crypto price prediction using lstm+xgboost | Paper Citation Record

Observation 83ff627f-73c1-4720-9b2e-c75d6e3c6c9d · outbound

This paper cites Bitcoin: A Peer-to-Peer Electronic Cash System,.

crypto price prediction using lstm+xgboost Bitcoin: A Peer-to-Peer Electronic Cash System,

Reference 1

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Observation 8e7639bb-39f2-4529-92b4-c7a3162f3c3f · outbound

This paper cites What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis,.

crypto price prediction using lstm+xgboost What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis,

Reference 2

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Observation fb43b7ff-d414-476d-a6cf-27661d78f7ac · outbound

This paper cites Deep learning with long short-term memory networks for financial market predictions,.

crypto price prediction using lstm+xgboost Deep learning with long short-term memory networks for financial market predictions,

Reference 3

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Observation 7509d41d-329f-4146-8511-54345fc1b312 · outbound

This paper cites A CNN–LSTM model for gold price time-series forecasting,.

crypto price prediction using lstm+xgboost A CNN–LSTM model for gold price time-series forecasting,

Reference 4

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Observation fdd9a095-b6f8-4e2c-8675-4eea58ff4137 · outbound

This paper cites XGBoost: A scalable tree boosting system,.

crypto price prediction using lstm+xgboost XGBoost: A scalable tree boosting system,

Reference 5

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Observation 17b795b4-5df3-41e3-9c38-b67d2bc7dfc7 · outbound

This paper cites Stock price prediction using hybrid models,.

crypto price prediction using lstm+xgboost Stock price prediction using hybrid models,

Reference 6

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Observation a4b80263-a980-491b-93d5-8bb928589bc1 · outbound

This paper cites Hybrid deep learning and machine learning model for cryptocurrency prediction,.

crypto price prediction using lstm+xgboost Hybrid deep learning and machine learning model for cryptocurrency prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:44.077358Z

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Observation 982e07ab-8fd9-43f8-9caa-3fd4bc4a8a06 · outbound

This paper cites Predicting the price of Bitcoin using machine learning,.

crypto price prediction using lstm+xgboost Predicting the price of Bitcoin using machine learning,

Reference 8

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Observation cec6d5bd-66cb-43d2-b14a-4be5941f49f3 · outbound

This paper cites Cryptocurrency price prediction using tweet volumes and sentiment analysis,.

crypto price prediction using lstm+xgboost Cryptocurrency price prediction using tweet volumes and sentiment analysis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:43.891826Z

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Observation 57c7444a-f123-4d18-a450-88198593ba58 · outbound

This paper cites Cryptocurrency Price Prediction Using ML Techniques: A Comparative Study,.

crypto price prediction using lstm+xgboost Cryptocurrency Price Prediction Using ML Techniques: A Comparative Study,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:43.808385Z

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Observation 406858c3-8049-4b33-9653-4dae742b1bdc · outbound

This paper cites an unresolved cited work.

crypto price prediction using lstm+xgboost Unresolved cited work

Reference 11

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Observation f6a83d6a-36a6-4ff4-955b-c90fe5ed5355 · outbound

This paper cites Time series forecasting using a hybrid ARIMA and neural network model,.

crypto price prediction using lstm+xgboost Time series forecasting using a hybrid ARIMA and neural network model,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:43.629660Z

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Observation c89eb1e1-e0bd-4133-af6f-2f96b092d44b · outbound

This paper cites Predicting stock market index using fusion of machine learning techniques,.

crypto price prediction using lstm+xgboost Predicting stock market index using fusion of machine learning techniques,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:43.529093Z

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Observation f8875640-70fa-4be9-a852-be598dccfa48 · outbound

This paper cites A survey of the applications of text mining in financial domain,.

crypto price prediction using lstm+xgboost A survey of the applications of text mining in financial domain,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:43.434340Z

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Observation 4fa57a66-43a9-478f-9e5d-1a2329c8001a · outbound

This paper cites Temporal Fusion Transformers for interpretable multi-horizon time series forecasting,.

crypto price prediction using lstm+xgboost Temporal Fusion Transformers for interpretable multi-horizon time series forecasting,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:43.356037Z

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Observation 37d89f6f-8447-4ce0-a425-492e956ebcba · outbound

This paper cites A survey of forecasting meth- ods based on deep learning and their applications in financial time series,.

crypto price prediction using lstm+xgboost A survey of forecasting meth- ods based on deep learning and their applications in financial time series,

