean score over all four plotted points. The diamond and cross score very low in the 'mirLibSpark' and 'mirDeepP' metric.
Scatter
Simple Scatter
arXiv_0807.png
This multiple line chart is not titled. The x-axis is titled "k" and shows numbers, ranging from 0 to 150. The y-axis represents the average discounted return, ranging from 0 to 10. There are seven different conditions: Centralised, Independent, Networked (0.2), Networked (0.4), Networked (0.6), and Networked (0.8) and...
All conditions show a strong increase from 0 to 15 on the x-axis. The Centralised, Networked (1.0) and Networked (0.8) have the highest average discounted return with around 8.5. Followed by Networked (0.4) and Networked (0.6) with 7. Networked (0.2) is at 5 and the lowest value is seen in the Independent condition.
Line
Multiple Line
springer_3951 copy.png
This boxplot shows is titled 'H) Bifdobacterium', it shows the relative frequency on the y-axis ranging from 0 to 1.0 %. Two biome conditions are listed on the x-axis: Caa and Mata. Each condition is represented by a boxplot.
The plot shows that both Cai and Malta have similar median in relative frequency (0.2 %). While the Caa condition has a larger interquantile range than the Mata condition.
Boxplot
Simple Boxplot
Springer_2nd_0407.png
The chart is a bar graph showing Vicker Microhardness (GPa) vs. Sample Name. The x-axis is labeled "Sample Name" and includes W1Ni, W1Ni-2CeB₆, W1Ni-2NdB₆, and W1Ni-2ErB₄. The y-axis indicates microhardness in GPa with a scale ranging from 0 to 7. Error bars are present.
The Vicker microhardness values show a clear trend where the sample W1Ni exhibits the lowest hardness (4.5), while W1Ni-2CeB₆, W1Ni-2NdB₆, and W1Ni-2ErB₄ display higher values (6-7), suggesting enhanced hardness.
Bar
Simple Bar
1536b.png
This line graph, titled "Residuals," shows Residuals as a function of the number of topics (K), ranging from 3 to 20. The y-axis represents Residuals, ranging from 0 to 50. Residuals gradually decrease as the number of topics increases, with a sharp drop at 11 topics.
The Residuals decrease steadily as the number of topics grows, but the sharp decline at 11 topics suggests an important turning point in the model’s behavior.
Line
Simple Line
Springer_2nd_0248.png
This is a line graph. The x-axis represents Mixing Duration (s) up to 10, and the y-axis shows Power Used (W) up to 50. The legend identifies the dashed red line with square markers as "Stage 2."
The graph indicates fluctuating but overall increasing power usage during Stage 2 as mixing duration extends, with a dashed trend line showing a nonlinear rise that begins to plateau near 50 seconds.
Line
Multiple Line
arXiv_0918.png
This grouped bar chart is titled "Management Experience: Yes" and shows the share of comfortable with gay individuals across different co-workers. The y-axis represents the share of comfortable with gay individuals, ranging from 0.4 to 1, while the x-axis lists various co-workers: Double List Supervisors, Direct Questi...
The chart shows that the "Direct Question" has the highest share of comfortable gay individuals, around 0.85, followed by "Double List" around 0.65, however, "Supervisors" have a slightly lower share than the other two.
Bar
Group Bar
extra_0265.png
This heatmap shows the predicted label on the x-axis and the true label on the y-axis. Both x- and y- axis have the same categories from 0 to 7. The cell value represents the proportion of predictions for each label pair.
The chart shows that most predictions lie along the diagonal. Class 7 has a perfect prediction (1.00), and class 5 shows the lowest value of prediction (0.77).
Heatmap
Heatmap
springer_2851 copy 4.png
This multiple line chart is titled "central" and it shows the relationship between wind speed on the second y-axis and air temperature (in degrees Celsius) on the y-axis. The x-axis represents time in years from 2017 to 2020. The chart includes two lines representing "wind speed" in blue and "air temperature" in green....
The wind speed shows a more gradual and slight increase over the years with a notable peak in 2020. The air temperature also shows an increasing trend, but with more fluctuations over time the highest peak is shortly after 2019. The lowest dip is in 2018 at around 27 °C. The Wind speed constistently underperforms the a...
Line
Multiple Line
1887.png
This horizontal bar chart shows 'Results of the Questionnaires'. The y-axis lists 4 categories of results, and the x-axis shows Affect (Average PANAS Scores) in the range of 1.0 to 4.0..