Reference 22

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T22:16:41.312839Z

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Observation 66b34b6a-34f3-48e0-9db4-6b7c4be451ec · outbound

This paper cites Long short-term memory,.

crypto price prediction using lstm+xgboost Long short-term memory,

Reference 23

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Observation e27e5567-3f9a-4416-bbc0-810ffcd6fd60 · outbound

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crypto price prediction using lstm+xgboost Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:16:43.261936Z

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Observation 906b095c-7d86-4b2d-b2b4-78e2ee6c6546 · outbound

This paper cites Stock price prediction via discov- ering multi-frequency trading patterns,.

crypto price prediction using lstm+xgboost Stock price prediction via discov- ering multi-frequency trading patterns,

Reference 25

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Observation 2d1ceedc-7d8c-46e6-b863-90bdf77eb5ce · outbound

This paper cites A hybrid machine learning model for stock market forecasting,.

crypto price prediction using lstm+xgboost A hybrid machine learning model for stock market forecasting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:43.144719Z

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Observation 3dad5271-ba47-4ead-b330-9714a6e1ea58 · outbound

This paper cites A hybrid deep learning model com- bining LSTM and XGBoost for stock price forecasting,.

crypto price prediction using lstm+xgboost A hybrid deep learning model com- bining LSTM and XGBoost for stock price forecasting,

Reference 27

Resolution: verified exact; doi, observed 2026-08-06T22:16:38.754981Z

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Observation c1db1502-f8c2-4ab1-ad77-471661da307c · outbound

This paper cites Forecasting the volatility of cryptocurrency time series using LSTM and XGBoost,.

crypto price prediction using lstm+xgboost Forecasting the volatility of cryptocurrency time series using LSTM and XGBoost,

Reference 28

Resolution: verified exact; doi, observed 2026-08-06T22:16:38.599410Z

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Observation f37850ef-36b2-4ad9-a866-a224bc474f7b · outbound

This paper cites Forecasting and trading cryptocur- rencies with machine learning under changing market conditions,.

crypto price prediction using lstm+xgboost Forecasting and trading cryptocur- rencies with machine learning under changing market conditions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:43.058735Z

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Observation b45e2c8e-dd7b-4dc0-99b1-ce6f78142259 · outbound

This paper cites A comparative study of Bitcoin price prediction using deep learning,.

crypto price prediction using lstm+xgboost A comparative study of Bitcoin price prediction using deep learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:42.966858Z

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Observation 09a78730-4b83-4e04-8ed5-dd650f386da7 · outbound

This paper cites Conditional tail-risk in cryptocurrency markets,.

crypto price prediction using lstm+xgboost Conditional tail-risk in cryptocurrency markets,

Reference 31

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Observation 4828790d-7bc7-496c-85ad-8e4454f163bd · outbound

This paper cites V olatility spillover effects in leading cryptocurrencies: A BEKK-MGARCH analysis,.

crypto price prediction using lstm+xgboost V olatility spillover effects in leading cryptocurrencies: A BEKK-MGARCH analysis,

Reference 32

Resolution: malformed identifier; no resolver link, observed 2026-08-06T22:16:30.581232Z

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Observation 21dbb44c-5a88-451f-997a-8b31886df443 · outbound

This paper cites Can volume predict Bitcoin returns and volatility? A quantiles-based approach,.

crypto price prediction using lstm+xgboost Can volume predict Bitcoin returns and volatility? A quantiles-based approach,

Reference 33

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Observation 453e953e-d12e-46d4-b036-55286593678e · outbound

This paper cites The economics of BitCoin price formation,.

crypto price prediction using lstm+xgboost The economics of BitCoin price formation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:42.878242Z

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Observation d7c4bf17-3d26-461b-9296-c4fd7c5c721d · outbound

This paper cites Herding in the cryp- tocurrency market: CSSD and CSAD approaches,.

crypto price prediction using lstm+xgboost Herding in the cryp- tocurrency market: CSSD and CSAD approaches,

Reference 35

Resolution: verified exact; doi, observed 2026-08-06T22:16:38.140403Z

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Observation 65ac43ee-dac7-4d00-be3f-c1b96d35b166 · outbound

This paper cites Co-explosivity in the cryptocurrency market,.

crypto price prediction using lstm+xgboost Co-explosivity in the cryptocurrency market,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:42.753984Z

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Observation b8815771-9dab-477f-818d-ecf722bb8c5c · outbound

This paper cites V olatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?,.

crypto price prediction using lstm+xgboost V olatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?,

Reference 37

Resolution: verified exact; doi, observed 2026-08-06T22:16:37.871401Z

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Observation e37a7111-e192-4549-9c4d-e96097166e1c · outbound

This paper cites Estimating the volatility of cryptocurrencies during bearish markets by employing GARCH models,.

crypto price prediction using lstm+xgboost Estimating the volatility of cryptocurrencies during bearish markets by employing GARCH models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:42.625667Z

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Observation 40d92c40-c50e-484a-a07a-1ad09a0e7034 · outbound

This paper cites an unresolved cited work.

crypto price prediction using lstm+xgboost Unresolved cited work

Reference 39

Resolution: verified exact; doi, observed 2026-08-06T22:16:38.010989Z

Source-reported events for the cited work

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Observation 93a0b695-13c7-428c-afa8-6717a852bde2 · outbound

This paper cites A comparison of ARIMA and LSTM in forecasting time series,.

crypto price prediction using lstm+xgboost A comparison of ARIMA and LSTM in forecasting time series,

Reference 40

Resolution: verified exact; raw_fallback, observed 2026-08-06T22:16:40.987749Z

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Observation 2deb2aee-3f69-4de3-8ed1-a3496df72760 · outbound

This paper cites An ensemble of LSTM deep learning networks for forecasting cryptocurrency pricing using technical indicators,.

crypto price prediction using lstm+xgboost An ensemble of LSTM deep learning networks for forecasting cryptocurrency pricing using technical indicators,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:42.508778Z

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Observation 3a38c68c-aecf-485d-b64b-fbeecceac1bf · outbound

This paper cites an unresolved cited work.

crypto price prediction using lstm+xgboost Unresolved cited work

Reference 42

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Observation 1bdbe98f-1544-4f12-9123-72da6354689c · outbound

This paper cites Technical trading and cryptocurrencies,.

crypto price prediction using lstm+xgboost Technical trading and cryptocurrencies,

Reference 43

Resolution: verified exact; doi, observed 2026-08-06T22:16:37.599125Z

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Observation 0a55a197-01ff-4909-8761-6105bf59ccce · outbound

This paper cites Cryptocurrency price drivers: Wavelet coherence analysis revisited,.

crypto price prediction using lstm+xgboost Cryptocurrency price drivers: Wavelet coherence analysis revisited,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:42.380900Z

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Observation 45d7993d-2422-4a0e-ac93-4940c2307ab5 · outbound

This paper cites Asymmetric and time-frequency spillovers among commodities, cryptocurrencies, and conventional assets,.

crypto price prediction using lstm+xgboost Asymmetric and time-frequency spillovers among commodities, cryptocurrencies, and conventional assets,

Reference 45

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T22:16:40.580311Z

Source-reported events for the cited work

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Observation 73aadd40-b03f-4ce7-8a0a-d970fe96c41d · outbound

This paper cites Cryptocurrency forecasting with deep learning chaotic neural networks,.

crypto price prediction using lstm+xgboost Cryptocurrency forecasting with deep learning chaotic neural networks,

Reference 46

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Source-reported events for the cited work

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Observation fd08f36d-746d-469d-8679-90b3cc2bf9cc · outbound

This paper cites An ad- vanced CNN-LSTM model for cryptocurrency forecasting,.

crypto price prediction using lstm+xgboost An ad- vanced CNN-LSTM model for cryptocurrency forecasting,

Reference 47

Resolution: verified exact; doi, observed 2026-08-06T22:16:37.426175Z

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Observation 9e92ba9c-6701-43c2-836c-3324d024c256 · outbound

This paper cites Co-movements between Bitcoin and Gold: A wavelet coherence analysis,.

crypto price prediction using lstm+xgboost Co-movements between Bitcoin and Gold: A wavelet coherence analysis,

Reference 48

Resolution: verified exact; doi, observed 2026-08-06T22:16:37.243097Z

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Observation 0d07d6da-c6f5-4596-875c-f8b8d184ca4c · outbound

This paper cites A hybrid deep learning model for time series forecasting based on LSTM and Gated Recurrent Unit,.

crypto price prediction using lstm+xgboost A hybrid deep learning model for time series forecasting based on LSTM and Gated Recurrent Unit,

Reference 49

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T22:16:40.212244Z

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Observation f6591861-384b-4395-b425-d291de44b9f3 · outbound

This paper cites Combining feature selection and deep learning for cryptocurrency price prediction,.