Positive Affect PT and Positive Affect PFJ shows higher Affect than Negative Affect PT and Negative Affect PFJ.
Bar
Simple Bar
arXiv_1214.png
This scatter plot shows the ratio of data/mcp on the y-axis in the range of 0.0 to 4.5 against energy (GeV) on the x-axis in the range of 0 to 450. Two conditions are shown, one for "Data/MCP Ratio" and one for "Perfect Match".
Perfect Match is a line with a constant data / MC ratio of 1.0. Between 200–300 GeV, the data / MS ratio fluctuates around 1 but exceeds 2 at some points, peaking near 4.5. Above 300 GeV, the ratio collapses to 0.0.
Scatter
Simple Scatter
0054.png
This scatter plot presents Results from Multi-Dimensional Scaling of Tactile Effects for On-Body Touch Buttons, where the X and Y axes represent perceptual dimensions both in range from -250 to 150.
The similarity between the tactile effects is indicated by the distance between the points; thus, a greater distance signifies more distinct and dissimilar tactile effects.
Scatter
Simple Scatter
ACM_1984 copy.png
This is a Simple Bar diagram titled 'Standard Deviation of Grade Based on Inferred Ability'. The y-axis displays the Number of Students on linear scale from 0 to 120 while the x-axis plots the Standard Deviation ranging from 0 to 0.08.
Most of the Number of Students have a Standard Deviation ranging from 0 to 0.05, with 0.02 having the highest Number of Students.
Bar
Simple Bar
extra2_0302.png
The chart is a pie chart. It includes a legend with five categories: AD drugs, other drugs, outpatient visits, AD hospitalizations, and other hospitalizations. The chart displays monetary values and their corresponding percentages for each category.
The chart reveals that AD drugs represent the highest portion of costs at 41% (637,120,445), while other drugs and outpatient visits significantly trail behind at 19% and 10%, respectively. This distribution illustrates a notable trend in healthcare spending, emphasizing the dominance of AD-related expenses compared to...
Pie
Pie
1706.png
This set of three bar charts shows the polarity distribution of statement-based and question-based feedback. Each chart represents different feedback types: "All Feedback Items," "Negative Statements," and "Positive Statements." The x-axis represents polarity, ranging from -1 (negative) to 1 (positive), and the y-axis ...
Statements display stronger positive and negative polarity compared to questions, which tend to cluster around neutral polarity. Both statements and questions peak around neutral sentiment, indicating that most feedback is neither strongly positive nor negative.
Bar
Simple Bar
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This line chart titled "Changes in user choices of when to be asked again" tracks four different user response options over time. The x-axis represents the i-th time the user is choosing when to be asked next, and the y-axis represents the fraction of users selecting each option. Four lines represent different choices:...
The chart illustrates stable trends in user preferences for when they want to be asked again. The most popular choice is "Next Visit," with about 50% of users consistently choosing this option over time. "Next Week" remains the second most preferred choice, with around 30% of users selecting it, showing little change. ...
Line
Multiple Line
springer_0148.png
This scatter plot with regression line is not titled. It shows the Pr(%) on the y-axis ranging from 0 to 40. The x-axis shows a(°) on a range from 0 to 120. There are seven conditions compared.
The plot reveals that the "Long-period" condition is the most common, ranging from 10 to 30Pr. All conditions show a increase in Pr(%) with the a° increasing. The highest Pr% shows the "2P/Enkce" condition.
Scatter
Scatter plot with regression line
springer_4141.png
This line chart shows the probability density in relation to the coefficients. The y-axis shows the coefficients in the range -0.002 and 0.002 against the probability density on the y-axis, ranging from 0 to 800.
The probability density reaches its highest point at around 0 coefficients with a probability density of over 800. The increase starts at around -0.0015 and the decrease ends at around 0.015
Line
Simple Line
pie_128.png
The chart is a pie chart titled "Perceptions on Inflation." It includes a legend with categories: "Very big problem," "Moderately big problem," "Small problem," "Not a problem," and "Don't know." Each category is represetend by one slice of the pie.
A majority, 51%, view inflation as a "Very big problem," while 31% see it as "Moderately big." Smaller segments indicate less concern, with 12% seeing it as a "Small problem."