crypto price prediction using lstm+xgboost Combining feature selection and deep learning for cryptocurrency price prediction,

Reference 50

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T22:16:42.253413Z

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Observation c7f34f19-29a5-4479-890d-0ccb54914588 · outbound

This paper cites Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction.

crypto price prediction using lstm+xgboost Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:16:39.888349Z

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Observation 2cba1940-07ae-454b-8233-8b94ec87fd92 · outbound

This paper cites Optimizing financial time series predictions with hybrid ARIMA, LSTM, and XGBoost models,.

crypto price prediction using lstm+xgboost Optimizing financial time series predictions with hybrid ARIMA, LSTM, and XGBoost models,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:42.161793Z

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Observation cb296f2f-4e5f-4640-9d02-acd5013d3032 · outbound

This paper cites A novel cryptocurrency price trend forecasting model based on LightGBM,.

crypto price prediction using lstm+xgboost A novel cryptocurrency price trend forecasting model based on LightGBM,

Reference 53

Resolution: verified exact; doi, observed 2026-08-06T22:16:36.783702Z

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Observation ccae8cca-e3ab-4647-8d6c-cd3b6aa3303e · outbound

This paper cites Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques,.

crypto price prediction using lstm+xgboost Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques,

Reference 54

Resolution: verified exact; doi, observed 2026-08-06T22:16:36.633156Z

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Observation af9c307d-7ad2-47f1-9cc5-03b843135c40 · outbound

This paper cites Price Prediction of the Cryptocurrency from Niche Market Based on Random Forest, LSTM and XGBoost,.

crypto price prediction using lstm+xgboost Price Prediction of the Cryptocurrency from Niche Market Based on Random Forest, LSTM and XGBoost,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:41.976195Z

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Observation d0cf6534-5e28-45e8-9fca-36c85e84d005 · outbound

This paper cites Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis.

crypto price prediction using lstm+xgboost Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:16:39.400868Z

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Observation 222c9c35-6446-4436-a7f4-69825216942f · outbound

This paper cites LSTM-Based Time Series Prediction Model: A Case Study with YFinance Stock Data,.

crypto price prediction using lstm+xgboost LSTM-Based Time Series Prediction Model: A Case Study with YFinance Stock Data,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:41.855691Z

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Observation 848a4031-c54c-4904-835d-59b871009bb2 · outbound

This paper cites Comparing Machine Learning Meth- ods—SVR, XGBoost, LSTM, and MLP—For Forecasting the Moroccan Stock Market,.

crypto price prediction using lstm+xgboost Comparing Machine Learning Meth- ods—SVR, XGBoost, LSTM, and MLP—For Forecasting the Moroccan Stock Market,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:41.745627Z

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Observation 48da5b99-3030-4650-a1aa-0350cecfd14d · outbound

This paper cites Hybrid cryptocurrency price prediction integrating EGARCH and LSTM with explainable AI,.

crypto price prediction using lstm+xgboost Hybrid cryptocurrency price prediction integrating EGARCH and LSTM with explainable AI,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:42.072533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fdcc30b4-3ba3-406f-90b3-39721a8fe6d0 · outbound

This paper cites A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices.

crypto price prediction using lstm+xgboost A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:16:39.648234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4523ec18-fcf8-49b1-93d7-5cda96bd8edc · outbound

This paper cites Online Deep Learning for Real-Time Stock Trend Prediction,.

crypto price prediction using lstm+xgboost Online Deep Learning for Real-Time Stock Trend Prediction,

Reference 61

Resolution: verified exact; doi, observed 2026-08-06T22:16:36.490815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1954759c-08dc-4ffe-8517-540f65fda9d8 · outbound

This paper cites Crypto-News Sentiment Analysis Using LSTM with Attention Mechanism,.

crypto price prediction using lstm+xgboost Crypto-News Sentiment Analysis Using LSTM with Attention Mechanism,

Reference 62

Resolution: verified exact; doi, observed 2026-08-06T22:16:36.293572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7cb04f26-d575-4516-b2af-5b524fa2cbe3 · outbound

This paper cites Hybrid Forecasting Model Using Transformer and XGBoost for Time Series Prediction,.

crypto price prediction using lstm+xgboost Hybrid Forecasting Model Using Transformer and XGBoost for Time Series Prediction,

Reference 63

Resolution: verified exact; doi, observed 2026-08-06T22:16:36.114535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9d49fb2-2ec3-41cc-bb8e-74727708e188 · outbound

This paper cites Predicting Cryptocurrency Prices Using Sentiment and Technical Indicators,.