Pie
Pie
springer_3638 copy 4.png
This boxplot shows the value of RE-TP for four categories. The y-axis represents the value of RE-TP, ranging from 0 to 2. The x-axis lists the four categories: Ace, Lar, Pin, and Pop.
The plot shows that Pin has the highest median value of RE-TP, around 1, with the largest inter-quantile range. Followed by Ace category. Lar and Pop have the similar and lowest median value of RE-TP, around 0.5, with a short inter-quantile range.
Boxplot
Simple Boxplot
ACM_0330.png
This bar chart shows the distribution of homework submissions across different lines of code. The x-axis represents the "Lines of Code" ranging from 650 to 1150 using increments of 50, and the y-axis represents "Homework Submissions" ranging from 0 to 14. Each bar indicates the number of submissions with a specific amo...
The distribution of lines of code submitted is not uniform, with a peak of 13 submissions for 850-900 lines. The distribution is similar to a Gaussian, since the most and fewest lines of code see the lowest amount of submissions
Bar
Group Bar
Springer_3rd_115.png
This chart is a heatmap. The x-axis represents the predicted label, and the y-axis represents the True label. Both the x- and the y-axis have the same six categories: from '0' and '5'. The cell value represents the count number, ranging from 0 to 35.
The plot shows that the categories '0' and '2' have the highest accurate classification, 36 and 23, respectively. Notably, the class '1' and the class '2' have a higher missclassification count than other categories.
Heatmap
Heatmap
arXiv_0783.png
This bar chart is titled "GenAI roles by Industry (Top 5)", it shows the percentage of GenAI roles on the y-axis, ranging from 0 to 25%. The x-axis shows five types of Industries: Information, Manufacturing, Finance and Insurance, Retail Trade, and Health Care and Social Assistance.
The information industry has the biggest percentage of GenAI Roles with 25.3% followed by manufacturing industries with 21.1%. Finance and insurance has the next highest percentage at 15.4%, followed by retail trade at 10.8%. Health care and social assistance has the lowest percentage at 7.8%.
Bar
Simple Bar
Springer_2nd_0511.png
This pie chart is titled 'Category of UAV-manned aircraft unsafe events'. It shows the distribution of four categories: NMAC, Airport Closure, Other (each <1%), and MAC. Each category is represented by one segment of the pie, with the percentage labelled.
The chart shows that the NMAC category has the highest percentage, with 82%. Other categories have a lower percentage, less than 10%.
Pie
Pie
ArXiv_3rd_450.png
This multiple line chart shows the average utility of reachability cells on the y-axis from 2000 to 4000. The x-axis represents the average number of TDs in each cell, ranging from 300 to 800; Four conditions are compared and represented by four lines, as indicated in the legend: 'Proposed', 'Collaborative Edge-End', '...
The chart reveals that all four conditions follow a similar trend, with utility score increases as the average number of TDs in each cell increases. The "proposed" condition achieves the highest average utility score of above 4000 at 800 TDs in each cell. The other three methods achieved a similar average utility score...
Line
Multiple Line
Springer_2nd_0099.png
The chart is a horizontal bar chart titled "Age Range of Evaluators." The y-axis indicates age categories: 21 to 30 years, 31 to 40 years, 41 to 50 years, 50+ years. The x-axis denotes the number of evaluators, with a scale from 0 to 20.
The data reveals that the age group 21 to 30 years has the highest number of evaluators, indicating a significant preference for younger evaluators. In contrast, older age groups show notably fewer evaluators, suggesting a distinct demographic trend in evaluators.
Bar
Simple Bar
springer_3962.png
This horizontal bar chart shows the distribution of live microbots intake. The x-axis represents the percentage of live microbots intake, ranging from 0% to 100%, and the y-axis lists three levels from High to Low. Each horizontal bar is separated by four live microbes types. The legend lists the four types: None, MASL...
The chart shows that the ALD condition has the lowest percentage of live microbes intake in all three levels, below 5%. Followed by the MetALD type (around 6 %) and the MASLD type ( around 20%). None of the conditions takes the largest percentage in all levels, above 65%.
Bar
Stacked Bar
extra_0295.png
This pie chart shows the breakdown of 11 study categories, including "Computer Science", "Social Sciences", "Engineering", etc. Each category is represented by one segment, with a percentage labelled.
The chart reveals that Computer Science dominates with 30.9%. Social Sciences (21.3%) and Engineering (14.2%) follow. Other subjects have a lower percentage, lower than 10% each.
Pie
Pie