crypto price prediction using lstm+xgboost Predicting Cryptocurrency Prices Using Sentiment and Technical Indicators,

Reference 64

Resolution: malformed identifier; no resolver link, observed 2026-08-06T22:16:34.708019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9066c3c5-6133-4e08-9e75-1373a4e4b105 · outbound

This paper cites Time-Series Forecasting Using SVMD- LSTM: A Hybrid Approach for Stock Market Prediction,.

crypto price prediction using lstm+xgboost Time-Series Forecasting Using SVMD- LSTM: A Hybrid Approach for Stock Market Prediction,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:41.636063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15e6735d-b70a-45c0-af28-e9ab1fa3499a · outbound

This paper cites LSTM Based Sentiment Analysis for Cryptocurrency Prediction.

crypto price prediction using lstm+xgboost LSTM Based Sentiment Analysis for Cryptocurrency Prediction

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:16:39.186870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20a30b64-1539-41cc-96c1-91e92100a97e · outbound

This paper cites Transfer Learning for Cross-Market Stock Price Prediction,.

crypto price prediction using lstm+xgboost Transfer Learning for Cross-Market Stock Price Prediction,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:41.556639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f903b53-63b8-4a0b-ab32-daef35d55515 · outbound

This paper cites Combining Multivariate Time Series and Graph Neural Networks for Financial Forecasting,.

crypto price prediction using lstm+xgboost Combining Multivariate Time Series and Graph Neural Networks for Financial Forecasting,

Reference 68

Resolution: verified exact; doi, observed 2026-08-06T22:16:35.742668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ab5ac59-a54a-479d-b221-8555e5ced7d3 · outbound

This paper cites Real-Time Deep Learning Pipeline for Cryp- tocurrency Price Prediction on Edge Devices,.

crypto price prediction using lstm+xgboost Real-Time Deep Learning Pipeline for Cryp- tocurrency Price Prediction on Edge Devices,

Reference 69

Resolution: verified exact; doi, observed 2026-08-06T22:16:35.548593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation abff4528-b76d-4050-b002-247bd93dd8ec · outbound

This paper cites A Survey on Explainable AI for Deep Learning-Based Time Series Forecasting,.

crypto price prediction using lstm+xgboost A Survey on Explainable AI for Deep Learning-Based Time Series Forecasting,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:41.475575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e0c1aee-2299-4e4c-8460-bad77f2bf14d · outbound

This paper cites SHAP-Based Explanation of XGBoost-LSTM Hy- brid Models in Financial Forecasting,.

crypto price prediction using lstm+xgboost SHAP-Based Explanation of XGBoost-LSTM Hy- brid Models in Financial Forecasting,

Reference 71

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T22:16:39.022668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c38435e-d74a-4d94-b365-f8d6bb18d2c0 · outbound

This paper cites Multi-objective Evolutionary Optimization in Cryptocurrency Portfolio Design,.

crypto price prediction using lstm+xgboost Multi-objective Evolutionary Optimization in Cryptocurrency Portfolio Design,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:34.929966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b7f3597-19d3-49a6-8404-725168fccca2 · outbound

This paper cites Available: https://doi.org/10.1016/j.patrec.2020.12.002.

crypto price prediction using lstm+xgboost Available: https://doi.org/10.1016/j.patrec.2020.12.002

Reference 74

Resolution: verified exact; doi, observed 2026-08-06T22:16:35.936009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5e64701-b6b3-4933-98d1-fdc588d97474 · outbound

This paper cites an unresolved cited work.

crypto price prediction using lstm+xgboost Unresolved cited work

Reference 2016

Resolution: verified exact; raw_fallback, observed 2026-08-06T22:16:41.139079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0e16b8a3-9ab4-4e9d-8aed-eb8448344dae · outbound

This paper cites an unresolved cited work.

crypto price prediction using lstm+xgboost Unresolved cited work

Reference 2018

Resolution: verified exact; doi, observed 2026-08-06T22:16:37.084482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b88f5b10-a991-4f20-874e-79bfe00dee65 · outbound

This paper cites an unresolved cited work.

crypto price prediction using lstm+xgboost Unresolved cited work

Reference 2019

Resolution: verified exact; doi, observed 2026-08-06T22:16:38.438809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a0d2a89-843a-4451-9357-fa2258048ef6 · outbound

This paper cites an unresolved cited work.

crypto price prediction using lstm+xgboost Unresolved cited work

Reference 2021

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T22:16:40.720434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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